Many people regard quantitative robots as some kind of magical tool, but that's not the case. To put it simply, it is just a strict implementation of your trading ideas in code—no laziness, no emotional decision-making, no dropping the ball.
Where is the true value? It allows mature trading logic to be scaled and operated, making execution disciplined and efficient. You don't need to monitor the market and manually place orders every day; instead, you can focus on researching the strategy itself and continuously optimizing your trading approach.
For professional institutions and experienced investors, this tool is especially practical. The investment cognition and profit logic you accumulate in the futures market can be stably reproduced by the quantitative robot, transforming into real excess returns. In other words, this is the foundational tool that turns your trading advantages into sustainable competitive edges.
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tx_pending_forever
· 01-11 12:37
Basically, it's a tool for execution. Reliable strategies are the core.
Quantitative robots are really not some magic device; the key is whether your own logic can hold up.
This thing is about eliminating human weaknesses; everything else depends on the strategy itself.
People with good strategies can indeed use this to steadily harvest profits... No, it's about earning excess returns.
Automated operation sounds great, but the premise is that you truly have a profitable logic.
Every day someone asks me which robot is the best, and I just want to laugh. Without a good strategy, everything else is useless.
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GateUser-74b10196
· 01-11 12:29
Basically, you still need to have logic; without good strategies, robots are useless.
Quantitative trading sounds advanced, but it's really just a disciplined code version.
Staring at the market all day is exhausting. Robots can indeed free your hands, but the prerequisite is that you understand trading.
Scaling operations sounds comfortable, but how many strategies can actually survive...
This thing is really attractive to institutions, but retail investors need to think carefully about their own logic first.
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NewDAOdreamer
· 01-11 12:28
You're not wrong, it's just automated execution, nothing magical about it.
The core still depends on the strategy itself; robots are just tools. A bad strategy is useless even if automated.
I'm just curious how many people buy robots without clearly thinking through their trading logic.
This thing is indeed suitable for experienced users; beginners might end up losing even faster.
Saving manual judgment and investing the saved energy into optimizing strategies is the smarter move.
But honestly, strategies that can truly generate excess returns are extremely rare; most are just overconfidence.
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BridgeJumper
· 01-11 12:25
To be honest, robots can help you enforce discipline, but the prerequisite is that your strategy itself has to be effective.
The biggest pitfall of this thing is that people think they can just relax and win because they have code, but in reality, they can lose everything in one go.
Backtesting looks great, but whether it can actually make money when running in real trading is another story.
Many people regard quantitative robots as some kind of magical tool, but that's not the case. To put it simply, it is just a strict implementation of your trading ideas in code—no laziness, no emotional decision-making, no dropping the ball.
Where is the true value? It allows mature trading logic to be scaled and operated, making execution disciplined and efficient. You don't need to monitor the market and manually place orders every day; instead, you can focus on researching the strategy itself and continuously optimizing your trading approach.
For professional institutions and experienced investors, this tool is especially practical. The investment cognition and profit logic you accumulate in the futures market can be stably reproduced by the quantitative robot, transforming into real excess returns. In other words, this is the foundational tool that turns your trading advantages into sustainable competitive edges.