Bollinger/Keltner squeezelong
Resultados de Backtest @ WMT • 1 Hour

Esta estrategia compra cuando las Bandas de Bollinger están comprimidas en el Canal de Keltner. Esto normalmente indica que el mercado está moviéndose lateralmente. Esta estrategia luego vende cuando el precio va por debajo de la línea media de las Bandas de Bollinger. La idea es comprar durante el mercado obviamente lateral, esperando que estalle.

Curva de Equidad

El backtest cubre 5.7 years de datos WMT • 1 Hour (Walmart Inc.), desde October 25, 2019 hasta July 11, 2025.

La curva de equidad es el rendimiento de la estrategia a lo largo del tiempo. Debes compararla con el rendimiento de Compra y Mantén del activo. En general, quieres que el área azul esté bien por encima del área gris.

El drawdown es cuántas pérdidas (realizadas o no realizadas) ha tenido la estrategia si se compara con el pico más alto de equidad. Compara esto con el drawdown del activo para ver si tu estrategia hace un trabajo decente de aislarte de la volatilidad bajista. En general, el área roja debe estar bien dentro del área gris.

Curva de Equidad
Estrategia
Activo
Drawdown de Estrategia
Drawdown de Activo

Entonces, hemos hecho backtest de Bollinger/Keltner squeeze en 5.7 years de velas WMT • 1 Hour. Este backtest resultó en 150 posiciones, con una tasa de ganancia promedio de 46% y una relación riesgo-recompensa de 1.61. Si asumes que la relación riesgo-recompensa de 1.61 se mantiene, necesitas una tasa de ganancia mínima de 38.3 para ser rentable. Así que vas bien hasta ahora. Las métricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 25.80% vs 138.20% para el activo
  2. Máximo Drawdown: Máximo Drawdown: -9.30% vs -26.90% para el activo
  3. Exposición: Exposición: 24.60% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 46.0%, vs 38.3% mínimo
  5. Relación Riesgo/Recompensa: Relación Riesgo/Recompensa: 1.61

Con esa exposición en mente, puedes ver que para 25% tiempo-en-mercado, obtienes 18.67% del potencial alcista del activo, y 34.57% del potencial bajista del activo.

Bollinger/Keltner squeeze: entrar en una posición cuando

All of the following: # Whiskey
  60min Chart(close) (2 candles ago) < 60min Bollinger Bands ® (20, 2, 2, 0, close), Up (2 candles ago)
  60min Chart(close) (1 candles ago) > 60min Bollinger Bands ® (20, 2, 2, 0, close), Up (1 candles ago)
  60min Bollinger Bands ® (20, 2, 2, 0, close), Up (1 candles ago) < 60min Keltner Channel (20, SMA, 10, 2, 0, close), Up (1 candles ago)
  60min BB (20, 2, 2, 0, close) (1 candles ago) > 60min Keltner (20, SMA, 10, 2, 0, close) (1 candles ago)

Bollinger/Keltner squeeze: salir de una posición cuando

Any of the following: # Papa
  60min Chart(close) < 60min Bollinger Bands ® (20, 2, 2, 0, close), Middle

Bollinger/Keltner squeeze @ WMT • 1 Hour (25.8%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The metrics show some concerning patterns that make me skeptical about this strategy's robustness. The Win Rate of 46% combined with 1.61 Risk/Reward is mathematically viable, but the strategy significantly underperforms buy & hold (25.8% vs 138.2%) while still exposing you to notable drawdowns of -9.3%.

The trading frequency is quite low with only 4.3 trades per month. This makes the statistical significance questionable, even though we have 150 trades over 5.7 years. The negative Sharpe ratio (-0.28) and near-zero Sortino ratio (0.06) indicate poor risk-adjusted returns. This suggests the strategy is not generating alpha relative to its risk exposure.

I notice also the market exposure is only 24.6%, which could be good for a part-time strategy. But with these metrics, I would rather look for ways to optimize the entry conditions. The Bollinger/Keltner squeeze is theoretically sound, but the implementation here seems to need work. Maybe we should adjust the lookback periods or the standard deviation multipliers to generate more reliable signals.

Mike

Autor

Yo fam, let me break down this Bollinger/Keltner squeeze strategy on WMT! 🔍

The stats are showing some interesting potential here. With a 46% win rate and a solid 1.61 risk/reward ratio, we're actually running way above the minimal required win rate (38.3%). That's like having a safety net under our trading trapeze! The average winner brings in 1.32% while average losses are kept at -0.82%, which isn't too shabby for an hourly timeframe. 💪

But here's the thing - the strategy's total return of 25.8% over 5.7 years is kinda underwhelming compared to WMT's buy & hold return of 138.2%. That said, we're only in the market 24.6% of the time, which means way less exposure to market risks and more time to flip burgers at Wendy's! The max drawdown of -9.3% is pretty manageable too, way better than the stock's -26.9% drawdown. 📉

I'm actually pretty stoked about this setup for someone looking for a chill, part-time trading strategy. It's not gonna make us millionaires overnight, but with about 4 trades per month and decent risk metrics, it could be a nice side hustle while we stack those Wendy's paychecks! Just gotta manage those occasional 6-trade losing streaks without losing our cool! 🎯🚀

Sarah

Autor

Madre de Dios, this strategy is a complete desaster! Let me tell you why this is basically throwing money out of the window.

First, look at that pathetic 25.8% net profit over 5.7 years when buy & hold made 138.2%! You're not only underperforming the market by a ridiculous margin, you're doing it with a negative Sharpe ratio of -0.28. That means you're taking on risk without proper compensation - it's like paying someone to punch you in the face!

