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Short Trade on PENGU

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Short Trade on PENGU 31 Oct 2025 at 23:14:53

Take profit at 0.01812 (1.04 %) and Stop Loss at 0.0184 (0.49 %)

Short Trade on PENGU

The 31 Oct 2025 at 23:14:53

With 85286.2304 PENGU at 0.01831$ per unit.

Position size of 1561.6762 $

Take profit at 0.01812 (1.04 %) and Stop Loss at 0.0184 (0.49 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.78
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.762797

15m : 0.178113

1H : -0.099185

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 6.25345183E-5
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.0182123
  4. ema21 : 0.0183561
  5. ema50 : 0.0189231
  6. ema100 : 0.0196293
  7. price_ema9_diff : 0.00541904
  8. ema9_ema21_diff : -0.00783438
  9. ema21_ema50_diff : -0.0299633
  10. price_ema100_diff : -0.0671619
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.215906
  14. ema_slope_21 : -0.210883
  15. ema_slope_50 : -0.214777
  16. ema_slope_100 : -0.172246
  17. rsi : 0.467774
  18. adx : 0.253043
  19. kc_percentage : 0.477559
  20. kc_width_percentage : 0.0691668
  21. volume_ema_diff : -0.559848
  22. volume_ema1 : 262771.79943403
  23. volume_ema2 : 597003.04644868
  24. chop : 49.4694
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0181838
  28. ema21 : 0.0181617
  29. ema50 : 0.0182234
  30. ema100 : 0.0183767
  31. price_ema9_diff : 0.00699012
  32. ema9_ema21_diff : 0.00121649
  33. ema21_ema50_diff : -0.00338544
  34. price_ema100_diff : -0.00357829
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0249971
  38. ema_slope_21 : 0.0106062
  39. ema_slope_50 : -0.0158508
  40. ema_slope_100 : -0.0259277
  41. rsi : 0.58095
  42. adx : 0.119005
  43. kc_percentage : 0.800505
  44. kc_width_percentage : 0.027066
  45. volume_ema_diff : -0.00539106
  46. volume_ema1 : 100227.02267885
  47. volume_ema2 : 100770.28228497
  48. chop : 53.7519
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0182297
  52. ema21 : 0.0181785
  53. ema50 : 0.0181502
  54. ema100 : 0.0181132
  55. price_ema9_diff : 0.00445643
  56. ema9_ema21_diff : 0.00281719
  57. ema21_ema50_diff : 0.00156069
  58. price_ema100_diff : 0.0109168
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.076218
  62. ema_slope_21 : 0.0289465
  63. ema_slope_50 : 0.0115931
  64. ema_slope_100 : 0.00895541
  65. rsi : 0.654526
  66. adx : 0.222587
  67. kc_percentage : 1.02186
  68. kc_width_percentage : 0.0136416
  69. volume_ema_diff : 0.0631356
  70. volume_ema1 : 31214.341109221
  71. volume_ema2 : 29360.638869997
  72. chop : 26.9801
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109595
  77. 5m_price_ema100_diff: 
    0.00223497
  78. 5m_price: 
    109840
  79. 5m_correlation_with_coin: 
    0.762797
  80. btc_indicators
  81. 15m_ema100: 
    109607
  82. 15m_price_ema100_diff: 
    0.00213039
  83. 15m_price: 
    109840
  84. 15m_correlation_with_coin: 
    0.178113
  85. btc_indicators
  86. 1H_ema100: 
    110760
  87. 1H_price_ema100_diff: 
    -0.00830135
  88. 1H_price: 
    109840
  89. 1H_correlation_with_coin: 
    -0.099185
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.020134
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.020253
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 17:00:00
                    [1] => 0.022124
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.019869
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 0.017774
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.019124
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 08:00:00
                    [1] => 0.01901
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 13:00:00
                    [1] => 0.017542
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:00:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.018351
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.26156612718653
            [ms_dist_from_last_low_pct] => 2.222842781346
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.4909243228148
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-31 09:30:00
                    [1] => 0.018417
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 11:15:00
                    [1] => 0.018931
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 13:15:00
                    [1] => 0.017542
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 15:45:00
                    [1] => 0.018458
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 17:00:00
                    [1] => 0.017969
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 18:30:00
                    [1] => 0.018236
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 20:30:00
                    [1] => 0.017978
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 21:30:00
                    [1] => 0.018308
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:00:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.018351
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.26156612718653
            [ms_dist_from_last_low_pct] => 2.222842781346
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.4909243228148
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-10-31 17:10:00
                    [1] => 0.017969
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 17:35:00
                    [1] => 0.018129
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 18:00:00
                    [1] => 0.018019
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 18:35:00
                    [1] => 0.018236
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 19:15:00
                    [1] => 0.018149
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 19:40:00
                    [1] => 0.018217
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 20:30:00
                    [1] => 0.017978
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 21:30:00
                    [1] => 0.018308
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:05:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:05:00
                    [1] => 0.018351
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.26156612718653
            [ms_dist_from_last_low_pct] => 2.222842781346
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 2.4909243228148
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
2.22%
Bars Since Swing High
1 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
2.49%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.27%
TP to Pivot Distance
0.0002
1.19%
DateTime Price Type
2025-10-31 17:10:00 0.017969 ↓ Low
2025-10-31 17:35:00 0.018129 ↑ High
2025-10-31 18:00:00 0.018019 ↓ Low
2025-10-31 18:35:00 0.018236 ↑ High
2025-10-31 19:15:00 0.018149 ↓ Low
2025-10-31 19:40:00 0.018217 ↑ High
2025-10-31 20:30:00 0.017978 ↓ Low
2025-10-31 21:30:00 0.018308 ↑ High
2025-10-31 22:05:00 0.017905 ↓ Low
2025-10-31 23:05:00 0.018351 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
2.22%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.49%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0005
2.89%
TP to Pivot Distance
0.0006
3.19%
DateTime Price Type
2025-10-31 09:30:00 0.018417 ↓ Low
2025-10-31 11:15:00 0.018931 ↑ High
2025-10-31 13:15:00 0.017542 ↓ Low
2025-10-31 15:45:00 0.018458 ↑ High
2025-10-31 17:00:00 0.017969 ↓ Low
2025-10-31 18:30:00 0.018236 ↑ High
2025-10-31 20:30:00 0.017978 ↓ Low
2025-10-31 21:30:00 0.018308 ↑ High
2025-10-31 22:00:00 0.017905 ↓ Low
2025-10-31 23:00:00 0.018351 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
2.22%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.49%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
20.24%
TP to Pivot Distance
0.0006
3.19%
DateTime Price Type
2025-10-28 17:00:00 0.020134 ↓ Low
2025-10-29 14:00:00 0.020253 ↓ Low
2025-10-29 17:00:00 0.022124 ↑ High
2025-10-30 00:00:00 0.019869 ↓ Low
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 21:00:00 0.019124 ↑ High
2025-10-31 08:00:00 0.01901 ↑ High
2025-10-31 13:00:00 0.017542 ↓ Low
2025-10-31 22:00:00 0.017905 ↓ Low
2025-10-31 23:00:00 0.018351 ↑ High

