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algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algorithmic_trading_book

2 books and related source codes for algorithmic trading.

apple-tv

A proof of concept Apple TV app to access on demand programmes from the BBC.

awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

blog

Code and data for my blogs

candlestick-screener

web-based technical screener for candlestick patterns using Python and Flask

financebasic2018

파이썬을 활용한 금융분석 Tutorial

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

jugaad-data

Download historical data for Indian stock market

machine-learning-for-trading

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

mastering-python-for-finance-source-codes

Accompanying source codes for my book 'Mastering Python for Finance'.

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

notebooks

nsepy

Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices

ohlcvish

Get all trading signals of OHLCV data

pandas-montecarlo

A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data

pyportfolioopt

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

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

qstrader

QuantStart.com - QSTrader backtesting simulation engine.

quant-trading

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

quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

quantpy

A framework for quantitative finance In python.

startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm.

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.

tutorials

Ipython notebooks for math and finance tutorials