@prizmatv.az: #şəmistanfikrətli #prizmatv

Shemistan.Fikretli-Prizmatv.az
Shemistan.Fikretli-Prizmatv.az
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Region: AZ
Tuesday 15 September 2026 13:38:06 GMT
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can.ti.v.forel.sat
Şahin :
SALAM ZAKİR MÜƏLLİM. SUMQAYITIN YOLLARININ ÜMİDİ ALLAHA QALIB. SALAAAAMMMM.
2026-09-15 15:26:36
25
mlive047
M77 :
Var ol şəhərimizin dəyərli məmuru dəyərli axsaqqalı.
2026-09-15 17:09:41
2
svetaaaaaa63
Svetaaaaa63 :
Yatagxanalarda bis veziyyetde yaşayan uşaglarında halın soruşey 12 nömreli yatagxana uculur..
2026-09-15 18:23:54
1
poseydon748
poseydon :
Это Президент и Хан Сумгаита который ходить с охраной и все дороги закрывають .
2026-09-15 14:15:55
9
user9519s0u
user01 :
Sumqayıtı və sumqayıtlını sevən insan!Allah can sağlığı versin
2026-09-15 15:56:16
1
.._..e.m
M. E. M :
MƏN BU KİSİN QEBULUNA DÜŞƏ BILMEDIM😔😔
2026-09-15 15:31:26
1
sakin_qazi
Sakin070✅ :
Cenab Başci Allah size Can Sagligi versin.
2026-09-15 15:55:36
1
nn_____991
Ayxan_009 :
Qedır mellım Sumqayıtın no 1 dırektoru 🖤👍
2026-09-15 16:39:41
1
cabbarovakif
Şəhid Cabbarov Akif :
Allah sizə can sağliği versin 🙏
2026-09-15 14:18:39
1
uguronur041
🆇🅰🅽🅻🅰🆁🅾🆅✅ :
Deyerli Zakir müellim 🥰👍
2026-09-15 14:53:39
1
namiq.veyslli
Namiq Veysəlli :
Zakir Müəllim. ALLAH QORUSUN
2026-09-15 18:49:00
0
_vuqu_
V :
sumqayitin kucelerin sat sekileri sat mehlelerin icin navastroykalar XIRDALANIN gunune qoy indide salamlaw
2026-09-15 14:13:35
10
zaman.quliev
zaman.quliev :
Müəllimə öncədən məşq etdirməli idi
2026-09-15 13:54:04
3
bozqurdresulov
BOZ-QURD :
Bu ancaq məktəblərdə görünür şəhərin yolları bərbad haldadı kordular
2026-09-15 17:28:43
0
kuku.kuku.5
love 🌹 :
ayalla😂
2026-09-15 17:36:12
0
huseynzade_n
Huseynzade🇦🇿 :
Bığlı kimdir
2026-09-15 18:22:44
0
alpinist_555
fortune :
o ilhaməye bir deyinde..bugun mekteb basliyib hele.xirdalan 2 nomrelini direktoru gulnaz asagi siniflerden 15 manat pul yigdirir.xeberi var bundan. adin da qoyublar 10 manat fond pulu 5 manat remont pulu elavede 2 manat gundeliye yigirlar..
2026-09-15 16:25:22
0
savasci8686
🇦🇿Savaşçı🇦🇿 :
👍👍👍
2026-09-15 14:20:46
0
niaqarazzz
m :
🤲🤲🤲🤲
2026-09-15 18:19:26
0
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Other Videos

A backtest by itself means almost nothing. You can make an equity curve look incredible if you optimize enough s*** on the same historical data. The real question is: does the strategy survive when you statistically try to break it? That’s what we did with ORB. We used walk-forward optimization: optimize in-sample, lock the parameters, then test them on the next unseen out-of-sample period. Then roll everything forward and repeat. And before some empiricist comes in here screaming “DATA MINING BIAS” 😂 Yes, we thought about that too. This isn’t a strategy with 47 indicators and 100 parameters that we tortured until something worked. The ORB framework is intentionally simple with relatively few degrees of freedom. More importantly, we weren’t searching for one magical parameter combination. We wanted stability across neighboring configurations and different walk-forward windows. And that’s what we found. The strategy passed across the entire OOS% / walk-forward-run grid tested rather than surviving in one lucky pocket. The majority of rolling OOS windows were profitable, and no single period generated more than half of the total profit. That helps us attack: Curve fitting → repeatedly test unseen data. Look-ahead → lock parameters before the next chronological OOS period. Data mining → limit degrees of freedom and look for broad stability instead of one perfect result. Lucky-period dependence → make sure one abnormal period isn't responsible for the strategy. Then comes the test no statistical validation can replace: Run the d*** thing live. Because none of this guarantees future profitability. We eventually deployed these systems ourselves, have successfully received prop-firm payouts with them, and have had members receive payouts as well. That’s the entire point. If you want to see the multiple ORB variations and the data behind them - visit the link in our bio! #daytrading #futures #orb #propfirmstrategy #automatedtrading
A backtest by itself means almost nothing. You can make an equity curve look incredible if you optimize enough s*** on the same historical data. The real question is: does the strategy survive when you statistically try to break it? That’s what we did with ORB. We used walk-forward optimization: optimize in-sample, lock the parameters, then test them on the next unseen out-of-sample period. Then roll everything forward and repeat. And before some empiricist comes in here screaming “DATA MINING BIAS” 😂 Yes, we thought about that too. This isn’t a strategy with 47 indicators and 100 parameters that we tortured until something worked. The ORB framework is intentionally simple with relatively few degrees of freedom. More importantly, we weren’t searching for one magical parameter combination. We wanted stability across neighboring configurations and different walk-forward windows. And that’s what we found. The strategy passed across the entire OOS% / walk-forward-run grid tested rather than surviving in one lucky pocket. The majority of rolling OOS windows were profitable, and no single period generated more than half of the total profit. That helps us attack: Curve fitting → repeatedly test unseen data. Look-ahead → lock parameters before the next chronological OOS period. Data mining → limit degrees of freedom and look for broad stability instead of one perfect result. Lucky-period dependence → make sure one abnormal period isn't responsible for the strategy. Then comes the test no statistical validation can replace: Run the d*** thing live. Because none of this guarantees future profitability. We eventually deployed these systems ourselves, have successfully received prop-firm payouts with them, and have had members receive payouts as well. That’s the entire point. If you want to see the multiple ORB variations and the data behind them - visit the link in our bio! #daytrading #futures #orb #propfirmstrategy #automatedtrading

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