Short Trade on PENGU

The 14 Dec 2025 at 21:05:30

With 99391.1488 PENGU at 0.01067$ per unit.

Position size of 1060.6029 $

Take profit at 0.01051 (1.5 %) and Stop Loss at 0.01075 (0.75 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.55
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.72
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.769076

15m : 0.114569

1H : -0.088495

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 5.366004316E-5
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.0105861
  4. ema21 - 0.0107096
  5. ema50 - 0.0108813
  6. ema100 - 0.0110488
  7. price_ema9_diff - 0.00801168
  8. ema9_ema21_diff - -0.011529
  9. ema21_ema50_diff - -0.015778
  10. price_ema100_diff - -0.0341985
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.261502
  14. ema_slope_21 - -0.235224
  15. ema_slope_50 - -0.144279
  16. ema_slope_100 - -0.096224
  17. rsi - 0.45043
  18. adx - 0.287958
  19. kc_percentage - 0.450661
  20. kc_width_percentage - 0.055424
  21. volume_ema_diff - -0.280624
  22. volume_ema1 - 316287.1787339
  23. volume_ema2 - 439669.00294663
  24. chop - 40.7153
  25. regime - bear_high
  26. ¸
  27. 15m
  28. ema9 - 0.010536
  29. ema21 - 0.0105124
  30. ema50 - 0.0106013
  31. ema100 - 0.0107549
  32. price_ema9_diff - 0.0128096
  33. ema9_ema21_diff - 0.00224721
  34. ema21_ema50_diff - -0.0083846
  35. price_ema100_diff - -0.00780567
  36. all_emas_in_trend - False
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.0635395
  39. ema_slope_21 - -0.0172254
  40. ema_slope_50 - -0.0561051
  41. ema_slope_100 - -0.0576998
  42. rsi - 0.652289
  43. adx - 0.386824
  44. kc_percentage - 0.936378
  45. kc_width_percentage - 0.0343157
  46. volume_ema_diff - -0.215412
  47. volume_ema1 - 83952.494347093
  48. volume_ema2 - 107002.03818211
  49. chop - 37.1383
  50. regime - range_high
  51. ¸
  52. 5m
  53. ema9 - 0.0106083
  54. ema21 - 0.0105385
  55. ema50 - 0.0104991
  56. ema100 - 0.0105177
  57. price_ema9_diff - 0.00590593
  58. ema9_ema21_diff - 0.0066198
  59. ema21_ema50_diff - 0.00375865
  60. price_ema100_diff - 0.01457
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.148387
  64. ema_slope_21 - 0.0948992
  65. ema_slope_50 - 0.0396073
  66. ema_slope_100 - 0.0121798
  67. rsi - 0.694312
  68. adx - 0.341102
  69. kc_percentage - 1.0905
  70. kc_width_percentage - 0.0204055
  71. volume_ema_diff - -0.349782
  72. volume_ema1 - 22981.39492786
  73. volume_ema2 - 35344.169960346
  74. chop - 34.4249
  75. regime - bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 88593.8
  80. 5m_price_ema100_diff: 0.00964522
  81. 5m_price: 89448.4
  82. 5m_correlation_with_coin: 0.769076
  83. btc_indicators
  84. 15m_ema100: 89170
  85. 15m_price_ema100_diff: 0.00312127
  86. 15m_price: 89448.4
  87. 15m_correlation_with_coin: 0.114569
  88. btc_indicators
  89. 1H_ema100: 90273.6
  90. 1H_price_ema100_diff: -0.00914196
  91. 1H_price: 89448.4
  92. 1H_correlation_with_coin: -0.088495
  93. ¸

📌 Time Data

Start at Closed at Duration
14 Dec 2025
21:05:30
14 Dec 2025
21:15:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01067 0.01075 0.01051 2 0.01011
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.01067
  • Stop Loss: 0.01075
  • Take Profit: 0.01051

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01075 - 0.01067 = 7.9999999999998E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01067 - 0.01051 = 0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00016 / 7.9999999999998E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1060.6029 100 99391.1488 10.61
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 7.9999999999998E-5

Taille de position = 8 / 7.9999999999998E-5 = 100000

Taille de position USD = 100000 x 0.01067 = 1067

Donc, tu peux acheter 100000 avec un stoploss a 0.01075

Avec un position size USD de 1067$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 7.9999999999998E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 100000
  • Taille de position USD 1067
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.5 % 15.9 $
SL % Target SL $ Target
0.75 % 7.95 $
PNL PNL %
-7.95 $ -0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1059 % 147.49 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01051
            [entry_price] => 0.01067
            [stop_loss] => 0.010758
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-14 21:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01051
            [entry_price] => 0.01067
            [stop_loss] => 0.010766
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-14 21:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01051
            [entry_price] => 0.01067
            [stop_loss] => 0.010774
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-14 21:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01051
            [entry_price] => 0.01067
            [stop_loss] => 0.01079
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-14 21:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.000143
            [rr_ratio] => 0.98
            [high] => 0.01081300
            [low] => 0.01053000
            [mfe_pct] => 1.31
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 24
            [start_at] => 2025-12-14T21:05:30-05:00
            [end_at] => 2025-12-14T23:05:30-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000182
            [max_drawdown] => 0.000143
            [rr_ratio] => 1.27
            [high] => 0.01081300
            [low] => 0.01048800
            [mfe_pct] => 1.71
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 84
            [start_at] => 2025-12-14T21:05:30-05:00
            [end_at] => 2025-12-15T04:05:30-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01073600
            [high_after] => 0.01081300
            [low_before] => 0.01026300
            [low_after] => 0.01048800
            [is_new_high] => 
            [is_new_low] => 
        )

)