ohlcv

TypeScript OHLCV data-quality checks: candle gaps, cache freshness, reconciliation lag, session calendars and duplicate integrity.

Common lib to handle basic data structures

NSE equity OHLCV from the Upstox v2 API, in Bhav Copy schema with chunked date ranges, auto-refreshing OAuth, VWAP and 5-minute bars. Built to feed quantitative models.

A Java-based web application that predicts stock market trends by performing sentiment analysis on financial news articles.

Archived. Moved to zinan92/trading-system (packages/standard-kline)

OHLCV data pipeline for Nepal Stock Exchange from 2012 to the present

A MLOPS-style batch job: rolling mean signal generation on OHLCV data with docke, structured logging and reproducible runs.

Public DeepBook observed-fill backup for selected Sui mainnet pools quoted in canonical USDC.

Measures a token's first minutes of trading — volume, silent minutes and price move, counted from the contract's birth. Built with the Mobula API.

Historical MCX futures data extractor for Fyers API v3.

TradeForge: A Python-based trading platform with real-time market data visualization, technical indicators, ML-driven predictions, backtesting, and simulated trade execution — all in a Streamlit dashboard.

Iturri MCP server — 11 verified market-data tools for AI agents. Free catalog discovery, x402 USDC payments, per-bar quality flags. Endpoint: https://iturri.ai/mcp

Python library for unified OHLCV market data — crypto, forex, equities, multi-provider, indicators, PyPI

Go client for avee: DEX market data API (pairs, tokens, trades, candles, wallets, perps) and the Astra price oracle (package astra). Context-first, iterators for pagination, standard library only.

Historical 1-minute OHLCV, liquidity and gas pipeline for Base DEX pairs, verified on-chain for ML training

Build OHLCV candles from trade ticks for market data pipelines.

Interactive Brokers historical data ETL with a clean Tkinter GUI. Supports Stocks/Index/Futures/Commodities/Crypto.

Provider-neutral market data adapters (CCXT, CSV, SQLite, SQLAlchemy) and a raw-PineScript backtest harness for PineForge

High-performance Python 3.13 market data — Failover Control Protocol (FCP): Cache > Vision API (S3) > REST. WebSocket streaming with FSM reconnect & gap reconciliation. Binance OHLCV: Spot, USDT-M & Coin-M Futures. Polars engine, pandas/Polars API. Arrow IPC mmap cache (sub-ms), AI agent discovery (__probe__). uv add crypto-kline-vision-data

CLI para descargar, analizar y graficar datos OHLCV de criptomonedas en CSV.