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Short Trade on PENGU

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Short Trade on PENGU 30 Oct 2025 at 19:58:41

Take profit at 0.01838 (1.08 %) and Stop Loss at 0.01868 (0.54 %)

Short Trade on PENGU

The 30 Oct 2025 at 19:58:41

With 78763.0391 PENGU at 0.01858$ per unit.

Position size of 1463.496 $

Take profit at 0.01838 (1.08 %) and Stop Loss at 0.01868 (0.54 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.97
Prediction 3 Probability
0 0.98
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.757649

15m : -0.011116

1H : 0.064397

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 6.771365599E-5
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.0185988
  4. ema21 : 0.01925
  5. ema50 : 0.0200852
  6. ema100 : 0.020689
  7. price_ema9_diff : -0.000959268
  8. ema9_ema21_diff : -0.0338289
  9. ema21_ema50_diff : -0.041585
  10. price_ema100_diff : -0.101893
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.780511
  14. ema_slope_21 : -0.608638
  15. ema_slope_50 : -0.36339
  16. ema_slope_100 : -0.219767
  17. rsi : 0.362782
  18. adx : 0.423593
  19. kc_percentage : 0.118257
  20. kc_width_percentage : 0.087802
  21. volume_ema_diff : -0.314473
  22. volume_ema1 : 640936.41497622
  23. volume_ema2 : 934954.36441704
  24. chop : 34.9067
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0184098
  28. ema21 : 0.0183933
  29. ema50 : 0.0187908
  30. ema100 : 0.0194431
  31. price_ema9_diff : 0.00929599
  32. ema9_ema21_diff : 0.000900201
  33. ema21_ema50_diff : -0.0211544
  34. price_ema100_diff : -0.0443438
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.14161
  38. ema_slope_21 : 0.01003
  39. ema_slope_50 : -0.108301
  40. ema_slope_100 : -0.121356
  41. rsi : 0.543421
  42. adx : 0.294329
  43. kc_percentage : 0.838616
  44. kc_width_percentage : 0.03083
  45. volume_ema_diff : -0.696893
  46. volume_ema1 : 64783.863204544
  47. volume_ema2 : 213733.18981665
  48. chop : 52.769
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0184952
  52. ema21 : 0.0184358
  53. ema50 : 0.0183631
  54. ema100 : 0.0183867
  55. price_ema9_diff : 0.00463879
  56. ema9_ema21_diff : 0.00322102
  57. ema21_ema50_diff : 0.00395662
  58. price_ema100_diff : 0.0105625
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0418656
  62. ema_slope_21 : 0.0426063
  63. ema_slope_50 : 0.0298778
  64. ema_slope_100 : 0.00975853
  65. rsi : 0.704069
  66. adx : 0.291076
  67. kc_percentage : 1.0536
  68. kc_width_percentage : 0.0136856
  69. volume_ema_diff : 0.0219721
  70. volume_ema1 : 48845.833576383
  71. volume_ema2 : 47795.662064515
  72. chop : 57.9693
  73. regime : bull_low_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107525
  77. 5m_price_ema100_diff: 
    0.00681105
  78. 5m_price: 
    108257
  79. 5m_correlation_with_coin: 
    0.757649
  80. btc_indicators
  81. 15m_ema100: 
    108657
  82. 15m_price_ema100_diff: 
    -0.00442139
  83. 15m_price: 
    108176
  84. 15m_correlation_with_coin: 
    -0.011116
  85. btc_indicators
  86. 1H_ema100: 
    111585
  87. 1H_price_ema100_diff: 
    -0.0298258
  88. 1H_price: 
    108257
  89. 1H_correlation_with_coin: 
    0.064397
    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] => 2025-10-27 09:00:00
                    [1] => 0.02154
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-27 14:00:00
                    [1] => 0.022517
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 0.020912
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.022164
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.020134
                    [2] => L
                )

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-30 19:00:00
                    [1] => 0.018586
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.096847089206915
            [ms_dist_from_last_low_pct] => 4.467199279847
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 4.568470800045
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [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] => 2025-10-29 18:15:00
                    [1] => 0.02174
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 0.020868
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 20:45:00
                    [1] => 0.021426
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.020949
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 0.021311
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.019869
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 03:30:00
                    [1] => 0.02106
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 11:30:00
                    [1] => 0.018604
                    [2] => L
                )

