A program for financial portfolio management, analysis and optimisation.
-
Updated
Nov 4, 2023 - Python
A program for financial portfolio management, analysis and optimisation.
Technical analysis library for Rust language
Yet Another Technical Analysis library [for Rust]
Repositorio del curso online en Frogames Formación
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.
This repository is the largest collection of scripts for use on Binary or Deriv bots. It is powered by Deriv and contains a wide variety of scripts that can be used to enhance and automate trading strategies on these platforms.
🚀 The production-ready subclass of `pandas.DataFrame` to support stock statistics and indicators
Time Series Analysis and Forecasting in Python
Material for the course "Time series analysis with Python"
A simple Arduino library for calculating moving averages.
Scripts for using on Binary.com Bots.
Real time peak detection with z-score for Arduino
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.
The collections of simple, weighted, exponential, smoothed moving averages.
Calculate the simple moving average of an array.
Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes
Calculate an exponential moving average from an array of numbers.
Moving Average Trading backtest simulator
[PineScript] Dosyalar pek çok uygulama başlığına dair özgün, birbirinden bağımsız açık kaynak kodlarını içerir.
Add a description, image, and links to the moving-average topic page so that developers can more easily learn about it.
To associate your repository with the moving-average topic, visit your repo's landing page and select "manage topics."