work with Tehran stock exchange data 💹 in Python

بررسی و دریافت اطلاعات اختیار معاملات بورس تهران و فرابورس ایران | Options on the Tehran Stock Exchange (TSE) and IranFarabourse (IFB)

This is a versatile Python library tailored for the Tehran Stock Exchange, offering robust tools for processing and analyzing TSE symbol data. It enables users to apply custom text filters for efficient data handling, ideal for traders and analysts seeking streamlined data analysis.

ML-based buy signal detector for Tehran Stock Exchange using XGBoost & Random Forest

Scraping selected daily trading data from tsetmc.com (Tehran Stock Exchange) to show in an Excel-based Dashboard

Predict of prices by trade history 4 Tehran Bourse

اطلاعات تمامی نمادهای اختیار معامله منتشر شده در بورس تهران و فرابورس ایران

Firefox plugin to automatically send BUY request for Tehran Stock via Exir Brokerage.

This project focuses on creating a data pipeline to crawl the watchlist data from the Tehran Stock Exchange (TSE), transforming it, and loading it into a data lake for further analysis.

Go client for http://www.tsetmc.com/

این ابزار یک افزونه سبک و کاربردی است که به شما کمک می‌کند با محاسبه خودکار مارجین اختلاف قیمت، بررسی کنید آیا یک سهام یا صندوق سرمایه‌گذاری در شرایط فعلی ارزش خرید دارد، ارزش فروش دارد یا در وضعیت خنثی قرار دارد.

A Python package for financial operations.

A commercial AI-driven platform for real-time and end-of-day forecasting of all Tehran Stock Exchange symbols. Built in collaboration with industry partners and academic advisors, it integrates automated data-ingestion pipelines, deep-learning LSTM models, smart feature extraction (technical data & news data), and rolling 40-minute predictions.

A PHP-based script to obtain live data of Tehran stock and watching market's symbols.

Datasets for the OAMLS paper: Objective-Aware Meta-Learning System for Financial Time Series Forecasting.

Fetches Bours and Farabours market data via API, applies SMA calculations, and visualizes bullish crossovers with clean, reproducible plots.

A Go-based script to obtain live data of Tehran stock and watching market's symbols.

Quantitative comparison of ARIMA and LSTM/MLP models for forecasting Tehran Stock Exchange (TSE) stock prices (Khalij Fars and Moj ETF).

Open dataset of intraday Tehran Stock Exchange microstructure under the ±5% daily price-limit regime. Includes minute-level returns, signed trade flow, volume, and freeze-regime indicators across 50 symbols (2023–2024). Reproducibility companion to forthcoming work on endogenous vs. imposed market frictions.

A node js-based script to obtain live data of Tehran stock and watching market's symbols.