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wilsonfreitas / awesome-quant

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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

finance awesome trading-bot algotrading quant awesome-list trading-strategies trading-algorithms quantitative-finance technical-analysis stock-data algorithmic-trading-engine financial-data algorithmic-trading-library yahoo-finance quantitative-trading google-finance finance-api financial-instruments arbitrage-bot
  • Updated Oct 8, 2020
Lean

QuantConnect / Lean

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quant-trading

je-suis-tm / quant-trading

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Python quantitative trading strategies including Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

trading-bot quant trading-strategies trading-algorithms quantitative-finance algorithmic-trading quantitative-trading trading-systems statistical-arbitrage macd options-trading bollinger-bands options-strategies momentum-strategy quantitative-trading-strategies trading-strategy pair-trading momentum-trading-strategy commodity-trading quantimental-analysis
  • Updated Oct 5, 2020
  • Python

hosseinmoein / DataFrame

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C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

machine-learning cpp pandas statistical-analysis data-analysis trading-strategies trading-algorithms statistical dataframe numerical-analysis efficient-implementations financial-engineering multidimensional-data heterogeneous-data financial-data-analysis large-data dataframe-performance
  • Updated Oct 8, 2020
  • C++
backtesting.py

kernc / backtesting.py

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Open

Suggestion for Faster way to optimize vs GridSearch

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mitrymoe
mitrymoe commented May 13, 2020

Hey,

First of all thank you for the hard work put into this, it's a really awesome project that I still learn how to use.
I'm not that proficient in using python so that is why I'll put my suggestion here. I have used python more for machine learning stuff and there the option of searching hyperparameters was also between grid and random search. However, I found that using bayesian optimizati

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Hacktoberfest enhancement good first issue

rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data
  • Updated Feb 14, 2017
  • Jupyter Notebook

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