deep tradingThis project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.
Stars: ✭ 18 (-98.55%)
QuantmodQuantitative Financial Modelling Framework
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pyjuque⚡ Open Source Algorithmic Trading Bot for Python.
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SurpriverFind big moving stocks before they move using machine learning and anomaly detection
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robinhood.tools📈🤑💰 Advanced trading tools and resources for Robinhood Web.
Stars: ✭ 27 (-97.82%)
Go Finance⚠️ Deprecrated in favor of https://github.com/piquette/finance-go
Stars: ✭ 536 (-56.81%)
SharkShark is an open source algorithmic trading platform. It alerts traders to specific items of interest and can execute trades based on those interests.
Stars: ✭ 19 (-98.47%)
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 (-51.25%)
Crypto SignalGithub.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
Stars: ✭ 3,690 (+197.34%)
Pandas Ml QuantMaster repository for the pandas-ml modules
Stars: ✭ 40 (-96.78%)
QlnetQLNet C# Library
Stars: ✭ 252 (-79.69%)
Strata Open source analytics and market risk library from OpenGamma
Stars: ✭ 598 (-51.81%)
sharpesharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinforcement learning) in the context of quantitative trading
Stars: ✭ 33 (-97.34%)
Ta LibPython wrapper for TA-Lib (http://ta-lib.org/).
Stars: ✭ 6,034 (+386.22%)
SibylPlatform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks
Stars: ✭ 32 (-97.42%)
RedtorchJava开源量化交易开发框架
Stars: ✭ 528 (-57.45%)
HistoricalVolatilityA framework for historical volatility estimation and analysis.
Stars: ✭ 22 (-98.23%)
turingquantNo description or website provided.
Stars: ✭ 19 (-98.47%)
Robin stocksThis is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
Stars: ✭ 967 (-22.08%)
piker#nontina, #paperhands,, #pwnzebotz, #tradezbyguille
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
Stars: ✭ 60 (-95.17%)
Black-Scholes-Option-Pricing-ModelBlack Scholes Option Pricing calculator with Greeks and implied volatility computations. Geometric Brownian Motion simulator with payoff value diagram and volatility smile plots. Java GUI.
Stars: ✭ 25 (-97.99%)
FinancialToolbox.jlUseful functions for Black–Scholes Model in the Julia Language
Stars: ✭ 31 (-97.5%)
PortbalanceDetermine optimal rebalancing of a passive stock portfolio.
Stars: ✭ 31 (-97.5%)
GeminiBacktesting for sleepless cryptocurrency markets
Stars: ✭ 497 (-59.95%)
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Stars: ✭ 47 (-96.21%)
freqtradeAutomatically deploy freqtrade to a remote Docker host and auto update strategies.
Stars: ✭ 78 (-93.71%)
QuantsbinQuantitative Finance tools
Stars: ✭ 74 (-94.04%)
Deep HedgingDeep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Stars: ✭ 30 (-97.58%)
PandapyPandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
Stars: ✭ 474 (-61.8%)
MFLLUse fuzzy logic control with PL/EL in MultiCharts
Stars: ✭ 19 (-98.47%)
PylivetraderPython live trade execution library with zipline interface.
Stars: ✭ 470 (-62.13%)
qwackA modern quantitative finance framework that makes the complex simple
Stars: ✭ 18 (-98.55%)
support resistance lineA well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线
Stars: ✭ 53 (-95.73%)
Trading With MomentumImplement a momentum trading strategy in Python and test to see if it has the potential to be profitable
Stars: ✭ 28 (-97.74%)
AlgotraderSimple algorithmic stock and option trading for Node.js.
Stars: ✭ 468 (-62.29%)
AlgoTradingSummitVideos, slides, and code made available by speakers of the 2021's AlgoTrading Summit
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JesseAn advanced crypto trading bot written in Python
Stars: ✭ 1,038 (-16.36%)
Tic💠 TIC: Crypto Liquidity Integrator
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tdameritradeclientA very simple api request client accessing TD Ameritrade API built in rust.
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AltoTraderAutomated crypto currency trading bot
Stars: ✭ 29 (-97.66%)
okamaInvestment portfolio and stocks analyzing tools for Python with free historical data
Stars: ✭ 87 (-92.99%)
TdameritradePython interface to TD Ameritrade (https://developer.tdameritrade.com)
Stars: ✭ 427 (-65.59%)
QuoraBooksA GitHub repo for Quant Finance resources
Stars: ✭ 17 (-98.63%)
storageMulti-Factor Least Squares Monte Carlo energy storage valuation model (Python and .NET).
Stars: ✭ 24 (-98.07%)
Awesome Ai In Finance🔬 A curated list of awesome machine learning strategies & tools in financial market.
Stars: ✭ 910 (-26.67%)
StocksharpAlgorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Stars: ✭ 4,601 (+270.75%)
docsNo description or website provided.
Stars: ✭ 16 (-98.71%)
PyFENGPython Financial ENGineering (PyFENG package in PyPI.org)
Stars: ✭ 51 (-95.89%)
SystemicriskA framework for systemic risk valuation and analysis.
Stars: ✭ 72 (-94.2%)
Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
Stars: ✭ 50 (-95.97%)
VectorbtUltimate Python library for time series analysis and backtesting at scale
Stars: ✭ 855 (-31.1%)
OptopsyA nimble options backtesting library for Python
Stars: ✭ 373 (-69.94%)
ib dlHistorical market data downloader using Interactive Brokers TWS
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