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Short Trade on PENGU

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Short Trade on PENGU 31 Oct 2025 at 23:19:10

Take profit at 0.01817 (1.03 %) and Stop Loss at 0.01845 (0.49 %)

Short Trade on PENGU

The 31 Oct 2025 at 23:19:10

With 85144.1097 PENGU at 0.01836$ per unit.

Position size of 1563.1607 $

Take profit at 0.01817 (1.03 %) and Stop Loss at 0.01845 (0.49 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.89
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.72
Prediction 3 Probability
1 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_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.749387

15m : 0.113831

1H : 0.135779

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 6.263889953E-5
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.0182219
  4. ema21 : 0.0183604
  5. ema50 : 0.0189249
  6. ema100 : 0.0196302
  7. price_ema9_diff : 0.00752353
  8. ema9_ema21_diff : -0.00754732
  9. ema21_ema50_diff : -0.0298292
  10. price_ema100_diff : -0.0647618
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.211627
  14. ema_slope_21 : -0.208952
  15. ema_slope_50 : -0.213969
  16. ema_slope_100 : -0.171851
  17. rsi : 0.477434
  18. adx : 0.252695
  19. kc_percentage : 0.511819
  20. kc_width_percentage : 0.0691603
  21. volume_ema_diff : -0.548806
  22. volume_ema1 : 269733.49904903
  23. volume_ema2 : 597822.0699328
  24. chop : 49.4736
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0182176
  28. ema21 : 0.018179
  29. ema50 : 0.0182253
  30. ema100 : 0.0183531
  31. price_ema9_diff : 0.00775985
  32. ema9_ema21_diff : 0.0021223
  33. ema21_ema50_diff : -0.00254167
  34. price_ema100_diff : 0.000320943
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0469327
  38. ema_slope_21 : 0.0218471
  39. ema_slope_50 : -0.00914123
  40. ema_slope_100 : -0.0200102
  41. rsi : 0.602449
  42. adx : 0.120694
  43. kc_percentage : 0.879256
  44. kc_width_percentage : 0.02569
  45. volume_ema_diff : -0.245407
  46. volume_ema1 : 73753.322789568
  47. volume_ema2 : 97739.269621633
  48. chop : 52.737
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0182543
  52. ema21 : 0.0181942
  53. ema50 : 0.0181549
  54. ema100 : 0.0180942
  55. price_ema9_diff : 0.00573407
  56. ema9_ema21_diff : 0.00330046
  57. ema21_ema50_diff : 0.00216885
  58. price_ema100_diff : 0.0146295
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0852715
  62. ema_slope_21 : 0.0373195
  63. ema_slope_50 : 0.0167817
  64. ema_slope_100 : 0.0141512
  65. rsi : 0.687749
  66. adx : 0.237972
  67. kc_percentage : 1.1472
  68. kc_width_percentage : 0.0136398
  69. volume_ema_diff : 0.00630461
  70. volume_ema1 : 27744.868409814
  71. volume_ema2 : 27571.043710132
  72. chop : 26.6252
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109571
  77. 5m_price_ema100_diff: 
    0.00432359
  78. 5m_price: 
    110045
  79. 5m_correlation_with_coin: 
    0.749387
  80. btc_indicators
  81. 15m_ema100: 
    109537
  82. 15m_price_ema100_diff: 
    0.00463397
  83. 15m_price: 
    110045
  84. 15m_correlation_with_coin: 
    0.113831
  85. btc_indicators
  86. 1H_ema100: 
    110764
  87. 1H_price_ema100_diff: 
    -0.00648958
  88. 1H_price: 
    110045
  89. 1H_correlation_with_coin: 
    0.135779
    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] => 0.018362
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.19061104454853
            [ms_dist_from_last_low_pct] => 2.3568835520804
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.5523596760681
            [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 23:15:00
                    [1] => 0.018362
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.19061104454853
            [ms_dist_from_last_low_pct] => 2.3568835520804
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 2.5523596760681
            [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 23:15:00
                    [1] => 0.018362
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.19061104454853
            [ms_dist_from_last_low_pct] => 2.3568835520804
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 2.5523596760681
            [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
-0.19%
Dist From Last Low Pct
2.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
2.55%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.48%
TP to Pivot Distance
0.0003
1.46%
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 23:15:00 0.018362 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.19%
Dist From Last Low Pct
2.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
2.55%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0005
2.61%
TP to Pivot Distance
0.0006
3.46%
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 23:15:00 0.018362 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.19%
Dist From Last Low Pct
2.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.55%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
19.91%
TP to Pivot Distance
0.0006
3.46%
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 0.018362 ↑ High

📌 Time Data

Start at Closed at Duration
31 Oct 2025
23:19:10		 31 Oct 2025
23:55:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01836 0.01845 0.01817 2.11 0.007047
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: 0.01845
  • Take Profit: 0.01817

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01845 - 0.01836 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01836 - 0.01817 = 0.00019

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1563.1607 100 85144.1097 15.63
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 0.01836 = 1632

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01845

Avec un position size USD de 1632$

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 1632
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
1.03 % 16.18 $
SL % Target SL $ Target
0.49 % 7.66 $
PNL PNL %
-7.66 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.561 % 114.44 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01817
            [entry_price] => 0.01836
            [stop_loss] => 0.018459
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 23:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01817
            [entry_price] => 0.01836
            [stop_loss] => 0.018468
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-01 00:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01817
            [entry_price] => 0.01836
            [stop_loss] => 0.018477
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-01 00:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01817
            [entry_price] => 0.01836
            [stop_loss] => 0.018495
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-01 00:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000226
            [max_drawdown] => 0.000143
            [rr_ratio] => 1.58
            [high] => 0.01850300
            [low] => 0.01813400
            [mfe_pct] => 1.23
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 1.58
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T23:19:10-04:00
            [end_at] => 2025-11-01T01:19:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000387
            [max_drawdown] => 0.000143
            [rr_ratio] => 2.71
            [high] => 0.01850300
            [low] => 0.01797300
            [mfe_pct] => 2.11
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 2.71
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T23:19:10-04:00
            [end_at] => 2025-11-01T06:19:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01836200
            [high_after] => 0.01850300
            [low_before] => 0.01790500
            [low_after] => 0.01797300
            [is_new_high] => 
            [is_new_low] => 
        )

)