fmilthaler/FinQuant
A program for financial portfolio management, analysis and optimisation.
400 repositories
A program for financial portfolio management, analysis and optimisation.
A collection of various technical indicators implemented in Pine Script for the TradingView platform
Technical analysis library for Rust language
Yet Another Technical Analysis library [for Rust]
National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
Book and material for the course "Time series analysis with Python" (STA-2003)
Time Series Analysis and Forecasting in Python
World's largest open-source collection of 4,000+ trading bots for Deriv and Binary. Powered by AI and community-driven. Start automating your trading strategies today!
🚀 The production-ready and incredibly-fast python library to support stock statistics and indicators, based on `pandas.DataFrame`
Simple AI-powered trading bot for Robinhood
A simple Arduino library for calculating moving averages.
Scripts for using on Binary.com Bots.
Real time peak detection with z-score for Arduino
Keep smooth running averages without using arrays! Uses exponential moving averages and only 8-bytes no matter how many samples! No looping! No Arrays! Constant Compute Time! The sample size is adjustable at runtime. The average is available and accurate even before N samples have been received. Now with Callbacks!
I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.
Machine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning.
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
The collections of simple, weighted, exponential, smoothed moving averages.
Moving Average Trading backtest simulator
Calculate the simple moving average of an array.
Calculate an exponential moving average from an array of numbers.
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.
Financial indicators for use with Data-Forge
[PineScript] O zamanlar yapay zeka yoktu :) Dosyalar pek çok uygulama başlığına dair özgün, birbirinden bağımsız açık kaynak kodlarını içerir.
Real-time MA cluster & 200MA/200EMA touch alerts for crypto & stocks. Binance WS + Yahoo Finance data, Telegram notifications. Python 3.12 · asyncio · Docker
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
Time Series Analysis in Java
Forecasting Monthly Sales of French Champagne - Perrin Freres
Multi-Timeframe Moving Average