Quant Trading

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.

This article provides some basic technical analysis indicators and methods for cryptocurrency investors, helping beginners to quickly get started. Indicators can provide objective data to reduce our emotional trading and improve the accuracy of price predictions.

This article explains the COG strategy, including its definition, how it works, implementation methods, pros and cons, and practical examples to help readers understand and use this strategy effectively.

In cryptocurrency and financial markets, technical analysis tools are essential for making informed investment decisions. This article explores the Keltner Channel indicator, explaining its application principles, pros and cons, and comparing it with other technical indicators to help readers better understand and use this tool effectively.

Triangular arbitrage serves as a strategy in crypto exchange trading, leveraging variations in exchange rates within a single market or across multiple markets.

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.

In this article, we perform a pre-selection of token pairs of interest. We then derive the mathematical formula for finding the optimal arbitrage between two pools of the same token pairs.

Perpetual contract funding rate arbitrage refers to the simultaneous execution of two transactions in the spot and perpetual contract markets, with the same underlying asset, opposite directions, equal quantities, and offsetting profits and losses. The goal is to profit from the funding rates in perpetual contract trading. As of 2025, this strategy has evolved significantly, with average funding rates stabilizing at 0.015% per 8-hour period for popular trading pairs, representing a 50% increase from 2024 levels. Cross-platform opportunities have emerged as a new arbitrage vector, offering additional 3-5% annualized returns. Advanced AI algorithms now optimize entry and exit points, reducing slippage by approximately 40% compared to manual execution.

"Starting to care about politics through a meme," this is a reflection of the past decade of American politics becoming entertainment in the realm of imagery.

: Reading cryptocurrency charts is one of the essential skill a trader ought to possess in order to maximize value in the market. This article explores practical methods of reading cryptocurrency charts.

Higher-order power perpetuals—starting with square power perpetuals (editor's note: meaning squared). Squeeth is the first squared power perpetual product, offering pure risk exposure to the quadratic component of price risk. We can approximate many payoffs by combining higher-order power perpetual options with 1-perps (futures) and 0-perps (collateral). If we need more precision, we can approximate any function—sin(x), e^x, log(x), or any other function—by using a combination of power perps with integer powers weighted by the Taylor series. A world where power perpetuals, collateral assets, and Uniswap LPs interact well could be very interesting.

Reading cryptocurrency charts is one of the essential skill a trader ought to possess in order to maximize value in the market. This article explores practical methods of reading cryptocurrency charts.