Trading bot service using NestJs with mean reversion & long short algorithms. Using https://alpaca.markets/ as the broker.
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Updated
Dec 10, 2020 - TypeScript
Trading bot service using NestJs with mean reversion & long short algorithms. Using https://alpaca.markets/ as the broker.
Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
Web app with TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.
The goal of this project is to develop a statistical arbitrage strategy for cryptocurrencies using Python
OpenFintech is a financial analysis library designed for Python developers and financial analysts. It provides powerful tools for conducting both trend following and mean reversion analyses, utilizing financial market data. This project aims to make complex financial algorithms accessible and easy to use.
Metatrader 5/MQL Implementation of Mean Reversion Algorithm
Quick calculation for profit loss of trades.
This script implements a mean reversion strategy for a given stock. It calculates the z-scores for the stock's price and generates entry and exit signals based on predefined thresholds. The script also performs a backtest on the strategy and visualizes the returns.
Crypto trading bot that utilizes a Binance API for data
Predict price reversion signals for mean reverting stocks on NSE
Pairs trading strategy based on statistical arbitrage and cointegration, implemented in Python.
Algorithmic Trading Project
Project of Group 6 - CS408 - APCS, HCMUS - 2025
An exposition of a simple pairs trading strategy on two stocks (Bajaj Finserv and Indian Bank) in the Nifty500, at the one-minute time frequency, in order to demonstrate some of the core ideas of statistical arbitrage strategies.
This is a project exploring dual-strategy trading algorithm using mean reversion and momentum for VN30F1M futures market. Project of Group 7 - CS408 - APCS, HCMUS - 2025
SwitchGain is a Python-based algorithmic trading project implementing Momentum and Mean Reversion strategies on stock data. It automates signal generation using technical indicators (RSI, Bollinger Bands) and provides performance analytics.
Project of Group 4 - CS408 - APCS, HCMUS - 2025
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