@deltatrendtrading: Sooo common among social media traders. Building a viable trading strategy is not tuning parameters until you have a smooth, upward-sloping equity curve and pretty statistics. That’s called overfitting, and it’s how you surprise yourself with live losses as soon as you deploy. #quant #quanttrading #quantfinance #wallstreet

Thomas
Thomas
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Friday 05 June 2026 20:21:42 GMT
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abstractalgebraa
ً :
Lot of people r pretending to be u and selling courses
2026-06-05 20:32:03
52
alexcandles6
Alex📉📉📉 :
How can you make sure you aren’t over fitting
2026-06-05 20:36:01
1
jrijemen
jrijemen :
Overfitting is a myth
2026-06-05 22:20:11
3
the_tech_strategist
Dinesh Chetty :
not everyone is overfitting. some of us use so few parameters it very difficult to overfit. the more parameters, the more chance you are overfitting. keep it no more than two.
2026-06-05 20:47:39
4
orion_trader
Orion :
hahaha... false confidence, "high Sharpe = overfit", if so the opposite "low Sharpe = not overfit". since when overfitting is determined by Sharpe except in tiktok. the high Sharpe problem is not overfitting, but "do you include realistic cost model?" slippage model (news or gap), execution spread, contract roll over, commission, etc. Sharpe ratio is too fragile (not robust) for trading cost and trading execution. 5% error in execution will change dramatically Sharpe 😉
2026-06-06 00:31:57
2
yebr777
y :
whats your take on auction market theory
2026-06-06 11:30:15
2
jerryk____
J :
i wanted to ask you a question, how versed are you in lévy processes ? I’m looking to build a new continous stochastic process and i wanted to run some idea by you
2026-06-05 21:24:24
1
0figjestre
jestre :
Alright but if I for example already did OOS and IS optmizations and WFO too
2026-06-06 10:24:27
1
isaackogz
Isaac Kogz 🇨🇦🍁 :
In other news, water is wet
2026-06-05 21:38:14
7
adishraz
adishaz :
bro the problem is not the overfit its the thought that a one can build a HOLC strategy and expect an edge
2026-06-06 14:57:01
1
osybear1
Osybear :
I am using ninjatrader to forward test, when would I ever consider running it on an evaluation?
2026-06-05 20:41:51
1
exoticthoughts6
Exotic thoughts :
Do you like build alpha
2026-06-05 20:44:12
2
lemonbantot
Nomel :
what if I got positive expectancy on the first run with a high sample size? not overfitted right?
2026-06-05 20:47:18
2
keysersozeistheog
Scott Worrell :
Very good information
2026-06-05 20:54:58
4
odiephd
@Odiephd :
Been there done that. Lesson learned!!
2026-06-06 13:22:13
1
user9734352971633
Ivan :
Spot on. Genetic algos don't find the alpha, they just memorize historical noise. Those "50% return" guru backtests are literally just curve-fitted to a 10 year bull market. Without strict out of sample testing and walk forward analysis, it's just expensive historical fiction.
2026-06-07 00:44:49
0
costarenz1
sleepyrenz :
people dive into statistics just to swipe their card again after watching one of these videos 😭🍆🍆🍆
2026-06-05 21:27:33
1
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