@papafelicerecetas: 🇮🇹 ¡No prendas el horno! Haz esta Pizza en Sartén 🍕🔥 ¿Antojo de pizza pero sin ganas de prender el horno? 🍕 Prepara esta pizza en sartén ultra crujiente, fácil y en pocos minutos con el auténtico toque italiano. ¡Cuéntame en comentarios cuál es tu ingrediente favorito y guarda la receta! 🇮🇹👇 ✅ INGREDIENTES para 2 PIZZAS - 140 g agua (tibia 23/24 °C) - 6 g levadura fresca (o seca de panadería) - 240 g harina de trigo - 3 g sal - 10 g aceite de oliva extra virgen PARA CONDIMENTAR - 250 ml puré de tomate (tomate triturado, pasada de tomate, salsa de tomate) - sal (al gusto) - orégano (al gusto) - aceite de oliva extra virgen (al gusto) - 150 g mozzarella - hojas de albahaca (al gusto) #papáfelicerecetas #papáfelice #pizzaensarten #pizzasinhorno #recetasfaciles

Papá Felice
Papá Felice
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Region: MX
Tuesday 27 October 2026 20:00:35 GMT
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javierripio
Ripiocs :
yo la cocino de los dos lados
2026-10-28 18:47:39
2
canino_8
Canino_8 :
Yo le pondría PIÑA
2026-10-28 03:02:57
6
beto.premium
Don Beto Premium💫 :
jamón y piña 🍍🍍🍍😋
2026-10-28 05:00:02
2
vientochorrillero
Vanesa Montacuto :
Yo la hago así, pero vuelta y vuelta.
2026-10-30 05:44:50
1
sariel8261
Jesús :
Nohay que dejarlo fermentar un tiempo?
2026-10-28 14:19:14
1
miguel.picciuto
Miguel Picciuto :
excelente 👌👍
2026-10-28 01:22:01
1
rubeninsausti
R.A.I :
Yo le pondría paleta y queso
2026-10-28 00:06:46
1
karolreihino
karolrei :
la receta que tanto esperaba! gracias papá yo le pondré piña 🍍 y jamón ☺️se ve riquísimo
2026-10-28 05:20:42
1
thestornillados
thestornillados :
pensaba que solamente cobra corta la pizza con tijeras 🤣🤣🤣
2026-10-27 23:54:14
0
elsantos..ejej
un poeta enamorado :
usted es un capo señor
2026-10-27 20:03:03
1
gloriatorres5282
gloriatorres5282 :
Que ricura
2026-10-27 21:12:02
1
pdr201
SouthQ :
faltan 3kg de queso.
2026-10-31 23:24:49
0
cmc5192
Cmc :
Capo Amico
2026-10-28 08:32:46
1
marceloyale98
Marcelo y Ale 98 :
2026-10-28 04:16:32
1
rampage656572
Ramiel Adam :
Alioliii [Risita][Risita][Risita] o aceite de ajo !
2026-10-29 02:21:13
1
dyma03036pv
DYMA 🤠 :
por fin 🙏
2026-10-28 23:35:45
0
osiris.daniel.pre
Osiris Daniel Pérez :
👍👍👍
2026-10-28 00:15:43
1
bubu0557
Pilar Sotomayor :
😋😋😋😋😋😋😋😋
2026-10-28 21:55:17
0
tallerquinto77
tallerquinto77 :
😳😳😳
2026-10-31 19:32:57
0
To see more videos from user @papafelicerecetas, please go to the Tikwm homepage.

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Walk-forward backtest optimization tested on 16 years of E-mini S&P 500 futures data. We optimized three strategies on a rolling 2-year window, then traded the chosen settings blind on the next 6 months, and rolled that forward 28 times each. Donchian breakout, moving average crossover and Connors RSI2. 138 parameter combinations, re-selected at every step. In training the selected settings made $1,458,122. Out of sample the same settings lost $604,740. That is a pooled out-of-sample to in-sample ratio of -0.41, in all three strategy families. The edge did not shrink, it inverted. The part we did not expect: for every fold we also scored a parameter set picked at random from the same grid. Across 84 paired tests the optimized choice lost to the random one by about $5,067 a fold (paired t-test p = 0.027), and lost to the grid median by $5,486 (p = 0.0003). Optimizing did worse than not bothering. Costs were measured, not assumed. 73,737,856 real top-of-book quotes across 16 days spread over 2010 to 2025 give a 0.2606 point average spread and a $13.03 round turn. At double that cost the ratio is -0.44. 7 of 15 years were positive, so this is not one bad year, and buy and hold made $310,148 over the same windows and beat all of it. Validation label: walk-forward out of sample, no evidence of exploitable edge. The 5.6 million minute bars and the 73.7 million quotes behind this are included with QuantPad. No vendor account, no CSV hunting. #QuantPad #backtesting #algotrading #quanttrading #futurestrading
Walk-forward backtest optimization tested on 16 years of E-mini S&P 500 futures data. We optimized three strategies on a rolling 2-year window, then traded the chosen settings blind on the next 6 months, and rolled that forward 28 times each. Donchian breakout, moving average crossover and Connors RSI2. 138 parameter combinations, re-selected at every step. In training the selected settings made $1,458,122. Out of sample the same settings lost $604,740. That is a pooled out-of-sample to in-sample ratio of -0.41, in all three strategy families. The edge did not shrink, it inverted. The part we did not expect: for every fold we also scored a parameter set picked at random from the same grid. Across 84 paired tests the optimized choice lost to the random one by about $5,067 a fold (paired t-test p = 0.027), and lost to the grid median by $5,486 (p = 0.0003). Optimizing did worse than not bothering. Costs were measured, not assumed. 73,737,856 real top-of-book quotes across 16 days spread over 2010 to 2025 give a 0.2606 point average spread and a $13.03 round turn. At double that cost the ratio is -0.44. 7 of 15 years were positive, so this is not one bad year, and buy and hold made $310,148 over the same windows and beat all of it. Validation label: walk-forward out of sample, no evidence of exploitable edge. The 5.6 million minute bars and the 73.7 million quotes behind this are included with QuantPad. No vendor account, no CSV hunting. #QuantPad #backtesting #algotrading #quanttrading #futurestrading

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