ohlcv-data

End-to-end streaming pipeline for finance data on stock market and news for further analysis and predictions.

This is basic Random Forest Algorithm project. Here, I get the entire OHLCV data for Nifty50 and try to predict what would be the share point for the next day

Jalur teknis minimal untuk menarik data pasar crypto dari Binance Spot Testnet, mencakup pemanggilan endpoint publik dan endpoint bertanda tangan (SIGNED).

📊 Solana Price Data Analysis — A comprehensive end-to-end data pipeline for analyzing and modeling Solana (SOL) price data from 2021 to 2024. This project includes data ingestion, technical indicator generation, feature engineering, machine learning modeling, and a real-time live dashboard using the Binance API for direct OHLCV Data Fetching.

A batch processing job that computes rolling mean signals on OHLCV data.

Open, High, Low, Close, Volume prices Crypto Coins W1 D1 H4 H1 M30 M15 M5

Nairobi Securities Exchange (NSE) analytics and forecasting project focused on Safaricom and KCB. Combines EDA, feature engineering, and ML (Random Forest, XGBoost) to model stock behavior, with plans for a predictive dashboard for real-time insights.

Jupyter Notebook which allows you to create your own dataset with bitcoin "OPEN, HIGH, LOW, CLOSE" data, through the trades of different exchanges.

A C++ CLI tool for computing moving averages over stock OHLC data.

Python tool to automate historical OHLCV data extraction from MetaTrader 5 into CSV files

First practice of Data Science and analyzing OHLCV data

Async financial data ETL and validation system. Stack: Python, FastAPI, SQLModel, Pandas. Features a modular rules engine for market-specific validation, background processing with status polling, and automated data quality reporting. Dockerized and fully tested.

SwiftyOHLC is a swift library for generating synthetic OHLC data

Python application for downloading and validating OHLCV cryptocurrency data from multiple exchanges with smart filtering and gap detection capabilities

📊 Download Binolla M1 & M5 Historical Candle Data for Algorithm Backtesting & Machine Learning Datasets.

📦 Download & Store Unlimited Quotex Historical M1/M5/M15 Candles. Overcomes the 199 WebSocket candle limit.

Immutable OHLCV market data with SHA-256 verification.

Code for building graph embedding for time series data

Forecasting AUD/USD and EUR/USD with ARMA/ARIMA/SARIMA models on 5-minute OHLCV data -- does a 1-step-ahead price prediction actually translate into a tradeable edge?

Historical daily OHLC price and trade volume data of stocks traded on global exchanges, going back decades.