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Short Trade on PENGU

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Short Trade on PENGU 31 Oct 2025 at 20:58:37

Take profit at 0.01807 (0.88 %) and Stop Loss at 0.01831 (0.44 %)

Short Trade on PENGU

The 31 Oct 2025 at 20:58:37

With 100915.492 PENGU at 0.01823$ per unit.

Position size of 1839.4876 $

Take profit at 0.01807 (0.88 %) and Stop Loss at 0.01831 (0.44 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 6.05
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.809833

15m : -0.043677

1H : -0.008832

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 5.284950038E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.01819
  4. ema21 : 0.018399
  5. ema50 : 0.0190192
  6. ema100 : 0.0197646
  7. price_ema9_diff : 0.00208686
  8. ema9_ema21_diff : -0.011361
  9. ema21_ema50_diff : -0.0326056
  10. price_ema100_diff : -0.0777462
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.220376
  14. ema_slope_21 : -0.208916
  15. ema_slope_50 : -0.215862
  16. ema_slope_100 : -0.174365
  17. rsi : 0.442263
  18. adx : 0.266521
  19. kc_percentage : 0.390161
  20. kc_width_percentage : 0.0753631
  21. volume_ema_diff : -0.526584
  22. volume_ema1 : 299124.0819335
  23. volume_ema2 : 631842.0891285
  24. chop : 46.9471
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0181203
  28. ema21 : 0.0181304
  29. ema50 : 0.0182344
  30. ema100 : 0.0183702
  31. price_ema9_diff : 0.00593866
  32. ema9_ema21_diff : -0.000556715
  33. ema21_ema50_diff : -0.00570288
  34. price_ema100_diff : -0.00774483
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0187248
  38. ema_slope_21 : 0.00116843
  39. ema_slope_50 : -0.0275799
  40. ema_slope_100 : -0.0284968
  41. rsi : 0.518227
  42. adx : 0.114622
  43. kc_percentage : 0.722418
  44. kc_width_percentage : 0.0245413
  45. volume_ema_diff : -0.519471
  46. volume_ema1 : 49349.529790725
  47. volume_ema2 : 102698.50890447
  48. chop : 80.2492
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0181252
  52. ema21 : 0.0181168
  53. ema50 : 0.0181168
  54. ema100 : 0.0181244
  55. price_ema9_diff : 0.0056695
  56. ema9_ema21_diff : 0.000463369
  57. ema21_ema50_diff : -2.01658E-8
  58. price_ema100_diff : 0.00571062
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.0146024
  62. ema_slope_21 : -0.0188008
  63. ema_slope_50 : -0.00827294
  64. ema_slope_100 : -0.00501486
  65. rsi : 0.627088
  66. adx : 0.211903
  67. kc_percentage : 1.0276
  68. kc_width_percentage : 0.0115813
  69. volume_ema_diff : -0.107798
  70. volume_ema1 : 20673.808685056
  71. volume_ema2 : 23171.677748448
  72. chop : 37.1693
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109545
  77. 5m_price_ema100_diff: 
    0.00138957
  78. 5m_price: 
    109697
  79. 5m_correlation_with_coin: 
    0.809833
  80. btc_indicators
  81. 15m_ema100: 
    109489
  82. 15m_price_ema100_diff: 
    0.00177312
  83. 15m_price: 
    109683
  84. 15m_correlation_with_coin: 
    -0.043677
  85. btc_indicators
  86. 1H_ema100: 
    110866
  87. 1H_price_ema100_diff: 
    -0.0105396
  88. 1H_price: 
    109697
  89. 1H_correlation_with_coin: 
    -0.008832
    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 01:00:00
                    [1] => 0.020912
                    [2] => L
                )

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

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

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

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

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

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

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

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

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

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -4.0820620725934
            [ms_dist_from_last_low_pct] => 3.944818150724
            [ms_bars_since_swing_high] => 12
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 8.3684870596283
            [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] => 2025-10-31 07:15:00
                    [1] => 0.018467
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 08:30:00
                    [1] => 0.01901
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 09:30:00
                    [1] => 0.018417
                    [2] => L
                )

