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

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

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.

iOS iBeacon based indoor location application

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

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.

This project is dedicated to forecasting 1-hour EURUSD exchange rates through the strategic amalgamation of advanced deep learning techniques. The incorporation of key technical indicators—RSI, MA, EMA, and VWAP—enhances the model's grasp of market dynamics

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.