@oliviapaytenn:

Olivia Payten

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Region: ID

Tuesday 18 August 2026 13:07:49 GMT

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mas bayu gantenk :

pertama kak oliv

2026-08-18 13:10:08

2

sultan rahira :

makin cakep aja nih😘😘

2026-08-18 23:18:14

0

Donie Prasastya Kusuma :

2026-08-18 13:31:40

1

Edi Pandawa :

menyala

2026-08-18 13:25:23

1

kingki98 :

mantap

2026-08-18 23:04:16

0

alaydruss :

cantik banget kak

2026-08-18 13:13:31

0

Gga :

kesukaan gue

2026-08-18 14:53:17

0

Wafirr :

aku gak kuat Oliv

2026-08-18 20:16:25

0

Aleksander 209 :

hei kaos putih

2026-08-18 13:19:27

0

nayareal73 :

liat profil ku deh

2026-08-19 02:13:22

1

nayabela :

liat profil ku deh

2026-08-19 00:38:19

2

ARDIY #038 :

😍😍😍

2026-08-18 13:26:59

1

superrnikaaa :

🥰

2026-08-18 13:12:15

1

ALV1N :

🤤🤤🤤

2026-08-18 23:35:25

0

I FACE :

🥰🥰🥰

2026-08-19 00:01:31

0

AndreasBin :

👍👍👍

2026-08-18 13:13:36

1

To see more videos from user @oliviapaytenn, please go to the Tikwm homepage.

Other Videos

Lookism vs Baki Red>>>>>Yujiro #lookism #lookismspoiler #外見至上主義 #lookismmanhwa #apari3ncias

Lookism vs Baki Red>>>>>Yujiro #lookism #lookismspoiler #外見至上主義 #lookismmanhwa #apari3ncias

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.

I CAN'T EXPLAIN THIS 😳#foryoupage #foryou #fyp

I CAN'T EXPLAIN THIS 😳#foryoupage #foryou #fyp

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