https://github.com/stephanakkerman/bsc-thesis
This repository houses the code from my 2021 AI bachelor thesis. Since its submission and subsequent grading, the content remains unchanged.
https://github.com/stephanakkerman/bsc-thesis
Last synced: 12 months ago
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This repository houses the code from my 2021 AI bachelor thesis. Since its submission and subsequent grading, the content remains unchanged.
- Host: GitHub
- URL: https://github.com/stephanakkerman/bsc-thesis
- Owner: StephanAkkerman
- License: mit
- Created: 2021-04-14T10:34:35.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2023-08-07T15:30:51.000Z (almost 3 years ago)
- Last Synced: 2025-03-18T07:32:09.133Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 20.5 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 2021 AI Bachelor's Thesis
> **Note**
> For the most recent version of this codebase, please visit [tensortrade](https://github.com/StephanAkkerman/TensorTrade) on GitHub.
## Main Program (main.py)
The heart of this project, main.py integrates reinforcement learning with the other scripts found in this repository.
## BinanceData
A straightforward script dedicated to data collection using Binance's API.
## Benchmark_Comparison
Evaluate the performance of the reinforcement learning agent by contrasting its output with established benchmarks, including:
- Buy and Hold
- RSI Divergence
- SMA Crossover
## TACorrelation
Generate a heatmap that visualizes the absolute correlation among technical analysis indicators within the same group.