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Shorting Noobs - Common Trend Following Mistakes I'm Trading Against.

Shorting Noobs - Common Trend Following Mistakes I'm Trading Against.
Part [1] [2] [3]

Not much in terms of adjustments to add from previous post. I'm going to implement all risk adjustments at the weekend. In the meantime I've used some manual hedging to prevent from over exposure.
In this post I'll talk more about the ideal trades I am looking for. The mistakes people make at these areas, and how to build forward looking trade plans so you are less likely to find yourself caught in one of these market traps. I do consider these to be traps. I think price routinely moves in ways that induce market participants to take losing positions. I think this is done in algorithmic fashion and this means it leaves clues in forms of recurring ways laying traps.
This is just an opinion. I don't know.

First we will examine the classic structure of a trend. All examples will use a downtrend.

Basic Recurring Trend Structure:

Basic Trend Structure

Most of you will have seen this before, and probably recognise it as Elliot Wave theory (EWT). Whether or not you think EWT is valid or not, there are some things I think all of us can agree on. That is for the market to be in a downtrend, it has to keep making new lows. If it doesn't, it's not in a downtrend anymore. You'll also probably agree there are retraces in moves. That not often are new lows consistently made without any retrace. In a broad sense, this is all EWT is describing, which makes it noteworthy in good trending conditions.

Here are the points where most mistakes are made by traders in EWT cycles.


Trend Best/Worst Entries

All areas marked off in orange are places where it's easy to make mistakes.

Looking closer, this is what the more detailed price action on these sorts of moves tend to look like on lower timeframes.


Detailed Best/Worst Entries

Brown boxes are where buying mistakes are made. Purple circles are where selling mistakes are made.
We'll look a bit closer at what the specific mistakes are usually based on (conventional technical analysis theories) soon. First here is an example of this on a real AUDUSD chart.


AUDUSD Example Chart
This is a 45 minute chart, so the swings are not as detailed as the ones I've drawn (mine are more like 15 min), but you should be able to see how this concept can be transferred over onto a real chart. All of us who have been trading for a while know there are times we have made these mistakes. Everyone has ended up selling the bottom pip, or getting stopped out right before it reversed. Many of these times (in a trending market) fit into these areas.
This is not just curve fitting. Using rules to help to describe these conditions to pick the best trades and trading against the trades strategy providers offer, I picked up these trades. This was not perfect, what I'm doing needs a lot of work.

AUDUSD Trade

Here we can see a couple few of the mistakes. The green lines are profits and orange lines are losses. Here shorting these mistakes has done quite well on the spike out low. It's hard to see, but it also got a lot of good buys at the low. There are some losses at the high, but there is a far larger position accumulated around the mistake level.

AUDUSD Result
See previous analysis on these trades in [2] [3]
A big trend leg followed this build up of positions and hit take profits where stops were set under the low. This is where people start to sell, but this is also usually a mistake to sell immediately after this breakout.

The types of mistakes made are due to a handful of concepts. Here I've numbered them.

Mistake Types
Rules/Rational people have in mind making these mistakes.

1 - Breakout/new high relative to recent leg / stops above previous high on sell/ previous low on buy.
2 - Single candle price action mistake.
3 - Breakout trading rushing in / stops go under recent supports/ over recent resistance.
4 - Break and retest.
5 - Deep correction.

Everything listed above has the potential to be very useful and valid in a technical analysis based strategy. However, in some contexts they are literally the very worst thing you can do. That's the thing about trading, you can do the same thing at different times and get wildly different results. What I'm trying to do here is not find people who lose every trade (I want them to win overall, actually. So I can keep copying them). I just want to work out ways to bet against mistakes they are likely to make. I think people will make these mistakes more reliably than an automated system will pick up trades.
I should add that most of these areas the mistakes happen at will be hit with a lot of velocity. This I think is what triggers the mistakes from so many impulsive traders. The market will amble along in a slow non-threatening / uninteresting sort of way, then suddenly all in a rush make these moves that imply something BIG is happening in a certain direction, when actually it's just about to move against these very positions if you take them. Velocity is one of my key filters.

