How To Trade Moving Averages (Part 1) ProTrading ...

[WallText] For those who really want to be forex traders.

Im sry if u find some grammatical errors, english is not my mother language. Let me know and i will fix it.
First of all, look for at least half an hour without interruptions to read this manual.
This is the system that has created trading professionals. He has done it and today he continues doing it, as it happened with me.
It is not a system written in any forum, in fact I believe that it has been the first to collect all the ideas and create a structure to follow to carry them out, but these same ideas and procedures have been the ones that the winning traders have used during decades and will continue to use, since they are based on completely objective and real foundations.
Let's go to it:
Hi all.
It is known that the observation time makes the patterns elucidate, and after some time in the forum and throughout this trading world I have found many patterns in the responses of the people, I have reasoned about them, and I have realized their failures, why they fail to be profitable.
There are people who have put effort into this. Not all, but there are people who have really read a lot, studied a lot, learned a lot and tried a lot, and even then they are not able to achieve stable profitability.
The question is: Is there enough in that effort? Is there a specific moment in the line of learning where you start to be profitable? The question is, logically.
There are traders that generate constant profitability. Hedge funds, investment firms ... and the difference is in areas where people for some reason do not want to invest time.
Why are there more messages in the strategy forums than in the psychology, journals and fundamental analysis together?
As human beings, our brain is programmed to look for quick positive responses. In nature, the brain does not understand the concept of long-term investment. There is only a short-term investment made from the difference between what we think will cost us something and what we think it will contribute. If we think that it will cost us more than it can give us, we simply do not feel motivated. It is a simple mechanism.
The market plays with these mechanisms. There are more scalpers created from the search for that positive emotion than from the search for a scalping system.
In short, we are not programmed to operate, and there lies the fact that only a huge minority of operators are profitable.
Among others, I have observed several patterns of behavior that make a trader fail, and they are:
- Search for immediate pleasure: The trader wants to feel that he has won on the one hand, and on the other he wants to avoid the feeling of loss. Following this there are many traders who place a very low take profit and a very high stop loss. This is not bad if the probabilities have been reviewed before, the mathematical factor of hope, the relation with the drawdown .. but in the majority of the cases absolutely nothing of statistics is known. There is only that need to win. They win, they win, they win, until one day the odds do their job and the stop loss is touched, returning the account to its origins or leaving it with less money than it started. This does not work.
- Search for immediate wealth: Again it is something immediate. People want good emotions, and we want them already. The vast majority of traders approach this world with fantasies of wealth, women and expensive cars, but do not visualize hard work, the sickly hard work behind all this.
From there underlie behaviors like eternally looking for new robots or expert advisors that promise a lot of money, or new systems. The type of trader that has this integrated pattern is characterized by doing nothing more than that. Spend the day looking for new strategies Of course he never manages to earn constant money.
- Think that trading is easy: Trading is not easy, it is simple. Why? Because when you get the wisdom and experience necessary to find yourself in a state of superior knowledge about the market and effectively make money, it is very simple; you just have to apply the same equation again and again. However, it is not easy to reach this equation. This equation includes variables such as risk understanding, mathematics, certain characteristics in the personality that must be assimilated little by little, intelligence, a lot of experience ..
This is not easy. This is a business, and in fact it is one of the most difficult businesses in the world. It may seem simple to see a series of candles on a screen or perhaps a line, or any type of graphic, but it is not. Behind the screen there are hundreds of thousands of very intelligent professionals, very disciplined, very educated, very ...
This business is the most profitable in the world if you know how to carry, since it is based on the concept of compound interest, but it is also one of the most difficult. And I repeat. It's a business, not a game. I think you'll never hear a lawyer say to his boss: "We're going to focus all our time on finding a strategy that ALWAYS makes us win a trial, ALWAYS." What does it sound ridiculous? It sounds to me just as ridiculous for trading.
