Many people have misconceptions about quantitative trading robots. Today, let's talk about what this thing actually is.
Simply put, a quantitative robot is a "auto-driving trading system" written by a programmer, which must operate strictly according to the rules of a major exchange.
**What is the essence?**
The core is a bunch of code. This code can run nonstop 24/7 — it will fetch market data (prices, trading volume) in real-time and make decisions based on pre-set mathematical models. For example, "buy when the price drops to X, sell when it rises to Y," and automatically execute trading commands through the exchange's API interface.
**Common pitfalls**
This is a trap, so let me clarify: a quantitative robot is not some black technology that can predict the future, nor is it a money-printing machine that makes money while you lie down. Whether it makes money or loses money depends entirely on whether your trading strategy aligns with market realities and whether you can bear the risks. No matter how volatile the market or how optimized the strategy, losses can still happen. That’s the reality.
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AirdropHunter007
· 01-10 20:48
That's so true. How many people have been scammed before they realize this truth.
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MEVVictimAlliance
· 01-10 20:43
Basically, it's just a tool that has been overly mythologized.
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RetroHodler91
· 01-10 20:38
Basically, it's a machine that follows rules, not a deity.
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AirdropHermit
· 01-10 20:25
Basically, it's about making a living with code. Only with good strategies can you survive; if not, just wait to get chopped up like a leek.
Many people have misconceptions about quantitative trading robots. Today, let's talk about what this thing actually is.
Simply put, a quantitative robot is a "auto-driving trading system" written by a programmer, which must operate strictly according to the rules of a major exchange.
**What is the essence?**
The core is a bunch of code. This code can run nonstop 24/7 — it will fetch market data (prices, trading volume) in real-time and make decisions based on pre-set mathematical models. For example, "buy when the price drops to X, sell when it rises to Y," and automatically execute trading commands through the exchange's API interface.
**Common pitfalls**
This is a trap, so let me clarify: a quantitative robot is not some black technology that can predict the future, nor is it a money-printing machine that makes money while you lie down. Whether it makes money or loses money depends entirely on whether your trading strategy aligns with market realities and whether you can bear the risks. No matter how volatile the market or how optimized the strategy, losses can still happen. That’s the reality.