#jupyter_notebook #artificial_intelligence #data_science #finance #investment #investment_strategies #machine_learning #reinforcement_learning #trading

https://github.com/stefan-jansen/machine-learning-for-trading

#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 #asset_allocation #convex_optimization #cvar_optimization #cvxpy #drawdown_model #duration_matching #finance #investment #loadings_matrix #lower_partial_moments #portfolio_optimization #principal_components_regression #risk_contribution #risk_factors #risk_measures #risk_parity #sharpe_ratio #stepwise_regression #trading

https://github.com/dcajasn/Riskfolio-Lib

#java #eclipse #financial #investment_portfolio #portfolio #portfolio_performance #stocks

https://github.com/buchen/portfolio

#python #aws #docker #echarts #investment #nextjs #postgresql #reactjs #serverless #sqlite #sqljs #tailwindcss #terraform #tushare

https://github.com/bmpi-dev/invest-alchemy

#jupyter_notebook #finance #fintech #investment_strategies #jupyter_notebook #machine_learning #python #pytorch #quantitative_trading #reinforcement_learning #stock_market #trading_platform

https://github.com/TradeMaster-NTU/TradeMaster

#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 #artificial_intelligence #crypto #cryptocurrency #economics #finance #hacktoberfest #investment #investment_research #machine_learning #openbb #python #quantitative_finance #stocks

The OpenBB Platform is a free and fully open-source financial platform that gives you access to a wide range of financial data, including equities, options, crypto, forex, and more. It offers a command-line interface and various extensions to enhance your experience. You can install it easily using `pip install openbb` or by cloning the repository. The platform also includes an AI financial analyst agent and a professional terminal version. This helps you make informed financial decisions with comprehensive data and tools, all while being free and community-driven.

https://github.com/OpenBB-finance/OpenBB

#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 #bloomberg_terminal #contributions_welcome #finance #financial_markets #foss #good_first_issue #help_wanted #investing #investment #investment_research #machine_learning #opensource #python #quantitative_finance #stock_market #stocks

Fincept Terminal v4.0.2 is a free, open-source (AGPL-3.0) native C++20 desktop app with Qt6 UI and Python analytics, offering CFA-level tools like DCF models, portfolio optimization, risk metrics, 37 AI agents (Buffett-style to geopolitics), 100+ data connectors (Yahoo, FRED, brokers), real-time crypto/equity trading via 16 brokers, QuantLib suite, node editor workflows, and global intelligence. Download installers for Windows, Linux, macOS from GitHub releases or build easily with scripts/Docker. It benefits you by delivering Bloomberg-class performance in one fast binary, unlimited data access, and pro analytics to boost trading decisions and research without limits or high costs.

https://github.com/Fincept-Corporation/FinceptTerminal

#python #investment #quant #quantitative #quantitative_finance #trading

FinHack is a flexible tool for quantitative finance that helps with data collection, factor research, machine learning, strategy building, backtesting, and live trading. It is useful because it can save time, support different markets, and let you test ideas faster with tools for A-shares, U.S. stocks, futures, and crypto, plus multi-process speed and custom rules.

https://github.com/FinHackCN/finhack