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Long Trade on PENGU

Long Trade on PENGU

The 13 Dec 2025 at 18:11:37

With 88517.8547 PENGU at 0.01131$ per unit.

Position size of 1001.0484 $

Take profit at 0.01149 (1.59 %) and Stop Loss at 0.01122 (0.8 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.41
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.56
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.3235

15m : -0.100391

1H : 0.069777

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 6.025149786E-5
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.0113073
  4. ema21 - 0.0111724
  5. ema50 - 0.0111685
  6. ema100 - 0.0114221
  7. price_ema9_diff - 0.000145594
  8. ema9_ema21_diff - 0.0120755
  9. ema21_ema50_diff - 0.00034935
  10. price_ema100_diff - -0.00990572
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. ema_slope_9 - 0.279195
  14. ema_slope_21 - 0.16711
  15. ema_slope_50 - 0.0341523
  16. ema_slope_100 - -0.0378342
  17. rsi - 0.569005
  18. adx - 0.361
  19. kc_percentage - 0.6713
  20. kc_width_percentage - 0.067077
  21. volume_ema_diff - 0.160937
  22. volume_ema1 - 655643.82863217
  23. volume_ema2 - 564753.55804089
  24. chop - 29.1047
  25. regime - bull_high
    26. ¸
  26. 15m
  27. ema9 - 0.0114275
  28. ema21 - 0.011402
  29. ema50 - 0.0112576
  30. ema100 - 0.0111324
  31. price_ema9_diff - -0.0103712
  32. ema9_ema21_diff - 0.00223064
  33. ema21_ema50_diff - 0.012831
  34. price_ema100_diff - 0.0158607
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0254675
  38. ema_slope_21 - 0.118863
  39. ema_slope_50 - 0.1125
  40. ema_slope_100 - 0.0773706
  41. rsi - 0.459275
  42. adx - 0.341304
  43. kc_percentage - 0.30454
  44. kc_width_percentage - 0.0445164
  45. volume_ema_diff - -0.222984
  46. volume_ema1 - 134757.06232994
  47. volume_ema2 - 173429.05097847
  48. chop - 43.1858
  49. regime - bull_high
    50. ¸
  50. 5m
  51. ema9 - 0.011366
  52. ema21 - 0.0114228
  53. ema50 - 0.0114297
  54. ema100 - 0.0113368
  55. price_ema9_diff - -0.00501702
  56. ema9_ema21_diff - -0.00497726
  57. ema21_ema50_diff - -0.000601541
  58. price_ema100_diff - -0.00245942
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - -0.102435
  62. ema_slope_21 - -0.0838592
  63. ema_slope_50 - -0.0248997
  64. ema_slope_100 - 0.00782891
  65. rsi - 0.327042
  66. adx - 0.20752
  67. kc_percentage - -0.014843
  68. kc_width_percentage - 0.0189759
  69. volume_ema_diff - -0.514033
  70. volume_ema1 - 34817.313161972
  71. volume_ema2 - 71645.476613938
  72. chop - 53.438
  73. regime - range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 90083.2
  77. 5m_price_ema100_diff: 0.000424842
  78. 5m_price: 90121.5
  79. 5m_correlation_with_coin: 0.3235
  80. btc_indicators
  81. 15m_ema100: 90199.2
  82. 15m_price_ema100_diff: -0.000861923
  83. 15m_price: 90121.5
  84. 15m_correlation_with_coin: -0.100391
  85. btc_indicators
  86. 1H_ema100: 91159.2
  87. 1H_price_ema100_diff: -0.0113839
  88. 1H_price: 90121.5
  89. 1H_correlation_with_coin: 0.069777
    90. ¸

📌 Time Data

Start at Closed at Duration
13 Dec 2025
18:11:37		 13 Dec 2025
19:05:00		 53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01131 0.01122 0.01149 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 0.01131
  • Stop Loss: 0.01122
  • Take Profit: 0.01149

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01122 - 0.01131 = -9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01131 - 0.01149 = -0.00018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00018 / -9.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1001.0484 100 88517.8547 10.01
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 -9.0E-5

Taille de position = 8 / -9.0E-5 = -88888.89

Taille de position USD = -88888.89 x 0.01131 = -1005.33

Donc, tu peux acheter -88888.89 avec un stoploss a 0.01122

Avec un position size USD de -1005.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -88888.89 x -9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -88888.89 x -0.00018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -88888.89
  • Taille de position USD -1005.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.59 % 15.93 $
SL % Target SL $ Target
0.8 % 7.97 $
PNL PNL %
-7.97 $ -0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8665 % 108.88 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01149
            [entry_price] => 0.01131
            [stop_loss] => 0.011211
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-12-13 19:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01149
            [entry_price] => 0.01131
            [stop_loss] => 0.011202
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-12-13 20:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01149
            [entry_price] => 0.01131
            [stop_loss] => 0.011193
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-12-13 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01149
            [entry_price] => 0.01131
            [stop_loss] => 0.011175
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-12-13 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.1999999999999E-5
            [max_drawdown] => 0.000103
            [rr_ratio] => 0.41
            [high] => 0.01135200
            [low] => 0.01120700
            [mfe_pct] => 0.37
            [mae_pct] => 0.91
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 24
            [start_at] => 2025-12-13T18:11:37-05:00
            [end_at] => 2025-12-13T20:11:37-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.1999999999999E-5
            [max_drawdown] => 0.0003
            [rr_ratio] => 0.14
            [high] => 0.01135200
            [low] => 0.01101000
            [mfe_pct] => 0.37
            [mae_pct] => 2.65
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-12-13T18:11:37-05:00
            [end_at] => 2025-12-14T01:11:37-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01186600
            [high_after] => 0.01135200
            [low_before] => 0.01128600
            [low_after] => 0.01101900
            [is_new_high] => 
            [is_new_low] => 
        )

)