Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena

Fastest Technical Indicators written in typescript, Supports: Browser, NodeJS, ES6, CommonJS, Bun, Svelte, React, Angular, etc. More than +100 indicators(SMA, EMA, RSI, MACD, ...)

The collections of simple, weighted, exponential, smoothed moving averages.

Calculate an exponential moving average from an array of numbers.

tools for finding/selecting options using the e*trade developer API

Fastest Technical Indicators written in JavaScript, Supports: Browser, NodeJS, ES6, CommonJS, Bun, Svelte, React, Angular, etc. More than +100 indicators(SMA, EMA, RSI, MACD, ...)

Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)

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

A simple, customizable EMA Crossover Forex trading algorithm made with Oanda's Rest v20 API.

Online statistics implementations, including average, variance and standard deviation; exponentially weighted versions as well.

Forecasting Time Series with Moving Average and Exponential Smoothing

iOS iBeacon based indoor location application

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

Data analysis and filtering using time series for embedded devices (IoT). All in a single C++ library, Data Tome. Focus on the developer's experience and performance. It is the successor to the MovingAveragePlus library.

Testing the profitability of an algo-trading algorithm which uses exponential moving averages

Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements

This repository focuses on optimizing a trend-based trading strategy for the EURUSD currency pair. By combining PSO and GA, the goal is to maximize returns while minimizing risk. The strategy considers buy and sell signals based on Supertrend and EMA conditions, with a fixed commission of 3 pips per trade.

mic_py : Python 3 code for successful use of microphone on windows. stdev_ema.py : Python 3 code for calculation of standard deviation and exponential moving average of stock data.