Bollinger Bands Trading Strategy (Backtesting with MarketXLS)

Trading Ideas For Next Week [Week 2] (Part 1)

Trading Ideas For Next Week [Week 2] (Part 1)
Due to popular demand I've decided to bring this series back for a week 2 and I'll continue to release 3-5 trading ideas every Saturday. How do you guys feel about the name of this series? Would you like me to change the name to something like "Setup Saturdays" or are you guys cool with the current naming scheme?
So this week I wanted to be a lot more in depth in my analysis and setups since I didn't think I was super clear last week with my reasoning on some the setups. I want these posts to be as beginner friendly as possible because there's a lot more beginners in this Subreddit than I had realized. I want you to use this as an educational tool and not as a signal service as a result I'm going to give you possible trade setups and I want you to be the judge of whether you should enter once/if price gets to that point since I feel like that will benefit beginners in the long run. I got a couple questions about top down time frame analysis so that'll be a focus of today's post. Scroll down to NZDJPY if you really want an in-depth look at how I perform top down time frame analysis.
I'll include a picture of a chart and my TradingView chart so if you want to zoom in and out of the chart you'll have that ability to do so.
Quick Disclaimer: Some of the charts pricing might be off by a bit since I started working on this during the New York session on Friday. If any of the charts are impacted in a way that alters the setup I'll be sure to update the charts before I post this on Saturday. Just gotta hope that hope that Powell doesn't break the market or else I might have to redo this entire post.
AUDUSD:

AUDUSD Daily
TradingView Link For Daily: https://www.tradingview.com/chart/AUDUSD/Wb5K2bS8-AUDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Which way is the trend pointing? It looks like it's pointing up which we can see with the green trend line but how about we zoom in to the 4 hour char to see if that's actually the case.
Tip: When drawing a trend line, especially on the daily and higher time frames, remember to hit as many wicks as possible since they are relevant and not just some anomaly you can ignore.

AUDUSD 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/AUDUSD/aah8294z-AUDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: When we got close to where we are with price and we draw a Fibonacci Retracement from the point where price took off to the point where price peaked we can see that price came down to .5 Fibonacci level where it then started going up again. Coincidence? Possibly. As a result I believe that price could continue higher and it would be justified if it did. However, if we look at the trend lines we can see that price appears to have broke put of of our major trend line (Green) which means that price could fall to the downside if it's actually a breakout. Price then appears like it would then adhere to the new minor trend line (Red). There's also the possibility that this was just a fake breakout and price could go up and adhere to green trend line. I'm going to have a selling bias on this trade since price looks like it double topped at the highs of this year and it looks like we could see price fall. I'm leaning towards the drop of price due to the symmetrical triangle pattern created by the major and minor trend line and looks like price is going to get pushed down which we should get an idea of soon.
Tip: Every time price makes a large move and falls/rises after making a peak/valley always pull out the Fibonacci retracement tool to see if price will bounce from the .382, .5, or .618 levels as they are the most significant levels. This can tell you if you're going to likely get a trend continuation.

AUDUSD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/AUDUSD/IHgrnfYs-AUDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: I drew out multiple different scenarios which I think can play out since like I said before we're not trying to predict a single movement but we're preparing to be reactive to an ideal condition which may be thrown at us. Remember that major trend line we drew in on the daily chart well it's going to play a large role here. This trend line has been in the making since March so we're not just going to brush it off. The trend line appears to have been broken and we seem to be sticking that minor trend line after the break of the symmetrical triangle pattern. After the break of the symmetrical triangle pattern price usually gets pushed heavily to one side and it looks like price is wanting to get pushed to the downside. As a result, I'm going to really keep on eyes on scenario the blue arrows display since I think it's the most probable. Looking at the scenario there are going to be two potentially good entry points for a sell. The first being when price goes up to retest the green trend line which would also serve as a bounce from our red trend line. Once we get that bounce we could enter in for a sell with a take profit hopefully somewhere around the .66 area. Another good entry would be when price breaks the zone of support of .68 and after it retests it. Wait for a confirmation candlestick pattern showing price will fall when retesting (i.e. railroad track, bullish engulfment candle, evening star, shooting star, etc.). Look for these candlestick patterns on the 15 minute chart. Once you got the confirmation take the sell and ride price down to the .66 zone. The other scenario that could occur is we could see price go back into the green trend line by breaking the red trend line (Orange Arrows). If this occurs we want to catch the retest bounce of the red trend line and ride price up to the high of the year which is at .702. At that point price could break the resistance at which point we could catch the retest of the zone and ride price up. Or it could go up to .702 create a triple top and fall. If you get a candlestick confirmation saying it'll fall then take a sell at the high of the year.
NZDUSD:
If there's something I really like in Forex it's definitely got to be harmonic patterns due to their high accuracy. NZDUSD just recently completed one of them and this is a really good indicator of what price is going to do.

NZDUSD Daily
TradingView Chart For Daily: https://www.tradingview.com/chart/NZDUSD/zQpHzUcK-NZDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Yes, we have trend line that says that price is going up however I make exceptions for Harmonic patterns since they are accurate about 80%-90% of the time. The pattern you see above is know as a Bearish Bat Pattern. Like the name says it's an indicator that price is going to go Bearish so although the trend line is going up I'm going to have a bearish bias on this trade.

NZDUSD 4 Hour
TradingView Chart For 4 Hour: https://www.tradingview.com/chart/NZDUSD/C29kpCyO-NZDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Not really much to add here just tossed on a Fibonacci retracement tool from where price took off to the peak just to check for any potential support from any of the major levels which we don't appear to have. We'll go a lot more in-depth on this pair on the 1 hour chart since that's where things get interesting.

NZDUSD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/NZDUSD/dKJatcM7-NZDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at price we can see that since June 11th price has been trading in a boxed consolidation range. Again I drew out the possibilities I believe could be ideal for us. Remember that I said Harmonics work 80%-90%. Well that means that they fail 10%-20% of the time which is definitely not something we can neglect. We can see that there's a descending triangle which price is reaching the end of. This means that price is getting ready to move to one direction since big moves always come after consolidation. If it moves to upside wait for price to close above the the spot marked D then you can enter for a buy and ride price up to the .67525 zone where price could break to upside or bounce back down (Orange Arrow). Remember to wait for it to actually close above point D since it could create a triple top and drive price back down. It's the same procedure as AUDUSD here if it makes this move where if it breaks it then catch the retest and if it looks like it's wanting to fall down wait for a confirmation pattern. If it breaks the box to the downside and breaks the support zone then take a sell and ride price down to the trend line at which point you should close the trade as there's a chance price could move against you and it's best to secure profits while you can. Once at the trend line it could bounce and if it does you should be able to ride price up to that .67525 zone (Green Arrow). If price breaks the trend line then wait for the retest and you should be able to ride price down pretty far (Red Arrows). I think you should be able to ride it down to .5918 zone but you'll have to keep your on it.
EURNZD:

EURNZD Daily
TradingView Link For Daily: https://www.tradingview.com/chart/EURNZD/jzgmGcRe-EURNZD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Well we got a pretty clear descending channel and price looks like it's at the top part of the channel currently so we're going to want to look for some optimal selling conditions due to the down trend.

EURNZD 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/EURNZD/YzOpvcH7-EURNZD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at the 4 hour chart we can see that there appears to be a symmetrical triangle coming to it's end meaning price is getting ready to get pushed to a side. I believe it'll break the triangle and fall to the downside so once you see it break it would be a good idea to take a sell and ride price down to that support zone at 1.7187. Price could also briefly break to the upside then bounce off the top of the channel and it does take a trade from the bounce and ride price down to the same support zone. At that point, I'll leave it up to you to determine how you think price will go and what you should be looking for. Consider it to be a little quiz if you want to think of it like that. You've got my charts so use them as a reference since I've already marked some crucial support/resistance zones which we should keep our on for the next couple weeks.

EURNZD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/EURNZD/ICWvgEsg-EURNZD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: There's nothing that special on the one hour chart that I have to point out since I think we pretty much got all the big stuff out of the way on our analysis of the 4 hour chart. Be sure to get a good sell in there since there are two potentially good setups which I've outlined for you. Also be sure to be careful and wait for the bounce of the channel if price goes that way since there's a chance price could break the channel and I don't want you to take a loss because you were impatient.
NZDJPY:
This pair is going to be really fun since we're going to be looking through a lot of time frames so if you really want to learn about a top down approach to analyzing time frames and trends then pay very close attention to how I break down this trade.

NZDJPY Monthly
TradingView Link For Monthly: https://www.tradingview.com/chart/NZDJPY/jZh4F2Jv-NZDJPY-Monthly-For-Reddit-Post-6-20-U-AD3133/
Analysis: Yes, we're actually going to be looking at the monthly chart. I bet you guys don't do that very often. Looking at it we can see that price has been following a clear down trend line since late 2014. If you look at the wick of this month's candle you can see that it appears to have touched the trend line meaning we could see a good opportunity to catch a sell since it had just recently bounced off. Let's take a look at lower time frames to see if this continues to be true.

NZDJPY Weekly
TradingView Link For Weekly: https://www.tradingview.com/chart/NZDJPY/dpvI29BB-NZDJPY-Weekly-For-Reddit-Post-6-20-U-AD3133/
Analysis: When zooming into the weekly we can see that using the wicks of the candles we can actually draw a channel for the low portion that runs pretty much in parallel to the trend line we drew on the monthly chart. We can see that price clearly bounced from the trend line and I think this gives us good reason to believe in the coming weeks we could see the price drop. Also looking at the Bollinger Bands we can see that price also bounced from the top band which also supports a drop of price. Let's go into the daily to see if we can get a better idea.

NZDJPY Daily
TradingView Link For Daily: https://www.tradingview.com/chart/NZDJPY/NbWLURkU-NZDJPY-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at the daily time frame we can see that price is currently consolidated and remember big moves always come after consolidation. If you look closely however you can see that price looks like it's about to break the 200 day EMA (Orange line). If it breaks the EMA we could see price drop pretty far at an accelerated rate. Besides those couple observations there's not much else going on with the daily chart.

NZDJPY 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/NZDJPY/d1kaogH5-NZDJPY-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Would you look at that, it looks like we got a descending triangle on the 4 hour chart which looks like it's coming to an end. Looking at price it looks like it's wanting to push to the downside. Once you get a break below the lows of the day of June 11th I think it would be a safe bet to take a sell trade and ride it down for 66.825 for this week. If it breaks the 66.825 support zone then I'll definitely take a sell and try to ride price down to the bottom of the channel which we drew on the weekly chart. There's also the possibility that price could take support at any of these support zones and then head back up to test the top of the channel. At which point I'll be looking to get into a sell at the top of the channel but I won't ride price up to the channel since at this current point in time I feel like there's a large amount of risk in that.

NZDJPY 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/NZDJPY/83b47mFS-NZDJPY-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Not much more to add here since I think by this point we got the entire story so I'm not going to say much more about the 1 hour chart since I think the analysis for the 4 hour chart also sums this up pretty well.
Well that was a lot of information to go through and I hope you found some value in this since it took me quite a few hours to put this together for you guys. Truth be told, I spent most of Friday working on this so I hope at least one person finds some value in which case I'll consider it a win.
So you guys tired of me yet or do you want me to continue this series for a week 3? It takes a lot of time and effort to put this together so I'll only do it if people want it or else I'll pretty much feel like I wasted my time. I might put together a little lesson on how to use the COT in order to catch some big reversal moves in the market since the COT pretty much tells you what the hedge funds are doing and you also want to trade with the hedge funds and institutions. It'll probably take a couple weeks since I'll have to compile some data together and wait for a setup before putting that out but I'll be working on it. Are there any other things you may want explained? Let me know and I'll try to find setups which contain the topic you may want more details on. I hope you have a great trading week!
submitted by AD3133 to Forex [link] [comments]

Bollinger Bands and the SPY, something that I saw trading Forex that seems to easy to predict the SPY

I usually trade Forex every other day if im not in any options
I threw the SPY into my Metatrader 4 for Forex and was playing around with indicators
for some reason the SPY and the Bollinger Bands seems too predictable
The SPY always tests the outside of the center deviation band, always taps and back tests
seems odd that an indicator would work this well and this hasnt been talked about for the SPY on here
go to tradingview.com
use the SPY chart and throw on the Bollinger bands
seems to easy to trade based off of history
Super easy YOLO calls and PUTS on SPY from now on?
UPDATE: https://imgur.com/a/3fCWmCG Here is an image of the 1 Hour chart with the SPY. Seems like it would be a good idea to purchase Options/Stocks at CenteMid Deviation, and if it keeps falling just purchase more
looking at the chart it seems like it will keep hitting center deviation the next time it drop down and then shoot back up, i will buy in on shares to test and then hold, options would be to risky for this test.
Wish me luck nerds
submitted by rawrtherapy to wallstreetbets [link] [comments]

How to get started in Forex - A comprehensive guide for newbies

Almost every day people come to this subreddit asking the same basic questions over and over again. I've put this guide together to point you in the right direction and help you get started on your forex journey.

