Tagged articles

backtesting

11 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Sep 11, 2026 · Artificial Intelligence

Research Like Stock Trading: 40K ICLR Papers Backtest Shows Chasing Hot Topics Works

Analyzing 42,123 ICLR papers (2017–2026) across 28 research directions, the study finds that while hot topics like LLMs grow 60× in three years, their acceptance-rate advantage vanishes at peak popularity; PhD students with short horizons rationally chase momentum, but must check whether growth translates to acceptances or rejections.

AgentGNNICLR
0 likes · 14 min read
Research Like Stock Trading: 40K ICLR Papers Backtest Shows Chasing Hot Topics Works
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 AgentPython
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
DeepNoMind
DeepNoMind
May 16, 2026 · Artificial Intelligence

5 Open‑Source Claude Code Skills to Turn It into a Quant Trading Expert

The article explains how five open‑source Claude Code Skills—Backtest Expert, Data Pipeline, Signal Generator, Risk Manager, and Live Signal Monitor—combined with the EODHD API can automate the entire quant‑trading workflow from strategy definition to live monitoring, detailing each skill's workflow, code examples, advantages, limitations, and ideal users.

Claude CodeEODHDSignal Monitoring
0 likes · 21 min read
5 Open‑Source Claude Code Skills to Turn It into a Quant Trading Expert
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.

Grid StrategyIntraday T StrategyPython
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