https://github.com/algoboy-kevin/rl-trading-notebook
Repositroy for my RL trading using stablebaselines model
https://github.com/algoboy-kevin/rl-trading-notebook
python stablebaselines3 tensorflow
Last synced: about 1 month ago
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Repositroy for my RL trading using stablebaselines model
- Host: GitHub
- URL: https://github.com/algoboy-kevin/rl-trading-notebook
- Owner: algoboy-kevin
- Created: 2025-03-18T04:25:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-18T05:37:44.000Z (about 1 year ago)
- Last Synced: 2025-03-18T06:32:16.753Z (about 1 year ago)
- Topics: python, stablebaselines3, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 155 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Reinforcement Learning Trading Notebook
This repository contains step by step process training RL for trading cryptocurrencies. Please note that most of this project is currently being migrated from private repo to here. There are three main notebooks:
1. **Data** – Generating data for testing via binance download or sythethic data.
2. **Train** – Related to model training with varying training method
3. **Test** – Validate model accuracy
## Overview
## Installation
To use these notebooks, you will need:
- Python 3.10 (or later)
- Jupyter Notebook
- Stablebaselines
- Tensorflow
Additionally, make sure to clone the Binance public data repository into this folder:
```bash
git clone https://github.com/binance/binance-public-data.git
```
## Objective
To find a trading setup using reinforcement learning
## Todo
Book 1 - Data
- [ ] Migrate sinewave script from private repo
- [ ] Generate complete data traing set: sinewave, sideways, real data
Book 2 - Train
- [ ] Complete training script for each training data
- [ ] Display tensorboard graphs on notebook (fitness level)
Book 3 - Test
- [ ] Create evaluate script