Tagged articles

backtesting

8 articles · Page 1 of 1
Geek Labs
Geek Labs
Jul 27, 2026 · Artificial Intelligence

Let AI Trade for You: HKU’s Open‑Source Vibe‑Trading Agent Handles Research, Backtesting, and Order Execution in One Command

Vibe‑Trading, an open‑source AI‑driven personal trading agent from HKU’s Data Intelligence Lab, lets users issue a natural‑language prompt to automatically fetch data, generate strategy code, run vectorized backtests across multiple markets, produce detailed reports, and simulate live orders, while offering self‑improving behavior, multi‑agent teams, a 460‑plus academic factor library, and extensive broker connectors.

AI tradingLLM agentOpen Source
0 likes · 10 min read
Let AI Trade for You: HKU’s Open‑Source Vibe‑Trading Agent Handles Research, Backtesting, and Order Execution in One Command
Python Crawling & Data Mining
Python Crawling & Data Mining
Jun 7, 2021 · Artificial Intelligence

How to Build and Backtest Low‑Frequency Trading Strategies in Python

This article introduces two low‑frequency Python trading strategies—a grid‑based price‑difference approach and an intraday T‑strategy—explains their implementation on the RiceQuant platform, provides sample code, and presents back‑testing results that demonstrate their performance and practical considerations.

Algorithmic TradingGrid StrategyIntraday T Strategy
0 likes · 10 min read
How to Build and Backtest Low‑Frequency Trading Strategies in Python
Python Programming Learning Circle
Python Programming Learning Circle
May 18, 2020 · Backend Development

How to Retrieve Binance Trade Data with Python: A Step-by-Step Guide

This article explains why accurate trade data is essential for strategy backtesting, why Binance is chosen, and provides a detailed Python workflow—including argument parsing, using the Binance aggTrades endpoint, handling pagination with from_id, cleaning the resulting DataFrame, saving to CSV, and validating the data integrity.

Binance APICSVTrading
0 likes · 7 min read
How to Retrieve Binance Trade Data with Python: A Step-by-Step Guide