📌 Time Data

Start at Closed at Duration
31 Oct 2025
23:14:53		 31 Oct 2025
23:40:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01831 0.0184 0.01812 2.11 0.006755
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 0.01831
  • Stop Loss: 0.0184
  • Take Profit: 0.01812

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0184 - 0.01831 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01831 - 0.01812 = 0.00019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019 / 9.0E-5 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
1561.6762 100 85286.2304 15.62
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 0.01831 = 1627.56

Donc, tu peux acheter 88888.89 avec un stoploss a 0.0184

Avec un position size USD de 1627.56$

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 0.00019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1627.56
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
1.04 % 16.2 $
SL % Target SL $ Target
0.49 % 7.68 $
PNL PNL %
-7.68 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5243 % 106.67 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.01831
            [stop_loss] => 0.018409
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 23:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.01831
            [stop_loss] => 0.018418
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-31 23:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.01831
            [stop_loss] => 0.018427
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-31 23:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01812
            [entry_price] => 0.01831
            [stop_loss] => 0.018445
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-31 23:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000176
            [max_drawdown] => 0.000193
            [rr_ratio] => 0.91
            [high] => 0.01850300
            [low] => 0.01813400
            [mfe_pct] => 0.96
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T23:14:53-04:00
            [end_at] => 2025-11-01T01:14:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000337
            [max_drawdown] => 0.000193
            [rr_ratio] => 1.75
            [high] => 0.01850300
            [low] => 0.01797300
            [mfe_pct] => 1.84
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 1.75
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T23:14:53-04:00
            [end_at] => 2025-11-01T06:14:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01835100
            [high_after] => 0.01850300
            [low_before] => 0.01790500
            [low_after] => 0.01797300
            [is_new_high] => 
            [is_new_low] => 
        )

)