tzelalouzeir Goto Github PK
Name: Tzelal O.
Type: User
Bio: ML, AI is good.
Twitter: tafousignals
Location: Greece
Blog: https://tafou.io
Name: Tzelal O.
Type: User
Bio: ML, AI is good.
Twitter: tafousignals
Location: Greece
Blog: https://tafou.io
This repository houses Python code that utilizes the ccxt library to fetch OHLCV (Open, High, Low, Close, Volume) data for various cryptocurrency pairs from Binance. The data is then subjected to a series of technical analyses to identify key patterns and indicators which can be useful for traders.
Candle Pattern Rank Dictionary Based on Bulkowski Encyclopedia of Candlestick Charts
This project generates buy and sell signals for cryptocurrencies using various financial indicators. The script is designed to work with the Binance exchange but can be adapted to work with other exchanges.
Basic Keras Optimizers for LSTM model
Python data mining solution converts PDFs to editable Word files for easy analysis. Extract valuable insights from your data quickly and easily.
The dataset includes both train,validation and test images, making it suitable for use in training and evaluating machine learning models for disease diagnosis. (tested on YOLOv3 and YOLOv4).
In the dynamic world of cryptocurrency trading, tafouAlgo emerges as a beacon for traders seeking reliability and depth in their trading strategies.
Repository contain Prophet, XGBoost, SARIMA & ARIMA and Linear Regression models performance at Bitcoin Price.
Collecting data from website by using Python.
Web scrapping multi-pages
This repository contains a Python script that fetches historical Bitcoin (BTC) price data, calculates technical indicators, and applies a trading strategy based on machine learning. The purpose of the script is to assess the performance of the strategy using the XGBoost algorithm, which predicts long, short, or neutral positions.
This repository contains Python code that fetches 120 days of hourly Bitcoin price data from Yahoo Finance, calculates various technical indicators, and analyzes the relations between these indicators.
This repository is dedicated to training and evaluating an XGBoost classifier on the Bitcoin technical indicators dataset. It aims to predict trading signals (like 'long', 'short', or 'neutral') based on the values of various indicators.
This project demonstrates the use of the XGBoost model for classification, with hyperparameter tuning done using the Hyperopt library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.