Alternatives and similar repositories for orderbook-viz

Users that are interested in orderbook-viz are comparing it to the libraries listed below

• alexanu / Python_Trading_Snippets
  Collections of snippets for trading I find interesting
  ☆28Updated last year
• 10mohi6 / stock-pairs-trading-python
  stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
  ☆38Updated 2 years ago
• StateOfTheArt-quant / sharpe
  sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…
  ☆51Updated 4 years ago
• BananaHamm / Equity_StatArb
  Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee
  ☆25Updated 7 years ago
• sturex / pyOrderbookTrading
  Bitmex orderbooks saving + (neural) trading signal generator + backtesting etc.
  ☆35Updated 3 years ago
• bakalex / autohedger
  Paper: https://arxiv.org/pdf/2008.12275.pdf
  ☆27Updated 5 years ago
• dstreetquant / pyVWAPTradingSignalSystem
  A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal
  ☆19Updated 8 years ago
• nife8975 / Trendline_Tools
  Tools to calculate and plot support/resistance lines for OHLC datasets
  ☆26Updated 7 years ago
• jo-cho / trading-rules-using-machine-learning
  Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.
  ☆72Updated 2 years ago
• saiteja-2811 / Image-Classification-for-Trading-Strategies
  Image Classification for Trading Strategies - Project for Machine Learning Class
  ☆37Updated 4 years ago
• lamres / orderbook_modeling
  Example of order book modeling.
  ☆58Updated 6 years ago
• Git053 / Limit-Orderbook
  Limit Order Book for high-frequency trading (HFT) strategies using data science approaches
  ☆24Updated 4 years ago
• PortfolioEffect / PE-HFT-Python
  Python library for high frequency portfolio analysis, intraday backtesting and optimization
  ☆68Updated 8 years ago
• cswaney / prickle
  A Python toolkit for high-frequency trade research.
  ☆43Updated 7 years ago
• enjine-com / mcos
  Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"
  ☆57Updated 2 years ago
• MislavSag / trademl
  The goal of the project is to build algorithmic trading system.
  ☆27Updated 5 years ago
• sinusgamma / Forex-News-Trader-Dukascopy-API
  Forex news trading app built with java and Dukascopy API. Can open multiple orders and manage them during the news event. Includes strate…
  ☆13Updated 6 years ago
• MSTADreamTeam / MSTA
  Multi Strategy Trading Algorithm
  ☆47Updated 8 years ago
• riyersk / HFTrading
  Building a High Frequency Trading Engine with Neural Networks
  ☆12Updated 7 years ago
• mselser95 / optimal-market-making
  Implementation of "OPTIMAL MARKET MAKING BY REINFORCEMENT LEARNING"
  ☆29Updated 4 years ago
• vsmolyakov / fin
  finance
  ☆43Updated 8 years ago
• yazanobeidi / flow
  High frequency AI based algorithmic trading module.
  ☆73Updated 9 years ago
• lamres / pairs_trading_cryptocurrencies_strategy_catalyst
  Pairs trading strategy example based on Catalyst
  ☆49Updated 7 years ago
• ivan-vasilev / atpy
  Event-driven Algorithmic Trading For Python
  ☆26Updated 6 years ago
• StateOfTheArt-quant / trading_gym
  a unified environment for supervised learning and reinforcement learning in the context of quantitative trading
  ☆46Updated 4 years ago
• alipbcs / TSMOM
  Time-Series Momentum Strategies
  ☆12Updated 7 years ago
• tspooner / rmm.arl
  Robust Market Making via Adversarial Reinforcement Learning
  ☆53Updated 5 years ago
• thertrader / Using-random-forest-to-model-limit-order-book-dynamic
  I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead
  ☆31Updated 5 years ago
• bobcolner / pandas-polygon
  ☆16Updated 4 years ago
• BryceMeng / mlfinlab_research_bryce
  ☆24Updated 5 years ago