Let's talk about the end of the two leg correction, this is one of the places I think most of the money is made and lost. At this point in an EWT cycle, the market is gearing up to enter it's strongest move. The best move to trade, and the smart market is going to need to get people on the wrong side. This is usually achieved with three things. One, the market makes it's first false reversal from a 50% retrace, and then moves with a lot of velocity into the 61.8% fib (briefly described in [2]). Then there's a second false breakout with price trading a little over the 61.8%, followed by a price crash into new lows.
The interesting thing about this move is if you speak to anyone with any sort of interest in EWT, they will tell you this move often completes with a news spike. There is positive news, the market moves quickly in the direction it "should" and then quickly makes a rapid reversal. Sometimes the move on the news makes absolutely no sense what-so-ever fundamentally. but does strike these areas.
Here is the Brexit chart.
Brexit trend continuation from 61.8% spike out pattern

Let's go further back.

Scotland Vote High
Here is where GBP made it's high point. This was after the fantastic fundamental news (apparently) that Scotland was staying in the UK. Price shot up, then began to heavily downtrend. I've marked in the start to the previous swing with a line, if you check these fibs you'll see it fits with the mistake. We are now in the part of cycle where GBP is aggressive pulling away from the range where the false reversals happened. This is punishing those who bought in this range, and we should expect to see it end in a violent spike down. Remember the people who thought buying Sterling after Brexit was free money? Nah uh.
This happens a lot. When it happens I see people trying to explain it with all sorts of theories. Usually involving the saying "priced in already". People often refer to these in aloof and vague ways, as if there was no way we could have ever known, and it's certainly not worth trying to forecast these sorts of things ... but next time you see this, have a quick check and see if we happened to be in a correction that spiked out a 50% high and reversed around 61.8%. It is wiser to look at what happened than take wild guesses as to why. I am not saying that it always it, nor am I saying it works like magic. I'm just saying it can be quantified. When someone says, "Well you see it was not what was said, or the number, but what was inferred ...", really means nothing. It's an opinion. We're better to look for things we can test, in my view at least.

So, let me talk you through the mental mindset of people when they're making these mistakes. I'm going to use this big Sterling chart, so this will also be a bit of a price forecast.


Mistakes Thinking Patterns.
1 - Price has been going up strongly, it's retraced and there is a single candle PA buy signal. Sets people up to take a horrible trade.
2 - Price has been falling hard and made yet another breakout, it's an easy sell ...
3 - This has fell too far, it's a reversal now. Look how strong it is.
4 - This is a strong breakout and this must be the start of a bigger move.
5 - Wow, it's broke the lows and look how hard it's falling, big sell time.

I think we will see stage 5 complete around 1.190. I think we may be due a fast move into this. Maybe in the coming week or two. It would be typical of the spike nature of end of this sort of move that this will be a single candle of over 150 pips that fills this. Being and holding GBPUSD shorts targeting 1.196 seems a great idea to me.

These five mistakes, made at these handful of areas are the ones I wanting to trade against, and if you'd like to be a profitable trader, are the places you should be looking for entries.
submitted by whatthefx to Forex [link] [comments]

Teach me please :)

Teach me please :)
Hey everyone,
My name is Allen and I am new to Forex trading. I've messed around with trading stocks a year ago, but never got good enough to profitability yet. Now, I want to learn how to trade Forex and hoping I can become profitable through consistency and persistence.
I recently opened a live account and have made 7 trades: 2 wins, 4 losses. I have been trading small and have followed my stop losses so my losses have been small. I am down net -$35 currently. Here are a few of my trades. If anyone has feedback or sees a pattern in my trading that I can improve on, please let me know. I mainly execute trades off when market taps a resistance/support level or EMA line.
Things that I think I need to improve on: 1) Identifying correct market trend
- Ex) sometimes I have trouble figuring out if market is pulling back on a downtrend or starting to create a higher low and reversing

2) Identifying proper entry signals
- I am still working on interpreting price action. I usually enter trades on 15min chart or 1 hour chart. I may need to stop using 15min chart because I get faked out easily from it. One thing I've been implementing and it has helped my patience is waiting for candles to close before assuming market trend. Such as waiting for 15min candle or 1hour candle to close before entering a trade.


