Quant Engine
CommunityAI-powered quantitative trading strategies.
Finance & Accounting#momentum#backtesting#quantitative finance#trading#cryptocurrency#arbitrage#mean reversion
Authorkayzaa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides access to sophisticated quantitative trading algorithms and backtesting capabilities, democratizing Wall Street-level financial strategies for individual traders and developers.
Core Features & Use Cases
- Statistical Arbitrage: Identifies and trades cointegrated asset pairs using techniques like pairs trading and mean reversion on spreads.
- Momentum Strategies: Implements various momentum scans and ranking to identify trending assets.
- Mean Reversion: Utilizes Bollinger Bands and RSI to detect and trade price reversals.
- Backtesting: Offers a robust engine to test strategy performance on historical data.
- Use Case: A user can ask the engine to find cointegrated pairs among a list of cryptocurrencies, scan for top momentum stocks, or backtest a mean reversion strategy on BTC/USDT.
Quick Start
Use the quant_engine skill to find cointegrated pairs among BTC, ETH, and SOL.
Dependency Matrix
Required Modules
numpypandasscipystatsmodelsscikit-learnasyncio
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Quant Engine Download link: https://github.com/kayzaa/k.i.t.-bot/archive/main.zip#quant-engine Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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