Tr4der
Unverified ML strategy on Indices by smullins998. BotFinder score 18 out of 100.
Backtesting Library for Strategy Ideation
Source: github
BotFinder analysis pending.
Tr4der
Backtesting Library for Quantitative Strategy Ideation Tested on Python 3.10 and later Tr4der is an algorithmic trading library for quantitative strategy ideation. Using natural language, you can easily generate and backtest trading strategies for specific stocks and ETFs. Tr4der will parse the user's input, retrieve the data, execute code to filter the data, then apply the trading strategy that the user specifies. All of the data is persisted on disk and can be accessed and modified at will. Installation 1. Install the package 2. Set your OpenAI API key Usage Examples of valid prompts: - "I want to pair trade UBER and LYFT over the past 5 years" - "Go long on the top 5 PE stocks in the Nasdaq" - "Short the bottom 3 PE stocks in the S&P 500" - "I want to use a K-nearest neighbors model to trade LYFT stock since their IPO to now" - "I want to use mean reversion with bollinger bands to trade GOOGL for the past 10 years" A plot of the strategy will appear in your console. Supported Strategies Most of these strategies are: 1. Custom implementations of simple strategies (buy & hold) 2. Cu
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Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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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)