#jupyter_notebook #algorithmic_trading #finance #investing #jupyter_notebooks #machine_learning #python #quantitative_finance #research #trading

https://github.com/hudson-and-thames/research

#other #algorithmic_trading_engine #algorithmic_trading_library #algotrading #arbitrage_bot #awesome #awesome_list #finance #finance_api #financial_data #financial_instruments #google_finance #quant #quantitative_finance #quantitative_trading #stock_data #technical_analysis #trading_algorithms #trading_bot #trading_strategies #yahoo_finance

https://github.com/wilsonfreitas/awesome-quant

#python #ai #algorithmic_trading #eigenvalues #free_software #genetic_algorithm #hedgefund #investment_portfolio #machine_learning #opensource #portfolio_optimization #statistics #trading_algorithms #trading_strategies #tradytics

https://github.com/tradytics/eiten

#python #algorithmic_trading #auto_quant #finance #investment #machine_learning #platform #quant #quant_dataset #quant_models #quantitative_finance #quantitative_trading #stock_data

https://github.com/microsoft/qlib

#python #algo_trading #algorithmic_trading #bitcoin #bot #crypto #crypto_bot #cryptocurrency #etherum #framework #jesse #trade #trading #trading_algorithms #trading_bot #trading_strategies

https://github.com/jesse-ai/jesse

#javascript #algorithmic_trading #bitcoin_trading #bitcoin_trading_bot #bitcoin_trading_bots #bot_trading #crypto_trading #crypto_trading_algorithms #crypto_trading_bot #crypto_trading_bots #crypto_trading_strategies #cryptocurrency_trading_bot #cryptocurrency_trading_bots #cryptocurrency_trading_strategies #free #open_source #open_source_crypto_currency #open_source_crypto_trading

https://github.com/Superalgos/Superalgos

#python #algorithmic_trading #bollinger_bands #commodity_trading #macd #momentum_strategy #momentum_trading_strategy #options_strategies #options_trading #pair_trading #quant #quantimental_analysis #quantitative_finance #quantitative_trading #quantitative_trading_strategies #statistical_arbitrage #trading_algorithms #trading_bot #trading_strategies #trading_strategy #trading_systems

https://github.com/je-suis-tm/quant-trading

#python #algorithmic_trading #backtesting #crypto_bot #technical_analysis #trading_bot #trading_strategies

https://github.com/idanya/algo-trader

#python #algorithmic_trading #algotrading #alpha #arbitrage_bot #awesome #awesome_list #book #finance #futures #futures_historical_data #futures_market #futuresmarkets #paper #quant #quantitative_finance #quantitative_trading #trading_algorithms #trading_bot #trading_strategies

https://github.com/edarchimbaud/awesome-systematic-trading

#python #algorithmic_trading #arbitrage #backtesting #binance #bitcoin #bot #chatgpt #cryptocurrency #cryptocurrency_trading #cryptocurrency_trading_bot #exchange #octobot #technical_analysis #telegram #trading #trading_bot #trading_platform #trading_strategies #tradingview

https://github.com/Drakkar-Software/OctoBot

#python #algo_trading #algorithmic_trading #backtesting #backtesting_engine #backtesting_frameworks #backtesting_trading_strategies #finance #financial_markets #forex #forex_trading #framework #hacktoberfest #investing #investment #investment_strategies #stocks #trading #trading_algorithms #trading_simulator #trading_strategies

https://github.com/kernc/backtesting.py

#python #algorithmic_trading #bitcoin #cryptocurrencies #cryptocurrency #freqtrade #python #telegram_bot #trade #trading_bot

Freqtrade is a free and open-source crypto trading bot written in Python. It supports many major exchanges and can be controlled via Telegram or a web interface. You can use it to backtest your trading strategies, optimize them with machine learning, and manage your trades without risking real money in a "dry-run" mode. The bot also offers features like edge position sizing, whitelist and blacklist for cryptocurrencies, and performance status reports. This tool is beneficial because it allows you to test and optimize your trading strategies safely and efficiently, helping you make better decisions in the crypto market. However, it's important to understand how it works and to use it at your own risk.

https://github.com/freqtrade/freqtrade

#python #algorithmic_trading #auto_quant #deep_learning #finance #fintech #investment #machine_learning #paper #platform #python #quant #quant_dataset #quant_models #quantitative_finance #quantitative_trading #research #research_paper #stock_data

Qlib is an open-source platform for quantitative investment that uses AI technologies. It supports various machine learning models and helps in finding valuable signals in financial data, adapting to market dynamics, and optimizing trading strategies. Here are the key benefits Qlib introduces RD-Agent, a tool that automates factor mining and model optimization, making it easier to develop quant investment strategies.
- **Diverse Machine Learning Models** It covers the entire chain of quantitative investment, including data processing, model training, backtesting, and order execution.
- **Customizable Workflows** Qlib's data server is optimized for performance, allowing fast data processing and retrieval, which is crucial for real-time trading decisions.

Overall, Qlib simplifies the process of building and optimizing quant investment strategies, making it a powerful tool for researchers and investors.

https://github.com/microsoft/qlib

#python #algorithmic_trading_engine #artificial_intelligence #crypto_trading #equity_trading #forex #futures_trading #machine_learning #options_trading #python #rust #sports_betting #trading #trading_platform

NautilusTrader is a powerful, open-source trading platform that lets you backtest and deploy automated trading strategies easily. It combines the performance of Rust with the ease of use of Python, allowing you to write strategy code once and use it for both backtesting and live trading without changes. This platform supports multiple trading venues, asset classes, and advanced order types, making it highly flexible and customizable.

Using NautilusTrader, you can integrate with various exchanges like Binance, Interactive Brokers, and more through modular adapters. It also offers high-performance capabilities, reliability, and portability across different operating systems. The platform is designed with safety and correctness in mind, ensuring robust and reliable trading operations.

Overall, NautilusTrader simplifies the process of developing and deploying trading strategies, reducing operational risks and enhancing overall trading efficiency.

https://github.com/nautechsystems/nautilus_trader