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Long Trade on PENGU

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Long Trade on PENGU 10 Jul 2025 at 15:55:59

Take profit at 0.01868 (1.74 %) and Stop Loss at 0.01814 (1.2 %)

Long Trade on PENGU

The 10 Jul 2025 at 15:55:59

With 37135.6521 PENGU at 0.01836$ per unit.

Position size of 681.662 $

Take profit at 0.01868 (1.74 %) and Stop Loss at 0.01814 (1.2 %)

That's a 1.45 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 0.5204
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.08936

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0001436176028
Details
  1. score: 2.25
  2. 1H
  3. ema9 : 0.0189376
  4. ema21 : 0.0182568
  5. ema50 : 0.016984
  6. ema100 : 0.0162377
  7. price_ema9_diff : -0.0307122
  8. ema9_ema21_diff : 0.0372904
  9. ema21_ema50_diff : 0.0749373
  10. price_ema100_diff : 0.130453
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.557643
  14. kc_percentage : 0.513011
  15. kc_width_percentage : 0.146809
  16. volume_ema_diff : 0.088658
  17. volume_ema1 : 7389324.749574
  18. volume_ema2 : 6787553.2056194
    19. ¸
  19. 15m
  20. ema9 : 0.018821
  21. ema21 : 0.0190025
  22. ema50 : 0.0188097
  23. ema100 : 0.0179923
  24. price_ema9_diff : -0.0247113
  25. ema9_ema21_diff : -0.00954715
  26. ema21_ema50_diff : 0.0102454
  27. price_ema100_diff : 0.0202118
  28. all_emas_in_trend : False
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.333608
  31. kc_percentage : -0.0596378
  32. kc_width_percentage : 0.0622294
  33. volume_ema_diff : -0.413318
  34. volume_ema1 : 1336061.8255658
  35. volume_ema2 : 2277322.2890711
    36. ¸
  36. 5m
  37. ema9 : 0.0186035
  38. ema21 : 0.0187951
  39. ema50 : 0.018988
  40. ema100 : 0.0191679
  41. price_ema9_diff : -0.013305
  42. ema9_ema21_diff : -0.0101975
  43. ema21_ema50_diff : -0.0101548
  44. price_ema100_diff : -0.0423605
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.283905
  48. kc_percentage : -0.248211
  49. kc_width_percentage : 0.0311755
  50. volume_ema_diff : 0.161634
  51. volume_ema1 : 672217.26387297
  52. volume_ema2 : 578682.32400519
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    112292
  56. 5m_price_ema100_diff: 
    0.00825335
  57. 5m_price: 
    113219
  58. 5m_correlation_with_coin: 
    0.08936
  59. btc_indicators
  60. 15m_ema100: 
    111414
  61. 15m_price_ema100_diff: 
    0.0151886
  62. 15m_price: 
    113107
  63. btc_indicators
  64. 1H_ema100: 
    109800
  65. 1H_price_ema100_diff: 
    0.0311338
  66. 1H_price: 
    113219
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Jul 2025
15:55:59		 10 Jul 2025
17:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01836 0.01814 0.01868 1.45 0.006799
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 0.01836
  • Stop Loss: 0.01814
  • Take Profit: 0.01868

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01814 - 0.01836 = -0.00022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01836 - 0.01868 = -0.00032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00032 / -0.00022 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
681.662 100 37135.6521 6.82
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 -0.00022

Taille de position = 8 / -0.00022 = -36363.64

Taille de position USD = -36363.64 x 0.01836 = -667.64

Donc, tu peux acheter -36363.64 avec un stoploss a 0.01814

Avec un position size USD de -667.64$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -36363.64 x -0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -36363.64 x -0.00032 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position -36363.64
  • Taille de position USD -667.64
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
1.74 % 11.88 $
SL % Target SL $ Target
1.2 % 8.17 $
PNL PNL %
11.88 $ 1.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0763 % 6.37 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0188
            [stop_loss] => 0.01814
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 17:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01891
            [stop_loss] => 0.01814
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 17:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01902
            [stop_loss] => 0.01814
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 17:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01913
            [stop_loss] => 0.01814
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 17:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01924
            [stop_loss] => 0.01814
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 17:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01935
            [stop_loss] => 0.01814
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 17:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01946
            [stop_loss] => 0.01814
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 17:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.01957
            [stop_loss] => 0.01814
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 18:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.01968
            [stop_loss] => 0.01814
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 18:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.01979
            [stop_loss] => 0.01814
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-10 18:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001175
            [max_drawdown] => 1.4E-5
            [rr_ratio] => 83.93
            [high] => 0.01953500
            [low] => 0.01834600
            [mfe_pct] => 6.4
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 83.93
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T15:55:59-04:00
            [end_at] => 2025-07-10T17:55:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001438
            [max_drawdown] => 1.4E-5
            [rr_ratio] => 100
            [high] => 0.01979800
            [low] => 0.01834600
            [mfe_pct] => 7.83
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 102.71
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T15:55:59-04:00
            [end_at] => 2025-07-10T21:55:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01975800
            [high_after] => 0.01979800
            [low_before] => 0.01828900
            [low_after] => 0.01834600
            [is_new_high] => 1
            [is_new_low] => 
        )

)