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Long Trade on PENGU

Long Trade on PENGU

The 13 Dec 2025 at 19:09:48

With 107095.7878 PENGU at 0.01123$ per unit.

Position size of 1202.2573 $

Take profit at 0.01138 (1.34 %) and Stop Loss at 0.01115 (0.71 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.88
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
1 0.57
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.239017

15m : 0.007336

1H : -0.020935

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 4.979965546E-5
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.0112917
  4. ema21 - 0.0111776
  5. ema50 - 0.0111674
  6. ema100 - 0.0113927
  7. price_ema9_diff - -0.00582045
  8. ema9_ema21_diff - 0.0102075
  9. ema21_ema50_diff - 0.000908294
  10. price_ema100_diff - -0.0146374
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - 0.259875
  14. ema_slope_21 - 0.168605
  15. ema_slope_50 - 0.0415563
  16. ema_slope_100 - -0.0286724
  17. rsi - 0.531696
  18. adx - 0.362087
  19. kc_percentage - 0.557696
  20. kc_width_percentage - 0.0650556
  21. volume_ema_diff - -0.0532288
  22. volume_ema1 - 519837.42068845
  23. volume_ema2 - 549063.4261524
  24. chop - 30.5587
  25. regime - range_high
    26. ¸
  26. 15m
  27. ema9 - 0.0113356
  28. ema21 - 0.0113614
  29. ema50 - 0.0112599
  30. ema100 - 0.0111416
  31. price_ema9_diff - -0.00967039
  32. ema9_ema21_diff - -0.00227667
  33. ema21_ema50_diff - 0.00901765
  34. price_ema100_diff - 0.00756674
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - -0.158438
  38. ema_slope_21 - -0.0125042
  39. ema_slope_50 - 0.0511107
  40. ema_slope_100 - 0.0482442
  41. rsi - 0.410306
  42. adx - 0.26302
  43. kc_percentage - 0.174825
  44. kc_width_percentage - 0.037632
  45. volume_ema_diff - -0.518443
  46. volume_ema1 - 77164.445369655
  47. volume_ema2 - 160239.63129299
  48. chop - 38.1322
  49. regime - range_high
    50. ¸
  50. 5m
  51. ema9 - 0.0112813
  52. ema21 - 0.0113309
  53. ema50 - 0.0113778
  54. ema100 - 0.0113262
  55. price_ema9_diff - -0.004904
  56. ema9_ema21_diff - -0.00437769
  57. ema21_ema50_diff - -0.00411969
  58. price_ema100_diff - -0.00885288
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.0724614
  62. ema_slope_21 - -0.0753077
  63. ema_slope_50 - -0.0411188
  64. ema_slope_100 - -0.00772895
  65. rsi - 0.317283
  66. adx - 0.21346
  67. kc_percentage - -0.0559006
  68. kc_width_percentage - 0.0161951
  69. volume_ema_diff - -0.663015
  70. volume_ema1 - 20835.248821871
  71. volume_ema2 - 61828.450465243
  72. chop - 55.1917
  73. regime - bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90103.6
  77. 5m_price_ema100_diff: 0.000246564
  78. 5m_price: 90125.9
  79. 5m_correlation_with_coin: 0.239017
  80. btc_indicators
  81. 15m_ema100: 90195
  82. 15m_price_ema100_diff: -0.000766782
  83. 15m_price: 90125.9
  84. 15m_correlation_with_coin: 0.007336
  85. btc_indicators
  86. 1H_ema100: 91076.4
  87. 1H_price_ema100_diff: -0.0104365
  88. 1H_price: 90125.9
  89. 1H_correlation_with_coin: -0.020935
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Dec 2025
19:09:48		 13 Dec 2025
22:15:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01123 0.01115 0.01138 1.87 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 0.01123
  • Stop Loss: 0.01115
  • Take Profit: 0.01138

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01115 - 0.01123 = -8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01123 - 0.01138 = -0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00015 / -8.0E-5 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
1202.2573 100 107095.7878 12.02
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 -8.0E-5

Taille de position = 8 / -8.0E-5 = -100000

Taille de position USD = -100000 x 0.01123 = -1123

Donc, tu peux acheter -100000 avec un stoploss a 0.01115

Avec un position size USD de -1123$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -100000 x -8.0E-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 -0.00015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position -100000
  • Taille de position USD -1123
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
1.34 % 16.06 $
SL % Target SL $ Target
0.71 % 8.57 $
PNL PNL %
-8.56 $ -0.71
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7302 % 102.5 % 23

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01138
            [entry_price] => 0.01123
            [stop_loss] => 0.011142
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-13 22:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01138
            [entry_price] => 0.01123
            [stop_loss] => 0.011134
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-13 22:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01138
            [entry_price] => 0.01123
            [stop_loss] => 0.011126
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-13 22:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01138
            [entry_price] => 0.01123
            [stop_loss] => 0.01111
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-13 23:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.7999999999999E-5
            [max_drawdown] => 5.5000000000001E-5
            [rr_ratio] => 0.87
            [high] => 0.01127800
            [low] => 0.01117500
            [mfe_pct] => 0.43
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 0.87
            [candles_analyzed] => 24
            [start_at] => 2025-12-13T19:09:48-05:00
            [end_at] => 2025-12-13T21:09:48-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.5E-5
            [max_drawdown] => 0.000287
            [rr_ratio] => 0.3
            [high] => 0.01131500
            [low] => 0.01094300
            [mfe_pct] => 0.76
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 84
            [start_at] => 2025-12-13T19:09:48-05:00
            [end_at] => 2025-12-14T02:09:48-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01186600
            [high_after] => 0.01131500
            [low_before] => 0.01121200
            [low_after] => 0.01101000
            [is_new_high] => 
            [is_new_low] => 
        )

)