Quant

Quantitative Strategy Stop-Loss Parameter Research Methodology: How to Find the Optimal Stop-Loss Distance Using Historical Data

Stop-Loss Parameter Research in Quantitative Strategies Stop-loss distance is one of the hardest parameters to pin down in a quantitative strategy. Set it too tight and you get whipsawed constantly; set it too loose and a single trade can blow through your risk budget. Tuning by intuition doesn’t convince anyone. A more reliable approach: systematically study historical data to understand how different stop-loss distances affect strategy performance, then identify parameter ranges that balance well across multiple evaluation dimensions. ...

OpenClaw Advanced: Multi-Agent Collaboration, Quantitative Workflow, Custom Skill

This is the follow-up to the OpenClaw Getting Started Guide, assuming you’ve already installed OpenClaw and gotten basic Telegram interactions working. This covers the advanced techniques you’ll want once you’re actually using it in production. Multi-Agent Task Division OpenClaw lets you configure multiple Agents in the same Telegram group, each handling a different domain. This is probably the most underrated feature. ...

Binance futures trading risk management system: position sizing, stop-loss setup, circuit breaker mechanism

💡 Domestic note: Binance’s official site isn’t directly accessible from mainland China—you’ll need a VPN or similar network tool. Fiat deposits don’t support bank cards directly; most funding happens through C2C (USDT↔CNY) channels instead. In futures trading, the difference between a profitable strategy and a losing one often isn’t about whether your signals are right—it’s about whether you’re actually implementing risk management. ...

Binance API from Zero to First Trade: Complete Tutorial

💡 China users: Binance’s official site can’t be accessed directly from mainland China—you’ll need your own networking tools. Fiat deposits don’t support bank cards; the main method is C2C (USDT↔CNY) channels. The Binance API is your gateway to quantitative trading. If you want your strategy to execute automatically—auto buy, auto stop-loss, auto position monitoring—you need the API. ...

Polaris Strategy Overview: My BTC Trend-Following Quantitative Trading System

Polaris is a quant strategy I’ve been running since late 2024, trading BTC/USDT perpetual futures on Binance, classified as a trend-following strategy. Real-time live performance data is available on the Polaris Live Tracker page. This post covers the strategy’s core logic, live trading results, and risk management framework. Why Trend Following Quant strategies roughly fall into two categories: ...