rajeevmps Goto Github PK

ai_for_trading

Quantitative analysis, from data processing and trading signal  generation to portfolio management. Using machine learning to generate trading signals.

alpaca-backtrader-api

Alpaca Trading API integrated with backtrader

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

course-certified-solutions-architect-associate

AWS Certified Solutions Architect - Associate

coursera-deep-learning

My notes / works on deep learning from Coursera

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

deep-reinforcement-learning-in-trading

deeplearning-models

A collection of various deep learning architectures, models, and tips

epat-notebooks

Notebooks from the Quantinsti EPAT program

epatproject

EPAT project batch41 on Machine L earning for Trading using Random Forest Regression to predict prices based on a number of price indicators and Twitter sentiment Analysis

finalproject

This is the final project implemented during EPAT. It backtests a pairs trading strategy for commodities trading on MCX.

finance

150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

finrl-trading

git1

To learb git

ipython_notebooks

Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.

learn_deep_learning_in_6_weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

medium

mibianlib

Python Options Pricing Library

ml-by-sj

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

ml4asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

neuralnetworks

Neural Network Refresher | Natural Language Processing | LSTM

nseindexoptionsdata

nsetools

Realtime Data From National Stock Exchange (India)

option-strategies-backtesting-in-python

Python codes used in book 'Option Greeks Strategies & Backtesting in Python'

quant

Deep learning-based quantitative investment

quant-finance-lectures

Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.

quant-projects

Implementations of Leading Algorithms in Quantitative Finance

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