Here are some examples of my trades:
1) NZD/USD (Loss) Entry: short 0.65313 Exit: 0.65394
Reason for entry: I thought the market was going to respect the green trend line. Stop loss was right above the trend line. I saw a wick on 15 min chart and a red engulfing candle following it.


1 hour chart

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2) USD/CHF (Loss) Entry: short 1.00876 Exit: 1.00942
Reason for entry: In the 1 hour chart, it broke it's uptrend structure by creating a lower low. It rejected off the .50 level of Fibonacci Retracement, which signaled me that it is possibly going to continue downtrending. Both, 4hour and 1 hour charts were under the 34EMA (orange trend line).
15 min chart


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3) EUNZD (Win) Entry: short 1.71027 Exit: 1.70674 | 1.70884
Reasons for entry: - Market went under key level (orange horizontal line) - Market was under 34EMA (yellow trend line) - Broke through support (white horizontal line)
15 min chart
Where could I have gotten a better entry on this trade? I was negative for a long time until it finally broke the support. What will signal me if the market will be rejected off a resistance level or break through a resistance level?


-----------------------------------------------------------------------------------------------------------------------------------------------------------------------

4) NZD/USD (Win) Entry: 0.65426 Exit: 0.65335 | 0.65215 | 0.65188
Reasons for entry:
- downward market trend - market rejected off 34EMA trendline (yellow trend line) - big red engulfing candle
https://preview.redd.it/7u6fidd78h131.png?width=1560&format=png&auto=webp&s=701cf325906e056ec5b71544c5bc4895a0117c02
Lessons I learned from this trade: - Be more patient on my take profit. Took first profits out too quickly because it was dropping so quick and I was scared it would bounce back up
- Find better entry
- Similar to the previous trade, I was in the negative for a while before it worked out. Where would be a proper signal for a short? Long wick followed by a red engulfing candle at resistance level?


Sorry for the long post! Hope you learned something from my mistakes and I would greatly appreciate any feedback you guys can give me! I believe forex trading can become the gateway to financial freedom for me and I want to do my best to make it work. I also live in Orange County, CA and wouldn't mind meeting anyone who is in the area to discuss strategies and learn from each other!
Hope everyone has a great night!
submitted by allenaxie to Forex [link] [comments]