But you are not to blame, you have been subconsciously deceived through the advertising brokers and your own internal desires, to think that this is something easy.
- Lack of discipline: Trading is not something you can do 10 minutes on Monday and 6 on Thursday. This is not a game, and until you get a regular schedule you can not start earning money. There are people who open a graph one day for 5 minutes, then return to their normal life and then one week returns to look at it for other minutes.
Trading should not be treated as a hobby. If you want to win "some money" I advise you not even to get in, because you will end up losing something or a lot of money. You have to think if you really want trading to be part of your life. It's like when you meet a girl and you want to get married. Do you really want to get into this with all the consequences? Because otherwise it will not work.
Visualize the hard work behind this. Candle nights, frustrations, several hundred dollars lost (at the beginning) .. enter the world of trading with a really deep reason, if you lose a time and money that no one will return, and both things are finite!
- Know something and pretend to know everything: Making money in the markets is not based on painting the graph as a child a paper with crayon wax and pretend to make money.
It is not based on drawing lines or circles, or squares. It is based on understanding the operation of all these tools, the background of the why of the tools of trading.
A trend line only marks the cycle of a wave within a longer time frame, within a longer time frame, and so on indefinitely. In turn, this wave is divided into waves with a specific behavior, divided into smaller waves and Etcetera, and understanding that dynamic is fundamental to winning.
It is not the fact of drawing a line. That can be done by an 8 year old boy. It is the fact of UNDERSTANDING why.
There are traders who read two technical analysis books and a delta analysis book and believe that they are professionals, but do they really understand the behavior of the market? The answer is in their portfolios.
After this explanation that only 10% will have read, I will try to detail step by step something that is 90% yearning, and that will have quickly turned the scroll of your mouse to find the solution to all your problems while supporting the beer in a book of " become rich ", rotten by lack of use.
These steps must be carried out one by one, starting with the first, fulfilling it, moving on to the second, successively and growing. If steps are taken for granted, or not fully met, it simply will not work.
I know this will happen and the person who did it will think "Bah, this does not work." and you will return to your top strategy search routine.
That said, let start:
1º Create a REAL account with 50 dollars approximately:
_ Forget the demo accounts. They are a utopia, they do not work. There is infinite liquidity, without emotions and without slipagge.
These things will change when we enter the real market, and the most experienced person in the world will notice a sharp drop in their profitability when it happens to real accounts.
And not only using a demo account has disadvantages, but using a real one has advantages.
We will have a real slipagge with real liquidity. Real requotes and more. The most important: We will work our emotions at the same time. Because yes, we will lose or win a couple of cents, but that has a subconscious impact of loss.
This means that we will begin to expand our comfort zone from the start.
Using a demo account is simply a disadvantage.
2º Buy a newspaper in the stationery or in Chinese (optional), or write one online or in Word:
A newspaper will be of GREAT help. You can not imagine, for those of you who do not have one, how a newspaper can exponentiate our learning curve. It is simply absurd not to have a diary. It's like taking a ticket of 5 instead of one of 100.
In this diary we will write down observations that we make about the operations that we will carry out in points that I will explain later of this same manual.
We will divide the newspaper into 2 parts:
  • 1 part: The operation itself. We will write the reasons for each operation. The why we have done it.
  • 2 part: How we feel. We will unburden ourselves without explaining how we feel, what our intuition tells us about that particular operation and so on.
How to use:
We will read the newspaper once a week, thinking about the emotions we felt each day and in what situations, and the reasons.
Soon, we will begin to realize that we have certain patterns in the way we feel and operate, and we will have the ability to change them.
We can also learn from mistakes that we make, and keep them always in a diary.
3º Look for a strategy that has the following characteristics:
  • Make it SIMPLE. Nothing of 4 or more indicators or the colors of the gay flag drawn on the graph based on 1000 lines. Why? Because there is always an initial enthusiasm and maybe we can follow a complex strategy for a week, but burned that motivation, saturates us and we will leave it aside.
