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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.

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.

keras-optimizers

Basic Keras Optimizers for LSTM model

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.

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).

tafoualgo

In the dynamic world of cryptocurrency trading, tafouAlgo emerges as a beacon for traders seeking reliability and depth in their trading strategies.

time-series-models

Repository contain Prophet, XGBoost, SARIMA & ARIMA and Linear Regression models performance at Bitcoin Price.

tzelalouzeir

web-scraping_bs4

Collecting data from website by using Python.

web-scraping_multipages

Web scrapping multi-pages

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.

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_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.

xgboost_indicators_3

This project demonstrates the use of the XGBoost model for classification, with hyperparameter tuning done using the Hyperopt library.