A quick background on me before you ask: My name is Bob, I'm based out of western Canada. I started my forex journey back in January 2018 and am still learning. However I am trading live, not on demo accounts. I also code my own EA's. I not certified, licensed, insured, or even remotely qualified as a professional in the finance industry. Nothing I say constitutes financial advice. Take what I'm saying with a grain of salt, but everything I've outlined below is a synopsis of some tough lessons I've learned over the last year of being in this business.

LET'S GET SOME UNPLEASANTNESS OUT OF THE WAY

I'm going to call you stupid. I'm also going to call you dumb. I'm going to call you many other things. I do this because odds are, you are stupid, foolish,and just asking to have your money taken away. Welcome to the 95% of retail traders. Perhaps uneducated or uninformed are better phrases, but I've never been a big proponent of being politically correct.

Want to get out of the 95% and join the 5% of us who actually make money doing this? Put your grown up pants on, buck up, and don't give me any of this pc "This is hurting my feelings so I'm not going to listen to you" bullshit that the world has been moving towards.

Let's rip the bandage off quickly on this point - the world does not give a fuck about you. At one point maybe it did, it was this amazing vision nicknamed the American Dream. It died an agonizing, horrible death at the hand of capitalists and entrepreneurs. The world today revolves around money. Your money, my money, everybody's money. People want to take your money to add it to theirs. They don't give a fuck if it forces you out on the street and your family has to live in cardboard box. The world just stopped caring in general. It sucks, but it's the way the world works now. Welcome to the new world order. It's called Capitalism.

And here comes the next hard truth that you will need to accept - Forex is a cruel bitch of a mistress. She will hurt you. She will torment you. She will give you nightmares. She will keep you awake at night. And then she will tease you with a glimmer of hope to lure you into a false sense of security before she then guts you like a fish and shows you what your insides look like. This statement applies to all trading markets - they are cruel, ruthless, and not for the weak minded.

The sooner you accept these truths, the sooner you will become profitable. Don't accept it? That's fine. Don't bother reading any further. If I've offended you I don't give a fuck. You can run back home and hide under your bed. The world doesn't care and neither do I.

For what it's worth - I am not normally an major condescending asshole like the above paragraphs would suggest. In fact, if you look through my posts on this subreddit you will see I am actually quite helpful most of the time to many people who come here. But I need you to really understand that Forex is not for most people. It will make you cry. And if the markets themselves don't do it, the people in the markets will.

LESSON 1 - LEARN THE BASICS

Save yourself and everybody here a bunch of time - learn the basics of forex. You can learn the basics for free - BabyPips has one of the best free courses online which explains what exactly forex is, how it works, different strategies and methods of how to approach trading, and many other amazing topics.

You can access the BabyPips course by clicking this link: https://www.babypips.com/learn/forex

Do EVERY course in the School of Pipsology. It's free, it's comprehensive, and it will save you from a lot of trouble. It also has the added benefit of preventing you from looking foolish and uneducated when you come here asking for help if you already know this stuff.

If you still have questions about how forex works, please see the FREE RESOURCES links on the /Forex FAQ which can be found here: https://www.reddit.com/Forex/wiki/index

Quiz Time
Answer these questions truthfully to yourself:

-What is the difference between a market order, a stop order, and a limit order?
-How do you draw a support/resistance line? (Demonstrate it to yourself)
-What is the difference between MACD, RSI, and Stochastic indicators?
-What is fundamental analysis and how does it differ from technical analysis and price action trading?
-True or False: It's better to have a broker who gives you 500:1 margin instead of 50:1 margin. Be able to justify your reasoning.

If you don't know to answer to any of these questions, then you aren't ready to move on. Go back to the School of Pipsology linked above and do it all again.

If you can answer these questions without having to refer to any kind of reference then congratulations, you are ready to move past being a forex newbie and are ready to dive into the wonderful world of currency trading! Move onto Lesson 2 below.

LESSON 2 - RANDOM STRANGERS ARE NOT GOING TO HELP YOU GET RICH IN FOREX

This may come as a bit of a shock to you, but that random stranger on instagram who is posting about how he is killing it on forex is not trying to insprire you to greatness. He's also not trying to help you. He's also not trying to teach you how to attain financial freedom.

99.99999% of people posting about wanting to help you become rich in forex are LYING TO YOU.

Why would such nice, polite people do such a thing? Because THEY ARE TRYING TO PROFIT FROM YOUR STUPIDITY.

Plain and simple. Here's just a few ways these "experts" and "gurus" profit from you:


These are just a few examples. The reality is that very few people make it big in forex or any kind of trading. If somebody is trying to sell you the dream, they are essentially a magician - making you look the other way while they snatch your wallet and clean you out.

Additionally, on the topic of fund managers - legitimate fund managers will be certified, licensed, and insured. Ask them for proof of those 3 things. What they typically look like are:

If you are talking to a fund manager and they are insisting they have all of these, get a copy of their verification documents and lookup their licenses on the directories of the issuers to verify they are valid. If they are, then at least you are talking to somebody who seems to have their shit together and is doing investment management and trading as a professional and you are at least partially protected when the shit hits the fan.


LESSON 3 - UNDERSTAND YOUR RISK

Many people jump into Forex, drop $2000 into a broker account and start trading 1 lot orders because they signed up with a broker thinking they will get rich because they were given 500:1 margin and can risk it all on each trade. Worst-case scenario you lose your account, best case scenario you become a millionaire very quickly. Seems like a pretty good gamble right? You are dead wrong.

As a new trader, you should never risk more than 1% of your account balance on a trade. If you have some experience and are confident and doing well, then it's perfectly natural to risk 2-3% of your account per trade. Anybody who risks more than 4-5% of their account on a single trade deserves to blow their account. At that point you aren't trading, you are gambling. Don't pretend you are a trader when really you are just putting everything on red and hoping the roulette ball lands in the right spot. It's stupid and reckless and going to screw you very quickly.

Let's do some math here:

You put $2,000 into your trading account.
Risking 1% means you are willing to lose $20 per trade. That means you are going to be trading micro lots, or 0.01 lots most likely ($0.10/pip). At that level you can have a trade stop loss at -200 pips and only lose $20. It's the best starting point for anybody. Additionally, if you SL 20 trades in a row you are only down $200 (or 10% of your account) which isn't that difficult to recover from.
Risking 3% means you are willing to lose $60 per trade. You could do mini lots at this point, which is 0.1 lots (or $1/pip). Let's say you SL on 20 trades in a row. You've just lost $1,200 or 60% of your account. Even veteran traders will go through periods of repeat SL'ing, you are not a special snowflake and are not immune to periods of major drawdown.
Risking 5% means you are willing to lose $100 per trade. SL 20 trades in a row, your account is blown. As Red Foreman would call it - Good job dumbass.

Never risk more than 1% of your account on any trade until you can show that you are either consistently breaking even or making a profit. By consistently, I mean 200 trades minimum. You do 200 trades over a period of time and either break-even or make a profit, then you should be alright to increase your risk.

Unfortunately, this is where many retail traders get greedy and blow it. They will do 10 trades and hit their profit target on 9 of them. They will start seeing huge piles of money in their future and get greedy. They will start taking more risk on their trades than their account can handle.

200 trades of break-even or profitable performance risking 1% per trade. Don't even think about increasing your risk tolerance until you do it. When you get to this point, increase you risk to 2%. Do 1,000 trades at this level and show break-even or profit. If you blow your account, go back down to 1% until you can figure out what the hell you did differently or wrong, fix your strategy, and try again.

Once you clear 1,000 trades at 2%, it's really up to you if you want to increase your risk. I don't recommend it. Even 2% is bordering on gambling to be honest.


LESSON 4 - THE 500 PIP DRAWDOWN RULE

This is a rule I created for myself and it's a great way to help protect your account from blowing.

Sometimes the market goes insane. Like really insane. Insane to the point that your broker can't keep up and they can't hold your orders to the SL and TP levels you specified. They will try, but during a flash crash like we had at the start of January 2019 the rules can sometimes go flying out the window on account of the trading servers being unable to keep up with all the shit that's hitting the fan.

Because of this I live by a rule I call the 500 Pip Drawdown Rule and it's really quite simple - Have enough funds in your account to cover a 500 pip drawdown on your largest open trade. I don't care if you set a SL of -50 pips. During a flash crash that shit sometimes just breaks.

So let's use an example - you open a 0.1 lot short order on USDCAD and set the SL to 50 pips (so you'd only lose $50 if you hit stoploss). An hour later Trump makes some absurd announcement which causes a massive fundamental event on the market. A flash crash happens and over the course of the next few minutes USDCAD spikes up 500 pips, your broker is struggling to keep shit under control and your order slips through the cracks. By the time your broker is able to clear the backlog of orders and activity, your order closes out at 500 pips in the red. You just lost $500 when you intended initially to only risk $50.

It gets kinda scary if you are dealing with whole lot orders. A single order with a 500 pip drawdown is $5,000 gone in an instant. That will decimate many trader accounts.

Remember my statements above about Forex being a cruel bitch of a mistress? I wasn't kidding.

Granted - the above scenario is very rare to actually happen. But glitches to happen from time to time. Broker servers go offline. Weird shit happens which sets off a fundamental shift. Lots of stuff can break your account very quickly if you aren't using proper risk management.


LESSON 5 - UNDERSTAND DIFFERENT TRADING METHODOLOGIES

Generally speaking, there are 3 trading methodologies that traders employ. It's important to figure out what method you intend to use before asking for help. Each has their pros and cons, and you can combine them in a somewhat hybrid methodology but that introduces challenges as well.

In a nutshell:

Now you may be thinking that you want to be a a price action trader - you should still learn the principles and concepts behind TA and FA. Same if you are planning to be a technical trader - you should learn about price action and fundamental analysis. More knowledge is better, always.

With regards to technical analysis, you need to really understand what the different indicators are tell you. It's very easy to misinterpret what an indicator is telling you, which causes you to make a bad trade and lose money. It's also important to understand that every indicator can be tuned to your personal preferences.

You might find, for example, that using Bollinger Bands with the normal 20 period SMA close, 2 standard deviation is not effective for how you look at the chart, but changing that to say a 20 period EMA average price, 1 standard deviation bollinger band indicator could give you significantly more insight.


LESSON 6 - TIMEFRAMES MATTER

Understanding the differences in which timeframes you trade on will make or break your chosen strategy. Some strategies work really well on Daily timeframes (i.e. Ichimoku) but they fall flat on their face if you use them on 1H timeframes, for example.

There is no right or wrong answer on what timeframe is best to trade on. Generally speaking however, there are 2 things to consider:


If you are a total newbie to forex, I suggest you don't trade on anything shorter than the 1H timeframe when you are first learning. Trading on higher timeframes tends to be much more forgiving and profitable per trade. Scalping is a delicate art and requires finesse and can be very challenging when you are first starting out.


LESSON 7 - AUTOBOTS...ROLL OUT!

Yeah...I'm a geek and grew up with the Transformers franchise decades before Michael Bay came along. Deal with it.

Forex bots are called EA's (Expert Advisors). They can be wonderous and devastating at the same time. /Forex is not really the best place to get help with them. That is what /algotrading is useful for. However some of us that lurk on /Forex code EA's and will try to assist when we can.

Anybody can learn to code an EA. But just like how 95% of retail traders fail, I would estimate the same is true for forex bots. Either the strategy doesn't work, the code is buggy, or many other reasons can cause EA's to fail. Because EA's can often times run up hundreds of orders in a very quick period of time, it's critical that you test them repeatedly before letting them lose on a live trading account so they don't blow your account to pieces. You have been warned.

