exponential-moving-average
There are 3 repositories under exponential-moving-average topic.
guillaumegenthial / tf_ner
Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data
Language:Python 925lucidrains / ema-pytorch
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Language:Python 442Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena
Language:Python 202- Language:JavaScript 55
jonschlinkert / exponential-moving-average
Calculate an exponential moving average from an array of numbers.
Language:JavaScript 49ixjb94 / indicators
Fastest Technical Indicators written in typescript, Supports: Browser, NodeJS, ES6, CommonJS. More than +100 indicators(SMA, EMA, RSI, MACD, ...)
Language:TypeScript 40philfoster / option_screener
tools for finding/selecting options using the e*trade developer API
Language:Python 36intelligent-control-lab / MEKF_MAME
Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)
Language:Python 24dc-aichara / PriceIndices
A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.
Language:Python 19GJason88 / oanda-ema-strategy
A simple, customizable EMA Crossover Forex trading algorithm made with Oanda's Rest v20 API.
Language:Python 13- Language:PHP 10
tupol / online-stats
Online statistics implementations, including average, variance and standard deviation; exponentially weighted versions as well.
Language:Scala 10ishika-mittal / Stock-Prices-Analytics-Dashboard
A Stock Prices Analytics Dashboard, comprising of python codes for price predictions, technical indicators, and dashboard hosting
Language:Jupyter Notebook 9- Language:Swift 6
jai-agrawal / algo-trading
Testing the profitability of an algo-trading algorithm which uses exponential moving averages
Language:Python 5Aprataksh / Python-Files
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.
Language:Python 3tam-ng / Drought_Forecasting_TimeSeries
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
Language:R 3vaibhav-sing-bisht / Time-Series-Forecasting
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
Language:Jupyter Notebook 3Fei-Ho / EMA-Exponential-Moving-Average-
Implementation of EMA in tensorflow2. It's very easy to use.
Language:Jupyter Notebook 2gferrsilva / RioSalitre
This code is part of the "Comparison of K-Means and Model-Based Clustering methods for drill core pseudo-log generation based on X-Ray Fluorescence Data" written by researchers of the Directory of Geology and Mineral Resources from the Geological Survey of Brazil – CPRM.
Language:R 2mohammad95labbaf / EURUSD_LSTM_Attention
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
Language:Jupyter Notebook 2This 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.
Language:Jupyter Notebook 2NRHartFRC / Financial-Analysis-Tool
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.
Language:Jupyter Notebook 2actuallyykatie / anomaly_detection
test task for VK.com
Language:Jupyter Notebook 1chuayaocong / trade-scanner
This program scans for options trades (real-time) based on a certain criteria
Language:Jupyter Notebook 1- Language:Jupyter Notebook 1
hari369-cmd / Pynance
Stock market momentum analysis using averaging of 7 weighted technical indicators
Language:Python 1- Language:Python 1
- DiseaseTrendsGoogle
shauryauppal / DiseaseTrendsGoogle
Disease Trends of anywhere in the World
Language:Jupyter Notebook 1 somjit101 / NYC-Taxi-Demand-Prediction
This is a Time Series Forecasting and Regression solution to project the no. of pick-ups at and around a given region at a given time in the city of New York, USA.
Language:Jupyter Notebook 1alibulutb / Bitcoin-Statistical-Analyze-and-Experimental-Machine-Learning
I performed statistical analysis and experimental machine learning strategy using 1 day historical data of Bitcoin
Language:Jupyter Notebook 0Python module for calculating stock charts using yfinance and pandas
Language:Python 0rudycav / 1D_SMA_TradingStrategy
Comparison of SMA and EMA gains on 1D timeframe
Language:Jupyter Notebook 0theianchia / crossover-price-signals
Simple and Exponential Moving Average Crossover tracking on real-time BTC/USDT trading pair market data
Language:Jupyter Notebook 0YanjunLin-Andrie / ELAN_stock_prediction
Compare, evaluate, and predict ELAN stock price using Monte Carlo Simulation, FB Prophet, SMA, k-Nearest Neighbors, Arima, LSTM, and EMA.
Language:Jupyter Notebook 0basith-ahmed / mtrp-butcher
A sophisticated Machine Learning model, utilizing a range of technical indicators to accurately forecast forthcoming trend reversals with a high degree of confidence. This model is also complemented by an interactive web interface.
Language:Python
