Tzelal O.'s repositories
Binance-Bitcoin-1-Second-Dataset
Navigating the Monster 1-Second Bitcoin OHLCV Dataset
BTC_Hourly_CDL_EDA
Simple Bitcoin Candlestick Pattern EDA with Python
cs2_to_csv
Open-Source Chrome extension allows you to easily save item names, inspect links, float values, and paint seeds from Counter-Strike 2 inventory to a CSV file.
Time-Series-Models
Repository contain Prophet, XGBoost, SARIMA & ARIMA and Linear Regression models performance at Bitcoin Price.
XGB_CryptoStrategy
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.
Binance-Analysis
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.
XGBoost_Indicators
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.
XGBoost_Indicators_3
This project demonstrates the use of the XGBoost model for classification, with hyperparameter tuning done using the Hyperopt library.
XGBoost_Indicators_2
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.
keras-optimizers
Basic Keras Optimizers for LSTM model
candle_rank
Candle Pattern Rank Dictionary Based on Bulkowski Encyclopedia of Candlestick Charts
crypto-BSsignals
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.
rice_leaf_diseases_ds
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).
web-scraping_multipages
Web scrapping multi-pages
pdf_to_txt
Python data mining solution converts PDFs to editable Word files for easy analysis. Extract valuable insights from your data quickly and easily.
web-scraping_bs4
Collecting data from website by using Python.