The win rate of 46% would be acceptable if your winners were significantly bigger than your losers, but they're not! Your average win is just 1.32% while average loss is -0.82%. That's not enough edge to justify trading costs and the emotional rollercoaster of those 6-trade losing streaks you're experiencing.

The only remotely positive thing I see is the decent win rate leeway above the minimal required win rate. But honestly, who cares when your strategy is bleeding money compared to simply buying and holding? This is what happens when people get too clever with their indicators without understanding basic market dynamics.

My advice? Throw this strategy in the garbage where it belongs. If you want to trade WMT, either find something that actually beats buy & hold or just buy and hold it like a normal person.

Métricas tabulares de Bollinger/Keltner squeeze sometido a backtest en WMT • 1 Hour

Total de Operaciones150Beneficio Neto25.8%Beneficio Compra y Mantén138.2%
Tasa de Ganancia46%Ratio Riesgo/Recompensa1.61Máximo Drawdown-9.3%
Máximo Drawdown del Activo-26.9%Exposición24.6%Promedio de Velas en Posición15.4
Ratio de Sharpe-0.28Ratio de Sortino0.06Volatilidad Realizada7.55%
Racha Máxima de Ganancia4Racha Promedio de Ganancia1.8Racha Máxima de Pérdida6
Racha Promedio de Pérdida2.1Promedio de Operaciones por Mes4.3Promedio de Operaciones por Día0.1
Desv. Est. del Retorno1.5Desv. Est. de la Pérdida0.7Desv. Est. de la Ganancia1.3
Expectativa0.2Beta0.2

Todos los backtests para Bollinger/Keltner squeeze

common.strategyexposiciónrendimiento vs activodrawdown vs activotasa de gananciarecompensa/ riesgo
BTCUSD • 1 Minute
13%(0.2%/9.8%) 0.02x(-0.4%/-1.6%) 0.25x491.2
EURUSD • 1 Minute
17%(-0.1%/-0.9%) 0.11x(-0.5%/-1.2%) 0.42x282.4
GLD • 1 Minute
18%(3.6%/0.0%) Infinityx(-1.0%/-5.5%) 0.18x354.0
NVDA • 1 Minute
24%(8.1%/16.7%) 0.49x(-1.8%/-4.4%) 0.41x432.4
SPY • 1 Minute
23%(1.0%/4.6%) 0.22x(-1.6%/-2.1%) 0.76x332.4
TSLA • 1 Minute
23%(-14.5%/-10.3%) 1.41x(-15.5%/-21.4%) 0.72x281.3
WMT • 1 Minute
18%(-3.8%/-5.4%) 0.70x(-3.9%/-6.4%) 0.61x311.4
BTCUSD • 10 Minutes
19%(1.0%/27.2%) 0.04x(-6.3%/-12.1%) 0.52x351.9
EURUSD • 10 Minutes
24%(-0.3%/6.5%) -0.05x(-4.3%/-4.3%) 1.00x302.3
GLD • 10 Minutes
19%(-4.0%/43.7%) -0.09x(-8.0%/-8.3%) 0.96x371.4
NVDA • 10 Minutes
25%(-12.1%/32.9%) -0.37x(-24.9%/-42.8%) 0.58x361.6
SPY • 10 Minutes
26%(-0.3%/14.3%) -0.02x(-5.6%/-20.7%) 0.27x381.6
TSLA • 10 Minutes
24%(4.7%/59.0%) 0.08x(-32.8%/-55.3%) 0.59x401.6
WMT • 10 Minutes
27%(17.3%/40.1%) 0.43x(-6.2%/-23.8%) 0.26x441.9
BTCUSD • 1 Hour
25%(19.1%/71.4%) 0.27x(-21.5%/-31.0%) 0.69x421.7
EURUSD • 1 Hour
26%(4.9%/8.2%) 0.60x(-2.8%/-9.0%) 0.31x411.9
GLD • 1 Hour
16%(6.2%/117.6%) 0.05x(-18.6%/-22.2%) 0.84x421.6
NVDA • 1 Hour
26%(364.4%/3126.3%) 0.12x(-34.2%/-68.0%) 0.50x492.5
SPY • 1 Hour
22%(8.9%/106.7%) 0.08x(-12.4%/-35.1%) 0.35x411.7
TSLA • 1 Hour
21%(505.6%/1395.5%) 0.36x(-34.5%/-75.1%) 0.46x433.1
WMT • 1 Hour
25%(25.8%/138.2%) 0.19x(-9.3%/-26.9%) 0.35x461.6
BTCUSD • Daily
28%(2515.4%/67440.2%) 0.04x(-51.5%/-83.8%) 0.61x454.2
EURUSD • Daily
25%(5.2%/10.8%) 0.48x(-9.1%/-23.3%) 0.39x391.9
GLD • Daily
17%(13.2%/595.1%) 0.02x(-21.1%/-45.3%) 0.47x391.9
NVDA • Daily
26%(577.6%/373678.5%) 0.00x(-51.4%/-90.0%) 0.57x432.5
SPY • Daily
22%(14.1%/1316.3%) 0.01x(-39.4%/-56.7%) 0.69x391.9
TSLA • Daily
24%(1451.6%/24185.2%) 0.06x(-38.8%/-75.0%) 0.52x473.9
WMT • Daily
26%(-44.0%/9978.0%) -0.00x(-74.7%/-50.6%) 1.48x361.6