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@anhcaychayrobloxne: Update Mới Của Grow A Garden 2 Dễ Vậy Sao ? #growagarden2 #roblox #xuhuong

Cày Chay Roblox
Cày Chay Roblox
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Region: VN
Tuesday 04 August 2026 12:52:38 GMT
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Comments

tudanh511
Tu Danh511 :
hiha180185
2026-08-17 12:17:31
0
anh.tuan2238
Dong :
dhggfir9
2026-08-17 23:48:38
0
t.nann0
T.an :
em tên givtrmas09 và em chúc anh Bình an
2026-08-12 01:45:52
0
lumxukoailai
trùm lụm xu :
fix rương rỗng 2027
2026-08-13 21:26:44
0
trieunguuuu
tên roblox trieun097 :
em fan anh lâu rồi trieun097
2026-08-11 23:56:16
0
uhpozi
. :
em tên wie
2026-08-15 07:22:26
0
tien80492
tien :
ffkgn_2
2026-08-16 15:16:33
0
tin.phan6123
Tiến Phan :
em tên khangph16
2026-08-14 01:18:16
0
p_huongcute12
phương 5/3 :
em tên phuongdiem494
2026-08-14 06:28:38
0
quanh_depzai8
Minh ngơ ngơ :
em làm hết rồi x_tt2025
2026-08-16 16:00:01
0
trang.spa26
Shop mẹ bom bơ :
09dat5
2026-08-12 08:19:07
0
jet.jet2126
Boy phố Ko có tiền :
Em gojodeptrai919
2026-08-15 04:32:14
0
user7160598257548
Tâm Phan :
cccvvvyg
2026-08-12 12:55:45
0
van.le6651
van le :
chuonglu2
2026-08-16 15:50:09
0
muadongcoe_08
𝙉𝙜 𝙩𝙞𝙝 𝙣𝙚𝙬. ♡ :
lạy ôg đi qua lạy bà đi lại lạy chủ tus tặng e ít e ms tập chs mandyzani1s
2026-08-04 15:50:27
0
jabbbvvbsbbb
muốn bên ai :
ngothanhan123vn
2026-08-12 03:23:14
0
haaboi123
(Hậu) :
mong anh cho (hau1t8)
2026-08-15 01:19:59
0
khly_083
khly_083 :
em làm hết rồi chúc anh càng ngày càng đẹp trai mong đc. lengockhanhhung2
2026-08-04 18:13:21
0
roblox.gjjguvic2
đẹp trai s1 kh có s2 :
quá trời bò luôn
2026-08-11 15:42:50
0
udushshdhhdhdudhd
Minh Vương 💗 :
veuwidjwol
2026-08-10 15:54:45
0
dichlenhietba3692_
mê idol trung :
khaisi431b pls 1 cây dragon 😊😊😊
2026-08-05 04:50:30
1
yn.ch.to
Yến Chè Táo :
em làm hết r ạ mong ah tặng minhihi402
2026-08-04 15:31:44
1
h3377606
H33 :
Anh ơi em follow rồi tên em Ranchua306789
2026-08-08 11:30:24
1
vet_thui
uyn :
em làm hết rồi mong được anh tặng đồ xịn ạ ( buyen0803210 )
2026-08-11 04:31:33
0
b_remitsune
b_remitsune :
lạy ông cho ti di pt_ducnhan122
2026-08-05 00:24:40
0
To see more videos from user @anhcaychayrobloxne, please go to the Tikwm homepage.

Other Videos

Recently, I implemented Justin Werlein’s Forever Model programmatically. I was surprised by its performance — the strategy produced a +41.88% return across 1,028 trades over a ~2.5-year backtest, with a max drawdown of just 13.28%. While it failed to outperform the buy-and-hold benchmark (which returned +86.43% in the same period), it maintained relatively consistent equity growth and avoided major volatility events. The win rate was 52.43%, with an average P&L of $40.74 per trade and a profit factor of 1.216 — meaning total gains were only slightly higher than total losses. Risk-adjusted metrics like the Sharpe ratio (0.37) and Sortino ratio (0.745) indicate that the strategy’s returns are modest when accounting for volatility and downside risk. The average winning trade was $438.01 vs. an average loss of $398.79, suggesting only a slight edge per trade. What stood out to me was how stable the model was — no margin calls, controlled drawdowns, and reasonably balanced long/short performance. That said, the edge is thin. This strategy would need optimization and possibly trade filtering to be viable in a live environment with slippage and fees. On my YouTube, I broke down the basic steps of converting a trade idea into a programmatic strategy, and I’ll continue to do so in more depth in coming videos — showing both successes and failures honestly. Comment which traders or strategies you want to see tested next.
Recently, I implemented Justin Werlein’s Forever Model programmatically. I was surprised by its performance — the strategy produced a +41.88% return across 1,028 trades over a ~2.5-year backtest, with a max drawdown of just 13.28%. While it failed to outperform the buy-and-hold benchmark (which returned +86.43% in the same period), it maintained relatively consistent equity growth and avoided major volatility events. The win rate was 52.43%, with an average P&L of $40.74 per trade and a profit factor of 1.216 — meaning total gains were only slightly higher than total losses. Risk-adjusted metrics like the Sharpe ratio (0.37) and Sortino ratio (0.745) indicate that the strategy’s returns are modest when accounting for volatility and downside risk. The average winning trade was $438.01 vs. an average loss of $398.79, suggesting only a slight edge per trade. What stood out to me was how stable the model was — no margin calls, controlled drawdowns, and reasonably balanced long/short performance. That said, the edge is thin. This strategy would need optimization and possibly trade filtering to be viable in a live environment with slippage and fees. On my YouTube, I broke down the basic steps of converting a trade idea into a programmatic strategy, and I’ll continue to do so in more depth in coming videos — showing both successes and failures honestly. Comment which traders or strategies you want to see tested next.
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