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Short Trade on PENGU

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Short Trade on PENGU 29 Nov 2025 at 10:19:11

Take profit at 0.01085 (0.82 %) and Stop Loss at 0.01099 (0.46 %)

Short Trade on PENGU

The 29 Nov 2025 at 10:19:11

With 172348.6368 PENGU at 0.01094$ per unit.

Position size of 1885.4941 $

Take profit at 0.01085 (0.82 %) and Stop Loss at 0.01099 (0.46 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 4.15
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.62
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.693518

15m : 0.18967

1H : 0.017853

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 3.094502766E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0109564
  4. ema21 : 0.0110607
  5. ema50 : 0.0111821
  6. ema100 : 0.0112466
  7. price_ema9_diff : -0.00150303
  8. ema9_ema21_diff : -0.00943236
  9. ema21_ema50_diff : -0.0108487
  10. price_ema100_diff : -0.0272695
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.193829
  14. ema_slope_21 : -0.157833
  15. ema_slope_50 : -0.0943956
  16. ema_slope_100 : -0.05339
  17. rsi : 0.41742
  18. adx : 0.120165
  19. kc_percentage : 0.277202
  20. kc_width_percentage : 0.0466117
  21. volume_ema_diff : -0.460611
  22. volume_ema1 : 202017.03139079
  23. volume_ema2 : 374529.74233345
  24. chop : 64.8821
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0108873
  28. ema21 : 0.0109187
  29. ema50 : 0.0110019
  30. ema100 : 0.0111341
  31. price_ema9_diff : 0.00483314
  32. ema9_ema21_diff : -0.00287263
  33. ema21_ema50_diff : -0.00756449
  34. price_ema100_diff : -0.0174335
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0689754
  38. ema_slope_21 : -0.0564548
  39. ema_slope_50 : -0.0533234
  40. ema_slope_100 : -0.0496049
  41. rsi : 0.506786
  42. adx : 0.366768
  43. kc_percentage : 0.617902
  44. kc_width_percentage : 0.0186139
  45. volume_ema_diff : -0.167174
  46. volume_ema1 : 58778.312621709
  47. volume_ema2 : 70576.953549639
  48. chop : 39.5779
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.010865
  52. ema21 : 0.0108704
  53. ema50 : 0.0109015
  54. ema100 : 0.010934
  55. price_ema9_diff : 0.00689666
  56. ema9_ema21_diff : -0.000492906
  57. ema21_ema50_diff : -0.00285287
  58. price_ema100_diff : 0.000545675
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.00136329
  62. ema_slope_21 : -0.0197551
  63. ema_slope_50 : -0.0215191
  64. ema_slope_100 : -0.0163401
  65. rsi : 0.610034
  66. adx : 0.265306
  67. kc_percentage : 1.03167
  68. kc_width_percentage : 0.0121525
  69. volume_ema_diff : 0.73053
  70. volume_ema1 : 36901.79731762
  71. volume_ema2 : 21323.973976206
  72. chop : 34.3877
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90616.4
  77. 5m_price_ema100_diff: 
    0.00296849
  78. 5m_price: 
    90885.4
  79. 5m_correlation_with_coin: 
    0.693518
  80. btc_indicators
  81. 15m_ema100: 
    90896.4
  82. 15m_price_ema100_diff: 
    -0.00012184
  83. 15m_price: 
    90885.4
  84. 15m_correlation_with_coin: 
    0.18967
  85. btc_indicators
  86. 1H_ema100: 
    90121.4
  87. 1H_price_ema100_diff: 
    0.00847669
  88. 1H_price: 
    90885.4
  89. 1H_correlation_with_coin: 
    0.017853
    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] => 2025-11-26 10:00:00
                    [1] => 0.010708
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-26 16:00:00
                    [1] => 0.011878
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-26 22:00:00
                    [1] => 0.011327
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-27 07:00:00
                    [1] => 0.011099
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-27 11:00:00
                    [1] => 0.01162
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-27 21:00:00
                    [1] => 0.010952
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-28 10:00:00
                    [1] => 0.01226
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-28 13:00:00
                    [1] => 0.011024
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-28 20:00:00
                    [1] => 0.011398
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-29 09:00:00
                    [1] => 0.01081
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -3.8252324969293
            [ms_dist_from_last_low_pct] => 1.4061054579093
            [ms_bars_since_swing_high] => 14
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 5.4394079555967
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-11-28 19:15:00
                    [1] => 0.011134
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-28 20:15:00
                    [1] => 0.011398
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-28 21:30:00
                    [1] => 0.01111
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-28 23:15:00
                    [1] => 0.011108
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-28 23:45:00
                    [1] => 0.011231
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-29 01:30:00
                    [1] => 0.010966
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-29 05:15:00
                    [1] => 0.010868
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-29 07:00:00
                    [1] => 0.011045
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-29 09:00:00
                    [1] => 0.01081
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-29 10:15:00
                    [1] => 0.010962
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.4061054579093
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.4061054579093
            [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] => 2025-11-29 04:30:00
                    [1] => 0.010907
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-29 05:20:00
                    [1] => 0.010868
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-29 05:35:00
                    [1] => 0.010972
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-29 06:05:00
                    [1] => 0.010921
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-29 07:05:00
                    [1] => 0.011045
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-29 08:30:00
                    [1] => 0.010939
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-29 09:10:00
                    [1] => 0.01081
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-29 09:40:00
                    [1] => 0.010821
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-29 09:45:00
                    [1] => 0.010887
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-29 10:15:00
                    [1] => 0.010962
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.3030219018575
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 0.6888950124001
            [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
1.30%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
0.69%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.50%
TP to Pivot Distance
0.0000
0.37%
DateTime Price Type
2025-11-29 04:30:00 0.010907 ↓ Low
2025-11-29 05:20:00 0.010868 ↓ Low
2025-11-29 05:35:00 0.010972 ↑ High
2025-11-29 06:05:00 0.010921 ↓ Low
2025-11-29 07:05:00 0.011045 ↑ High
2025-11-29 08:30:00 0.010939 ↑ High
2025-11-29 09:10:00 0.01081 ↓ Low
2025-11-29 09:40:00 0.010821 ↓ Low
2025-11-29 09:45:00 0.010887 ↑ High
2025-11-29 10:15:00 0.010962 ↑ 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
1.41%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.41%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
3.71%
TP to Pivot Distance
0.0000
0.37%
DateTime Price Type
2025-11-28 19:15:00 0.011134 ↓ Low
2025-11-28 20:15:00 0.011398 ↑ High
2025-11-28 21:30:00 0.01111 ↓ Low
2025-11-28 23:15:00 0.011108 ↓ Low
2025-11-28 23:45:00 0.011231 ↑ High
2025-11-29 01:30:00 0.010966 ↓ Low
2025-11-29 05:15:00 0.010868 ↓ Low
2025-11-29 07:00:00 0.011045 ↑ High
2025-11-29 09:00:00 0.01081 ↓ Low
2025-11-29 10:15:00 0.010962 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-3.83%
Dist From Last Low Pct
1.41%
Bars Since Swing High
14 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
5.44%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
11.56%
TP to Pivot Distance
0.0001
1.31%
DateTime Price Type
2025-11-26 10:00:00 0.010708 ↓ Low
2025-11-26 16:00:00 0.011878 ↑ High
2025-11-26 22:00:00 0.011327 ↓ Low
2025-11-27 07:00:00 0.011099 ↓ Low
2025-11-27 11:00:00 0.01162 ↑ High
2025-11-27 21:00:00 0.010952 ↓ Low
2025-11-28 10:00:00 0.01226 ↑ High
2025-11-28 13:00:00 0.011024 ↓ Low
2025-11-28 20:00:00 0.011398 ↑ High
2025-11-29 09:00:00 0.01081 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Nov 2025
10:19:11		 29 Nov 2025
10:20:00		 49 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01094 0.01099 0.01085 1.8 0.007141
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 0.01094
  • Stop Loss: 0.01099
  • Take Profit: 0.01085

