IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).

RSI divergence detector finds regular and hidden bullish and bearish divergences

Financial indicators for use with Data-Forge

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."

Python script to track and report favorable cryptocurrency trades using the Binance API

A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.

Simple nodejs async RSI module

A Stock Prices Analytics Dashboard, comprising of python codes for price predictions, technical indicators, and dashboard hosting

RSI Multi-Timeframe is a simplistic MTF RSI implementation with a display panel and alerts.

Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.

Backtest of NIFTY50 Index by taking RSI cross-over as a parameter and generate trade logs

Python algorithmic trading strategy backtest (Relative Strength Index)

Relative Strength Index

A financial trading algorithm based on limit orders, relying on relative strength index indicator to take an action, optimized via Nelder-Mead algorithm for optimum RSi period, stop loss/take profit, and other parameters.

This program enables you to identify the relative strength of US sector ETF to the SP 500 index.

An RSI and Bollinger Bands-based trading strategy, yielding a 3103% cumulative return for provided backtesting setting

Multithreaded stock market simulation that allows for different trading bots running various financial strategies and technical indicators. Creates a Market Making Bot running off of AAPL data.

The following project calculates these inputs: Stochastic %K, Stochastic %D, Stochastic Slow %D, Momentum Rate of Change, Larry William’s %R, A/O Oscillator, Disparity in 5 and 10 days, Moving Average 5 and 10, OSCP Price Oscillator, Commodity Channel Index (CCI), Relative Strength Index (RSI)

Strategy based on the Relative Strength Index indicator.