Mar 13 · 9 min read · This is a practical guide for institutional and algorithmic developers looking to execute large orders efficiently. When trading large blocks of equities, a single large market order can create signif
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Jan 29 · 10 min read · Introduction: Stop-Loss, The Eternal Dilemma If you ask a quantitative trader what their biggest headache is, besides "how to find good entry signals," it's "where exactly should I set my stop-loss?" Stop-loss is one of those things where acting too ...
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Jan 28 · 5 min read · Introduction Modern quantitative trading platforms rarely live in a single language or runtime. Performance-critical components may be written in Go, data science logic in Python, and APIs consumed by dashboards, notebooks, or web clients. To support...
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Jan 23 · 4 min read · Introduction In modern electronic markets, price movement rarely starts with a candle. It starts in the order book. Before prices rise or fall, liquidity shifts. Bids stack. Asks thin out. Market pressure builds quietly—often visible only through ord...
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Jan 21 · 5 min read · Introduction Trading systems are not ordinary software systems. They process high-velocity writes, serve read-heavy analytics, demand low latency, and must remain correct under failure.Trying to handle all of this with a single data model often leads...
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Jan 19 · 12 min read · Introduction Have you ever thought that quantitative trading can be learned easily and started immediately without writing code all night to build a framework, designing UI, and various design details and mechanisms? On the FMZ Quant Trading Platform...
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Jan 19 · 15 min read · With the rapid development of artificial intelligence (AI) technology, it has demonstrated extremely high efficiency and creativity in many fields. As a highly technical field, quantitative trading is also exploring the application of AI actively. Ho...
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Jan 9 · 14 min read · Introduction In the field of quantitative trading, the rolling position strategy is an attractive yet challenging topic. The core concept of this strategy is to reinvest realized profits back into trades during trending markets, achieving compound gr...
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Jan 8 · 4 min read · Most trading strategies obsess over entries. They fine-tune indicators, optimize signals, and chase precision, yet consistently fail for one simple reason:They ignore volatility. A perfect entry means nothing if your stop-loss and take-profit logic d...
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