Improve existing Reinforcement Learning Model in Python and Connect to Ninjatrader (code will be provided)
Bütçe $750-1500 USD
*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
Enhancements:
1.) Ensemble:
Setup the model as ensemble learning model
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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
Bu iş için 14 freelancer ortalamada $1218 teklif veriyor
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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