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Short Trade on PENGU

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Short Trade on PENGU 29 Nov 2025 at 10:52:53

Take profit at 0.0109 (0.91 %) and Stop Loss at 0.01105 (0.45 %)

Short Trade on PENGU

The 29 Nov 2025 at 10:52:53

With 157823.3019 PENGU at 0.011$ per unit.

Position size of 1736.5298 $

Take profit at 0.0109 (0.91 %) and Stop Loss at 0.01105 (0.45 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 100
ML Pullback Score: 10
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.55
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 : 0.718063

15m : -0.064622

1H : 0.040648

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 3.379306649E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.010969
  4. ema21 : 0.0110665
  5. ema50 : 0.0111845
  6. ema100 : 0.0112479
  7. price_ema9_diff : 0.00309342
  8. ema9_ema21_diff : -0.00880644
  9. ema21_ema50_diff : -0.0105551
  10. price_ema100_diff : -0.0217764
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.184468
  14. ema_slope_21 : -0.153599
  15. ema_slope_50 : -0.0925753
  16. ema_slope_100 : -0.0524715
  17. rsi : 0.450934
  18. adx : 0.116136
  19. kc_percentage : 0.393252
  20. kc_width_percentage : 0.0481989
  21. volume_ema_diff : -0.382311
  22. volume_ema1 : 233640.77829413
  23. volume_ema2 : 378250.18314561
  24. chop : 64.9412
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0109254
  28. ema21 : 0.0109317
  29. ema50 : 0.0110048
  30. ema100 : 0.0111546
  31. price_ema9_diff : 0.00709358
  32. ema9_ema21_diff : -0.000575869
  33. ema21_ema50_diff : -0.00663753
  34. price_ema100_diff : -0.0135994
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0284134
  38. ema_slope_21 : -0.0391514
  39. ema_slope_50 : -0.047526
  40. ema_slope_100 : -0.0511404
  41. rsi : 0.584324
  42. adx : 0.333823
  43. kc_percentage : 0.845065
  44. kc_width_percentage : 0.0191954
  45. volume_ema_diff : -0.342954
  46. volume_ema1 : 44833.044386574
  47. volume_ema2 : 68234.299401248
  48. chop : 46.3607
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0109609
  52. ema21 : 0.0109257
  53. ema50 : 0.010921
  54. ema100 : 0.0109378
  55. price_ema9_diff : 0.00383564
  56. ema9_ema21_diff : 0.00322418
  57. ema21_ema50_diff : 0.000427522
  58. price_ema100_diff : 0.0059573
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.079733
  62. ema_slope_21 : 0.038881
  63. ema_slope_50 : 0.00847242
  64. ema_slope_100 : -0.000571438
  65. rsi : 0.670392
  66. adx : 0.268275
  67. kc_percentage : 1.03554
  68. kc_width_percentage : 0.0128742
  69. volume_ema_diff : -0.395101
  70. volume_ema1 : 11771.985717396
  71. volume_ema2 : 19461.083418153
  72. chop : 31.6191
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90622.2
  77. 5m_price_ema100_diff: 
    0.00366033
  78. 5m_price: 
    90954
  79. 5m_correlation_with_coin: 
    0.718063
  80. btc_indicators
  81. 15m_ema100: 
    90933
  82. 15m_price_ema100_diff: 
    0.000471063
  83. 15m_price: 
    90975.9
  84. 15m_correlation_with_coin: 
    -0.064622
  85. btc_indicators
  86. 1H_ema100: 
    90122.8
  87. 1H_price_ema100_diff: 
    0.00922267
  88. 1H_price: 
    90954
  89. 1H_correlation_with_coin: 
    0.040648
    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] => -3.6409896473065
            [ms_dist_from_last_low_pct] => 1.6003700277521
            [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] => 0.011014
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.28145996005084
            [ms_dist_from_last_low_pct] => 1.6003700277521
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.8871415356152
            [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 10:50:00
                    [1] => 0.011014
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.28145996005084
            [ms_dist_from_last_low_pct] => 1.4970889936235
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 1.1665288876642
            [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
-0.28%
Dist From Last Low Pct
1.50%
Bars Since Swing High
0 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
1.17%
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
0.83%
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 10:50:00 0.011014 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.28%
Dist From Last Low Pct
1.60%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.89%
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
0.83%
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 0.011014 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-3.64%
Dist From Last Low Pct
1.60%
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
1.76%
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
10:52:53		 29 Nov 2025
12:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.011 0.01105 0.0109 2 0.006805
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 0.011
  • Stop Loss: 0.01105
  • Take Profit: 0.0109

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01105 - 0.011 = 5.0000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.011 - 0.0109 = 9.9999999999999E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 9.9999999999999E-5 / 5.0000000000001E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1736.5298 100 157823.3019 17.37
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 5.0000000000001E-5

Taille de position = 8 / 5.0000000000001E-5 = 160000

Taille de position USD = 160000 x 0.011 = 1760

Donc, tu peux acheter 160000 avec un stoploss a 0.01105

Avec un position size USD de 1760$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0000000000001E-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 9.9999999999999E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 160000
  • Taille de position USD 1760
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.91 % 15.78 $
SL % Target SL $ Target
0.45 % 7.89 $
PNL PNL %
15.79 $ 0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1091 % 24 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0109
            [stop_loss] => 0.01105
            [rr_ratio] => 2
            [closed_at] => 2025-11-29 12:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.010875
            [stop_loss] => 0.01105
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01085
            [stop_loss] => 0.01105
            [rr_ratio] => 3
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.010825
            [stop_loss] => 0.01105
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0108
            [stop_loss] => 0.01105
            [rr_ratio] => 4
            [closed_at] => 2025-11-29 12:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.010775
            [stop_loss] => 0.01105
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-29 13:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01075
            [stop_loss] => 0.01105
            [rr_ratio] => 5
            [closed_at] => 2025-11-29 15:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000203
            [max_drawdown] => 1.2E-5
            [rr_ratio] => 16.92
            [high] => 0.01101200
            [low] => 0.01079700
            [mfe_pct] => 1.85
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 16.92
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T10:52:53-05:00
            [end_at] => 2025-11-29T12:52:53-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000257
            [max_drawdown] => 1.2E-5
            [rr_ratio] => 21.42
            [high] => 0.01101200
            [low] => 0.01074300
            [mfe_pct] => 2.34
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 21.42
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T10:52:53-05:00
            [end_at] => 2025-11-29T17:52:53-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01104500
            [high_after] => 0.01101200
            [low_before] => 0.01081000
            [low_after] => 0.01074300
            [is_new_high] => 
            [is_new_low] => 1
        )

)