Long Trade on PENGU 12 Sep 2025 at 08:16:05

Take profit at 0.03665 (1.41 %) and Stop Loss at 0.03588 (0.72 %)

Long Trade on PENGU

The 12 Sep 2025 at 08:16:05

With 31357.316 PENGU at 0.03614$ per unit.

Position size of 1133.2534 $

Take profit at 0.03665 (1.41 %) and Stop Loss at 0.03588 (0.72 %)

That's a 1.96 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.76
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.62
Prediction 2 Probability
0 0.55
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.230476

15m : 0.057916

1H : -0.040745

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0001700825839
Details
  1. score: 2.22
  2. 1H
  3. ema9 : 0.0366336
  4. ema21 : 0.0360086
  5. ema50 : 0.0351538
  6. ema100 : 0.0344858
  7. price_ema9_diff : -0.0134745
  8. ema9_ema21_diff : 0.0173567
  9. ema21_ema50_diff : 0.0243147
  10. price_ema100_diff : 0.0479647
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.532741
  14. ema_slope_21 : 0.441759
  15. ema_slope_50 : 0.256829
  16. ema_slope_100 : 0.158357
  17. rsi : 0.550298
  18. adx : 0.436574
  19. kc_percentage : 0.530003
  20. kc_width_percentage : 0.0768298
  21. volume_ema_diff : -0.013611
  22. volume_ema1 : 4179776.0866504
  23. volume_ema2 : 4237452.0693841
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.0366203
  28. ema21 : 0.0368424
  29. ema50 : 0.0364768
  30. ema100 : 0.0357025
  31. price_ema9_diff : -0.0131158
  32. ema9_ema21_diff : -0.00602852
  33. ema21_ema50_diff : 0.0100207
  34. price_ema100_diff : 0.0122538
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.176125
  38. ema_slope_21 : -0.0619256
  39. ema_slope_50 : 0.0433491
  40. ema_slope_100 : 0.0706075
  41. rsi : 0.352336
  42. adx : 0.286368
  43. kc_percentage : -0.031176
  44. kc_width_percentage : 0.0364499
  45. volume_ema_diff : -0.250493
  46. volume_ema1 : 1007971.6123938
  47. volume_ema2 : 1344847.8598172
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.0363594
  52. ema21 : 0.0366276
  53. ema50 : 0.0368876
  54. ema100 : 0.0369566
  55. price_ema9_diff : -0.00603604
  56. ema9_ema21_diff : -0.00732173
  57. ema21_ema50_diff : -0.00704827
  58. price_ema100_diff : -0.0220963
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.127077
  62. ema_slope_21 : -0.0936398
  63. ema_slope_50 : -0.054792
  64. ema_slope_100 : -0.027036
  65. rsi : 0.250872
  66. adx : 0.447779
  67. kc_percentage : -0.217245
  68. kc_width_percentage : 0.0181715
  69. volume_ema_diff : 0.0105161
  70. volume_ema1 : 430779.49021634
  71. volume_ema2 : 426296.50870842
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115038
  77. 5m_price_ema100_diff:
    -0.00224409
  78. 5m_price:
    114780
  79. 5m_correlation_with_coin:
    0.230476
  80. btc_indicators
  81. 15m_ema100:
    114836
  82. 15m_price_ema100_diff:
    -0.00049359
  83. 15m_price:
    114780
  84. 15m_correlation_with_coin:
    0.057916
  85. btc_indicators
  86. 1H_ema100:
    113549
  87. 1H_price_ema100_diff:
    0.010834
  88. 1H_price:
    114780
  89. 1H_correlation_with_coin:
    -0.040745
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Sep 2025
08:16:05
12 Sep 2025
10:40:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03614 0.03588 0.03665 1.96 0.006754
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 0.03614
  • Stop Loss: 0.03588
  • Take Profit: 0.03665

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03588 - 0.03614 = -0.00026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03614 - 0.03665 = -0.00051

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00051 / -0.00026 = 1.9615

📌 Position Size

Amount Margin Quantity Leverage
1133.2534 100 31357.316 11.33
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 -0.00026

Taille de position = 8 / -0.00026 = -30769.23

Taille de position USD = -30769.23 x 0.03614 = -1112

Donc, tu peux acheter -30769.23 avec un stoploss a 0.03588

Avec un position size USD de -1112$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -30769.23 x -0.00026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -30769.23 x -0.00051 = 15.69

Si Take Profit atteint, tu gagneras 15.69$

Résumé

  • Taille de position -30769.23
  • Taille de position USD -1112
  • Perte potentielle 8
  • Gain potentiel 15.69
  • Risk-Reward Ratio 1.9615

📌 Peformances

TP % Target TP $ Target
1.41 % 15.99 $
SL % Target SL $ Target
0.72 % 8.15 $
PNL PNL %
-8.15 $ -0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2009 % 166.93 % 16

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03665
            [entry_price] => 0.03614
            [stop_loss] => 0.035854
            [rr_ratio] => 1.78
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-12 10:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03665
            [entry_price] => 0.03614
            [stop_loss] => 0.035828
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-12 10:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03665
            [entry_price] => 0.03614
            [stop_loss] => 0.035802
            [rr_ratio] => 1.51
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-12 10:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03665
            [entry_price] => 0.03614
            [stop_loss] => 0.03575
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-12 10:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00044
            [max_drawdown] => 0.000232
            [rr_ratio] => 1.9
            [high] => 0.03658000
            [low] => 0.03590800
            [mfe_pct] => 1.22
            [mae_pct] => 0.64
            [mfe_mae_ratio] => 1.9
            [candles_analyzed] => 24
            [start_at] => 2025-09-12T08:16:05-04:00
            [end_at] => 2025-09-12T10:16:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00044
            [max_drawdown] => 0.001103
            [rr_ratio] => 0.4
            [high] => 0.03658000
            [low] => 0.03503700
            [mfe_pct] => 1.22
            [mae_pct] => 3.05
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 84
            [start_at] => 2025-09-12T08:16:05-04:00
            [end_at] => 2025-09-12T15:16:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03775300
            [high_after] => 0.03658000
            [low_before] => 0.03596800
            [low_after] => 0.03503700
            [is_new_high] => 
            [is_new_low] => 
        )

)