Python Trading Algorithm

I am looking for a coder or a professional trader that has hands on experience in the financial Market, that can help me take my trading strategy to the next level.

Problem Definition Use Case :

- My existing system relies heavily on Talib and Stockstats python modules. I am currently looking for someone that can help me create all the necessary modules so I can stop depending on them.

- With my current system, sometimes I enter a trade way too early , and the price keeps going down so my SL is activated. Eventually, it will turn around and go where we expected the price to go initially.

- On other occasions, I enter the trade in a timely fashion but leave way too early, leaving money on the table.

Requirements :

1. Download OHLC stock information from Yahoo Finance ( Done ).

2. For each Stock Ticker, create a data frame and populate an excel with all necessary calculations and technical indicators. ( SMA, EMA, MACD, RSI , Ichimoku, Keltner, OBV, CandleStick Pattern, etc.)

3. Use deep learning algorithms and pattern recognition to create Buy, Sell , Hold Signals with recommended entry and recommended exit signals, stop loss, and Confidence Interval to another excel sheet.

4. Keep a log and update it for each Signal triggered :

ex. For each Buy Signal, log the date when we first entered the position, and the Sell Signal, when we exit the position and P/L% made and how many days we were on the position.

Expected Result :

The Ideal Trading Strategy / Algorithm should make Decisions based on Technical analysis, or Pattern recognition, and for each Signal Risk-Reward ratio should be at minimum 1:2.


Strategy 1

Trendline breakout or Momentum Indicators with increasing volume, and take advantage of individual swings or longer positions until there is a change in trend.

Strategy 2

Channel trading system which can be trend line channels or some types of bands ( Keltner, BB etc )


The back-test will be done against 5 random US Stocks 5 Mexican Stocks and 5 Indian Stocks.

For the system to be considered successful, it should give annual Return ~30%.

Important Notes:

- Most of the above pattern recognition , technical indicators are already available in Talib and Stockstats.

- Examples of some work you have done on Machine Learning Trading Strategy Systems.

- Proof of other algorithms similar to this project (own made)

- Weekly updates should be given on project status / progress.

- Please bid the actual cost estimate for this work. No price negotiating will be done nor accepted after assigning project.

Looking forward to your bidding

Beceriler: Algoritma, Matematik, Python, Yazılım Mimarisi, İstatistik

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İşveren Hakkında:
( 0 değerlendirme ) Guadalajara, United States

Proje NO: #19041735

Bu iş için 18 freelancer ortalamada $648 teklif veriyor


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Hi, I am an MSc majored in mathematics. (Probability and Statistics) I have deep understandings of trading algorithms. I have developed many EAs, Indicators and account authentication systems in MT4/5, Ninja Trader Daha Fazla

$600 USD in 10 gün içinde
(104 Değerlendirme)

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Python Trading Programming. I'm really confident about your project, and very eager to join your project. If we hav Daha Fazla

$600 USD in 10 gün içinde
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Hi there, I have checked the details I have great experience with Python & Trading. Please start the chat so we can discuss this job more in detail. Thanks

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