If you want to learn how to code an EA, I suggest you start with MQL. It's a programming language which can be directly interpretted by Meta Trader. The Meta Trader terminal client even gives you a built in IDE for coding EA's in MQL. The downside is it can be buggy and glitchy and caused many frustrating hours of work to figure out what is wrong.

If you don't want to learn MQL, you can code an EA up in just about any programming language. Python is really popular for forex bots for some reason. But that doesn't mean you couldn't do it in something like C++ or Java or hell even something more unusual like JQuery if you really wanted.

I'm not going to get into the finer details of how to code EA's, there are some amazing guides out there. Just be careful with them. They can be your best friend and at the same time also your worst enemy when it comes to forex.

One final note on EA's - don't buy them. Ever. Let me put this into perspective - I create an EA which is literally producing money for me automatically 24/5. If it really is a good EA which is profitable, there is no way in hell I'm selling it. I'm keeping it to myself to make a fortune off of. EA's that are for sale will not work, will blow your account, and the developer who coded it will tell you that's too darn bad but no refunds. Don't ever buy an EA from anybody.

LESSON 8 - BRING ON THE HATERS

You are going to find that this subreddit is frequented by trolls. Some of them will get really nasty. Some of them will threaten you. Some of them will just make you miserable. It's the price you pay for admission to the /Forex club.

If you can't handle it, then I suggest you don't post here. Find a more newbie-friendly site. It sucks, but it's reality.

We often refer to trolls on this subreddit as shitcunts. That's your word of the day. Learn it, love it. Shitcunts.


YOU MADE IT, WELCOME TO FOREX!

If you've made it through all of the above and aren't cringing or getting scared, then welcome aboard the forex train! You will fit in nicely here. Ask your questions and the non-shitcunts of our little corner of reddit will try to help you.

Assuming this post doesn't get nuked and I don't get banned for it, I'll add more lessons to this post over time. Lessons I intend to add in the future:
If there is something else you feel should be included please drop a comment and I'll add it to the above list of pending topics.

Cheers,

Bob



submitted by wafflestation to Forex [link] [comments]

Simplicity or Complexity: Which road to take?

I am fairly new to all of this, I do not do automated trading itself, but use backtesting to study the markets. I am working with 1m Forex data. Running my backtests over about 3000 "single week long segments" ranging across 24 currencies and 174 weeks. Got my data from FXCM and resampled it. So far I have tested trend following, RSI, Bollinger Bands, various combinations of these three, while accounting for stop losses, margin calls and average 2pip spread on each trade. But the best result I have gotten is a 0.01% yield, which is just noise. When I produce overall losing strategies in backtests they also do not go lower than -0.03%. So it seems that indicators predict markets randomly and you end up losing as much as you make (to be fair they do yield ~1% returns with 20x leverage, if you assume that you will never get margin called).
So I am thinking of changing my approach, since simple indicator based strategies seem to result in 0.0% returns overall. Therefore, I will be going into testing of complex strategies.
I care about what other people think: Is seeking more complex strategies a rabbit hole that I will never come back from? It seems like there is not limit to the amount of elements you can pile on.
Is sticking to simple strategies using 1-3 indicators in combination and searching for something that will work a safer path?
Should I give up on this forex thing and be realistic?
Any input and opinions will be appreciated, you do not have to share trade secrets, thanks.
submitted by barumal to algotrading [link] [comments]

Best Crypto Trading Bots 2019

Best Crypto Trading Bots 2019
WolfpackBOT - The World's Fastest Crypto Trading Bot

https://preview.redd.it/s5j8hgsgsi131.png?width=799&format=png&auto=webp&s=e0e5597fa32aa74f78fcfbb5cc08d143f8b8ca3b
There are basically two different ways you can make mazuma from digital currencies. You can purchase a couple of coins currently, hold them for an extensive period and offer them after the esteem has risen significantly or you can get started with exchanging digital forms of money, here once more, you can exchange physically or run with the best crypto exchanging bots. While holding cryptographic money for a more drawn out term has turned out to be fulfilling, it takes a bounty of time and tolerance for you to optically observe the estimation of your speculation increase.If you are somebody, who does not have the persistence to hang tight for so long, at that point digital currency trading provides you with the immaculate chance to make some mazuma. Numerous prosperous digital currency dealers do recommend you purchase low and sell high. In any case, this is easier verbalized than done.
Digital currencies have been cosmically unpredictable since the earliest reference point. They are the main tradable resources whose esteem shifts in twofold digit rates every day. The cost does not generally go up either. Along these lines, timing the market is the way to turning into a prosperous cryptographic money merchant.
Exchanging digital money isn't any advanced science. All you require is a record on a digital money trade and some cryptographic money in your wallet. This would have been the situation, had you started exchanging these computerized resources route in 2010.
Presently, on the off chance that you try to put in any limitation request on any famous cryptographic money trade, you will outwardly see another application set appropriate above you're, putting forth a superior arrangement. Hence, you are constrained to put orders at market esteem.
The way that a superior offer quickly negated your offer does not assign that somebody is continually crushing before the PC. You just set off crypto exchanging bot when you submitted your request. The best bitcoin exchanging bots have surmounted the whole cryptographic money exchanging biological system, and this is primarily because of the way that they are more effective than people, particularly when it comes down to exchanging.
Presently that you ken that bots have surmounted the crypto exchanging market, you more likely than not understood as of now that the chances of making mazuma when piled facing a great many bots are cosmically svelte.
You could ace all the distinctive specialized investigation strategies and exceed the bots. In any case, in addition to the fact that this is tedious withal very tedious. So instead of investing more energy finding out about the specialized investigation, you can set up the crypto exchanging bots all alone. By the end of this article, not exclusively will you ken probably the most profitably rewarding cryptographic money exchanging bots out there, yet moreover will be enabled with the intelligence of winnowing your very own exchanging bot later on.
Variables to Look for When Culling the Best Crypto Trading Bots
  1. Dependability
A standout amongst the most vital viewpoints to consider is the dependability of an exchanging bot. You would not operate to lose on a brilliant open door because your crypto bot went disconnected or stopped working for quite a while.
You may contend that there is no real way to make sure about the dependability of a specific exchanging bot. Notwithstanding, you aren't the just a single using a bot. Scan for what alternate clients who have used a particular bot need to verbally express about its consistent quality or basically allude to our rundown of the best bitcoin exchanging bots underneath.
  1. Security
With regards to cryptographic forms of money, you can't inculpate anybody yet yourself if there should be an occurrence of a hack. When you initiate using an exchanging bot, you are giving the bot access to your mazuma. This can be very jeopardous, particularly if the exchanging bot is beginning in the field.
There is no telling how secure a specific bot is. In this way, while separating an exchanging bot, complete quintessential research and winnow a bot that has been broadly extolled for its security.
  1. Productivity
Everything comes down to this fundamental part. Is the bot profitably worthwhile or not? An inquiry for which it is elusive an answer. The primary reason you chose to run with an exchanging bot is to benefit over its exchanging ability. There is no influential pertinence in using a bot that isn't profitably rewarding. In this way, discover the productivity of a bot up to you put both your time and mazuma into it.
  1. Straightforwardness
The fundamental motivation behind why digital currency rose to acclaim is that the entire system is plenarily straightforward. There is the wrong spot for any injustice. The equivalent ought average even from the exchanging bot that you choose to run with.
Attempt to winnow a bot whose engineers are unmistakable for their work in the network. Straightforwardness benefits to fabricate trust as well as also profits you to connect with the ideal individuals to adjust any issue.
  1. Simplicity of profit
The entire cogency of running with a robotized bitcoin exchanging is to make the whole procedure of transferring cryptographic forms of money simple for everybody. A bot which accompanies a simple to use interface is the one that is exceptionally well known. Having the capacity to control the bots with only a couple of snaps of the mouse is something you should pay individual mind to, in the bot that you choose to use.
Considering every one of the variables we have arranged a rundown of the best ten digital currency exchanging bots in 2019, the review will be unendingly refreshed with the goal that data remains apropos.
Top 10 Best Crypto Trading Bots in 2019
  1. Cryptohopper
This may be a new bot in the crypto exchanging market. In any case, this newcomer has figured out how to blow some people's minds because of the comprehensive exhibit of highlights that this bot gives. One of the defeats of most exchanging bots is that they kept running on your neighborhood machine. This betokens they run just when you have turned on your PC.
With the lift in enthusiasm for cloud-predicated advancements, Cryptohopper uses cloud innovation to keep the bot running day in and day out. By running the bot on a cloud, clients will most likely put in exchange requests notwithstanding amid the night. In this manner, no open door is missed.
Another critical reason that prompted the lift in the notoriety of Cryptohopper is its simplicity of usage, particularly for the tyro. The bot has incorporated with an outside exchanging signaller. This assigns anybody can initiate using this bot by running it on autopilot. This is a help to the nascent dealers, who need not stress over setting exchanging signals for their bot. The bot withal gives progressively experienced clients a chance to mess around and set their own exchanging signals. Along these lines, it is satisfying the desiderata of both. Aside from this, the bot is incidentally outfitted with highlights, for example, trailing stops, specialized examination, formats, and backtesting. Formats benefit you to design a nascent setting for your bot quickly, and specialized investigation sanctions you to redo and arrange your own settings.
Like every extraordinary thing, the crypto container comes with a sticker price fastened to it. The cost starts from $19 every month for the fundamental arrangement and goes up to $99 per month if you operate their most extravagant arrangement. When you buy into any of the organizations, you can start using the bot on prominent trades like Binance, Huboi, Kucoin, Bittrex, Coinbase, Poloniex, Kraken, Cryptopia, and Bitfinex. On the off chance that you are slanted to spend the additional buck on an exchanging bot, at that point Cryptohopper is an extraordinary separate.
  1. 3Commas
Even though 3Commas bot is nascent to the exchanging bot scene, it could give its clients huge increases, notwithstanding amid the crypto bear showcase.
The new element that dissevers this bot from other bots is its workforce to trail any crypto advertise. This authorizes the bot to close the exchange at the most profitably excellent position, yet the objective addition set by the utilizer had just been come to. This element benefits enormously amid the crypto bull run. Additionally, the bot adventitiously endorses clients to exchange numerous cryptographic forms of money simultaneously. In this manner, it is not passing up any great exchanging opportunity that goes along the way. The bot is set up on the cloud and is available through the site. This betokens the bot runs 24X7. The bot can be designed with Binance and Bittrex at this moment and increasingly legitimate trades, for example, BitFinex, Poloniex, KuCoin, and so forth will be coordinated anon.
The 3Commas comes with a sticker price appended to it. The starter plan will cost you $24, and the most luxurious genius pack would set you back by $82. On the off chance that you operate to give crypto bot exchanging a go, at that point, you could use the 3Commas starter plan and later peregrinate to the more rich schemes.
  1. Gunbot
This is another mainstream exchanging bot with more than 6000 dynamic merchants using its lodging on a quotidian substructure. Good with a few exchanging stages including Binance and GDAX, it very well may be kept running on your nearby PC. This can keep running on Windows, Linus, and the Mac stages, so running on your neighborhood machine would not be a bind.
The bot has 32 diverse pre-arranged exchanging systems which give clients a wide cluster of choices to induce some automated revenue. Among these techniques, the three most well-known ones are the Bollinger band, step addition, and ping pong. Numerous clients have detailed having made a bounty of benefits with the BB procedures. Gunbot isn't in freedom to use and accompanies a one-time level rate running from 0.1BTC to 0.3BTC, contingent upon the highlights that you would savor to optically observe in the bot. Aside from this, the bot supplementally comes as a Lite rendition that has encircled highlights yet can be habituated to test around with the lesser measure of mazuma.
The post-buy support given by the organization is truly surprising. Clients get their issues settled in less than multi-day. The main pickle with regards to this bot is that you ought to in every case reliably outwardly look at the present market state. If the instability of the crypto advertise is high, at that point you ought to most likely turn the bot off to shun any misfortune
  1. Gekko
This is the most diverse digital money exchanging bot in subsistence at present. For any individual who needs to gain proficiency with some things about exchanging bots and not spend any mazuma getting one, at that point Gekko is the bot for you. The Gekko trading bot is an open source bitcoin exchanging bot venture that is accessible for anybody to use for nothing. The way that it is in freedom to use is the fundamental purpose behind its wide prevalence. Like some other open-source ventures, Gekko is free of for all intents and purposes all bugs and even the ones the pop are fixed up at lightning speeds. The Gekko bot can collaborate with a few trades, including Bitfinex, Polonix, and BitStamp. The bot uses a web interface to associate with the clients and can keep running on a neighborhood machine with Windows, Linux, or the Mac OS.
The bot comes pre-designed with some exchanging system. You can initiate using the bot on autopilot as anon as you introduce and design it with a trade. In any case, if you would savor to use your very own exchanging system, the bot withal endorses you to design it to your savoring. While the present design is respectable for trying different things with the bot, there are a few other exchanging techniques accessible online that would benefit you make an all the more profitably worthwhile wager. The bot will withal send you a notice at whatever point it executes a specific exchange. This is finished by incorporating it with the Telegram envoy. Consequently, you will dependably ken how well your bot is performing.
The main drawback to the Gekko exchanging bot is that it isn't very utilizer-heartfelt. There are a few aides in the digital world that direct you through the underlying setup process. Be that as it may, this procedure isn't extremely direct and you would presumably hit a barricade at any rate once amid the underlying setup.
  1. Zenbot
Another allowed to use digital currency exchanging bot, Zenbot can be considered as a further developed form of the Gekko exchanging bot. Nonetheless, as Gekko has been around for a more extended time, it is all the more generally used. Much the same as Gekko, Zenbot programming can be downloaded from Github and introduced on your neighborhood PC. The product is perfect with Windows, Mac just as the Linux working frameworks. The bot comes pre-arranged with an entirely nice exchanging system. In any case, its real potential can be opened only when you initiate executing your exchanging order. The primary bind with the allowed to use bots is that they are frequently not very utilizer-genial. In any case, this isn't the situation with Zenbot. The entire setup process is extremely effortless, and you can have the bot fully operational in all respects speedily. The bot chips away at all prevalent trades, for example, Bitfinex, Poloniex, Bittrex, and so on.
As it is an open source venture, it is without now of a few bugs, and regardless of whether one springs up, it will be adjusted all around speedily. The Zenbot can effortlessly actualize with a few informing stages, for example, slack, Telegram, and so on to give you the updates of any exchange that was executed.
Adventitiously, the Zenbot withal braces high-recurrence exchanging. This is a component that outlined the personnel of the Gekko bot. The Zenbot is being refreshed, and more highlights are being incorporated traditionally. Hence, making it a bot for you to reliably outwardly analyze.
  1. WolfpackBOT: WolfpackBOT is a cryptographic money exchanging programming application that has been created with the most developed highlights of any robotized exchanging programming of its sort. The WolfpackBOT has been intended to execute exchanging directions with the usage of restrictive numerical calculations, and specialized investigation bespeakers predicated on the client's predefined assignments.
The cryptographic money advertise as of now bearish, and many exchanging bots easily miss the scarcest vacillations. WolfpackBOT has been built to execute trading directions at a lightning speed and is fit for making up to a large number of exchanges every day, relying upon the states of the market.
WolfpackBOT is among the few cryptographic money exchanging bots that give crypto aficionados full self-governance, security, and control of their exchanging bot and its related API keys. A large portion of the crypto trading bots out there are cloud-predicated stages that are constrained by outsider frameworks. While these stages guarantee dealers of outright wellbeing and security, insightful brokers ken that in the crypto space, outsider frameworks like trades and other cloud-predicated steps are hacked proximately consistently. Since WolfpackBOT programming and your related API keys are put away individually PC or devoted VPS, WolfpackBOT can sidestep a significant number of the security issues related to cloud-predicated frameworks.
WolfpackBOT has been created for the whole crypto network, from experienced merchants to novices, with three in all respects reasonably valued membership levels. WolfpackBOT accompanies a few membership bundles that authorize clients to exchange with a wide scope of chances predicated on their favored membership.
  1. CryptoTrader
cryptotrader_reviewAlmost all digital money merchants would have aurally seen about the crypto dealer exchanging bot. The across the board fame of this bot is because it was one of the absolute first bots to be kept running on the cloud and accessible to the clients day in and day out.
The crypto broker bot is plenarily web-predicated and in this manner, open from anyplace you can associate with the digital world. The bot can be easily designed with a few well-known trades, for example, Poloniex, Bittrex, Kraken, and so on. This bot does not come for nothing out of pocket. You can operate from the few organizations accessible. The valuing initiates with 0.003BTC every month for the most simple arrangement and this goes up to 0.0472 BTC every month for their excellent arrangement.
While all plans do offer clients support for programmed exchanging, the early highlights and as far as possible for the more indulgent plans is higher than that given the basic arrangement. Any early component that is caused is most readily accessible on the higher bundle designs and are later accessible on the basic plans. On the off chance that you would simply savor to exchange on a solitary trade and with exceptionally delineated mazuma, at that point the basic arrangement will get the job done. Be that as it may, on the off chance that you are outwardly looking at the higher volume of exchanges, at that point run with the higher bundle.
This bot additionally sustains algorithmic exchanging. In this manner, I am making it effortless for clients to execute their very own arrangements. The bot can be effortlessly modified. In this manner, I am making it a broadly utilized cryptographic money exchanging bot.
  1. Bitcoin Robot
btcrobotWe simply needed to incorporate the pioneer of digital currency exchanging bots on our rundown of the best crypto exchanging bots. The Bitcoin robot started as a Bitcoin exchanging bot. In any case, it can now withal be designed to exchange different digital currencies, for example, Ethereum and Litecoin. The bot is accessible as a product and should be downloaded and keep running on your neighborhood machine. This betokens the exchanges will be executed just as long as you keep your PC turned on. The bot can effortlessly work with a few digital money trades and is by and large broadly utilized even today. The bot isn't accessible free of expense and costs you a premium. The cost of the bot ranges from $19.99 every month for the principal plan. In any case, clients usually buy the platinum plan that costs just $399 one time charge and offers utilizer unlimited access to every one of the highlights.
The benefits made by individuals using this bot verbalizes for itself. Supplementally, they do offer a 60-days mazuma back assurance. Along these lines, you should look at them once.
  1. USI Tech
This can't be considered as a bot. In any case, the USI tech BTC settlement promises mechanized benefits for your BTC speculations. The USI Tech was at first intended for Forex exchanging. In any case, after the raise of the ubiquity of Bitcoin, they additionally offer BTC bundles. Not at all like some other BTC exchanging bot where you require to give the API key of your trade account to execute exchanges, on USI Tech, you will require to winnow from among the few BTC master exchanges. At that point, you will begin accepting your segment of benefits at whatever point exchange is made.
The USI Tech stage basically ensures extraordinary comes back to your speculations. The entire procedure of purchasing your absolute first BTC bundle is withal simple and pellucidly elucidated on their site. You can explore different avenues regarding the benefits that you gain. In any case, the number of bundles you purchase, the more dominant will be your benefit
  1. Margin.De (Leonardo Bot)
Edge LeonardobotThis is a cryptographic money exchanging bot with the most utilizer-genial interface. The GUI of the bot is easy to use, and the highlights gave are extremely puissant. The bot was structured with two exchanging techniques ping pong and Margin exchanging actualized into it. In any case, you can withal modify it with your very own custom settings. This bot lays incredible complement on the visual parts of exchanging. The specialized examination done by the bot is immensely simple to break down. What more? The bot has an astonishing component called visual exchanging. This interface feels rich smooth to use and offers clients the most extreme authority over the exchanges.
The bot was at first evaluated at 0.5 BTC consistently. Notwithstanding, presently, it is accessible at a one-time cost extending from $89 to $1999 with the most elevated arrangement offering a bigger number of highlights than th
submitted by restpage123 to digitalseo [link] [comments]

