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Search: backtest
Page 8
Showing 10 results from 817
moss-site/moss-trade-bot-skills
GitHub Python MIT No AttributionLLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self-evolving, configurable through 30+ tunable parameters, and bit-exact between backtest and live execution. Built for simulated H... Read more
External source
GitHub
happydasch/btplotting
GitHub Python GNU General Public License v3.0btplotting provides plotting for backtests, optimization results and live data from backtrader.
External source
GitHub
abbass2/pyqstrat
GitHub Jupyter Notebook BSD 3-Clause "New" or "Revised" LicenseA fast, extensible, transparent python library for backtesting quantitative strategies.
External source
GitHub
hummingbot/dashboard
GitHub Python Apache License 2.0Application that helps you create, backtest, deploy, and manage Hummingbot instances
External source
GitHub
Hitheshkaranth/OpenTerminalUI
GitHub TypeScript MIT LicenseOpenTerminalUI β a trading terminal UI for market data, charting, screening, backtesting, and alerts.
External source
GitHub
richkuo/go-trader
GitHub Go MIT LicenseCrypto trading bot β backtesting, paper trading, live trading with risk management
External source
GitHub
lukstei/trading-backtest
GitHub Java MIT LicenseA stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
External source
GitHub
deshwalmahesh/NSE-Stock-Scanner
GitHub Jupyter NotebookNational Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free ... Read more
External source
GitHub
kay-ou/SimTradeLab
GitHub Python GNU Affero General Public License v3.0SimTradeLab is an open-source backtesting framework inspired by PTradeβs event-driven architecture. It features a lightweight, modular design and full syntax compatibility, enabling seamless strategy development and validation.
External source
GitHub
gameworkerkim/vibe-investing
GitHub HTMLAI-powered Vibe Investing for NASDAQ, S&P500 & crypto: LLM quant trading tools, multi-agent backtesting, and data-driven market columns (mNAV arbitrage, BTC-Nasdaq coupling, Alpha Arena). λ―Έκ΅ μ£ΌμΒ·κ°μνν AI ν¬μ νλ μ΄μ Β·μΉΌλΌΒ·νΈλ μ΄λ© λ΄.
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GitHub
10 results on this page Β· 817 total found
Showing first 817 accessible GitHub results.