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š š š š° Backtest trading strategies in Python.
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š š š š° Backtest trading strategies in Python.
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Free trading strategies for Freqtrade bot
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Python Backtesting library for trading strategies
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Algorithmic trading framework for cryptocurrencies.
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Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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Quant/Algorithm trading resources with an emphasis on Machine Learning
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Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
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Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-partyā¦
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A collection of agent skills for financial analysis and trading. Includes options payoff charts, stock correlation analysis, yfinance data fetching, Discord/Telegram/Twiā¦
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Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breā¦
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Zipline, a Pythonic Algorithmic Trading Library
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Research a US equity across fundamentals, valuation, technical context, peers, and current market data.
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Open-source Rust framework for building event-driven live-trading & backtesting systems
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Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.
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A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.