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Name: Anirban Ghosh
Type: User
Bio: Work @ State Bank of India , Investor , Trader and Interested in everything AI.
Location: Kolkata , India
Name: Anirban Ghosh
Type: User
Bio: Work @ State Bank of India , Investor , Trader and Interested in everything AI.
Location: Kolkata , India
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Technical Indicators implemented in Python using Pandas
This Jupyter Notebook condenses the Plotly API into one easy to use document with examples
50 common plots in matplotlib seperated by chart type/purpose.
Python live trade execution library with zipline interface.
Object-Oriented Programming concepts in Python
Code Repository for Python Object-Oriented Programming - 4th edition, Published by Packt
100+ Python challenging programming exercises
(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prado.
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Solutions for projects.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.
The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using transaction data from the Limit Order Book (LOB).
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.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
ATR, SuperTrend, Heiken Ashi, Renko
This is my financial trading system using ML (Random forest & LSTM). Most of the methods are based on 'Advances in Financial Machine Learning' by Lopez de Prado.
Example of writing a backtesting framework from scratch
Ipython notebooks for math and finance tutorials
A simple TradingView historical Data Downloader
Twitch stream notebooks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.