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trading-algorithms

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Lean
quant-trading

Python 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

  • Updated Nov 10, 2021
  • Python
Superalgos
WenceslaoGrillo
WenceslaoGrillo commented May 29, 2020

Some suggestions to make it easier to run the backend without the front end. Some of these suggestions might be *ix only:

  • a command line parameter to indicate that the back end should start with everything that is pending without waiting for a front end to be available in the browser.
  • some instruction to make it work as a daemon (Linux) or service (Windows) to gain independence from the te
backtesting.py
zillionare
zillionare commented Apr 30, 2021

this is how Buy & Hold Return is calculated:

        c = data.Close.values
        s.loc['Buy & Hold Return [%]'] = (c[-1] - c[0]) / c[0] * 100  # long-only return

so it's calced use day one and the day last.

Expected Behavior

Buy & Hold Return is used for compare with strategy gain. Therefore, I guess they should started at same time, since the strategy get enough data to w

This 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

  • Updated Nov 8, 2021
  • Python

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