QlibQlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
Stars: ✭ 7,582 (+39805.26%)
portfoliolabPortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
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ResearchNotebooks based on financial machine learning.
Stars: ✭ 714 (+3657.89%)
DarwinexlabsDatasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
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Financial Machine LearningA curated list of practical financial machine learning tools and applications.
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Abu阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
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FinRL PodracerCloud-native Financial Reinforcement Learning
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ElitequantA list of online resources for quantitative modeling, trading, portfolio management
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MlfinlabMlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
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OptimalportfolioAn open source library for portfolio optimisation
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AialphaUse unsupervised and supervised learning to predict stocks
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ml monoreposuper-monorepo for machine learning and algorithmic trading
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PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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Quant TradingPython quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
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IntroneuralnetworksIntroducing neural networks to predict stock prices
Stars: ✭ 486 (+2457.89%)
Zvtmodular quant framework.
Stars: ✭ 1,801 (+9378.95%)
MoonshotVectorized backtester and trading engine for QuantRocket
Stars: ✭ 88 (+363.16%)
QuantCodera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API
Stars: ✭ 104 (+447.37%)
Stock.indicatorsStock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.
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TuringtraderThe Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.
Stars: ✭ 132 (+594.74%)
Quant-FinanceSome notebooks with powerful trading strategies.
Stars: ✭ 42 (+121.05%)
AutoTraderA Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
Stars: ✭ 227 (+1094.74%)
Quantitative NotebooksEducational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
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51bitquant51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
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QtpylibQTPyLib, Pythonic Algorithmic Trading
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Quant Finance ResourcesCourses, Articles and many more which can help beginners or professionals.
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QuantResearchQuantitative analysis, strategies and backtests
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TaiA composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
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QuantdomPython-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
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Subreddit AnalyzerA comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.
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Ta LibPython wrapper for TA-Lib (http://ta-lib.org/).
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Go Finance⚠️ Deprecrated in favor of https://github.com/piquette/finance-go
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ColorcetA set of useful perceptually uniform colormaps for plotting scientific data
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TdameritradePython interface to TD Ameritrade (https://developer.tdameritrade.com)
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Stock analysis for quantDifferent Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
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ChartpyEasy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
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PeregrineDetects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
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Pywaffle🧇 Make Waffle Charts in Python.
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StocksharpAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
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GeminiBacktesting for sleepless cryptocurrency markets
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Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
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Stock Analysis EngineBacktest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stars: ✭ 605 (+3084.21%)
Pyheatpprofile + matplotlib = Python program profiled as an awesome heatmap!
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OptopsyA nimble options backtesting library for Python
Stars: ✭ 373 (+1863.16%)
TickgrinderLow-latency algorithmic trading platform written in Rust
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Algo CoinPython library for algorithmic trading cryptocurrencies across multiple exchanges
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QtraderReinforcement Learning for Portfolio Management
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QuantstatsPortfolio analytics for quants, written in Python
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Awesome QuantA curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Stars: ✭ 8,205 (+43084.21%)
Youtube Report📊 Generate a personal YouTube report from your Google Takeout data
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Vapeplotmatplotlib extension for vaporwave aesthetics
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