WolfpackBOT - The world's fastest and most secure trading bot

WolfpackBOT - The world's fastest and most secure trading bot

https://preview.redd.it/b2ffej55zfd21.png?width=768&format=png&auto=webp&s=196c912c5d4250be54d647648613545f74faec7d

INTRODUCTION

According to wikipedia, Blockchain is originally known as bloc chain, It is a growing list of records known as blocks which is linked using cryptography, each of these blocks contain a cryptographic hash of the initial block, a transaction data and a time stamp.
Since its emergence in the year 2008, when Nakamoto satoshi discovered and introduced bitcoin, there has been serious efforts to integrate the blockchain technology into several aspects of various process of global business , The blockchain technology has been described as having the potential to disrupt many industries with immutability, low-cost transaction, and enhanced maximum security. So many other blockchain implementations have been deployed and developed with unique features designed to specific use-cases.
The blockchain technology has made possible to issue assets through a distributed ledger framework. With cryptocurrency tokens, Assets can be given economic value in order to validate and initiate transactional processes.

ADVANTAGES OF BLOCKCHAIN:

  1. Decentralised payment processing,
  2. Creating an immutable system of recording,
  3. Reducing Cost of Transaction and
  4. Enhanced Security.
  5. Now that we have reminded ourselves of what blockchain technology is, let’s look into the subject matter.

ABOUT WolfpackBOT

WolfpackBOT is a highly advanced cryptocurrency trading software that allows for the execution of trades at lightning speed using proprietary trading algorithms, proprietary “Werewolf” Trading Analysis configurations, or user customized settings based on personal trading style. WolfpackBOT also allows for simultaneous trading access to all compatible cryptocurrency exchanges that are available to the bot, and all trading pairs with the WerewolfBOT subscription package.
WolfpackBOT is introducing an industry first, a beautiful automated cryptocurrency trading console: The WolfBOX. This efficient and sleek piece of hardware will conveniently allow for the full utilization of a bot subscription without the need for a VPS or dedicated computer. The WolfBOX will also include a built-in secure Hardware Wallet and RFID card reader to optimize ease-of-use and functionality.
WolfpackBOT trading software is enabled with limit, market, and “Wolf Trade” orders on all trading candles, including one-minute candles, with the widest array of technical trading indicators available on the market. WolfpackBOT's proprietary “Wolf Trade” orders provide superior market sell orders with a bite! WolfpackBOT is the only trading bot to feature live price scanning on your positions and also handles partial fills with ease, meaning you don’t miss out on orders. WolfpackBOT is incredibly fast and can fulfill up to 10,000 trades per day depending on market conditions and subscription package.
WolfpackBOT allows simultaneous trading access to all cryptocurrency exchanges that are available to the bot, and all trading pairs through the WerewolfBOT subscription plan. Not only do inferior bots allow limited access to one exchange and one trading pair per bot, they also store your API keys remotely on servers which are potentially susceptible to hacks and pump and dump attacks. User security and API key protection holds a high priority within the WolfpackBOT framework which is why it is the only trading bot that gives users full control with local management of their API keys.
Masternode and Proof of Work X11 Blockchain
Wolfcoin Blockchain with X11 Proof of Work Mining and Masternode Reward Systems The Wolfcoin blockchain and network are both designed and engineered to ensure store of value, transactional speed and security, and fungibility. The main goal of the Wolfcoin blockchain is to facilitate fast and secure transactions with a governance that helps sustain the network for the benefit of all users. The Wolfcoin blockchain is a two-tier network comprised of a Proof of Work (PoW) consensus mechanism powered by miners and a Proof of Service (PoSe) system powered by masternodes.
The Wolfcoin blockchain is secured through Proof of Work (PoW) in which miners attempt to solve difficult problems with specialized computers. When a problem is solved, the miner receives the right to add a new block to the blockchain. If the problem was solved correctly, the miner is rewarded once the block is added.
The second tier, which is powered by masternodes, enables Wolfcoin to facilitate private and instant transactions with Private Send and Instant Send. Masternodes are also rewarded when miners discover new blocks.
The block reward is distributed with 80% going to the masternodes and 20% going to miners. The masternode system is referred to as Proof of Service (PoSe), since the masternodes provide crucial services that support the features of the network.
Masternodes also oversee the network and have the power to reject improperly formed blocks from miners. If a miner tried to take the entire block reward for themselves, the masternode network would orphan the block ensuring that it would not be added to the blockchain.
In short, miners power the first tier, which is the basic sending and receiving of funds and prevention of double spending. Masternodes power the second tier, which provide the added features that make Wolfcoin different from other cryptocurrencies. Masternodes do not mine, and mining computers cannot serve as masternodes.
Additionally, each masternode is “secured” by 10,000 WOLF. Those WOLF remain under the sole control of their owner at all times. The funds are not locked in any way; however, if enough of the funds are moved or spent to cause the user’s holdings to drop below 10,000 Wolfcoin, the associated masternode will go offline and stop receiving rewards.
By pre-ordering your WolfpackBOT subscription, you will also receive Wolfcoin as a reward that can be utilized in the following ways:
  • Redeemable for WolfpackBOT subscriptions
  • Redeemable for the WolfBOX Console
  • Redeemable for WolfpackBOT and Wolfcoin apparel and merchandise
  • Fungible utility that can be exchanged for like value on exchanges
When you hold at least 10,000 Wolfcoin in your Wolfcoin wallet connected to a static IP address, you will become a masternode, meaning you will have a chance to receive 80 percent of the block reward every sixty seconds.

