nimeshgala

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

notebooks

nimeshgala/notebooks

nimeshgala/algorithmic-trading-with-python

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

nimeshgala/algorithmic_trading_book

2 books and related source codes for algorithmic trading.

nimeshgala/apple-tv

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

nimeshgala/awesome-google-colab

Google Colaboratory Notebooks and Repositories (by @firmai)

nimeshgala/blog

Code and data for my blogs

nimeshgala/candlestick-screener

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

nimeshgala/FinanceBasic2018

파이썬을 활용한 금융분석 Tutorial

nimeshgala/industry-machine-learning

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

nimeshgala/jugaad-data

Download historical data for Indian stock market

nimeshgala/machine-learning-for-trading

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

nimeshgala/Mastering-Python-for-Finance-source-codes

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

nimeshgala/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.

nimeshgala/nsepy

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

nimeshgala/ohlcvish

Get all trading signals of OHLCV data

nimeshgala/pandas-montecarlo

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

nimeshgala/PyPortfolioOpt

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

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

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

nimeshgala/qstrader

QuantStart.com - QSTrader backtesting simulation engine.

nimeshgala/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

nimeshgala/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

nimeshgala/QuantPy

A framework for quantitative finance In python.

nimeshgala/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.

nimeshgala/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.

nimeshgala/Tutorials

Ipython notebooks for math and finance tutorials