charliedream1Community·74 Agent Skills Included

ai_quant_trade

AI quant trading toolkit from learning to live strategies

Builds and backtests quantitative trading strategies across stocks, crypto, and futures using reinforcement learning, factor mining, and LLM models. Eliminates scattered research by bundling data connectors, alpha libraries, backtest frameworks, and broker report analysis in one place. Helps traders and developers move from learning to simulation to live deployment faster with ready-made examples and monitoring tools.

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npx skills add charliedream1/ai_quant_trade --all -g -y

All Skills in This Repository (74)

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charliedream1

harmonic

Detect XABCD harmonic price patterns in OHLCV data and generate D-point trading signals.

yfinance

Fetch global market data from Yahoo Finance without an API key.

crypto-derivatives

Analyze BTC and ETH derivatives funding rates, term structure, and option volatility.

onchain-analysis

Analyze on-chain data to compute composite crypto signals from MVRV, NVT, and SOPR metrics.

earnings-forecast

Predict EPS and compare with analyst consensus to generate SUE and PEAD signals.

quant-statistics

Automate quantitative statistics tasks for investment research time-series analysis.

okx-market

Fetch public OKX market data for tickers, candles, funding rates, and open interest.

social-media-intelligence

Aggregate sentiment from Twitter/X, Telegram, Discord, and Reddit using VADER and FinBERT.

shadow-account

Extract profitability patterns from trade journals and generate cross-market backtest reports.

edgar-sec-filings

Extract key financials, risk factors, and MD&A from SEC EDGAR filings.

web-reader

Convert web pages into clean Markdown text and return structured JSON.

ichimoku

Generate long, short, or neutral trading signals from Ichimoku indicators using pandas.

Community

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Frequently Asked Questions

FAQPage Schema

How to install ai_quant_trade?▼

Run `npx skills add charliedream1/ai_quant_trade --all -g -y` in your terminal to install all skills in this suite globally.

What can I do with ai_quant_trade?▼

You can backtest trading strategies, mine alpha factors, train reinforcement learning and LLM stock forecasters, and analyze broker research reports across A-shares, US/HK stocks, and crypto.

Does it support reinforcement learning trading?▼

Yes. It includes FinRL-based deep reinforcement learning examples with documented backtest results, plus traditional rule-based strategies like dual moving averages.

Which data sources does it support?▼

It supports Tushare, AKShare, yfinance, OKX, and CCXT, covering A-shares, Hong Kong and US stocks, futures, macro data, and cryptocurrencies.

Can beginners without coding skills use it?▼

Partially. The knowledge notes and curated resources are beginner-friendly, but running strategies and backtests requires basic Python skills.