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@elitageralda: transisi ke sekian😇🎓

elita
elita
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Region: ID
Tuesday 03 November 2026 05:13:53 GMT
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Comments

itsme.princesvarah
$ :
haiii kaaaa litaaaaa congratulations on your college graduation sister Litaa is so beautiful😍🫰💞🫶😘
2026-11-03 13:21:53
0
anachylla
@ann.id :
Aku kira masih SMA sekitar kelas 2 😅
2026-11-04 03:34:46
1
araaaraa8516
ara🌺🌷 :
congratulations kak
2026-11-03 05:48:45
1
cacacaca0812
bazcca. :
selamat kaaa
2026-11-03 05:21:55
2
dwayu.kyla
★Candrik🅰️💢🍒 :
congrats kakak
2026-11-03 05:22:19
0
._nandarihiiiiiii
²⁶ :
haiii kakaa cantiii
2026-11-03 05:20:07
0
fdanvsh05
⋆ ˚｡⋆୨୧˚　˚୨୧⋆｡˚ ⋆ :
ke tiga
2026-11-03 05:17:21
1
cherriboww_.angel
୨ৎ :
kedua
2026-11-03 05:16:26
2
prettyy_grill68
:⋆. 𐙚˚࿔alwayslOov 🧜🏻 :
4
2026-11-03 05:17:54
1
nayyayyiy
oiylaa :
gercepp
2026-11-03 05:18:20
0
chenyihengcyh2
luvvv🌷(CYH) :
congrats kakk
2026-11-03 10:46:13
0
user1417739582490
©️i'k〰️ :
1
2026-11-03 05:15:57
1
kopisusu_321
1n1_cant1ka :
congratulations kak❤️❤️
2026-11-03 07:25:08
0
sukaiansopian
-rara suka chewy puki🧆 :
ke 12
2026-11-03 05:23:18
0
aqilah1867
AQILAH🪼 :
ke delapan
2026-11-03 05:20:00
0
rai.adelia
del? :
cantik banget🥰
2026-11-03 10:45:42
0
amel_17899
💫 :
ke 3
2026-11-03 05:17:38
0
farmaaaaa11
Far :
4
2026-11-03 05:17:53
0
rrgalih
rrgalih :
kak km kren skli
2026-11-04 06:09:15
0
To see more videos from user @elitageralda, please go to the Tikwm homepage.

Other Videos

#kazakhstan #uzbek #toshkent #uzbekiston #uzbekistan
#kazakhstan #uzbek #toshkent #uzbekiston #uzbekistan
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#creatorsearchinsights
مريم 🥺💕💕 #زفة #زفات_بالاسماء #محمد_عبده #fyp #جديد
مريم 🥺💕💕 #زفة #زفات_بالاسماء #محمد_عبده #fyp #جديد
#Karina#aespa#yujimin#
#Karina#aespa#yujimin#
RSI-2 pullback backtest on 16 years of E-mini S&P 500 futures, with every fill joined to the real bid-ask spread that was quoted at that exact second. 19,692 trades on 1-minute bars from August 2010 to August 2026, and the question was simple: which slice of the trading actually pays for the rest? The answer is none of them, and the reason is not the strategy. Split by hour of day, the result is flat: every hour of the session loses between $121.87 and $128.06 per trade, so the gap between your best hour and your worst hour is $6.19. That is the split anyone can do in a spreadsheet, and it tells you almost nothing. The split that matters is not in a trade log at all. We measured the actual top-of-book quote at 38,903 of the 39,384 fills from tick data. The rule has a genuine gross edge of $6.66 per trade and it is positive in all 17 calendar years. Getting in and out costs $131.27. That turns +$131,238 gross into -$2,453,552 net, an average of -$124.60 a trade. Robustness: buy and hold over the same window made $331,208. All 27 parameter settings lose, the best still down $1,430,678. Walk-forward out of sample across 59 quarterly windows delivered -$123.12 per trade, the same answer. 0 of 17 years positive. Double the costs and it is -$5,038,342. You cannot fix a $131 cost problem with a time-of-day filter. The 5.6 million minute bars and every quote behind them are included with QuantPad, no data vendor and no CSV hunting. #QuantPad #backtesting #algotrading #futurestrading #marketdata
RSI-2 pullback backtest on 16 years of E-mini S&P 500 futures, with every fill joined to the real bid-ask spread that was quoted at that exact second. 19,692 trades on 1-minute bars from August 2010 to August 2026, and the question was simple: which slice of the trading actually pays for the rest? The answer is none of them, and the reason is not the strategy. Split by hour of day, the result is flat: every hour of the session loses between $121.87 and $128.06 per trade, so the gap between your best hour and your worst hour is $6.19. That is the split anyone can do in a spreadsheet, and it tells you almost nothing. The split that matters is not in a trade log at all. We measured the actual top-of-book quote at 38,903 of the 39,384 fills from tick data. The rule has a genuine gross edge of $6.66 per trade and it is positive in all 17 calendar years. Getting in and out costs $131.27. That turns +$131,238 gross into -$2,453,552 net, an average of -$124.60 a trade. Robustness: buy and hold over the same window made $331,208. All 27 parameter settings lose, the best still down $1,430,678. Walk-forward out of sample across 59 quarterly windows delivered -$123.12 per trade, the same answer. 0 of 17 years positive. Double the costs and it is -$5,038,342. You cannot fix a $131 cost problem with a time-of-day filter. The 5.6 million minute bars and every quote behind them are included with QuantPad, no data vendor and no CSV hunting. #QuantPad #backtesting #algotrading #futurestrading #marketdata
rora had the brightest mood today-!! #rora #babymonster #leedain
rora had the brightest mood today-!! #rora #babymonster #leedain

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