THE FEATURES

WolfpackBOT Automated Trading Software:

After the crowdsale, Wolfcoin will be the exclusive method of payment for WolfpackBOT Automated Trading Software subscriptions.

Multiple Technical Analysis Indicators:

WolfpackBOT offers the widest array of multiple Technical Analysis indicators, oscillators, configurations and settings available in the world of Automated Cryptocurrency Trading Bots. WolfpackBOT provides Bollinger Bands, Double EMA, Elliot Wave, EMA, EMA Cross, Fibonacci Sequence, KAMA, MA Cross, MACD, RSI, SMA, Stochastic, Stochastic RSI, Triple EMA, and many more!

Shorting Features:

WolfpackBOT includes Cryptocurrency Shorting Features that allow users to short their positions and buy them back at the lower price to maximize their returns.

Copyrighted Crash Protection:

Crash Protection, one of WolfpackBOT's most advanced features, enables users the option to automatically scan and convert all positions to a stable coin at the sign of our proprietary Hidden Bear Divergence Indicator, and then buy back into base currency to resume trading at the sign of our proprietary Hidden Bull Divergence Indicator.

Language Translator:

WolfpackBOT has a built in Language Translator that instantly translates the entire BOT into Dutch, English, French, German, or Spanish.

All Trading Pairs on all available Exchanges:

WolfpackBOT allows our customers to simultaneously trade on multiple cryptocurrency exchanges, and with all the exchange’s trading pairs available for trading. The best part is that it’s all possible on one bot with one subscription to the WerewolfBOT package!

Coin Selector:

While other automated trading platforms only allow for a limited amount of coins per subscription, WolfpackBOT allows all trading pairs and all coins to be traded on all the available major exchanges with the WerewolfBOT subscription. WolfpackBOT's proprietary Coin Selector allows for users to choose whether to trade all cryptocurrencies or blacklist some, thus not trading them at all, as well as search for the highest volume, greatest performing, or a specific volatility range of coins for a given timeframe.

Werewolf Configurations and Settings:

Werewolf Configurations and Settings are copyrighted trading algorithms that use proprietary optimum settings for trading: the perfect configuration for experienced and inexperienced traders alike. These settings can be adjusted to the current market trend, with preset configurations for bear, sideways, and bull markets.

Werewolf Ultimate:

Werewolf Ultimate is the ultimate choice when trading. It doesn't trade a particular trading pair or particular coins, it trades them all. It goes in for the kill to increase the potential returns. Crash Protection is a built-in feature in Werewolf Ultimate.

Werewolf Bull Market:

Werewolf Bull Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bull Run. Werewolf Bull Market settings are optimized for such conditions and should only be used in a Bull Run Market.

Werewolf Sideways Market:

Werewolf Sideways Market are preset settings and configurations that are usable when your Base Trading Pair is trading sideways. Werewolf Sideways Market settings are optimized for such conditions and should only be used in a Sideways Trading Market.

Werewolf Bear Market:

Werewolf Bear Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bear Run. Werewolf Bear Market settings are optimized for such conditions and should only be used in a Bear Run Market.

The WolfBOX Hardware Console:

WolfpackBOT also offers an industry first: a beautiful hardware console, The WolfBOX. Our console comes preloaded with WolfpackBOT Automated Trading Software and also includes a built-in secure hardware wallet. Some of the key features of the WolfBOX include our high-speed CPU, solid-state hard drive, built-in RFID card reader, and integrated Bitpay and Coinbase wallets.

Wolfpack Consulting

Our company offers its services and expertise as Cryptocurrency and Blockchain Specialists to individuals and companies. We offer consulting services in the fields of blockchain and cryptocurrency development and management.

Wolfpack Philanthropy

We are dedicated to the proposition that we have a responsibility to use a portion of our company’s revenue to help create a better world and a brighter future. As we move forward, our philanthropic efforts include environmental stewardship, renewable energy, human rights, economic development, as well as animal and wildlife rescue and conservation with an emphasis on dogs and wolves.

Wolfcoin Information

THE WOLFCOIN Wolfcoin is the coin that fuels all WolfpackBOT's projects.
This utility, coupled with the reward systems with mining and Masternoding capabilities, makes the use of Wolfcoin potentially appealing to all WolfpackBOT users whom are interested in receiving additional Wolfcoin for subscriptions, merchandise and other rewards such as passive cryptocurrency portfolio growth.
THE WOLFCOIN WALLET WolfpackBOT uses our proprietary Wolfcoin Core QT wallet.
February 2018 Conceptual development of WolfpackBOT Software
May 2018 Company Roadmap development Alpha models of WolfpackBOT Software
June 2018 Ongoing research, development, and testing
October 2018 Advertising and Marketing Campaign Starts Wallets available for payment; BTC, BTG, DASH, DOGE, ETC, ETH, LTC October 15 - Pre-registration begins
November 2018 November 1 - Crowdsale Stage I begins
December 2018 Official presentation of WolfpackBOT beta Software Preview Creation of Wolfcoin (WOLF: 300,000,000 coins pre-mined on Genesis Block) WolfpackBOT beta Software release to selected customers
December 21 - Launch network and mine Genesis block
December 22 - PoW / Mainnet
December 23 - Blockchain and network testing
December 28 - Iquidis Wolfcoin Block Explorer released on our website
January 2019 January 1 - Wolfcoin Core wallets available for download on the website January 1 - Wallet and Masternode Tutorial available January 1 - Masternode and PoW instructional videos available January 1 - Subscription Pre-order Coin Rewards disbursed Announcement listing WOLF on top-10 Exchange
February 2019 February 1 - Crowdsale Stage I Ends February 1 - Crowdsale Stage II Begins
March 2019 March 15 - Crowdsale Stage II Ends March 15 - Crowdsale Stage III Begins WolfpackBOT Software roll-out to contributors WolfBOX Console available for Pre-order
April 2019 WolfpackBOT Subscriptions available for customers First Major version released: automated, manual, and paper trading WolfpackBOT Live support center April 30 - Crowdsale Stage III Ends
May 2019 WolfBOX Consoles Pre-orders first shipment
June 2019 New trading features such as new exchanges, strategy options and indicators
July 2019 New trading features such as new exchanges, strategy options or indicators
August 2019 WolfpackBOT Software Trading Platform V2.0 Second major release: Strategy Marketplace and Back-testing
September 2019 New trading features such as new exchanges, strategy options or indicators
October 2019 WolfpackBOT Software Trading Platform V3.0 Third major release: Signals Marketplace (Supporting 3rd Party App Signals) Mobile Application for WolfpackBOT Software and Trading Platform
November 2019 New trading features such as new exchanges, strategy options or indicator
December 2019 WolfpackBOT Software Trading Platform V4.0
January 2020 WolfpackBOT Software Trading Platform V5.0 Fourth major release: Machine Learning Strategy Optimization

THE AMAZING TEAM

Philip Longhurst Chief Executive Officer The leader of our pack and the man behind the WolfpackBOT trading bot, Philip Longhurst is a mathematical genius, engineer, day trader, and animal rescuer. As an account manager for J.P. Morgan and MBNA Bank, Phil managed the accounts of several high-profile clients and businesses. He has been successfully trading stocks for over twenty-five years and has successfully applied his trading expertise and mathematical acumen to the cryptocurrency market since 2013.
Philip holds bachelor's degrees in mechanical engineering and business administration and is a loving husband, father, and family man who has been rescuing dogs since 1995. His driving desire is to use the success of Wolfpack Group to create a brighter future for humanity. He currently resides in the United States of America with his wife, daughter, and dogs.
Rogier Pointl Chief Financial Officer Rogier Pointl is a successful entrepreneur with nearly twenty-five years of experience in business management, marketing, financial administration, economics, and fintech. Rogier holds bachelor's degrees in Business Communications and Financial Administration. He is a pioneer in the field of virtual reality, having served as CEO and owner of Simworld, the first virtual reality racing center in Europe, where he oversaw the development of advanced simulator and virtual reality hardware and software.
Rogier is an experienced trader and has been trading stocks since 2007. He began applying his expertise to the cryptocurrency market in 2010, gaining experience as a Bitcoin miner along the way. Rogier is a loving husband and father and currently resides in the Netherlands with his wife and two daughters.
Jason Cormier Chief Technical Officer Jason Cormier is a humble -but extraordinary- individual who is blessed with a Mensa IQ of 151, he is continually driven by a desire for knowledge and self-growth. He is self-taught in Visual Basics, C#, C++, HTML, and CSS and began developing programs and applications at the age of 14, including the TCB Wallet, which was the first ever wallet program that held its users' log in names and passwords. Jason is a cryptocurrency guru whose expertise includes cryptocurrency mining farms, proof-of-stake, masternodes, and cryptocurrency trading.
Jason holds Associate degrees in Computer Science and Psychology, and currently resides in the United States of America with his wife and son.
Jay McKinney Chief Web Development and Design Officer Jay is a veteran of the Iraq War who put his life on the line in combat to protect our freedoms. To center himself while stationed in the Iraqi warzone, he taught himself C# as he knew honing his Web Development skills would help him provide a better future for himself and his family. Upon returning home safely, he worked his way through college and holds bachelor's degrees in Computer Programming and Web Development & Design.
Jay has worked for the Kentucky Housing Corporation, serving as a software engineer and web developer. He is a loving family man who currently resides in the United States of America with his wife and two children.
David Johnson Chief Software Development Officer David holds a Master of Science degree in Information Systems and a Bachelor's degree in Business Administration with a specialization in Information Systems, graduating with Magna Cum Laude status. He has worked for the Kentucky Housing Corporation, serving as a network analyst and software engineer. As an entrepreneur, he has owned his own web and software development company since 2009, creating and maintaining several websites in C# and PHP, and has been operating the crypto-oriented YouTube channel BigBits since 2017, where he discusses automated Cryptocurrency trading strategies.
David is a proud father of two and resides in the United States of America with his wife and children. Like any good Kentuckian, he is a huge fan of the University of Kentucky's college sports teams.
Gabriel Condrea Software and Web Development Officer Gabriel Condrea holds a bachelor's degree in electrical and computer engineering and has worked as a software developer and senior systems engineer in both the United States and the United Kingdom, working with a variety of programming languages and IDEs. He has used his expertise to create Manufacturing and SCADA systems in industrial applications.
Gabriel also applies his engineering skills to cryptocurrency day trading, seeking to automate the process. He loves to travel and currently resides in the United States with his girlfriend.
Igor Otorepec Chief Hardware Development Officer Igor is an engineer with twenty years of experience specializing in advanced PLC programming and industrial robotics. He is also an IT security expert and a CEC Certified Ethical Cracker who uses his skills to expose and patch security vulnerabilities in blockchain codes.
Igor is an advanced cryptocurrency trader and Kung Fu master who uses bio-hacking as a way of life to keep his 'chi' constantly centered. He currently resides in Austria with his loving wife.
Manik Ehhsan Director of Marketing and Public Relations Manik holds a Bachelor's degree in Computer Science and has over five years of experience in Web Development, Digital Marketing and Graphics Design. He has also managed the marketing for more than 30 successful Cryptocurrency start-ups and projects, and specializes in SEO and ASO. Manik is also a Cryptocurrency project promotion expert with an emphasis on Masternodes and building Social Media Communities.
Manik has focused his life on Cryptocurrency and currently resides in Bangladesh with his loving family.
Rance Garrison Chief Marketing Officer Rance Garrison holds a bachelor's degree in Business Administration and specialized in Seminary Studies for his Master's degree. He served as an AmeriCorps VISTA at WMMT-FM, the radio station owned by Appalshop, an arts and education center in Kentucky, and has also specialized in local cable television advertising. Rance is also a musician who has released several albums independently over the last decade.
Rance is very dedicated to his local community and is most excited by the potential implications of cryptocurrencies and blockchain technology for rural and remote economies. He currently resides in the United States of America with his wife, dog, and cats.
Paul Gabens Chief Public Relations Officer A master negotiator with a penchant for strategy, Paul Gabens brings more than twenty years of marketing and promotional experience in the automotive, hospitality, and entertainment industries to the Wolfpack. He is also an avid stock and cryptocurrency trader, having first entered into the cryptocurrency market two years ago, embracing his passion for crypto with the same vigor as his love for travel, classic cars, extreme roller coasters, and surfing.
Paul holds degrees in business management, marketing, and automotive aftermarket. He currently resides in the United States with his fiancé and two cats.
Blake Stanley Marketing and Social Media Officer Blake Stanley is a cryptocurrency enthusiast who also has over six years of experience managing both government and private sector client and customer relations. A strategic thinker and expert in the field of social media-based advertising, Blake also owns and manages his own online marketing company where he has been successfully curating and implementing online marketing and advertising strategies for his clients for the past three years.
Blake is a proud father and family man and currently lives in the United States with his daughter and fiancé.
Martin Kilgore Market and Trading Analyst Martin Kilgore holds bachelor’s degrees in both accounting and mathematics, having researched Knot Theory and the Jones Polynomial during his undergraduate studies, giving him a firm edge when analyzing market conditions. He has worked as a staff accountant for several governmental organizations.
Martin lives in the United States with his fiancé.
Jonathan McDonald Chief Trading Strategy Officer Jonathan has honed his trading skills over the past five years by studying and implementing economics, financial strategy, Forex trading analysis and trading bots. Through his constant learning, he discovered Cryptocurrency after seeing the difference in market volatility and high yield trading. His fine-tuned trading strategies complement Crypto markets perfectly, and he has been implementing trading strategies to the Cryptocurrency market for over a year with phenomenal results. Jonathan is constantly improving his trading skills with an emphasis on scalping techniques. He has applied his trading skillset to the WolfpackBOT and enjoys working alongside the Wolfpack in creating the fastest trading bot on the market.
Jonathan currently resides in Canada with his supportive girlfriend and family.
Web site: https://www.wolfpackbot.com/
Technical document: https://www.wolfpackbot.com/Pdf/whitepaper_en.pdf
Bounty0x username: idrixoxo
submitted by idrixoxo2015 to u/idrixoxo2015 [link] [comments]

