机器学习与深度学习模型时间序列预测包
- Language
- Python
- Stars
- 117
- Forks
- 3
- Licence
- GPL-3.0
- Latest push
- 2026-05-03
The business of foreign exchange
Frameworks for testing trading strategies on historical data.
1,763 repositories · facts retrieved 2026-11-05
机器学习与深度学习模型时间序列预测包
Backtesting toolbox for trading strategies
Trade Algorithmically using Zerodha's API
Implementation of Trading Strategies for Backtesting in TradingView
PyTorch ML quant research: 213 factors, bias correction, portfolio optimization, backtesting, and System-One/Jev-style decisions.
Sub-microsecond bare-metal execution engine with deterministic replay, lock-free order path, and hardware-timestamped latency measurement.
A-share ETF rotation research and backtesting platform with walk-forward, vectorized, and event-driven validation.
Production multi-asset portfolio construction and rolling backtesting in Python
Python 开源量化框架: 覆盖“研究、回测、交易”全生命周期,构建从零到实盘的工业级量化闭环工作流。
SimTradeData is a utility library supporting SimTradeDesk, SimTradeLab and simtradeML with reliable, high-quality simulated trading data for model training, backtesting, and performance evaluation.
High-performance limit order book engine with C++ core and Python SDK. Processes 20M+ msgs/sec with µs latency. Supports real crypto/equity data replay, spread/imbalance/impact analytics, and…
Demeter is a blockchain backtesting tool that supports trading types such as swaps, liquidity provider, lending, and options. It is compatible with markets including Uniswap, GMX, Aave, Deribit, and…
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
High performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust
Some examples for Backtrader. Showcases for indicators, run backtests, get historical data for shares, live trading and more...
低代码的 A 股量化回测工具 · Low-code quant backtesting for China A-shares
An online quant system for backtest and trade.
AI agent skill (Claude Code / Codex) for deterministic K-line structure analysis of A-shares, HK & US stocks: triple-barrier risk plans, 15-day normal volatility range, no-lookahead backtest, JSON +…
The Self-Evolving Agent Ecosystem — Trading agents that evolve through Darwinian selection and adversarial self-play
algo trading backtesting on BitMEX
Leveraged Futures Exchange for Simulated Trading
The toolbox for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms.
a trading strategy trainer, back-tester and bot
Holdings exposure, what-if scenarios, cost and capacity, backtest checks, and published research.
AI-powered backtesting framework for Claude Code - from idea to live trading in one workflow. 21 commands, 4 exchanges, macro data via MCP.
Backtesting engine written in Rust
Practical financial data science examples applying statistics, time series analysis, graph analytics, backtesting, machine learning, natural language processing, neural networks and LLMs
Free, open source trading terminal. Agentic IDE for Python strategies and backtests. LSE market data integrated; connects to other data providers and brokers.
Automated Backtesting of Portfolios over Multiple Datasets
An iteration research agent: searches academic research, applies it to time series data, and probes it to find novel discoveries.
MOEX API AlgoPack integration with Backtrader. На данных с биржи MOEX теперь можно создавать полноценные торговые стратегии. Проводить Backtesting и делать Live торговлю через брокеров Алор, Финам и…
Algorithmic trading and backtesting framework in pure julia
All-in-one. Trading terminal with generic gateway implementation, tick backtester, charting, and performance evaluator for trading strategies.
🦞 AI 量化交易系统 — 37 因子选股 · 8 层风控 · 同花顺数据大屏 · 全自动盯盘
A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable…
Open-source AI trading signal engine with a public, inspectable outcome ledger. Our own signals lose money on average after modeled costs — we publish every row anyway. Multi-timeframe TA…
Agent skills for Machine Learning for Algorithmic Trading: leakage-safe quant ML, backtesting, validation, and autonomous research workflows.
Multi-market stock analysis, screening & backtesting plugin for AI agents — 39 tools + 20 strategy skills across A/HK/US/JP/KR/TW markets, works with Pi Agent, Hermes, OpenClaw & Deepseek Harness
stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
ANTA: Ultra-fast, zero-C technical analysis, WorldQuant alpha factors & vectorized backtesting library for Polars.
众人的因子回测框架 stock factor test
End-to-end RL trading framework with PPO agent, self-attention neural network, custom Gym environment, and advanced backtesting.
tiny backtester to backtest generated signals
Python backtesting engine built on NautilusTrader for end-to-end quant research: market data ingestion/validation, microstructure calibration, single-asset and stat-arb strategy creation…
Backtesting engine in Elixir
Provider-neutral market data adapters (CCXT, CSV, SQLite, SQLAlchemy) and a raw-PineScript backtest harness for PineForge