- Short-Term stock price's up & down prediction
- Long-Term stock price's movement
- Trading Bot Backtesting
- Stop Loss Monitoring
Register your interested stock, and manage with data that program provides.
Using Densed RNN algorithms, based on log-return profit, you can seize tomorrow stock prices' up & down.
Using DNN algorithm, its flow chart infected many other indexes, stocks.
You can thrive you portfolio more profitable and be acknowledged about prices a few months later.
Your main trading algorithm consisted of different agent that works interdependent. Furthermore backtest your RL-model with specific days, you can measure your model works well.
- Symbol : what stock you want to train.
- Lags : previous days referenced by the model.
- Episodes : model's training cycle.
- Train Days : previous days that model will train.
- Interval : update interval of stock price.
- Holding : Your one of your agent is for prevent trading while sideway market.
- Trading : Other agents, interact each other, trade a stock.
1 minute interval candle stick graph, bollinger bands supported.
- CUDA: 12.4
- Python: 3.9.12
- Keras: 2.15.0
- numpy: 1.26.3
- pandas: 1.4.2
- PyQt5: 5.15.10
- pyqtgraph: 0.13.3
- tensorflow: 2.15.0
- yfinance: 0.2.36