90 Day Update / Beginner's Post

Hey all, First time poster, long time lurker. Just learning until I think of useful/interesting post. I just finished Babypips school. No this isn’t another, “What do I do next?!” eager to consume posts. More just introducing myself and share methods as I progress and chat more in this sub. It’s been a super helpful research tool with just the sidebar alone, but the interactions are also generally positive and research engaged. Forex was on my list of active/sidehobby/internet ideas to try. (Along with selling on Ebay and learning/teaching languages) I’ve always been into stocks/finance and I’m open still open to continuing learning past forex into futures and/or cryptocurrency. Forex to me is kind of an intro to price action and charts for me. Also the physics of it all that I’m hoping to apply more as time goes on. Anyways , started forex 2 years ago. Saw I needed disposable income you could lose (which I didnt have at the time) and put it off. Now I’m about 3 months in with my rediscovery of it with a lot more financial cushion/discipline.I finished the babypips school and try to practice 25-45 mins a day of something forex related the last 90 days or so. Here is my routine and some things I”ve learned since starting.
Demo Trading is overrated. And then it becomes the best thing ever. I’m gunna just go out and say it. IF you’re trading for 9 months on demo you should’ve stopped 8 months ago. I mean don’t get me wrong 9 months, that shows alot of persistence in your habits, but you’re spending time on a variable that doesn’t exchange certainty in the real system. I only even say this because you could be like me. Trade demo all this time then find out the leverage you wanted isn’t even available in your country. (U.S here) So I felt like a dummy from the jump, but that’s part of the learning curve you should be doing sooner rather than later. This does not mean fund your account fully. No, put just $200. I trade with my initial capitol @ $200 and I won’t add a penny more until I’ve developed a profitable system with what’s already in there. A good investment is a good investment and throwing more money doesn’t actually add value to the growth return on your investment.(In most cases) So what’s the big deal with Demo? Well for one you want to work with a system that’s tangible in your country. U.S is capped at 1:50 leverage. I don’t know other countries regulations but it’s something I wish someone told me to look out for before I started testing financial strategies. Another thing is the spreads are often very different from what you find in demo (attention scalpers out there) sometimes dramatically. (After NY close of the day /Weekends ) You have to implement all of these factors to your strategy. Now what is demo good for? Starting out! Learning how to set indicators, trades, stop losses and so on. I’d say 60 days max if you can’t donate much time. Even less than 60 days if you have more free time but then after that it’s time to get your feet wet. One other good thing about demo accounts is that it allows you to practice fundamentally different trading ideas out before trying them out on your actual account. An example would be a scalper trying a new position strategy he learned in demo to set some long term positions next year. I enjoy trading because it’s a discipline on your anxiety. When you deposit your first amount, any amount that's more than a new video game or dvd collection, your brain is going to fire off “Hey you bought something new that can make money let’s test it out! It could be making you money” You have to calm this voice first. IF you even can. This voice makes you check the charts 3x more than you did in demo and caused at least me to trade just so the money’s not going to waste. I lost 40% of my account the first week. I would’ve called myself mentally stable before this too. But that voice broke me and you have to confront it because it’s the impatience in all of us and causes you to force your view of the markets to fit your system. Demo is a great tool but shouldnt be held on longer than it’s purpose.
Immersion This is going to be a little shorter than my last topic because this is more something everyone has to find and listen to. Don’t just study the same website or forum for forex everyday. Try to get a wide view of the financial markets as a whole and various media input. Subscribe to a couple good youtube channels maybe a visual representation of what you’ve been learning could help solidify it. Maybe a podcasts personality makes your brain react differently to topics where a bland textbook reading didnt excite you the same. Watch a documentary on trading one week and hell maybe even Wolf of Wall Street another week, whatever it is that gets your whole body involved in the feeling of trading so 1) you don’t get burned out on the topic and 2) you find more ways to connect with the information you find. Whether emotional or visually. Here are two recommendations of channels that help me break the norm of my study routine:
“Two Blokes Trading” Podcast I discovered these guys a while back in a comment thread. I would recommend this podcast to beginners because you can start from the very beginning of their series and learn with them. They’re young, enthusiastic and open to exploring alot of areas to trading and different philosophies. So sometimes you can find gems in subjects you didn’t expect to encounter. They also bring in advisors and brokerage managers to feature on their subjects. And it’s not all forex focused. Check them out: http://twoblokestrading.com/podcast-episodes/
Barry Burns “Top Dog Trading” Barry Burns I like because you have him walking you through the charts on youtube. One of the few videos I watched on Price action were by him where the lightbulb went off. He offers a great free resource and sometimes I even feel guilty getting it on youtube for free before sharing it because it feels like the things he touches on and how he explains them, even paid classes probably couldn’t get right. He has so many videos on different markets and how to read them just apply them to the type of trader you are. https://www.youtube.com/channel/UCcjyImdSWDTCGCa7G24faIQ
Routine ( final topic on this post) So every week I try to keep a basic routine of forex and ways to practice. I try to wake up early as I’m on the Pacific Coast so I get up 2 hours early before I have to head to work. 20-30 mins of this time I do something related to forex education. The rest of the time I gather my foundation for the week and arrange goals / meditate/ journal. I’ll look at the charts, when I still had Babypips to finish I’d set a time and study through what I could of the course through that time. Now that I’m finished I’ll either check this sub, watch a video/podcast or try to read something related fundamentally to trading or finance. (I’d like to get some more book ideas about trading and it’s psychology) So that’s one habit. You’ve got to be able to at least schedule 20-45 minutes a day to consistent study + practice time to acquire new skills. 20 minutes uninterrupted is enough. Wake up early if you have to. Then throughout the day you’ll find time to reflect or research more and soon the time will start to add up. This also works on the other extreme too. If you have alot of free time I’d say starting out 1 hour to 2 hours max is what you should dedicate to studying. Forex is a very mentally fatiguing process skill. You’ve got to let your brain recharge (need those MP potions it seems) the whole currency system is heavy and complex enough that starting from scratch you couldn’t learn everything in 24 hours straight. I’d say even a week straight wouldn’t work. It takes time and a habitual familiarity. It’s not dissimilar to learning a language. Where concepts become stacked on a foundation of understanding to be acted upon through your day to day. Even if you can name all the working parts, experience build with how much time you think in that language per day. There’s a reason I chose the word “Immersion” for my second topic. Moving along. Another part of my routine is backtesting 40-50 trades a week of my strongest system. This equates to a little under 10 trades a day. I completely journal and track profits like they were live. Some suggest using a simulator, while that is a great practice for timing entries, I’ve found just using the Metatrader 4 Desktop and using the F12 key to progress forward one tick at a time has been sufficient for my backtesting needs. Backtesting gives you an opportunity to practice way more trades in a week than live session will be able to provide. I’m using M15 - H1 intraday strategies and maybe pull off 5-6 trades a week. BUT I practice 10x that amount per week. Soon you’ll find your live performance is really only a display of how your last week backtesting went. It’s like football practice for the gameday. Now which system I test varies, like I said I’ll try my strongest, but that changes. Just grab any system you think you can pull off and backtest it. Babypips gave me my first few, then I created some ridiculous ones, but over time your experience of a system and how to get them to work for you grows by running test trades. Systems I’ve found and backtested that are online are: the “So Easy It’s Ridiculous” system and the Cowabunga System, both found on babypips and a simple google search. Easy. I know, and really a system is just supposed to make having trading decisions easier for you. But your participation and exit are equally important. Can you follow easy rules you or others make? No questions asked?
So that concludes my post. I hope in the future when I’ve backtested 1,000 trades I can post some of my personal systems I’ve followed, right now they feel to amateur to even share. I am the humble fool, so any ideas on my style or feedback on where I should head are greatly appreciated. I’m open to questions and dialogue so feel free to send a PM or comment. Hearing from other traders is the reason I even started this account to post and interact. This post and future ones I have planned are kind of a new element I wanted to try of journaling that allows me some social accountability and feedback from a community rather than all my entries being hoarded in my notebooks, so my apologies if it’s more wordy than usual on here. Thanks everyone and have fun!
-AP
TL:DR Just browse over the bold sections
submitted by AzathothsPips to Forex [link] [comments]