Journaling 101

I've recently been working on creating and refining a new edge. Journaling is an essential part of that process and it inspired me to make this post since some people might not see the importance of keeping one.

Journaling is one of the most important aspects of your trading.

It can be a chore, but keeping a trading journal is incredibly useful.

Why Journal?

Because if you set one up and use it correctly, that's where you'll find patterns. Patterns in the markets, patterns in your trades, and patterns in your trading behaviour. You can use a journal find new edges. Or to refine your entries, exits, SLs, TPs, holding times, etc. Or to find and address any bad trading behaviours (eg. moving SLs when you shouldn't be, or skipping valid set ups out of fear). You get the idea - it's really handy.

What should you put in your journal?

As much as you can - without discouraging yourself from actually using it consistently. That's going to differ for everyone. Do some googling (or ask people here on reddit) to see what other people have found useful variables to track. There's also lots of templates available online to copy (eg. here or here). Keep in mind that different technical set ups will require different variables to track.
A few that I think are very useful yet often overlooked include - maximum adverse excursion, maximum favourable excursion, tracking the performance (using R multiples) of a few alternative exit methods, and the name of the day of the week at entry.

So what should you do?

Step 1 - Think long and hard about the appropriate variables you think you should track - ones that could influence your trade performance.
Step 2 - Update your journal regularly. I like to do it at the end of every trading day while the trades are still fresh in my mind. Find what works for you.
Step 3 - Periodically go back and analyse your journal. You might find that your win rate drops significantly on Fridays and thus makes your Friday trades have a negative expectancy. You might find that having RSI divergence at your entry signal increases the expectancy of the trade by 13%. You might find that exiting at ATR significantly outperforms both exiting at your Bollinger bands or exiting at a 161.8% fib extension. You get the idea?
Step 4 - Act on the information provided by your journal. Skip those Friday trades. Add RSI divergence to your entry requirements. Exit at ATR. Whatever.

Other notes

submitted by confluencefx to Forex [link] [comments]

WolfpackBOT - The world's fastest and most secure trading bot

WolfpackBOT - The world's fastest and most secure trading bot

https://preview.redd.it/n7wutgsuzfd21.png?width=800&format=png&auto=webp&s=d0dac7147b8e70584305f997732a248d6b088ff9

INTRODUCTION

Cryptocurrency is essentially digital money traded from one person to another through the use of pseudonyms. There are no intermediaries like banks, no governmental oversight or authority, and no fees. The “crypto” in cryptocurrency refers to the use of cryptography to ensure the security and privacy of every transaction.
New coins are created through a technique called mining. The process requires powerful computers that solve complex math problems. Each problem should take about 10 minutes to solve, and results in the creation of a predetermined number of coins. The total number of coins that can be created is fixed — there’s a limit of 21 million bitcoins that can be created. The number of coins rewarded for solving each problem dwindles as time goes on.
Bitcoin is believed to have been created in 2009 by Satoshi Nakamoto, an enigmatic figure who has so far proven all but impossible to definitively identify. By using cryptography to control the creation and tracking of a digital currency, Nakamoto took that power away from central authorities like governments.
Bitcoin was the first and most famous digital currency, but you can choose from more than 1,500, including ether, litecoin and even cryptokitties. For awhile, you saw these currencies only in the darkest corners of the internet, where people used them for all sorts of questionable, even illegal, activities. Drug dealers liked them because they made transactions all but invisible, and trolls at the Kremlin-backed Internet Research Agency used bitcoin to finance their campaign to influence the 2016 election.
That started to change in 2014, when Overstock became the first major US retailer to accept bitcoin. Companies like Expedia and Microsoft followed suit.
One of the biggest misconceptions about cryptocurrencies is that you need thousands of dollars to invest. It’s an easy assumption to make, especially in the case of bitcoin, which stayed under $1,000 from about 2010 to 2017. But then it took off, surpassing thousand-dollar milestones at a pace that seemed quicker than you could refresh your phone.
The staggering value is off-putting to many. But unlike most stocks, you can buy a fraction of a bitcoin so you don’t need thousands to get into the crypto game.

OVERVIEW OF WolfpackBOT

WolfpackBOT is a highly advanced cryptocurrency trading software that allows for the execution of trades at lightning speed using proprietary trading algorithms, proprietary “Werewolf” Trading Analysis configurations, or user customized settings based on personal trading style. WolfpackBOT also allows for simultaneous trading access to all compatible cryptocurrency exchanges that are available to the bot, and all trading pairs with the WerewolfBOT subscription package.
WolfpackBOT is introducing an industry first, a beautiful automated cryptocurrency trading console: The WolfBOX. This efficient and sleek piece of hardware will conveniently allow for the full utilization of a bot subscription without the need for a VPS or dedicated computer. The WolfBOX will also include a built-in secure Hardware Wallet and RFID card reader to optimize ease-of-use and functionality.
WolfpackBOT trading software is enabled with limit, market, and “Wolf Trade” orders on all trading candles, including one-minute candles, with the widest array of technical trading indicators available on the market. WolfpackBOT's proprietary “Wolf Trade” orders provide superior market sell orders with a bite! WolfpackBOT is the only trading bot to feature live price scanning on your positions and also handles partial fills with ease, meaning you don’t miss out on orders. WolfpackBOT is incredibly fast and can fulfill up to 10,000 trades per day depending on market conditions and subscription package.
WolfpackBOT allows simultaneous trading access to all cryptocurrency exchanges that are available to the bot, and all trading pairs through the WerewolfBOT subscription plan. Not only do inferior bots allow limited access to one exchange and one trading pair per bot, they also store your API keys remotely on servers which are potentially susceptible to hacks and pump and dump attacks. User security and API key protection holds a high priority within the WolfpackBOT framework which is why it is the only trading bot that gives users full control with local management of their API keys.
Masternode and Proof of Work X11 Blockchain
Wolfcoin Blockchain with X11 Proof of Work Mining and Masternode Reward Systems The Wolfcoin blockchain and network are both designed and engineered to ensure store of value, transactional speed and security, and fungibility. The main goal of the Wolfcoin blockchain is to facilitate fast and secure transactions with a governance that helps sustain the network for the benefit of all users. The Wolfcoin blockchain is a two-tier network comprised of a Proof of Work (PoW) consensus mechanism powered by miners and a Proof of Service (PoSe) system powered by masternodes.
The Wolfcoin blockchain is secured through Proof of Work (PoW) in which miners attempt to solve difficult problems with specialized computers. When a problem is solved, the miner receives the right to add a new block to the blockchain. If the problem was solved correctly, the miner is rewarded once the block is added.
The second tier, which is powered by masternodes, enables Wolfcoin to facilitate private and instant transactions with Private Send and Instant Send. Masternodes are also rewarded when miners discover new blocks.
The block reward is distributed with 80% going to the masternodes and 20% going to miners. The masternode system is referred to as Proof of Service (PoSe), since the masternodes provide crucial services that support the features of the network.
Masternodes also oversee the network and have the power to reject improperly formed blocks from miners. If a miner tried to take the entire block reward for themselves, the masternode network would orphan the block ensuring that it would not be added to the blockchain.
In short, miners power the first tier, which is the basic sending and receiving of funds and prevention of double spending. Masternodes power the second tier, which provide the added features that make Wolfcoin different from other cryptocurrencies. Masternodes do not mine, and mining computers cannot serve as masternodes.
Additionally, each masternode is “secured” by 10,000 WOLF. Those WOLF remain under the sole control of their owner at all times. The funds are not locked in any way; however, if enough of the funds are moved or spent to cause the user’s holdings to drop below 10,000 Wolfcoin, the associated masternode will go offline and stop receiving rewards.
By pre-ordering your WolfpackBOT subscription, you will also receive Wolfcoin as a reward that can be utilized in the following ways:
  • Redeemable for WolfpackBOT subscriptions
  • Redeemable for the WolfBOX Console
  • Redeemable for WolfpackBOT and Wolfcoin apparel and merchandise
  • Fungible utility that can be exchanged for like value on exchanges
When you hold at least 10,000 Wolfcoin in your Wolfcoin wallet connected to a static IP address, you will become a masternode, meaning you will have a chance to receive 80 percent of the block reward every sixty seconds.

THE FEATURES

WolfpackBOT Automated Trading Software:

After the crowdsale, Wolfcoin will be the exclusive method of payment for WolfpackBOT Automated Trading Software subscriptions.

Multiple Technical Analysis Indicators:

WolfpackBOT offers the widest array of multiple Technical Analysis indicators, oscillators, configurations and settings available in the world of Automated Cryptocurrency Trading Bots. WolfpackBOT provides Bollinger Bands, Double EMA, Elliot Wave, EMA, EMA Cross, Fibonacci Sequence, KAMA, MA Cross, MACD, RSI, SMA, Stochastic, Stochastic RSI, Triple EMA, and many more!

Shorting Features:

WolfpackBOT includes Cryptocurrency Shorting Features that allow users to short their positions and buy them back at the lower price to maximize their returns.

Copyrighted Crash Protection:

Crash Protection, one of WolfpackBOT's most advanced features, enables users the option to automatically scan and convert all positions to a stable coin at the sign of our proprietary Hidden Bear Divergence Indicator, and then buy back into base currency to resume trading at the sign of our proprietary Hidden Bull Divergence Indicator.

Language Translator:

WolfpackBOT has a built in Language Translator that instantly translates the entire BOT into Dutch, English, French, German, or Spanish.

All Trading Pairs on all available Exchanges:

WolfpackBOT allows our customers to simultaneously trade on multiple cryptocurrency exchanges, and with all the exchange’s trading pairs available for trading. The best part is that it’s all possible on one bot with one subscription to the WerewolfBOT package!

Coin Selector:

While other automated trading platforms only allow for a limited amount of coins per subscription, WolfpackBOT allows all trading pairs and all coins to be traded on all the available major exchanges with the WerewolfBOT subscription. WolfpackBOT's proprietary Coin Selector allows for users to choose whether to trade all cryptocurrencies or blacklist some, thus not trading them at all, as well as search for the highest volume, greatest performing, or a specific volatility range of coins for a given timeframe.

