People who do quantitative trading have mostly fallen into the same trap:
Thinking that once you run a strategy, you can just lie back—and then the market throws you a curveball and gives your account a lesson in an extreme行情.
Later, you slowly figure out the truth—quant is not an all-powerful key, but it is the execution partner that keeps your emotions the most stable.
My setup is like this:
80% goes to quant—run strictly according to the strategy, no hesitation, no trembling, and no chasing breakouts or selling in panic.
20% is reserved for manual risk control—watch for extreme market moves, black swans, and those moments that models haven’t reacted to yet.
After running this combination, the biggest takeaway can be summed up in one word: stable.
Not the kind of thrilling “get rich overnight” stimulation—but the kind of grounded calm of watching the curve every day at the close not blow up, drawdowns remain controllable, and the strategy follow the plan.
High-frequency arbitrage and short-term trading, at their core, compete on execution speed and discipline.
In these two areas, humans are naturally no match for machines, but in terms of judgment and risk instincts, machines can’t temporarily replace people.
So the truly useful approach is to let quant tools help you push execution to the limit, while you’re only responsible for holding the final risk-control line.
If you’re also doing high-frequency arbitrage or short-term trading and want to try quant tools to see how much they can help, feel free to message me.
Thinking that once you run a strategy, you can just lie back—and then the market throws you a curveball and gives your account a lesson in an extreme行情.
Later, you slowly figure out the truth—quant is not an all-powerful key, but it is the execution partner that keeps your emotions the most stable.
My setup is like this:
80% goes to quant—run strictly according to the strategy, no hesitation, no trembling, and no chasing breakouts or selling in panic.
20% is reserved for manual risk control—watch for extreme market moves, black swans, and those moments that models haven’t reacted to yet.
After running this combination, the biggest takeaway can be summed up in one word: stable.
Not the kind of thrilling “get rich overnight” stimulation—but the kind of grounded calm of watching the curve every day at the close not blow up, drawdowns remain controllable, and the strategy follow the plan.
High-frequency arbitrage and short-term trading, at their core, compete on execution speed and discipline.
In these two areas, humans are naturally no match for machines, but in terms of judgment and risk instincts, machines can’t temporarily replace people.
So the truly useful approach is to let quant tools help you push execution to the limit, while you’re only responsible for holding the final risk-control line.
If you’re also doing high-frequency arbitrage or short-term trading and want to try quant tools to see how much they can help, feel free to message me.