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01099 - 0.01094 = 5.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01094 - 0.01085 = 9.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 9.0E-5 / 5.0E-5 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
1885.4941 100 172348.6368 18.85
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 5.0E-5

Taille de position = 8 / 5.0E-5 = 160000

Taille de position USD = 160000 x 0.01094 = 1750.4

Donc, tu peux acheter 160000 avec un stoploss a 0.01099

Avec un position size USD de 1750.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160000 x 9.0E-5 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 160000
  • Taille de position USD 1750.4
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.82 % 15.51 $
SL % Target SL $ Target
0.46 % 8.62 $
PNL PNL %
-8.62 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4936 % 108.01 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01085
            [entry_price] => 0.01094
            [stop_loss] => 0.010995
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-29 10:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01085
            [entry_price] => 0.01094
            [stop_loss] => 0.011
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-29 10:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01085
            [entry_price] => 0.01094
            [stop_loss] => 0.011005
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-29 10:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01085
            [entry_price] => 0.01094
            [stop_loss] => 0.011015
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.1000000000001E-5
            [max_drawdown] => 7.3999999999999E-5
            [rr_ratio] => 0.69
            [high] => 0.01101400
            [low] => 0.01088900
            [mfe_pct] => 0.47
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 0.69
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T10:19:11-05:00
            [end_at] => 2025-11-29T12:19:11-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000197
            [max_drawdown] => 7.3999999999999E-5
            [rr_ratio] => 2.66
            [high] => 0.01101400
            [low] => 0.01074300
            [mfe_pct] => 1.8
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 2.66
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T10:19:11-05:00
            [end_at] => 2025-11-29T17:19:11-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01104500
            [high_after] => 0.01101400
            [low_before] => 0.01081000
            [low_after] => 0.01074300
            [is_new_high] => 
            [is_new_low] => 1
        )

)