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    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
Generated with BBoe's Subreddit Stats (Donate)
submitted by subreddit_stats to subreddit_stats [link] [comments]

1Broker + TradingView beginner automation (plus question)

[Sorry for the long post] So I've looked around this sub and I see a lot of high level or theoretical Algo discussions which I can appreciate but I'm kind of lost when it comes to practical applications and I don't even know if any service even exists that can meet my needs.
Currently, I have a strategy that I think is a little profitable with 1 minute data intraday swing trading on USDJPY, it's very simple and written in Pinescript. I plug the pinescript into a 1 min chart on Tradingview and it spits out alerts for my trades. The alerts are picked up by a chrome addon called Autoview which sends the orders to 1broker using a special alert API. I hate it for many reasons: - Chrome with tradingview and Autoview must be running and checked frequently for glitches (sometimes alerts stop firing randomly) - Tradingview alerts are not meant to be used as orders so I lose any semblance of order management. Basically it fires alerts/orders for every entry point regardless of my current balance or positions. - Pinescript sucks. - 1broker uses bitcoins as currency, I like bitcoins but don't fully trust putting thousands of dollars into them when it could be rendered obsolete at any time without warning.
So the reason I use it is because it meets all my needs. I'm just starting out and I have a fairly large income via my job (US) but it would take me at more than a year to save up 25k for a legit daytrading account. So I need to find a broker + automation combo with the following: - hedging within the same fund (is this not allowed in the US?) - can make unlimited day trades without needing $25,000 USD, low minimum account size - low or no fees - supports 24/5 forex or E-mini trading (options not required) - API for automation with somewhat low coding requirements. I am familiar with python but by no means am I an expert. I like looking at tradingview charts and backtest instantaneously via graphical interface but I realize this is probably not very common.
I've spent a lot of time on both Quantopian and Quantconnect but neither of them can do intraday trading very well if at all. They are primarily focused on fundamental trading and I'm more into technical trading. I tried looking into Ninjatrader, metatrader, whatever but I found them very expensive, unnecessarily complicated, and beholden to the US's stupid trading laws.
TL;DR - Can anyone tell me exactly how to implement my simple automated intraday FX strategy using a simple interface that doesn't require me to have a $25,000 US brokerage account and software that costs 1000's of dollars?
P.S. If any other beginners are in the same situation as me you should look into 1broker.com + TradingView + Autoview, it's pretty sweet given the limitations it's working with.
submitted by Redcrux to algotrading [link] [comments]

