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Quants Lab is a Python project for quantitative research with Hummingbot. It provides functionalities for fetching historical data, calculating metrics, backtest and generating trading configurations.

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quants-lab

Quants Lab is a Python project for quantitative research with Hummingbot. It provides functionalities for fetching historical data, calculating metrics, backtest and generating trading configurations.

Data sources

  • CLOB
    • Last Traded Price
    • Current Order Book
    • Historical Candles
    • Historical Trades
    • Trading Rules
    • Funding Info
  • AMM
    • Last Traded Price
    • Current Liquidity
    • Pool Stats
      • Fees collected
      • Volume 24hs
    • Historical trades
  • GeckoTerminal
    • Networks
    • Dexes by Network
    • Top Pools by Network
    • Top Pools by Network Dex
    • Top Pools by Network Token
    • New Pools by Network
    • New pools all Networks
    • OHLCV
  • CoinGecko
    • Top Tokens Stats
    • Top Exchange Stats
    • Markets Stats by Token
    • Market Stats by Exchange

Modules

  • Labeling
    • Triple Barrier Method
  • Backtesting
  • Optimization
  • Visualization
    • OHLC
    • Order Book
    • Backtesting Report
  • Features
    • Signals

About

Quants Lab is a Python project for quantitative research with Hummingbot. It provides functionalities for fetching historical data, calculating metrics, backtest and generating trading configurations.

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  • Python 96.1%
  • Makefile 3.9%