The Wayback Machine - https://web.archive.org/web/20220320181719/https://github.com/topics/trading-algorithms
Skip to content
#

trading-algorithms

Here are 390 public repositories matching this topic...

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 Feb 1, 2022
  • Python
Superalgos
teehanming
teehanming commented Jan 26, 2022

Is your feature request related to a problem? Please describe.
Ugly title for asset new asset. The asset node gets New Asset title after entering the codename.

Describe the solution you'd like
auto rename by referring the codeName --> iconName
set iconName as variable.

Describe alternatives you've considered

Additional context
Add any other context or screenshots

hadialaddin
hadialaddin commented Mar 15, 2022

Say I have two points on the Dataframe (price and UNIX timestamp) and I want to draw a Ray (endless) that goes through these two points. Does Pandas TA or Pandas has a function for this? Is there an easy way to draw a Linear Regression ray, I just have the two points and I want to draw a Ray through them and get all the Datapoints (price and timestamp of each) say 1 week into the future to be pred

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

DataFrame

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 Jan 20, 2022
  • Python

Improve this page

Add a description, image, and links to the trading-algorithms topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the trading-algorithms topic, visit your repo's landing page and select "manage topics."

Learn more