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We have coded and run 4,843 of these papers over their own full history. Some numbers worth knowing before you pick one to implement:

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Build, test, and deploy ML-driven trading strategies — from data sourcing to live execution.

NET. Write a strategy once and run it unchanged in backtest, paper and live trading, deterministic, with fixed-point money and adapters for Binance, Bybit, OKX, Kraken, Bitget, Gate, KuCoin and Hyperliquid.

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阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

GS Quant is a Python toolkit for quantitative finance, created on top of one of the world’s most powerful risk transfer platforms.

A Codex skill that combines multi-timeframe bias, liquidity mapping, premium/discount location, session context, displacement, market structure, and PD arrays into a strict ICT/SMC setup-validation framework.

MACD oscillator is trading strategy 101. MACD refers to Moving Average Convergence/Divergence. It is a momentum trading strategy which holds the belief that upward/downward momentum has more impact on short term moving average than long term moving average.

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

Gekko is a Bitcoin TA trading and backtesting platform that connects to popular Bitcoin exchanges. js.