# FinRL-Tutorials

**Repository Path**: quicksands/FinRL-Tutorials

## Basic Information

- **Project Name**: FinRL-Tutorials
- **Description**: No description available
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-07-24
- **Last Updated**: 2024-07-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<div align="center">
<img align="center" src=https://github.com/AI4Finance-Foundation/FinRL/blob/master/figs/FinRL_Tutorials.png>
</div>

**Mission**: creating hundreds of user-friendly demos.

Note that we provide tutorials for [FinRL-meta](https://github.com/AI4Finance-Foundation/FinRL-Meta/tree/master/tutorials) and [FinRL](https://github.com/AI4Finance-Foundation/FinRL/tree/master/tutorials).


## File Structure

### **1-Introduction**		
**notebooks for beginners, introduction step-by-step**

+ **FinRL_StockTrading_NeurIPS_2018:** first tutorial notebook that trades Dow 30 using 5 DRL algorithms.
+ **FinRL_PortfolioAllocation_NeurIPS_2020:** provides basic settings to do portfolio allocation on Dow 30.
+ **FinRL_StockTrading_Fundamental:** merges fundamental indicators in earnings reports such as 'ROA', 'ROE', 'PE' with technical indicators.

### **2-Advance**
**notebooks for intermediate users**

+ **FinRL_PortfolioAllocation_Explainable_DRL:** this notebook uses an empirical approach to explain the strategies of DRL agents for the portfolio management task. 1) it uses feature weights of a trained DRL agent, 2) histogram of correlation coefficient, 3) Z-statistics to explain the strategies.
+ **FinRL_Compare_ElegantRL_RLlib_Stablebaseline3:** compares popular DRL libraries, namely ElegantRL, RLlib and Stablebaseline3.
+ **FinRL_Ensemble_StockTrading_ICAIF_2020:** uses an ensemble strategy to combine multiple DRL agents to form an adaptive one to improve the robustness.

### **3-Practical**
**notebooks for users to explore paper trading and more financial markets**
+ **FinRL_PaperTrading_Demo:** paper trading using FinRL through Alpaca.
+ **FinRL_MultiCrypto_Trading:** trading top 10 market cap cryptocurrencies.
+ **FinRL_China_A_Share_Market:** trading on China A Share market.

### **4-Optimization**
**notebooks for users interested in hyperparameter optimizations**

### **5-Others** 
**other related notebooks**