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Short Trade on PENGU

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Short Trade on PENGU 29 Nov 2025 at 10:49:35

Take profit at 0.01089 (0.91 %) and Stop Loss at 0.01105 (0.55 %)

Short Trade on PENGU

The 29 Nov 2025 at 10:49:35

With 152338.5726 PENGU at 0.01099$ per unit.

Position size of 1674.9626 $

Take profit at 0.01089 (0.91 %) and Stop Loss at 0.01105 (0.55 %)

That's a 1.67 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 10
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.714361

15m : -0.059081

1H : 0.029547

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 3.500973682E-5
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.0109674
  4. ema21 : 0.0110657
  5. ema50 : 0.0111842
  6. ema100 : 0.0112477
  7. price_ema9_diff : 0.00251033
  8. ema9_ema21_diff : -0.00888588
  9. ema21_ema50_diff : -0.0105924
  10. price_ema100_diff : -0.0224739
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.185657
  14. ema_slope_21 : -0.154137
  15. ema_slope_50 : -0.0928065
  16. ema_slope_100 : -0.0525881
  17. rsi : 0.446893
  18. adx : 0.116136
  19. kc_percentage : 0.379604
  20. kc_width_percentage : 0.0482339
  21. volume_ema_diff : -0.387308
  22. volume_ema1 : 231604.02779779
  23. volume_ema2 : 378010.56544016
  24. chop : 64.9412
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0109242
  28. ema21 : 0.0109312
  29. ema50 : 0.0110046
  30. ema100 : 0.0111545
  31. price_ema9_diff : 0.0064719
  32. ema9_ema21_diff : -0.000635777
  33. ema21_ema50_diff : -0.00666586
  34. price_ema100_diff : -0.0143061
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0293256
  38. ema_slope_21 : -0.0395653
  39. ema_slope_50 : -0.0477032
  40. ema_slope_100 : -0.0512286
  41. rsi : 0.577399
  42. adx : 0.333823
  43. kc_percentage : 0.809893
  44. kc_width_percentage : 0.0192094
  45. volume_ema_diff : -0.34947
  46. volume_ema1 : 44351.599212241
  47. volume_ema2 : 68177.658792503
  48. chop : 46.3607
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0109492
  52. ema21 : 0.0109174
  53. ema50 : 0.0109178
  54. ema100 : 0.0109393
  55. price_ema9_diff : 0.00417863
  56. ema9_ema21_diff : 0.00291154
  57. ema21_ema50_diff : -3.86597E-5
  58. price_ema100_diff : 0.00509135
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0713102
  62. ema_slope_21 : 0.0313862
  63. ema_slope_50 : 0.00399095
  64. ema_slope_100 : -0.0034718
  65. rsi : 0.660503
  66. adx : 0.267277
  67. kc_percentage : 1.01151
  68. kc_width_percentage : 0.0135875
  69. volume_ema_diff : -0.255256
  70. volume_ema1 : 14843.575418761
  71. volume_ema2 : 19931.130672315
  72. chop : 30.3173
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90616.3
  77. 5m_price_ema100_diff: 
    0.00395546
  78. 5m_price: 
    90974.8
  79. 5m_correlation_with_coin: 
    0.714361
  80. btc_indicators
  81. 15m_ema100: 
    90933
  82. 15m_price_ema100_diff: 
    0.000459206
  83. 15m_price: 
    90974.8
  84. 15m_correlation_with_coin: 
    -0.059081
  85. btc_indicators
  86. 1H_ema100: 
    90123.2
  87. 1H_price_ema100_diff: 
    0.00944885
  88. 1H_price: 
    90974.8
  89. 1H_correlation_with_coin: 
    0.029547
    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] => -3.4830672047728
            [ms_dist_from_last_low_pct] => 1.7668825161887
            [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 10:45:00
                    [1] => 0.011009
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.072667817240434
            [ms_dist_from_last_low_pct] => 1.7668825161887
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.840888066605
            [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 10:45:00
                    [1] => 0.011009
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.072667817240434
            [ms_dist_from_last_low_pct] => 1.6634322151372
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 1.1206025535042
            [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
-0.07%
Dist From Last Low Pct
1.66%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
1.12%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.05%
TP to Pivot Distance
0.0001
0.73%
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 10:45:00 0.011009 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.07%
Dist From Last Low Pct
1.77%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.84%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
3.15%
TP to Pivot Distance
0.0001
0.73%
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 10:45:00 0.011009 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-3.48%
Dist From Last Low Pct
1.77%
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
0.0012
10.95%
TP to Pivot Distance
0.0002
1.67%
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
10:49:35		 29 Nov 2025
12:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01099 0.01105 0.01089 1.67 0.006807
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 0.01099
  • Stop Loss: 0.01105
  • Take Profit: 0.01089

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01105 - 0.01099 = 6.0000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01099 - 0.01089 = 9.9999999999999E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 9.9999999999999E-5 / 6.0000000000001E-5 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1674.9626 100 152338.5726 16.75
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 6.0000000000001E-5

Taille de position = 8 / 6.0000000000001E-5 = 133333.33

Taille de position USD = 133333.33 x 0.01099 = 1465.33

Donc, tu peux acheter 133333.33 avec un stoploss a 0.01105

Avec un position size USD de 1465.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 133333.33 x 6.0000000000001E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 133333.33 x 9.9999999999999E-5 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position 133333.33
  • Taille de position USD 1465.33
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.91 % 15.23 $
SL % Target SL $ Target
0.55 % 9.14 $
PNL PNL %
15.24 $ 0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2184 % 40 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01087
            [stop_loss] => 0.01105
            [rr_ratio] => 2
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01084
            [stop_loss] => 0.01105
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01081
            [stop_loss] => 0.01105
            [rr_ratio] => 3
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01078
            [stop_loss] => 0.01105
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-29 13:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01075
            [stop_loss] => 0.01105
            [rr_ratio] => 4
            [closed_at] => 2025-11-29 15:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000193
            [max_drawdown] => 2.4E-5
            [rr_ratio] => 8.04
            [high] => 0.01101400
            [low] => 0.01079700
            [mfe_pct] => 1.76
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 8.04
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T10:49:35-05:00
            [end_at] => 2025-11-29T12:49:35-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000247
            [max_drawdown] => 2.4E-5
            [rr_ratio] => 10.29
            [high] => 0.01101400
            [low] => 0.01074300
            [mfe_pct] => 2.25
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 10.29
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T10:49:35-05:00
            [end_at] => 2025-11-29T17:49:35-05:00
        )

    [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
        )

)