Werewolf Configurations and Settings:

Werewolf Configurations and Settings are copyrighted trading algorithms that use proprietary optimum settings for trading: the perfect configuration for experienced and inexperienced traders alike. These settings can be adjusted to the current market trend, with preset configurations for bear, sideways, and bull markets.

Werewolf Ultimate:

Werewolf Ultimate is the ultimate choice when trading. It doesn't trade a particular trading pair or particular coins, it trades them all. It goes in for the kill to increase the potential returns. Crash Protection is a built-in feature in Werewolf Ultimate.

Werewolf Bull Market:

Werewolf Bull Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bull Run. Werewolf Bull Market settings are optimized for such conditions and should only be used in a Bull Run Market.

Werewolf Sideways Market:

Werewolf Sideways Market are preset settings and configurations that are usable when your Base Trading Pair is trading sideways. Werewolf Sideways Market settings are optimized for such conditions and should only be used in a Sideways Trading Market.

Werewolf Bear Market:

Werewolf Bear Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bear Run. Werewolf Bear Market settings are optimized for such conditions and should only be used in a Bear Run Market.

The WolfBOX Hardware Console:

WolfpackBOT also offers an industry first: a beautiful hardware console, The WolfBOX. Our console comes preloaded with WolfpackBOT Automated Trading Software and also includes a built-in secure hardware wallet. Some of the key features of the WolfBOX include our high-speed CPU, solid-state hard drive, built-in RFID card reader, and integrated Bitpay and Coinbase wallets.

Wolfpack Consulting

Our company offers its services and expertise as Cryptocurrency and Blockchain Specialists to individuals and companies. We offer consulting services in the fields of blockchain and cryptocurrency development and management.

Wolfpack Philanthropy

We are dedicated to the proposition that we have a responsibility to use a portion of our company’s revenue to help create a better world and a brighter future. As we move forward, our philanthropic efforts include environmental stewardship, renewable energy, human rights, economic development, as well as animal and wildlife rescue and conservation with an emphasis on dogs and wolves.

Wolfcoin Information

THE WOLFCOIN Wolfcoin is the coin that fuels all WolfpackBOT's projects.
This utility, coupled with the reward systems with mining and Masternoding capabilities, makes the use of Wolfcoin potentially appealing to all WolfpackBOT users whom are interested in receiving additional Wolfcoin for subscriptions, merchandise and other rewards such as passive cryptocurrency portfolio growth.
THE WOLFCOIN WALLET WolfpackBOT uses our proprietary Wolfcoin Core QT wallet.
February 2018 Conceptual development of WolfpackBOT Software
May 2018 Company Roadmap development Alpha models of WolfpackBOT Software
June 2018 Ongoing research, development, and testing
October 2018 Advertising and Marketing Campaign Starts Wallets available for payment; BTC, BTG, DASH, DOGE, ETC, ETH, LTC October 15 - Pre-registration begins
November 2018 November 1 - Crowdsale Stage I begins
December 2018 Official presentation of WolfpackBOT beta Software Preview Creation of Wolfcoin (WOLF: 300,000,000 coins pre-mined on Genesis Block) WolfpackBOT beta Software release to selected customers
December 21 - Launch network and mine Genesis block
December 22 - PoW / Mainnet
December 23 - Blockchain and network testing
December 28 - Iquidis Wolfcoin Block Explorer released on our website
January 2019 January 1 - Wolfcoin Core wallets available for download on the website January 1 - Wallet and Masternode Tutorial available January 1 - Masternode and PoW instructional videos available January 1 - Subscription Pre-order Coin Rewards disbursed Announcement listing WOLF on top-10 Exchange
February 2019 February 1 - Crowdsale Stage I Ends February 1 - Crowdsale Stage II Begins
March 2019 March 15 - Crowdsale Stage II Ends March 15 - Crowdsale Stage III Begins WolfpackBOT Software roll-out to contributors WolfBOX Console available for Pre-order
April 2019 WolfpackBOT Subscriptions available for customers First Major version released: automated, manual, and paper trading WolfpackBOT Live support center April 30 - Crowdsale Stage III Ends
May 2019 WolfBOX Consoles Pre-orders first shipment
June 2019 New trading features such as new exchanges, strategy options and indicators
July 2019 New trading features such as new exchanges, strategy options or indicators
August 2019 WolfpackBOT Software Trading Platform V2.0 Second major release: Strategy Marketplace and Back-testing
September 2019 New trading features such as new exchanges, strategy options or indicators
October 2019 WolfpackBOT Software Trading Platform V3.0 Third major release: Signals Marketplace (Supporting 3rd Party App Signals) Mobile Application for WolfpackBOT Software and Trading Platform
November 2019 New trading features such as new exchanges, strategy options or indicator
December 2019 WolfpackBOT Software Trading Platform V4.0
January 2020 WolfpackBOT Software Trading Platform V5.0 Fourth major release: Machine Learning Strategy Optimization

THE AMAZING TEAM

Philip Longhurst Chief Executive Officer The leader of our pack and the man behind the WolfpackBOT trading bot, Philip Longhurst is a mathematical genius, engineer, day trader, and animal rescuer. As an account manager for J.P. Morgan and MBNA Bank, Phil managed the accounts of several high-profile clients and businesses. He has been successfully trading stocks for over twenty-five years and has successfully applied his trading expertise and mathematical acumen to the cryptocurrency market since 2013.
Philip holds bachelor's degrees in mechanical engineering and business administration and is a loving husband, father, and family man who has been rescuing dogs since 1995. His driving desire is to use the success of Wolfpack Group to create a brighter future for humanity. He currently resides in the United States of America with his wife, daughter, and dogs.
Rogier Pointl Chief Financial Officer Rogier Pointl is a successful entrepreneur with nearly twenty-five years of experience in business management, marketing, financial administration, economics, and fintech. Rogier holds bachelor's degrees in Business Communications and Financial Administration. He is a pioneer in the field of virtual reality, having served as CEO and owner of Simworld, the first virtual reality racing center in Europe, where he oversaw the development of advanced simulator and virtual reality hardware and software.
Rogier is an experienced trader and has been trading stocks since 2007. He began applying his expertise to the cryptocurrency market in 2010, gaining experience as a Bitcoin miner along the way. Rogier is a loving husband and father and currently resides in the Netherlands with his wife and two daughters.
Jason Cormier Chief Technical Officer Jason Cormier is a humble -but extraordinary- individual who is blessed with a Mensa IQ of 151, he is continually driven by a desire for knowledge and self-growth. He is self-taught in Visual Basics, C#, C++, HTML, and CSS and began developing programs and applications at the age of 14, including the TCB Wallet, which was the first ever wallet program that held its users' log in names and passwords. Jason is a cryptocurrency guru whose expertise includes cryptocurrency mining farms, proof-of-stake, masternodes, and cryptocurrency trading.
Jason holds Associate degrees in Computer Science and Psychology, and currently resides in the United States of America with his wife and son.
Jay McKinney Chief Web Development and Design Officer Jay is a veteran of the Iraq War who put his life on the line in combat to protect our freedoms. To center himself while stationed in the Iraqi warzone, he taught himself C# as he knew honing his Web Development skills would help him provide a better future for himself and his family. Upon returning home safely, he worked his way through college and holds bachelor's degrees in Computer Programming and Web Development & Design.
Jay has worked for the Kentucky Housing Corporation, serving as a software engineer and web developer. He is a loving family man who currently resides in the United States of America with his wife and two children.
David Johnson Chief Software Development Officer David holds a Master of Science degree in Information Systems and a Bachelor's degree in Business Administration with a specialization in Information Systems, graduating with Magna Cum Laude status. He has worked for the Kentucky Housing Corporation, serving as a network analyst and software engineer. As an entrepreneur, he has owned his own web and software development company since 2009, creating and maintaining several websites in C# and PHP, and has been operating the crypto-oriented YouTube channel BigBits since 2017, where he discusses automated Cryptocurrency trading strategies.
David is a proud father of two and resides in the United States of America with his wife and children. Like any good Kentuckian, he is a huge fan of the University of Kentucky's college sports teams.
Gabriel Condrea Software and Web Development Officer Gabriel Condrea holds a bachelor's degree in electrical and computer engineering and has worked as a software developer and senior systems engineer in both the United States and the United Kingdom, working with a variety of programming languages and IDEs. He has used his expertise to create Manufacturing and SCADA systems in industrial applications.
Gabriel also applies his engineering skills to cryptocurrency day trading, seeking to automate the process. He loves to travel and currently resides in the United States with his girlfriend.
Igor Otorepec Chief Hardware Development Officer Igor is an engineer with twenty years of experience specializing in advanced PLC programming and industrial robotics. He is also an IT security expert and a CEC Certified Ethical Cracker who uses his skills to expose and patch security vulnerabilities in blockchain codes.
Igor is an advanced cryptocurrency trader and Kung Fu master who uses bio-hacking as a way of life to keep his 'chi' constantly centered. He currently resides in Austria with his loving wife.
Manik Ehhsan Director of Marketing and Public Relations Manik holds a Bachelor's degree in Computer Science and has over five years of experience in Web Development, Digital Marketing and Graphics Design. He has also managed the marketing for more than 30 successful Cryptocurrency start-ups and projects, and specializes in SEO and ASO. Manik is also a Cryptocurrency project promotion expert with an emphasis on Masternodes and building Social Media Communities.
Manik has focused his life on Cryptocurrency and currently resides in Bangladesh with his loving family.
Rance Garrison Chief Marketing Officer Rance Garrison holds a bachelor's degree in Business Administration and specialized in Seminary Studies for his Master's degree. He served as an AmeriCorps VISTA at WMMT-FM, the radio station owned by Appalshop, an arts and education center in Kentucky, and has also specialized in local cable television advertising. Rance is also a musician who has released several albums independently over the last decade.
Rance is very dedicated to his local community and is most excited by the potential implications of cryptocurrencies and blockchain technology for rural and remote economies. He currently resides in the United States of America with his wife, dog, and cats.
Paul Gabens Chief Public Relations Officer A master negotiator with a penchant for strategy, Paul Gabens brings more than twenty years of marketing and promotional experience in the automotive, hospitality, and entertainment industries to the Wolfpack. He is also an avid stock and cryptocurrency trader, having first entered into the cryptocurrency market two years ago, embracing his passion for crypto with the same vigor as his love for travel, classic cars, extreme roller coasters, and surfing.
Paul holds degrees in business management, marketing, and automotive aftermarket. He currently resides in the United States with his fiancé and two cats.
Blake Stanley Marketing and Social Media Officer Blake Stanley is a cryptocurrency enthusiast who also has over six years of experience managing both government and private sector client and customer relations. A strategic thinker and expert in the field of social media-based advertising, Blake also owns and manages his own online marketing company where he has been successfully curating and implementing online marketing and advertising strategies for his clients for the past three years.
Blake is a proud father and family man and currently lives in the United States with his daughter and fiancé.
Martin Kilgore Market and Trading Analyst Martin Kilgore holds bachelor’s degrees in both accounting and mathematics, having researched Knot Theory and the Jones Polynomial during his undergraduate studies, giving him a firm edge when analyzing market conditions. He has worked as a staff accountant for several governmental organizations.
Martin lives in the United States with his fiancé.
Jonathan McDonald Chief Trading Strategy Officer Jonathan has honed his trading skills over the past five years by studying and implementing economics, financial strategy, Forex trading analysis and trading bots. Through his constant learning, he discovered Cryptocurrency after seeing the difference in market volatility and high yield trading. His fine-tuned trading strategies complement Crypto markets perfectly, and he has been implementing trading strategies to the Cryptocurrency market for over a year with phenomenal results. Jonathan is constantly improving his trading skills with an emphasis on scalping techniques. He has applied his trading skillset to the WolfpackBOT and enjoys working alongside the Wolfpack in creating the fastest trading bot on the market.
Jonathan currently resides in Canada with his supportive girlfriend and family.
Web site: https://www.wolfpackbot.com/
Technical document: https://www.wolfpackbot.com/Pdf/whitepaper_en.pdf
Bounty0x username: idrixoxo
submitted by idrixoxo2015 to u/idrixoxo2015 [link] [comments]

Auto-trading fun with Bollinger bands [Novice level].

