Quant Trading

NAS100 and S&P 500 are two of the most commonly compared U.S. stock indices, yet they exhibit significant differences in industry structure, selection standards, and weighting mechanisms. This article systematically contrasts their structural characteristics and market representativeness from multiple perspectives to help you develop a clear understanding.

This analysis systematically breaks down the key distinctions between NAS100 and crypto market index contracts. It compares them across multiple dimensions—including underlying assets, trading hours, regulatory structures, and risk models—enabling readers to build a clear framework for understanding the differences between traditional indices and digital asset indices.

In February, BTC declined by approximately 15.5%, while ETH also corrected in tandem. The Crypto Fear & Greed Index fell into the Extreme Fear zone, reflecting a significant rise in market risk-off sentiment. Despite the volatile market environment, the fund portfolio maintained relatively stable overall performance, though short-term returns showed some divergence. Among the strategies, Stellar Core Smart-Invest (USDT) delivered the highest one-year return of 9.5%. Meanwhile, Interstellar Hedge (USDT) and Orbital Arbitrage (USDT) recorded cumulative returns of 18.0% and 17.2%, respectively. Notably, Interstellar Hedge (USDT) achieved positive returns in all 20 cycles during the observation period, resulting in a 100% win rate. Gravity Hedge (USDT) also performed strongly, with a 95% overall win rate.

Gate Research: Large language models and AI agent technologies are pushing trading systems into a new stage of development. Quantitative trading, which previously relied heavily on programming skills and complex engineering systems, is gradually evolving into product forms with much lower barriers to entry. Gate has introduced products such as AI Quant Workspace and Gate for AI, which aim to integrate strategy generation, backtesting, and automated execution within a single platform through natural language interaction, no-code quant tools, and unified trading interfaces, allowing more users to participate in strategy trading. As AI technology continues to mature, trading platforms are also evolving from traditional matching tools into AI-driven trading infrastructure.

This article will explain how to use Gate.com's trading bots and API features to implement quantitative trading strategies, helping users automate their trades and take advantage of opportunities in the crypto market.

ADXcloud is an advanced version of the traditional ADX indicator, refined to better handle markets with slow-moving trends. Gate.com provides a user-friendly strategy robot that simplifies deploying this indicator.