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

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

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

Calculate an exponential moving average from an array of numbers.

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

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

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.

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

iOS iBeacon based indoor location application

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

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.

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits