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stat_arb_tools

Provides helpful tools for statistical arbitrage traders

statistical-arbitrage-in-cryptocurrencies

The goal of this project is to develop a statistical arbitrage strategy for cryptocurrencies using Python

statistical-arbitrage-in-cryptocurrency-markets

Repository to show and share the code used for creating the results explored in the paper "Statistical arbitrage in cryptocurrency markets".

statistical-arbitrage-model

Machine learning model to predict NSE stocks for a year

statistical-arbitrage2

High-frequency statistical arbitrage

stock-market-crashes

How to detect stock market crashes with topology.

stock-market-forecasting

Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

stock-price-indicator

Python script for stock prediction

stock-selection-a-framework

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

stock_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

stockgram-intelligent-portfolio-manager

📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)

stockmarketcrash

stocks-pattern-analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

ta.py

Financial Technical Analysis in Python

tda_finance

Predicting stock market crashes

temporal_relational_stock_ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

test_codespace

testingforrationalbubbles

An implementation of the test statistics from Homm, Breitung (2012) using the statistical software package R.

the-kelly-criterion

🧮 A deeper look into the Kelly Criterion

the-kings-hft-algo-trading-competiton

Stevens SHIFT High Frequency Algorithmic Trading Competition

time-series-for-price-action-prediction

Using time series analysis, this research is to evaluate how different ML models perform in predicting stock market.

torchqtm

TorchQuantum is a backtesting framework that integrates the structure of PyTorch and WorldQuant's Operator for efficient quantitative financial analysis.

tos-and-thinkscript-snippet-collection

trade-classification-algorithms

To classify trades into buyer- and seller-initiated.

trading

Utility framework for back-testing technical trading strategies in Python.

trading-momentum-transformer

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

trading-strategy-

Here I test a simple ML trading strategy

trading-vue-js

💹 Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts. [Not Maintained]

treasuryfuturetrading

A statistical arbitrage strategy on treasury futures using mean-reversion property and meanwhile insensitive to the yield change

trend-following