Improve existing Reinforcement Learning Model in Python and Connect to Ninjatrader (code will be provided)

*Please only bid if you have experience with implementing Trading Algorithms*

The current model works from training the agent to placing live trades in Interactive Brokers (IB) through IBridgePy, with following attributes:

Actions: Buy, Sell, Hold

States: Long, Short, Flat

A State can transition in the following ways:

Flat to Long/Short by taking Buy/Sell Actions respectively, by Buying/Selling at market

Long/Short to Flat by taking Sell/Buy Actions respectively by Selling/Buying at market

At State transition, a reward is returned

State does not transition or the subsequent actions are same:

Long/short state does not change if action is Buy/Sell respectively or Hold


1.) Ensemble:

Setup the model as ensemble learning model

[login to view URL]

2.) Session Time/Economic Calendar:

Trades will be taken during defined session times(RTH, ETH)

Economic calendar will be checked prior to entering a trade or going flat ahead of economic event

3.) Swing Calculation:

Prior to the start of each session, calculate the most occurring swing size (mode) on a given timeframe for the previous n number of sessions. This will be implemented using zig-zag logic

4.) Add Target, Stop-Loss and Break Even(BE) Logic

Target/SL/BE logic will be implemented

Value for Target/SL will be determined by swing calculation

Additional trade metrics will be calculated (time in trade and drawdown) and will be passed to reward function for calculation

5.) Feature Engineering

Custom indicators will be created based on zig-zag to mark wick on swing high/low candles and fed as a feature to the Model. When price re-visit the previous swing high/low, the indicator will display 1 otherwise 0

Create features based on instrument other than trading instrument (Trading ES, create additional features for NQ, YM, Bonds, etc)

6.) NinjaTrader Integration

Place orders with OCO

Able to run the in re-play mode for back-testing

7.) Program Structure:

Setup modular structure; model can be separated from Ninjatrader and configured with other system

Instrument file with information on tick value, size, etc

Evner: Python, C# Programmering, Machine Learning (ML)

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Om arbejdsgiveren:
( 0 bedømmelser ) Frisco, United States

Projekt ID: #29055367

14 freelancere byder i gennemsnit $1218 timen for dette job


hi...i m experienced in machine learning and implementing reinforcement learning....i would love to work on this interesting project with you. lets discuss in detail....thanks

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Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Flere

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$835 USD in 15 dage
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We have more than 10 years experience doing projects in Machine learning, Reinforcement learning and also payment network. In addition we developed some projects of reinforcement learning in C# and python. So we Flere

$800 USD in 15 dage
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Hello, Thanks for posting, I read your description carefully. We already working on 2 reinforcement learning projects, one is AWS deepRacer and other is using RL to decide over delivery and under delivery of ad campa Flere

$1125 USD in 6 dage
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Hello, Sir. I read your opinion seriously. Working experience with [login to view URL] api for tradding. please share I can help here. I have experience of 7 years and done similar projects in done similar projects before. Flere

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