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

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

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-31 20:45:00
                    [1] => 0.018245
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.060290490545358
            [ms_dist_from_last_low_pct] => 1.4239626209812
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 1.4851485148515
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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 14:40:00
                    [1] => 0.018005
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-31 15:50:00
                    [1] => 0.018458
                    [2] => H
                )

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

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

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

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-31 20:55:00
                    [1] => 0.018245
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.060290490545358
            [ms_dist_from_last_low_pct] => 1.4239626209812
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.4851485148515
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
1.42%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.49%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.81%
TP to Pivot Distance
0.0001
0.56%
DateTime Price Type
2025-10-31 14:40:00 0.018005 ↑ High
2025-10-31 15:50:00 0.018458 ↑ High
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 20:55:00 0.018245 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.06%
Dist From Last Low Pct
1.42%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
1.49%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0007
3.82%
TP to Pivot Distance
0.0005
2.92%
DateTime Price Type
2025-10-31 07:15:00 0.018467 ↓ Low
2025-10-31 08:30:00 0.01901 ↑ High
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 20:45:00 0.018245 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-4.08%
Dist From Last Low Pct
3.94%
Bars Since Swing High
12 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
8.37%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0039
21.05%
TP to Pivot Distance
0.0005
2.92%
DateTime Price Type
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 21:00:00 0.019124 ↑ High
2025-10-31 08:00:00 0.01901 ↑ High
2025-10-31 13:00:00 0.017542 ↓ Low

📌 Time Data

Start at Closed at Duration
31 Oct 2025
20:58:37		 31 Oct 2025
21:55:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01823 0.01831 0.01807 2 0.006724
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 0.01823
  • Stop Loss: 0.01831
  • Take Profit: 0.01807

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01831 - 0.01823 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01823 - 0.01807 = 0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00016 / 8.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1839.4876 100 100915.492 18.39
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.01823 = 1823

Donc, tu peux acheter 100000 avec un stoploss a 0.01831

Avec un position size USD de 1823$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 100000
  • Taille de position USD 1823
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.88 % 16.15 $
SL % Target SL $ Target
0.44 % 8.07 $
PNL PNL %
16.14 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4279 % 97.52 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01807
            [stop_loss] => 0.01831
            [rr_ratio] => 2
            [closed_at] => 2025-10-31 21:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01803
            [stop_loss] => 0.01831
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-31 22:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01799
            [stop_loss] => 0.01831
            [rr_ratio] => 3
            [closed_at] => 2025-10-31 22:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01795
            [stop_loss] => 0.01831
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-31 22:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01791
            [stop_loss] => 0.01831
            [rr_ratio] => 4
            [closed_at] => 2025-10-31 22:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01787
            [stop_loss] => 0.01831
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01783
            [stop_loss] => 0.01831
            [rr_ratio] => 5
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01779
            [stop_loss] => 0.01831
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01775
            [stop_loss] => 0.01831
            [rr_ratio] => 6
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01771
            [stop_loss] => 0.01831
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01767
            [stop_loss] => 0.01831
            [rr_ratio] => 7
            [closed_at] => 2025-10-31 23:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000325
            [max_drawdown] => 7.8000000000002E-5
            [rr_ratio] => 4.17
            [high] => 0.01830800
            [low] => 0.01790500
            [mfe_pct] => 1.78
            [mae_pct] => 0.43
            [mfe_mae_ratio] => 4.17
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T20:58:37-04:00
            [end_at] => 2025-10-31T22:58:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000325
            [max_drawdown] => 0.000273
            [rr_ratio] => 1.19
            [high] => 0.01850300
            [low] => 0.01790500
            [mfe_pct] => 1.78
            [mae_pct] => 1.5
            [mfe_mae_ratio] => 1.19
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T20:58:37-04:00
            [end_at] => 2025-11-01T03:58:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01824500
            [high_after] => 0.01850300
            [low_before] => 0.01796900
            [low_after] => 0.01790500
            [is_new_high] => 
            [is_new_low] => 1
        )

)