Therefore, the strategy must be simple. If we use metatrader, the default indicators work. No macd's no-lag and similar tools. That does not lead anywhere. And if you do not believe it, I'll tell you that in all areas of life comes marketing. In addition to trading towards MMA and now I do powerlifts, and there are 1000 exercises to do. However, the classics are still working and work very well. It seems that sellers of strange sports equipment do not share the same opinion, that the only thing they want is to sell!
4º Understand the strategy:
  • We must gut each process of the strategy and reason about it. What does this indicator do? What does this process? Why this and not another? Why this exit ?. Some strategies will be based on unspecified outputs. This does not suppose any problem because as we get experience in that specific strategy, we will remember situations that have occurred, we will see situations that are repeated (patterns) and we will be able to find better starts and entrances. Everything is in our hands.
5° Collect essential statistical information:
  • This part is FUNDAMENTAL, and no operator can have as much security in itself when operating as if it uses a strategy that has at least positive mathematical hope and an acceptable drawdown.
  • Step 1: To carry out this collection of information you need to test the strategy for at least 100 signals. Yes, 100 signals.
Assuming it is an intraday strategy and we do an operation per day, it will take us 100 days (3 months and 10 days approx) to carry out the study. Logically these figures can change depending on the number of operations that we make up to date with the strategy.
I have no doubt that after reading this manual we will go for a quick strategy of scalpers, with 100 signals every 10 minutes where the seller comes out with a big smile in his promotional video.
I personally recommend a system of maximum 2 daily operations to start, but this point is personal.
Is it a long time? Go! It turns out that a college student of average intelligence takes 6 years to finish a career. It takes 6 years just to train, and there are even more races. This does not guarantee any profitability, and in any case most of Sometimes it will get a static return and not based on compound interest. I can never aspire to more.
The market offers compound profitability, there will be no bosses, nor schedules that we do not impose. We will always have work, and we can earn a lot more money than most people with careers or masters. Is it a long time? I do not think so.
As I was saying, we will test the strategy 100 times with our REAL account that we created in step 1. Did you decide to use a demo account? Better look for another manual; This has to be something serious. They are 100 dollars and will be the best investment of all in your career as a trader.
  • Step 2: Once with the report of the 100 strategies in hand, we will collect the following information:
  • How many times have we won and how many lost. Afterwards, we will find the percentage of correct answers.
  • How much have we won and how much have we lost? Afterwards, we will find the average profit and the average loss.
  • Step 3: With this information we will complete the mathematical hope formula:
(1 + average profit / average loss) * (percentage of correct answers / 100) -1
Example:
  • Of the 100 operations there are 50 winners and 50 losers, then the success rate is 50%.
  • Our average profit is 20 dollars and our average loss is 10 dollars.
Filling the formula:
(1 + 20/10) * (50/100) -1
(1 + 2) * (0,5) -1
3 * 0.5 - 1
1,5 - 1 = 0,5
In this example the mathematical expectation is 0.5. It is POSITIVE, because it is greater than 0. From 0, we will know that this strategy will make us earn money over time ALWAYS we respect the strategy.
If after a few days we modify it, then we will have to find this equation again with another 100 different operations. Easy? A result of "0" would mean that this strategy does not win or lose, but in the long run we would LOSE due to the spread and other random factors.
You have to try to find a strategy that, once this study is done, the result of your mathematical hope is greater than 0.2 as MINIMUM.
Finding this formula will also give a curious fact. The greater the take profit in relation to the stop loss, as a general rule more positive will be our mathematical hope. This has given many pages of discursiones about whether to place take profit> stop loss or vice versa.
If our stop was larger than the take profit, then the other ratio (% earned /% lost) should be yes or yes positive.
But this is just curiosities.
let's keep going:
  • 6° Expand our comfort zone:
We will not be able to work with operations of 10 million dollars overnight, but we can progressively condition ourselves to that path.
