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Short Trade on PENGU

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Short Trade on PENGU 30 Oct 2025 at 20:52:08

Take profit at 0.01851 (1.02 %) and Stop Loss at 0.01879 (0.48 %)

Short Trade on PENGU

The 30 Oct 2025 at 20:52:08

With 83922.8407 PENGU at 0.0187$ per unit.

Position size of 1569.0214 $

Take profit at 0.01851 (1.02 %) and Stop Loss at 0.01879 (0.48 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.16
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.94
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.745865

15m : -0.097345

1H : 0.020665

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 6.355043859E-5
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0186161
  4. ema21 : 0.0191986
  5. ema50 : 0.0200336
  6. ema100 : 0.0206735
  7. price_ema9_diff : 0.00428696
  8. ema9_ema21_diff : -0.0303369
  9. ema21_ema50_diff : -0.041679
  10. price_ema100_diff : -0.0956576
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.717136
  14. ema_slope_21 : -0.595255
  15. ema_slope_50 : -0.36748
  16. ema_slope_100 : -0.226355
  17. rsi : 0.384239
  18. adx : 0.421241
  19. kc_percentage : 0.206714
  20. kc_width_percentage : 0.0835852
  21. volume_ema_diff : -0.405556
  22. volume_ema1 : 540966.2110187
  23. volume_ema2 : 910038.12659986
  24. chop : 35.5636
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.018532
  28. ema21 : 0.0184623
  29. ema50 : 0.0187596
  30. ema100 : 0.0193466
  31. price_ema9_diff : 0.00884826
  32. ema9_ema21_diff : 0.00377512
  33. ema21_ema50_diff : -0.0158512
  34. price_ema100_diff : -0.033632
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.146367
  38. ema_slope_21 : 0.053708
  39. ema_slope_50 : -0.0706183
  40. ema_slope_100 : -0.0985802
  41. rsi : 0.607227
  42. adx : 0.246569
  43. kc_percentage : 0.946079
  44. kc_width_percentage : 0.0281777
  45. volume_ema_diff : -0.609081
  46. volume_ema1 : 77635.415564531
  47. volume_ema2 : 198597.68188851
  48. chop : 59.0072
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0186014
  52. ema21 : 0.0185355
  53. ema50 : 0.0184427
  54. ema100 : 0.0184436
  55. price_ema9_diff : 0.00508344
  56. ema9_ema21_diff : 0.00355244
  57. ema21_ema50_diff : 0.00503308
  58. price_ema100_diff : 0.0136842
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0575974
  62. ema_slope_21 : 0.0516911
  63. ema_slope_50 : 0.0384301
  64. ema_slope_100 : 0.0164022
  65. rsi : 0.72491
  66. adx : 0.297285
  67. kc_percentage : 1.13085
  68. kc_width_percentage : 0.0131963
  69. volume_ema_diff : -0.280001
  70. volume_ema1 : 29660.309456926
  71. volume_ema2 : 41194.935647042
  72. chop : 44.8863
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107789
  77. 5m_price_ema100_diff: 
    0.00986237
  78. 5m_price: 
    108852
  79. 5m_correlation_with_coin: 
    0.745865
  80. btc_indicators
  81. 15m_ema100: 
    108603
  82. 15m_price_ema100_diff: 
    0.00229393
  83. 15m_price: 
    108852
  84. 15m_correlation_with_coin: 
    -0.097345
  85. btc_indicators
  86. 1H_ema100: 
    111557
  87. 1H_price_ema100_diff: 
    -0.0242445
  88. 1H_price: 
    108852
  89. 1H_correlation_with_coin: 
    0.020665
    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 20:00:00
                    [1] => 0.018822
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 5.8962529537527
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 5.8962529537527
            [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 19:15:00
                    [1] => 0.021448
                    [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 20:45:00
                    [1] => 0.018822
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 5.8962529537527
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 19
            [ms_last_swing_amplitude_pct] => 5.8962529537527
            [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 13:45:00
                    [1] => 0.018649
                    [2] => H
                )

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

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

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

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

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

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

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

            [8] => Array
                (
                    [0] => 2025-10-30 20:25:00
                    [1] => 0.018477
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 20:50:00
                    [1] => 0.018822
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.8671862315311
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.8671862315311
            [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
0.00%
Dist From Last Low Pct
1.87%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.87%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.17%
TP to Pivot Distance
0.0007
3.98%
DateTime Price Type
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
2025-10-30 20:25:00 0.018477 ↓ Low
2025-10-30 20:50:00 0.018822 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
5.90%
Bars Since Swing High
0 bars
Bars Since Swing Low
19 bars
Last Swing Amplitude Pct
5.90%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0027
14.15%
TP to Pivot Distance
0.0007
3.98%
DateTime Price Type
2025-10-29 19:15:00 0.021448 ↑ 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 20:45:00 0.018822 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
5.90%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
5.90%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
19.84%
TP to Pivot Distance
0.0007
3.98%
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 20:00:00 0.018822 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
20:52:08		 30 Oct 2025
20:55:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0187 0.01879 0.01851 2.11 0.00693
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 0.0187
  • Stop Loss: 0.01879
  • Take Profit: 0.01851

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01879 - 0.0187 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0187 - 0.01851 = 0.00019

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1569.0214 100 83922.8407 15.69
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 0.0187 = 1662.22

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01879

Avec un position size USD de 1662.22$

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 1662.22
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
1.02 % 15.95 $
SL % Target SL $ Target
0.48 % 7.55 $
PNL PNL %
-7.55 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.754 % 156.66 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01851
            [entry_price] => 0.0187
            [stop_loss] => 0.018799
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 20:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01851
            [entry_price] => 0.0187
            [stop_loss] => 0.018808
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 20:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01851
            [entry_price] => 0.0187
            [stop_loss] => 0.018817
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 20:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01851
            [entry_price] => 0.0187
            [stop_loss] => 0.018835
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 20:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.5000000000001E-5
            [max_drawdown] => 0.000424
            [rr_ratio] => 0.06
            [high] => 0.01912400
            [low] => 0.01867500
            [mfe_pct] => 0.13
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T20:52:08-04:00
            [end_at] => 2025-10-30T22:52:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 7.6E-5
            [max_drawdown] => 0.000424
            [rr_ratio] => 0.18
            [high] => 0.01912400
            [low] => 0.01862400
            [mfe_pct] => 0.41
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T20:52:08-04:00
            [end_at] => 2025-10-31T03:52:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01882200
            [high_after] => 0.01912400
            [low_before] => 0.01812600
            [low_after] => 0.01865100
            [is_new_high] => 
            [is_new_low] => 
        )

)