@deltatrendtrading: When backtesting any strategy, manual or programmatic, it is critically important that you have a grasp on how confident you can be in your performance statistics. It’s very easy to perform a small back test of, say, under 100 trades with sizable variability in returns, drawdown, run-up, etc., and derive metrics from them that look favorable. If you don’t scrutinize those metrics and understand how confident you can be in their accuracy, then your backtest has little utility in the first place, and does not tell you much about how the future might play out. #quant #quanttrading #quantfinance #trading
Thomas
Region: US
Monday 03 November 2025 21:50:25 GMT
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andretradesnq :
thomas quant is very smart
2025-11-03 22:22:51
1
kole :
Yea again it’s just a session brother, winrate is not gonna be 90% over a longer term, and I do preface this in videos, I’ve personally noticed my performance decreases with longer sessions just due to my focus mental battery etc, if I sat there for 3 hours and did 100 trades probably would be 70-75
2025-11-04 02:58:37
162
Muffin-Ninja-TTV :
Monte Carlo doesn’t know you bro
2025-11-04 01:40:23
17
Bon :
homie loves his monte carlo simulations😭
2025-11-03 22:47:48
82
KyluuQ :
😭 13 trades lol
2025-11-04 01:06:45
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Owen :
Yeah this is why I implement margin of error into the data collected from my strategy to eliminate any discrepancy between observed and true statistical output of a strat. I still trade ICT and I can statically prove it works with this implementation, a large amount of collected data, and Monte Carlo simulations.
2025-11-04 05:13:29
4
123456789 :
But u cant build a program and use ML to teach it discretion since ML uses only quantifiable data and the whole point of discretion is using non-quantifiable information
2025-11-07 22:00:45
4
M :
What software are you using for this analysis?
2025-11-04 01:36:17
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Eoin :
What program do you use to backtest
2026-02-17 03:53:26
1
andrew :
What software are you using for this?
2025-11-04 03:42:32
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yungbibbles :
13 trade backtest???? I back tested 6.5 years and I’m still not 100% confident in the results lmfaooo.
2025-12-28 17:50:21
2
griffin :
What does hating on other people do for you man like just trade ur way and let other people like Kole trade how they want it’s just sad seeing u hate on all these people when u don’t ever post any profits lmao
2025-11-09 21:42:55
0
Thomas :
To be clear: In the Monte Carlo simulation, I *plot* only a few equity paths, but we simulate 10,000 total paths (without showing) to derive the shown statistics.
2025-11-03 22:31:04
3
ye :
First
2025-11-03 21:52:44
1
R Kar Phyo639 :
Bro How do you avoid pitfalls in over turning the backtesting strategy? If you can share general guidelines on backtesting and over-tuning strategy, it will be great help for us
2025-11-17 10:59:01
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RobertT :
over fitting is like the most common thing I see in discretionary trading strategies, And especially for algorithms
2025-11-03 21:57:25
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Hooper Algo Fx :
Sample size is so small you can’t do anything with it, you really need a few hundred minimum to even grasp if it has an edge.
2025-11-04 12:13:30
2
blake :
my head hurts, but he’s the goat 🥷
2025-11-04 13:01:47
1
EJF.Futures :
Where can I get this data on my own strategy
2025-11-28 18:57:53
0
IBuildSystems :
13 trade sample
2025-11-24 02:05:44
0
JoseViteri :
Not doing it on Nasdaq BTW
2026-01-06 04:34:43
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Ryan :
Did you use a python library or backtesting platform?
2026-05-29 17:33:54
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Robert Erolan :
What bootstrap do you use? Is it IID or day block?
2026-02-22 06:44:40
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whereisartur :
13 trades is crazy bro😭
2026-07-19 22:09:55
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meow :
can you code mark minervinis strategy
2025-11-04 22:46:20
0
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