trend-following

Backtesting & live trading engine built for AI agents. Zipline rebuilt on Polars with a native MCP server for Claude, Cursor & Codex. Stocks, ETFs, futures.

MT5 Live Trend Direction Signal Hub 2026 – Real-Time Forex & CFD Alerts

X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies

Automated stock screener scanning 3,800+ stocks daily for confirmed Stage 2 uptrends passing 8 strict criteria. Features: smart caching (74% fewer API calls), market regime filtering, automated stop-loss calculation, and GitHub Actions automation. Follows Mark Minervini's Trend Template.

The 10-line CTA: a trend-following strategy in ten lines of code, and four refinements measured in Sharpe ratio, kurtosis and trading costs

Automated Python implementation of a Mount Lucas Management (MLM) style trend-following strategy for futures using the IBKR API (ib_insync). Calculates 200-day MA signals on Continuous Futures, filters trades by volatility, and executes on front-month contracts.

Closed-form trend-following analytics, reference system implementations, and reproducible futures evidence in Python for quantitative researchers and practitioners

Advanced trend detection and labelling for time series with Python

A high-precision trend-following indicator and trading strategy for MetaTrader 5 (MT5). Features dynamic volatility filtering, no-repaint signals, and automated risk management.

Production-grade Freqtrade fork for algorithmic trading on Hyperliquid. Multi-bot OHLCV/pairlist caching, PlateauSampler hyperopt, walk-forward with CPCV, custom hyperopt losses, liquidation detection, 32+ enhancements. Includes showcase strategies. Maintained by Freqtrade France.

Building blocks for trend-following CTA strategies: scale-free oscillators, volatility-adjusted returns, matrix shrinkage and a position engine

Simple btc trend following algorithm, using cbpro api.

Discover the trading in Python with many strategies, including deep learning approaches. TradingInPython is an open software platform that empowers traders with advanced tools for stock market analysis and trading strategies. Leverage data-driven insights and automate your trading decisions with an open, flexible solution.

Modular Python scaffold for systematic trend-following/managed-futures research: validates multi-asset futures data, builds continuous contracts, runs configurable backtests via CLI/API, simulates trading costs and rolls, and delivers institutional-grade analytics and reports.

Trend-following Expert Advisor for XAUUSD built in MQL5 — ATR-based risk management, FTMO-compliant circuit breakers, 4-year backtest

EMA-VWAP crossover trading strategy in Python

A Python-based framework for back testing, optimizing and identifying cryptocurrency trading strategies using historical data.

Do more than HODL. Simulate hedge-fund-like trend following strategies on popular crypto coins.

日线技术信号观察：33个指标条目、文字形态和量价线索，汇总偏多、偏空及分歧供自主判断；支持A股/港股/美股、Markdown/JSON与含费用回测。有效性未验证。