[Just Launched] Options Domination Binary Trading - [Amazing System] - True Risk Free Trades! [New for 2015]

Many brokers or services will market something called “risk free” trades in which a certain number of your first trades you can get your money back should the signals they give you prove to be of bad quality. In most cases there are many regulations that require you to keep investing a certain amount before you can withdraw your “risk free” trades. This is the sign of a bad signal provider that probably makes more money selling their signals then they do actually implementing them themselves.
In our case study of the system we won 5 out of 7 of the trades and pocketed $250 in profit which is a 25% return on a small investment. We were very impressed with these results. At that time we could have elected to withdraw our original $1,000 and essentially be playing with the $250 “on the house”. CLICK HERE TO GET YOUR RISK FREE TRADES NOW!
CLICK HERE TO GET YOUR RISK FREE TRADES NOW!
Using their basic system of signals we were able to accumulate over $10,000 in our account in just 30 days! These are better results then we have gotten with other binary signals costing 10 times the amount of what options domination is charging. For a simple $50 a month you get multiple daily signals, keep in mind they don’t send you 1,000’s of signals a day like most services as they are focusing on the quality of the signal and not just sending you a bunch of garbage signals like many of the other companies do.
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One Minute Candlestick Trading Strategy 1 MIN Scalping Forex Charts Strategy with kouleefx Explaining the 1 Minute Scalping Strategy! 1 Min Easy Forex Scalping Strategy EASY 1 min Super Scalper over 90% win rate

Super Woodie Forex Trading Strategy. I’m pleased to introduce a well-refined forex scalping system that thrives on the 1 min, 5 mins and 15 mins trading charts. Its ease of implementation, along with low spread currency pairs adoption makes it every scalpers delight. Chart Setup 1 minute forex scalping strategy with trendlines and stochastic oscillator; 9 profitable chart patterns every forex trader on the planet must know; then you are going to be left confused in implementation. Put simply, the forex market can be said to be chaotic. So to have order in a chaotic market, you got to have rules. Hi Solo and Prince, sure thing. its a counter trend strategy based on how far price moves away from the MA. Usually use a long MA period eg 1200 or 1500 and a 5M chart for more signals. When it detects (X) amount away, it makes a trade (or trades) in the other direction. Takes a few pips and closes trades on a profit target. This is an extremely consistent and workable strategy on the 1 min. charts – UNIQUE. It is amazing how frequently your Meta Scalper strategy works. I understand this to be a 50 setting on the Bollinger Bands vs. the standard 20 length . Please confirm this BB, 50 setting. I see a 200 SMA on figure 1, above. ii) When a trader is more all round in their approach, the trader can focus on fewer currencies varying from 1 to a couple. Read here more about how to build a trading strategy part 1 and part 2. ESTABLISHING THE TREND. Establishing the trend is an important factor for the above process.

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One Minute Candlestick Trading Strategy

The 1 Minute Scalping Strategy (Pullback Mode On ... TheBinary Destroyer 2,452 views. 14:31. Trading 1 minute candlestick chart for beginners - Duration: 34 ... 50 SMA Forex Strategy ... How to analyse candlestick chart- 1 minute candlestick live trading 2017 part-1 - Duration: ... 10 Pips A Day - Forex Strategy - Duration: 30:34. Jay Take Profits 459,616 views. My full review on 1 min scalping strategy by kouleefx. Yes it takes time to understand this forex strategy and no i would not use this strategy anymore. Naked Forex is where its at now. for more ... I created this video with the YouTube Slideshow Creator (https://www.youtube.com/upload) 1 Min Easy Forex Scalping Strategy,forex scalping system ,binary opt... forex 1 minute strategy, forex 1 minute scalping system, forex 1 min scalper trading, mt4 1min trading, ... Live Scalp Trade on the DAX 1 minute chart (10th July) - Duration: 9:38.