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

            [9] => Array
                (
                    [0] => 2025-10-30 19:45:00
                    [1] => 0.018586
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.096847089206915
            [ms_dist_from_last_low_pct] => 4.467199279847
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 4.568470800045
            [ms_bos_up] => 0
            [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] => 2025-10-30 12:10:00
                    [1] => 0.019001
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-30 13:35:00
                    [1] => 0.018255
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-30 13:45:00
                    [1] => 0.018649
                    [2] => H
                )

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

            [4] => Array
                (
                    [0] => 2025-10-30 16:30:00
                    [1] => 0.017844
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 17:10:00
                    [1] => 0.018388
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 18:20:00
                    [1] => 0.018423
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 19:00:00
                    [1] => 0.018486
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 19:20:00
                    [1] => 0.018365
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:55:00
                    [1] => 0.018586
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.096847089206915
            [ms_dist_from_last_low_pct] => 1.1053634631092
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.2033759869317
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
1.11%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.20%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
1.72%
TP to Pivot Distance
0.0006
3.30%
DateTime Price Type
2025-10-30 12:10:00 0.019001 ↑ High
2025-10-30 13:35:00 0.018255 ↓ Low
2025-10-30 13:45:00 0.018649 ↑ High
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 16:30:00 0.017844 ↓ Low
2025-10-30 17:10:00 0.018388 ↑ High
2025-10-30 18:20:00 0.018423 ↑ High
2025-10-30 19:00:00 0.018486 ↑ High
2025-10-30 19:20:00 0.018365 ↓ Low
2025-10-30 19:55:00 0.018586 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
4.47%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
4.57%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0031
16.38%
TP to Pivot Distance
0.0006
3.30%
DateTime Price Type
2025-10-29 18:15:00 0.02174 ↑ High
2025-10-29 20:00:00 0.020868 ↓ Low
2025-10-29 20:45:00 0.021426 ↑ High
2025-10-29 22:00:00 0.020949 ↓ Low
2025-10-29 22:30:00 0.021311 ↑ High
2025-10-30 00:15:00 0.019869 ↓ Low
2025-10-30 03:30:00 0.02106 ↑ High
2025-10-30 11:30:00 0.018604 ↓ Low
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 19:45:00 0.018586 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.10%
Dist From Last Low Pct
4.47%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
4.57%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0038
20.54%
TP to Pivot Distance
0.0006
3.30%
DateTime Price Type
2025-10-27 09:00:00 0.02154 ↓ Low
2025-10-27 14:00:00 0.022517 ↑ High
2025-10-28 01:00:00 0.020912 ↓ Low
2025-10-28 09:00:00 0.022164 ↑ High
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 19:00:00 0.018586 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
19:58:41		 30 Oct 2025
20:45:00		 46 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01858 0.01868 0.01838 2 0.006936
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 0.01858
  • Stop Loss: 0.01868
  • Take Profit: 0.01838

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01868 - 0.01858 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01858 - 0.01838 = 0.0002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0002 / 9.9999999999999E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1463.496 100 78763.0391 14.63
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01858 = 1486.4

Donc, tu peux acheter 80000 avec un stoploss a 0.01868

Avec un position size USD de 1486.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.0002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 80000
  • Taille de position USD 1486.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.08 % 15.75 $
SL % Target SL $ Target
0.54 % 7.88 $
PNL PNL %
-7.88 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7158 % 133 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01838
            [entry_price] => 0.01858
            [stop_loss] => 0.01869
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01838
            [entry_price] => 0.01858
            [stop_loss] => 0.0187
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01838
            [entry_price] => 0.01858
            [stop_loss] => 0.01871
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01838
            [entry_price] => 0.01858
            [stop_loss] => 0.01873
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 20:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000103
            [max_drawdown] => 0.000544
            [rr_ratio] => 0.19
            [high] => 0.01912400
            [low] => 0.01847700
            [mfe_pct] => 0.55
            [mae_pct] => 2.93
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T19:58:41-04:00
            [end_at] => 2025-10-30T21:58:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000103
            [max_drawdown] => 0.000544
            [rr_ratio] => 0.19
            [high] => 0.01912400
            [low] => 0.01847700
            [mfe_pct] => 0.55
            [mae_pct] => 2.93
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T19:58:41-04:00
            [end_at] => 2025-10-31T02:58:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01858600
            [high_after] => 0.01912400
            [low_before] => 0.01777400
            [low_after] => 0.01847700
            [is_new_high] => 
            [is_new_low] => 
        )

)