binance-algotrading
Unverified ML strategy on Crypto by philipzabicki. BotFinder score 18 out of 100.
Collection of personal tools used for strategies analysis and algorithmic trading on Binance exchange.
Source: github
BotFinder analysis pending.
binance-algotrading
binance-algotrading [README in progress...] This repository is a collection of personal tools designed for strategy analysis and algorithmic trading on the Binance exchange. The whole project is written entirely by me in my free time. The main objective of this repository is to get historical data from exchange, utilize them for creating and evaluating trading strategies, and ultimately deploy those strategies for live automatic trading on the exchange. I employ technical analysis approaches to develop trading strategies. Genetic Algorithm Parametrization: Utilizes a genetic algorithm to optimize common technical analysis indicators and other trading variables (e.g., stoploss). This approach aims to enhance the performance of trading strategies through evolutionary optimization. Requirements Pre-requirements Whole project runs with python 3.11.9, but it should work fine with any 3.11.x version. Before installing TA-lib via pip you need to satisfy dependencies. Just follow this TA-Lib. Otherwise, you can download this file talib-0.4.25-cp311-cp311-winamd64.whl( TA-lib for python 3.11.
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)