Short Trade on PENGU 02 Nov 2025 at 18:10:11

Take profit at 0.01737 (1.08 %) and Stop Loss at 0.01766 (0.57 %)

Short Trade on PENGU

The 02 Nov 2025 at 18:10:11

With 85096.934 PENGU at 0.01756$ per unit.

Position size of 1494.3873 $

Take profit at 0.01737 (1.08 %) and Stop Loss at 0.01766 (0.57 %)

That's a 1.9 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.61
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.58
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.761331

15m : -0.146724

1H : -0.037676

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 6.267362506E-5
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.017478
  4. ema21 : 0.017648
  5. ema50 : 0.017999
  6. ema100 : 0.0186272
  7. price_ema9_diff : 0.00474882
  8. ema9_ema21_diff : -0.00963675
  9. ema21_ema50_diff : -0.0195001
  10. price_ema100_diff : -0.0572411
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.226709
  14. ema_slope_21 : -0.18174
  15. ema_slope_50 : -0.14534
  16. ema_slope_100 : -0.136055
  17. rsi : 0.453182
  18. adx : 0.297104
  19. kc_percentage : 0.42707
  20. kc_width_percentage : 0.0579101
  21. volume_ema_diff : -0.489273
  22. volume_ema1 : 203372.1542747
  23. volume_ema2 : 398201.59884717
  24. chop : 53.2734
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0173946
  29. ema21 : 0.017394
  30. ema50 : 0.0175177
  31. ema100 : 0.0176907
  32. price_ema9_diff : 0.00956366
  33. ema9_ema21_diff : 3.24128E-5
  34. ema21_ema50_diff : -0.007062
  35. price_ema100_diff : -0.00733293
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0354748
  39. ema_slope_21 : -0.0147462
  40. ema_slope_50 : -0.0431213
  41. ema_slope_100 : -0.041249
  42. rsi : 0.582907
  43. adx : 0.223607
  44. kc_percentage : 0.879339
  45. kc_width_percentage : 0.0254512
  46. volume_ema_diff : -0.0231248
  47. volume_ema1 : 78725.26547009
  48. volume_ema2 : 80588.869332287
  49. chop : 59.5756
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.0174366
  54. ema21 : 0.0173986
  55. ema50 : 0.0173796
  56. ema100 : 0.0173833
  57. price_ema9_diff : 0.00713133
  58. ema9_ema21_diff : 0.00218514
  59. ema21_ema50_diff : 0.00109167
  60. price_ema100_diff : 0.0102215
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0161152
  64. ema_slope_21 : 0.0114029
  65. ema_slope_50 : 0.0057773
  66. ema_slope_100 : 0.00164119
  67. rsi : 0.667958
  68. adx : 0.202321
  69. kc_percentage : 1.11548
  70. kc_width_percentage : 0.0148567
  71. volume_ema_diff : 0.314578
  72. volume_ema1 : 28130.086827803
  73. volume_ema2 : 21398.564223661
  74. chop : 36.3087
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    110059
  80. 5m_price_ema100_diff:
    0.00171033
  81. 5m_price:
    110248
  82. 5m_correlation_with_coin:
    0.761331
  83. btc_indicators
  84. 15m_ema100:
    110228
  85. 15m_price_ema100_diff:
    0.000174953
  86. 15m_price:
    110248
  87. 15m_correlation_with_coin:
    -0.146724
  88. btc_indicators
  89. 1H_ema100:
    110061
  90. 1H_price_ema100_diff:
    0.00169162
  91. 1H_price:
    110248
  92. 1H_correlation_with_coin:
    -0.037676
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
02 Nov 2025
18:10:11
02 Nov 2025
18:15:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01756 0.01766 0.01737 1.9 0.006764
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 0.01756
  • Stop Loss: 0.01766
  • Take Profit: 0.01737

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01766 - 0.01756 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01756 - 0.01737 = 0.00019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019 / 9.9999999999999E-5 = 1.9

📌 Position Size

Amount Margin Quantity Leverage
1494.3873 100 85096.934 14.94
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01756 = 1404.8

Donc, tu peux acheter 80000 avec un stoploss a 0.01766

Avec un position size USD de 1404.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00019 = 15.2

Si Take Profit atteint, tu gagneras 15.2$

Résumé

  • Taille de position 80000
  • Taille de position USD 1404.8
  • Perte potentielle 8
  • Gain potentiel 15.2
  • Risk-Reward Ratio 1.9

📌 Peformances

TP % Target TP $ Target
1.08 % 16.17 $
SL % Target SL $ Target
0.57 % 8.51 $
PNL PNL %
-8.51 $ -0.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9795 % 171.99 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01737
            [entry_price] => 0.01756
            [stop_loss] => 0.01767
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-02 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01737
            [entry_price] => 0.01756
            [stop_loss] => 0.01768
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-02 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01737
            [entry_price] => 0.01756
            [stop_loss] => 0.01769
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-02 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01737
            [entry_price] => 0.01756
            [stop_loss] => 0.01771
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-02 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000157
            [max_drawdown] => 0.000359
            [rr_ratio] => 0.44
            [high] => 0.01791900
            [low] => 0.01740300
            [mfe_pct] => 0.89
            [mae_pct] => 2.04
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 24
            [start_at] => 2025-11-02T18:10:11-05:00
            [end_at] => 2025-11-02T20:10:11-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001351
            [max_drawdown] => 0.000359
            [rr_ratio] => 3.76
            [high] => 0.01791900
            [low] => 0.01620900
            [mfe_pct] => 7.69
            [mae_pct] => 2.04
            [mfe_mae_ratio] => 3.76
            [candles_analyzed] => 84
            [start_at] => 2025-11-02T18:10:11-05:00
            [end_at] => 2025-11-03T01:10:11-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01767700
            [high_after] => 0.01791900
            [low_before] => 0.01715000
            [low_after] => 0.01620900
            [is_new_high] => 
            [is_new_low] => 1
        )

)