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nitinnkdz's Projects

algo-trading icon algo-trading

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

ccapi icon ccapi

A header-only C++ library for interacting with crypto exchanges. Binding for Python is provided. A spot market making application is also provided as an end-to-end solution for liquidity providers.

empyrial icon empyrial

AI and data-driven quantitative portfolio management for risk and performance analytics 投资组合管理

finance icon finance

Study resources for quantitative finance

highfrequencytradingsvms icon highfrequencytradingsvms

This project implements a high frequency trading strategy that utilizes Support Vector Machines to capture statistical arbitrage in the pricing of Class A and Class C Google stocks.

mlfinlab icon 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.

pyalgostrategypool icon pyalgostrategypool

Official pool of Algorithmic Trading Strategies powered by the AlgoBulls Platform

python-nse-option-chain-analyzer icon python-nse-option-chain-analyzer

The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

rl_trading icon rl_trading

An environment to high-frequency trading agents under reinforcement learning

stock-portfolio-diversification-using-clustering-and-volatility-prediction icon stock-portfolio-diversification-using-clustering-and-volatility-prediction

The project aims to profile stocks with similar weekly percentage returns using K-Means Clustering. The project calculates realized volatility for each stock and predicts realized volatility for each stock using classical volatility models and machine learning models and comparing their performance. This is a capstone project for CIVE 7100 Time Series and Geospatial Data Sciences.

stolgo icon stolgo

Price Action Trading APIs, Algorithmic approach, Dealing with securities. Get APIs to detect candlestick patterns, identify trends, support resistance, and price breakout.

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