exponential-moving-average | Topic

Topic: "exponential-moving-average"

guillaumegenthial/tf_ner

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

Language: Python - Size: 144 KB - Last synced at: 15 days ago - Pushed at: over 6 years ago - Stars: 923 - Forks: 275

lucidrains/ema-pytorch

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

Language: Python - Size: 66.4 KB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 571 - Forks: 35

lucidrains/Mega-pytorch

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

Language: Python - Size: 34.2 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 203 - Forks: 11

ixjb94/indicators

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

Language: TypeScript - Size: 961 KB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 70 - Forks: 16

kaelzhang/finmath

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

Language: JavaScript - Size: 63.5 KB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 55 - Forks: 20

jonschlinkert/exponential-moving-average

Calculate an exponential moving average from an array of numbers.

Language: JavaScript - Size: 9.77 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 49 - Forks: 9

philfoster/option_screener

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

Language: Python - Size: 356 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 43 - Forks: 17

ixjb94/indicators-js

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

Language: JavaScript - Size: 91.8 KB - Last synced at: 10 days ago - Pushed at: 6 months ago - Stars: 22 - Forks: 0

intelligent-control-lab/MEKF_MAME

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

Language: Python - Size: 1.98 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 1

dc-aichara/PriceIndices

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

Language: Python - Size: 1.6 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 5

GJason88/oanda-ema-strategy

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

Language: Python - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 3

timothyyu/icarus-engine

python port of godmode indicator from pinescript

Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 1

tupol/online-stats

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

Language: Scala - Size: 2.86 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 1

ipang-dwi/fts

Forecasting Time Series with Moving Average and Exponential Smoothing

Language: PHP - Size: 239 KB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 7

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.

Language: C++ - Size: 212 KB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 1

ishika-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 - Size: 1.88 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 5

jai-agrawal/algo-trading

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

Language: Python - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

tam-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 - Size: 21.1 MB - Last synced at: 6 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 2

mohammad95labbaf/PSO-GA-Strategy-Optimization

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.

Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

Aprataksh/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 - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 2

mohammad95labbaf/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 - Size: 2.99 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

vaibhav-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 - Size: 6.67 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

gferrsilva/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 - Size: 6.41 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Fei-Ho/EMA-Exponential-Moving-Average-

Implementation of EMA in tensorflow2. It's very easy to use.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

cybercat37794/Stock-Price-Prediction

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

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 - Size: 12.5 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

shauryauppal/DiseaseTrendsGoogle

Disease Trends of anywhere in the World

Language: Jupyter Notebook - Size: 189 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

basith-ahmed/mtrp-butcher

A 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 - Size: 44.9 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

theianchia/crossover-price-signals

Simple and Exponential Moving Average Crossover tracking on real-time BTC/USDT trading pair market data

Language: Jupyter Notebook - Size: 545 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NRHartFRC/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 - Size: 5.18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0