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Long Trade on PENGU

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Long Trade on PENGU 08 Sep 2025 at 21:34:02

Take profit at 0.03369 (1.81 %) and Stop Loss at 0.03279 (0.91 %)

Long Trade on PENGU

The 08 Sep 2025 at 21:34:02

With 26872.2602 PENGU at 0.03309$ per unit.

Position size of 889.2568 $

Take profit at 0.03369 (1.81 %) and Stop Loss at 0.03279 (0.91 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -70
ML Pullback Score: 6.65
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.534542

15m : 0.012833

1H : 0.044892

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0001984698453
Details
  1. score: 2.07
  2. 1H
  3. ema9 : 0.0335235
  4. ema21 : 0.0328685
  5. ema50 : 0.0314923
  6. ema100 : 0.0304526
  7. price_ema9_diff : -0.0128722
  8. ema9_ema21_diff : 0.0199255
  9. ema21_ema50_diff : 0.0436996
  10. price_ema100_diff : 0.086669
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.386409
  14. ema_slope_21 : 0.471512
  15. ema_slope_50 : 0.378607
  16. ema_slope_100 : 0.249848
  17. rsi : 0.562433
  18. adx : 0.561774
  19. kc_percentage : 0.552453
  20. kc_width_percentage : 0.0927083
  21. volume_ema_diff : -0.203324
  22. volume_ema1 : 2993869.9704901
  23. volume_ema2 : 3757952.269221
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.0334947
  27. ema21 : 0.0336145
  28. ema50 : 0.0334112
  29. ema100 : 0.0327807
  30. price_ema9_diff : -0.0120256
  31. ema9_ema21_diff : -0.00356149
  32. ema21_ema50_diff : 0.00608418
  33. price_ema100_diff : 0.00949495
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0674362
  37. ema_slope_21 : -0.0185624
  38. ema_slope_50 : 0.0330159
  39. ema_slope_100 : 0.0597657
  40. rsi : 0.381851
  41. adx : 0.176151
  42. kc_percentage : 0.119301
  43. kc_width_percentage : 0.0412783
  44. volume_ema_diff : -0.34264
  45. volume_ema1 : 706807.77672772
  46. volume_ema2 : 1075223.1910393
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.0333992
  50. ema21 : 0.0335673
  51. ema50 : 0.0336835
  52. ema100 : 0.0337602
  53. price_ema9_diff : -0.00919972
  54. ema9_ema21_diff : -0.00500855
  55. ema21_ema50_diff : -0.0034492
  56. price_ema100_diff : -0.0197931
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.0936121
  60. ema_slope_21 : -0.0639132
  61. ema_slope_50 : -0.0316099
  62. ema_slope_100 : -0.0183828
  63. rsi : 0.273777
  64. adx : 0.201884
  65. kc_percentage : -0.0709413
  66. kc_width_percentage : 0.0246956
  67. volume_ema_diff : 0.213971
  68. volume_ema1 : 343973.14028276
  69. volume_ema2 : 283345.30121366
  70. regime : bear_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    112005
  74. 5m_price_ema100_diff: 
    -0.00598006
  75. 5m_price: 
    111336
  76. 5m_correlation_with_coin: 
    0.534542
  77. btc_indicators
  78. 15m_ema100: 
    111774
  79. 15m_price_ema100_diff: 
    -0.00391874
  80. 15m_price: 
    111336
  81. 15m_correlation_with_coin: 
    0.012833
  82. btc_indicators
  83. 1H_ema100: 
    111342
  84. 1H_price_ema100_diff: 
    -5.96288E-5
  85. 1H_price: 
    111336
  86. 1H_correlation_with_coin: 
    0.044892
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
21:34:02		 08 Sep 2025
22:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03309 0.03279 0.03369 2 0.007169
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 0.03309
  • Stop Loss: 0.03279
  • Take Profit: 0.03369

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03279 - 0.03309 = -0.0003

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03309 - 0.03369 = -0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0006 / -0.0003 = 2

📌 Position Size

Amount Margin Quantity Leverage
889.2568 100 26872.2602 8.89
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 -0.0003

Taille de position = 8 / -0.0003 = -26666.67

Taille de position USD = -26666.67 x 0.03309 = -882.4

Donc, tu peux acheter -26666.67 avec un stoploss a 0.03279

Avec un position size USD de -882.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -26666.67 x -0.0003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -26666.67 x -0.0006 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -26666.67
  • Taille de position USD -882.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.81 % 16.12 $
SL % Target SL $ Target
0.91 % 8.06 $
PNL PNL %
-8.06 $ -0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0728 % 118.33 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03369
            [entry_price] => 0.03309
            [stop_loss] => 0.03276
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-08 22:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03369
            [entry_price] => 0.03309
            [stop_loss] => 0.03273
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-08 23:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.03369
            [entry_price] => 0.03309
            [stop_loss] => 0.0327
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-08 23:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.03369
            [entry_price] => 0.03309
            [stop_loss] => 0.03264
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-08 23:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000519
            [max_drawdown] => 0.000355
            [rr_ratio] => 1.46
            [high] => 0.03360900
            [low] => 0.03273500
            [mfe_pct] => 1.57
            [mae_pct] => 1.07
            [mfe_mae_ratio] => 1.46
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T21:34:02-04:00
            [end_at] => 2025-09-08T23:34:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002639
            [max_drawdown] => 0.000355
            [rr_ratio] => 7.43
            [high] => 0.03572900
            [low] => 0.03273500
            [mfe_pct] => 7.98
            [mae_pct] => 1.07
            [mfe_mae_ratio] => 7.43
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T21:34:02-04:00
            [end_at] => 2025-09-09T04:34:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03418400
            [high_after] => 0.03572900
            [low_before] => 0.03290500
            [low_after] => 0.03273500
            [is_new_high] => 1
            [is_new_low] => 
        )

)