Assuming all of the above, and with a real account, some experience in the 3 months of information gathering and a positive mathematical hope, we are ready to operate in real with some consistency. But how to carry it out?
The comfort zone is the psychological limits we have before feeling fear or emotional tension. When we get into a fight, we have left our comfort zone and we feel tension, unless we have a psychopathic disorder.
Every time we lean out onto a 300-meter balcony from a skyscraper, we move away from the comfort zone. Every time we speak to a depampanante woman, we move away from our comfort zone.
Our brain creates a comfort zone to differentiate what we usually do and is not substantially dangerous, from the unknown and potentially dangerous to our survival or reproduction. And whenever the brain interprets that these two aspects are in danger, we will feel negative emotions like fear, disgust, loneliness, fury, etcetera.
This topic is much more profound and you would have to read several volumes of evolutionism to understand the why of each thing. The only thing that interests us here is the "what", and the one, that is, that there is a certain comfort zone that must be expanded without any problems.
With trading, exactly the same thing happens. The forex market is a virtual environment in which we lose or gain things, but our brain does not differentiate between reality and what is not, it only attends to stimuli of a certain type.
We can lose food in the middle of the forest or also a crude oil operation.
Our goal is to condition our subconscious so that it is progressively accepting lost and small benefits, and as time goes by, bigger.
The exercise to achieve this is the following:
  • We will operate on that account of 100 dollars with our mathematically positive strategy for 3 more months.
  • After these three months, our account should have benefits, because of the mathematically positive strategy.
  • We will enter 200 dollars more and we will operate a month more raising the lots according to our risk management (I do not advise that the risk is greater than 2%)
At this point, I know how hard it is to resign myself to impatience, but follow those times and do not skip it even if you feel safe, but you will fail, it's simple.
Let's keep going:
  • After that month, we will raise our capital again with a new income. This time we will enter 1000 dollars (save if you do not have 1000 dollars loose, you will recover later on, do you want to make money, enter 1000 dollars.
We will test the operation one month with this new injection. We probably notice difficulties. More blockages, more euphoria when winning ... how will we know when to move on to the next entry? When we do not feel ANYTHING or at most something very shallow, when win or lose If observing the wall and operating is for you the same from an emotional point of view, it is time to enter more money.
  • We will follow this procedure until we have a basic account of 21000 dollars. The amounts to be paid will depend on our ability to not feel emotions, a capacity that will be taking over time.
We will raise capital until we feel that we block too much. In that case we will drawdown to a more acceptable amount, and we will continue at that level until get discipline and lack of reactivity at that level. Later, we will go up.
  • If we want to earn more money, we will continue entering and entering. Always following the conditioning scheme of 1 month.
Why a month?
A study conducted in the United States revealed that the subconscious needs an average of 28 days to create new habits or eliminate old habits. Emotional reactions are part of the habits. If we maintain some pressure of any emotion during the opportune time, in this case 28 days, will create tolerance and the subconscious will need a more intense version of the stimulus to activate.
AND THAT'S ALL!
Follow these steps and you will triumph. Here is the golden chalice, the tomb of Jesus or whatever you want to call it. There is no more mystery in the world of trading. This system will accompany you during the next year, year and a half. It's the one I used and it WORKS. Once done, you will have a very profitable system integrated into your being, since not only will it be mathematically viable, but you will also have the necessary experience to make it infinitely more profitable yet.
In addition, you will have psychology fully worked on a professional level to have conditioned your subconscious gradually.
Happy trading to all of u guys.-
submitted by Harry-Postre to Forex [link] [comments]

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

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  1. 296 points, 24 submissions: tuckerbalch
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  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)
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  3. 118 points, 17 submissions: yokh_cs7646
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  4. 67 points, 13 submissions: harshsikka123
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    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)
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  5. 63 points, 10 submissions: htrajan
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  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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