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updated readme

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Mohammad Aghdam
2025-10-05 09:12:29 +02:00
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@@ -252,6 +252,7 @@ The `3_Backtest.ipynb` notebook evaluates all trained models and generates a com
📊 Individual model reports (PPO, A2C, DQN) are available in `notebooks/reports/`. 📊 Individual model reports (PPO, A2C, DQN) are available in `notebooks/reports/`.
To view them, download the HTML files locally for full interactivity. To view them, download the HTML files locally for full interactivity.
- **[View PPO quantstats Report](notebooks/reports/qs_ppo_EURUSD_M15.html)** - **[View PPO quantstats Report](notebooks/reports/qs_ppo_EURUSD_M15.html)**
📊 [View PPO Report (Rendered)](https://htmlpreview.github.io/?https://github.com/maghdam/Deep-Reinforcement-Learning-MT5-Bot/blob/master/notebooks/reports/qs_ppo_EURUSD_M15.html)
- **[View PPO plotly Report](notebooks/reports/plotly/plotly_ppo_EURUSD_M15.html)** - **[View PPO plotly Report](notebooks/reports/plotly/plotly_ppo_EURUSD_M15.html)**
> Note: You may need to download the HTML files to view the interactive charts. GitHub provides a static preview. > Note: You may need to download the HTML files to view the interactive charts. GitHub provides a static preview.