Whilst we have a fair few 'novice' posts about TA and Global Macro (aka "Fundamentals"), there aren't too many involving auto-trading. Seeing as I'm in the middle of teaching myself MQL4, I thought I'd throw this out there as discussion prompter.
By "novice", I mean someone who has moved beyond complete beginner ("what's a FOMC and a NFP?") but still not deploying robust and market ready strategies ("how does market structure affect news event response?"), so constructive criticism, informed commentary or taking the ideas and developing them further are very much the point of sharing in the first place. It's not meant to be a showcase of code, because the code is a mess!
This post got me thinking about how relatively trivial it would be to implement a Bollinger Band mean reversion autotrader.
Project Goals
My interest in the project was as a way to begin development of a skeleton EA that would use a custom indicator to implement trade signals. The point of this would be to allow for faster prototyping of visually based autotrading before taking it to the testing environment. The key advantage of this is that you can see on your charts which entries are being missed, something that is much more laborious to do via visual mode in the strategy tester.
Concept Development
So to begin the project, I sketched out the concept.
One way to trade Bollinger Bands is to trade the reversion to the mean. Intuitively, we expect that wider deviations from the mean will result in more reliable reversions to the mean. To explore this we could enter when price breaches the second SD band and then returns back inside it.
Here's the default Bollinger Band on default settings in MT4, demonstrating this sort of behaviour:
http://i.imgur.com/dK2oDO7.png
Prototyping
I want to use the indicator, and not the EA, to generate trade signals, as this is the point of the project for me. Because I'm lazy and grew up coding in basements, I opt to fiddle with the default indicator code rather than build up from scratch.
My first goal is to add two things.
Firstly, I want to add another layer of bands, because I saw a set up like that a while ago and liked it. (This is not a very good reason, and I think it costs me down the track).
Secondly, I want to add in a way to visually indicate the trade signals before we pass them to the EA.
Adding another set of bands is just a copy and paste of the existing bands. My learning point here is that I need to adjust the amount of buffers to match the number of bands I want. This comes into play for adding the trade signal arrows, as they need to go in the same sort of structure as the second lot of bands.
[I know from reading about the project goals in advance that EAs access custom indicators via iCustom(). This function can only receive the contents of one of the first 8 indicator buffers. Thus the idea will be that the buffer that marks out the trade entries on the indicator will later be used by the EA to mark out where entries should be. It's possible this is not the best way for EAs to access custom indicators , so input from more experienced coders is welcome!]
#property indicator_chart_window #property indicator_buffers 8 // <---- have to set this to match your copy and pasted buffer amount #property indicator_color1 LightSeaGreen #property indicator_color2 LightSeaGreen #property indicator_color3 LightSeaGreen // hack in (make 'em colourful. Turns out I didn't understand how the numbering worked, and indictator_color4 is never visualised) #property indicator_color4 clrWhite #property indicator_color5 clrWhite #property indicator_color6 clrRed #property indicator_color7 clrGreen #property indicator_color8 clrRed //--- indicator parameters input int InpBandsPeriod=50; // Bands Period input int InpBandsShift=0; // Bands Shift input double InpBandsInnerDeviations=1.0; // Add in for our other Band input double InpBandsOuterDeviations=2.0; // Bands Deviations //--- buffers double ExtMovingBuffer[]; double ExtUpperBuffer[]; double ExtLowerBuffer[]; double ExtStdDevBuffer[]; // hack in buffers (these buffers will store our trade signals) double SellSignalBuffer[]; double BuySignalBuffer[]; // these buffers will hold the additional bands. apologies for the naming, I didn't originally intend to share this double ExtUpperUpperBuffer[]; double ExtLowerLowerBuffer[]; //+------------------------------------------------------------------+ //| Custom indicator initialization function | //+------------------------------------------------------------------+ int OnInit(void) { //--- 1 additional buffer used for counting. IndicatorBuffers(8); // don't forget to adjust this to account for the new buffers IndicatorDigits(Digits); //--- middle line SetIndexStyle(0,DRAW_LINE); SetIndexBuffer(0,ExtMovingBuffer); SetIndexShift(0,InpBandsShift); SetIndexLabel(0,"Bands SMA"); //--- upper band SetIndexStyle(1,DRAW_LINE); SetIndexBuffer(1,ExtUpperBuffer); SetIndexShift(1,InpBandsShift); SetIndexLabel(1,"Bands Upper"); //--- lower band SetIndexStyle(2,DRAW_LINE); SetIndexBuffer(2,ExtLowerBuffer); SetIndexShift(2,InpBandsShift); SetIndexLabel(2,"Bands Lower"); SetIndexBuffer(3,ExtStdDevBuffer); //--- Copy and paste from above, and just change the number! Upper outer band is INDEX 4 SetIndexStyle(4,DRAW_LINE); SetIndexBuffer(4,ExtUpperUpperBuffer); SetIndexShift(4,InpBandsShift); SetIndexLabel(4,"Bands Outer Upper"); //--- Copy& paste, lower outer band is INDEX 5 SetIndexStyle(5,DRAW_LINE); SetIndexBuffer(5,ExtLowerLowerBuffer); SetIndexShift(5,InpBandsShift); SetIndexLabel(5,"Bands Outer Lower"); //--- remind myself which is which so I don't forget later: sell signal is INDEX 6!!!! SetIndexStyle(6,DRAW_ARROW); SetIndexArrow(6,218); SetIndexBuffer(6,SellSignalBuffer); SetIndexShift(6,InpBandsShift); SetIndexLabel(6,"Sell Signal"); //--- buy signal is INDEX 7 !!! SetIndexStyle(7,DRAW_ARROW); SetIndexArrow(7,217); SetIndexBuffer(7,BuySignalBuffer); SetIndexShift(7,InpBandsShift); SetIndexLabel(7,"Buy Signal"); //--- check for input parameter if(InpBandsPeriod<=0) { Print("Wrong input parameter Bands Period=",InpBandsPeriod); return(INIT_FAILED); } //--- SetIndexDrawBegin(0,InpBandsPeriod+InpBandsShift); SetIndexDrawBegin(1,InpBandsPeriod+InpBandsShift); SetIndexDrawBegin(2,InpBandsPeriod+InpBandsShift); // hack in our additional buffers, so they also start at the corect point SetIndexDrawBegin(4,InpBandsPeriod+InpBandsShift); SetIndexDrawBegin(5,InpBandsPeriod+InpBandsShift); SetIndexDrawBegin(6,InpBandsPeriod+InpBandsShift); SetIndexDrawBegin(7,InpBandsPeriod+InpBandsShift); //--- initialization done return(INIT_SUCCEEDED); } //+------------------------------------------------------------------+ //| Bollinger Bands | //+------------------------------------------------------------------+ // all of this code is from the default indicator int OnCalculate(const int rates_total, const int prev_calculated, const datetime &time[], const double &open[], const double &high[], const double &low[], const double &close[], const long &tick_volume[], const long &volume[], const int &spread[]) { int i,pos; //--- if(rates_total<=InpBandsPeriod || InpBandsPeriod<=0) { return(0); } //--- counting from 0 to rates_total ArraySetAsSeries(ExtMovingBuffer,false); ArraySetAsSeries(ExtUpperBuffer,false); ArraySetAsSeries(ExtLowerBuffer,false); ArraySetAsSeries(ExtStdDevBuffer,false); // hack in to make sure our custom buffers run in the same direction ArraySetAsSeries(SellSignalBuffer,false); ArraySetAsSeries(ExtUpperUpperBuffer,false); ArraySetAsSeries(ExtLowerLowerBuffer,false); ArraySetAsSeries(BuySignalBuffer,false); ArraySetAsSeries(close,false); ArraySetAsSeries(high,false); ArraySetAsSeries(low,false); //--- initial zero if(prev_calculated<1) { for(i=0; i1) pos=prev_calculated-1; else pos=0; //--- main cycle for(i=pos; i After a bit of tweaking typos, the indicator now displays two sets of bands, one at 1x SD and one at 2xSD from the mean (moving average). It also has two buffers that will use the DRAW_ARROW style to mark out potential trades.
Adding trade logic
I still can't decide if it's better to isolate the logic code in the Custom Indicator or the EA, in the long run. There seem to be performative, stylistic and redundancy issues, but for the moment the project is to put the logic in the Indicator, so that's what I did.
The fastest way to prototype this idea seems to be identifying when price closes outside of the far band.
This is trivial to achieve. We compare the close to the two outer bands, and if it's outside them, then we set the relevant trade signal buffer.
//
 double tempclose = close[i]; if(tempclose>(ExtUpperUpperBuffer[i]+10*Point)) { SellSignalBuffer[i] = high[i]+(20* Point); } else { SellSignalBuffer[i] = 0; } if(tempclose<(ExtLowerLowerBuffer[i]-10*Point)) { BuySignalBuffer[i] = low[i]-(20*Point); } else { BuySignalBuffer[i]=0; } } 
It works!
http://i.imgur.com/Ak3UkkK.png
Green arrows successfully mark out possible sell entries where price closes above the top band, and red arrows mark out possible buy entries when price closes below the lower band.
The logic can be a lot more complicated than this obviously, but the point of my project is to develop the iCustom technique, rather than make a good autotrader.
Now it's time to switch to the EA.
part two to follow
submitted by alotmorealots to Forex [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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Indicators: Bollinger Bands (20;2), Awesome Oscillator. ... As you can see, the main idea of our backtesting experiment was to show that: The price breaks the Middle Bollinger Band and the Bullish candlestick closes above it. The slopes of the Awesome Oscillator cross the zero level up and turn green. On the candlestick where these two conditions are met, you open the Long trade. In the case ... Bollinger Bands are one of the most popular technical indicators in any financial market, including Forex. They were created by John Bollinger in the early 1980s from the need for adaptive trading bands that could accurately reflect price volatility. Learn in this complete article what is Bollinger Bands in Forex, an indicator used by professional traders and how to read it's signals. Bollinger Bands indicator with the following settings: 20 periods and two standard deviations. BandWidth indicator. To add the Bollinger Bands indicator to the chart, open the "Insert" tab in the main menu, then "Indicators", "Trend" and in the submenu that opens, select Bollinger Bands. This will open the settings window. In it, we will set ... Forex Trading with Bollinger Bands Strategies. Team ForexBoat April 20, 2017; No comments; The Bollinger Bands indicator is perhaps the most popular trend indicator when analyzing a currency pair. Like any trend indicator, it is applied directly to the chart. Also, it is mostly used to find entries for riding a trend. These could be buying dips in a rising trend or selling spikes in a falling ... The RSI Bollinger Bands Metatrader 4 Forex Robot is an algorithmic trading software that utilizes overbought (OB) and oversold (OS) regions within the Relative Strength Index space to create automated sell and buy market alerts. The RSI Bollinger Bands forex robot works on the M15, H1 and H4 time frames. However, the 15-Minute EUR/USD currency pair was deployed for the sake of our back testing ... Bollinger Bands with RSI (higher low and lower high) Another way to catch Bollinger Bands reversal signal is to combine it with the RSI indicator, known as the Relative Strength Index tool. You will find it in the indicators menu for most of your charting packages out there. The RSI is a technical momentum oscillator that measures the speed and change of price movement. In other words, The RSI ... Step 2) Select Bollinger Bands from the menu and pass the Close price values. Step 3) Select a cell to post the results and the bollinger band series will be calculated. Once, you have the Bollinger band series, you can simply plot it or backtest your trading strategy based on Bollinger Bands. Bollinger Bands Squeeze: How to identify explosive breakout trades about to occur . Here’s a fact: Volatility is always changing. The markets move from a period of high volatility to low volatility (and vice versa). If you’re a new trader, it can be difficult to identify the volatility of the markets. So, this is where Bollinger Bands can help because it contracts when volatility is low ... Forex Indicators: Bollinger Bands Explained . Most beginners and experienced traders know the indicator as Bollinger Bands. This is a fairly old and reliable tool. In this article we will consider all the nuances of using such indicators and the advisability of trading on various timeframes. You can use strategies for your own trading or adjust it to your trading experience. What is Bollinger ... Bollinger bands backtesting results Post # 1; Quote; First Post: Jul 22, 2010 10:52pm Jul 22, 2010 10:52pm longshot_nl. Joined Jan 2010 Status: .... 3,753 Posts. Ok this trading strategy works as follows... Every time a bollinger band is hit and a 4H candlestick closes below the upper bollinger band a short position is taken and all long positions are closed. And opposite when the lower ...

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