rahold's starred repositories

sierrachart

Sierra Chart Custom Studies

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cs-dlp

Script for downloading Coursera.org videos and naming them.

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Carbon-for-F1TV

Browser extension

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Example.DataLibrary.Python

Example projects and Tutorials demonstrating access to the Refinitiv Data Platform using the Refinitiv Data Library for Python

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Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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Machine-Learning-for-Algorithmic-Trading-Second-Edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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findatapy

Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.

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TabularEditor

This is the code repository and issue tracker for Tabular Editor 2.X (free, open-source version). This repository is being maintained by Daniel Otykier.

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IBC

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

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pybacktest

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

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zipline

Zipline, a Pythonic Algorithmic Trading Library

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pyiqfeed

Python LIbrary for reading DTN's IQFeed

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IQFeed

Python - IQ DTN Feed Historical Data Download & Cache

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