There’s something going on that 99% of developers don’t realize.

That’s also why many trading bots crash as soon as they go live.
All the statistical rules we learned assume, by default, that the market is “normal.”
But the real market is nothing like that—it's way off.
Just this one wrong assumption makes your “significant” strategies keep failing endlessly in real practice.
Very few people have ever explained this clearly:
Standard statistics assumes returns follow a bell-shaped curve—most results cluster in the middle, and extreme cases almost never happen.
But that’s not how markets work.
Markets are “fat-tailed.”
Those extreme moves—those days when everything collapses within a single day—their frequency is far higher than what a bell curve would predict.
When I was building a cleanup bot, this almost ruined it.
Later, I patched it specifically for this; now the bot’s profit and loss is up to $43,000:
Just think about what that means for your backtests.
Every significance test you run is quietly assuming a bell-shaped curve.
So when the test tells you “this outcome is unlikely to be luck,” it’s actually underestimating the probability of those crazy events naturally occurring.
Your strategy edge looks stronger than it really is, simply because the math is built for a world model that doesn’t exist.
That’s why the usual “t-value greater than 2” standard is too lenient for trading.
You need to raise it to 3—or even higher—so you leave yourself a buffer to handle the fat tails that standard math ignores.
Likewise, making a big profit over one or two months proves nothing.
In a fat-tail world, even a bot with zero edge can randomly land a few months that look amazing.
The market won’t follow statistical textbooks.
Tune your whole system so it’s on the same channel as the real world you’re trading in.
Below, I left a complete guide to help students build their first successful bot.
See you in the next part.
If you want to copy trade on Polymarket
I recommend using Polycop:
#Polymarket