Kacper-Pietkun/Stock-Trading-With-Neat-Algorithm
Stock trading based on MACD indicator, using NEAT and naive algorithm
This project helps a stock market trader or investor simulate automated stock trading strategies. It takes historical S&P 500 stock data, applies the MACD indicator, and simulates trades using two different algorithms (NEAT and a naive approach) to show potential outcomes. The output helps evaluate the profitability of these automated trading methods.
No commits in the last 6 months.
Use this if you are an investor or trader looking to understand the potential of using technical indicators and evolutionary algorithms for automated stock trading on historical S&P 500 data.
Not ideal if you need a real-time trading bot or a tool for highly complex, multi-factor financial modeling beyond simple MACD signals.
Stars
33
Forks
14
Language
Python
License
—
Category
Last pushed
Feb 08, 2022
Commits (30d)
0
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