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Short Trade on PENGU

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Short Trade on PENGU 30 Nov 2025 at 01:32:38

Take profit at 0.01082 (0.73 %) and Stop Loss at 0.01094 (0.37 %)

Short Trade on PENGU

The 30 Nov 2025 at 01:32:38

With 196529.9303 PENGU at 0.0109$ per unit.

Position size of 2142.9624 $

Take profit at 0.01082 (0.73 %) and Stop Loss at 0.01094 (0.37 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.76
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.729427

15m : -0.277228

1H : -0.180533

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 2.713751196E-5
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 0.0108609
  4. ema21 : 0.0109071
  5. ema50 : 0.0110328
  6. ema100 : 0.011115
  7. price_ema9_diff : 0.0039639
  8. ema9_ema21_diff : -0.00423324
  9. ema21_ema50_diff : -0.0113996
  10. price_ema100_diff : -0.0189882
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0407867
  14. ema_slope_21 : -0.081728
  15. ema_slope_50 : -0.0814907
  16. ema_slope_100 : -0.0523931
  17. rsi : 0.480677
  18. adx : 0.132253
  19. kc_percentage : 0.503779
  20. kc_width_percentage : 0.0455397
  21. volume_ema_diff : 0.202325
  22. volume_ema1 : 394153.65223159
  23. volume_ema2 : 327826.19228498
  24. chop : 73.4167
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0108368
  28. ema21 : 0.0108447
  29. ema50 : 0.0108637
  30. ema100 : 0.0109041
  31. price_ema9_diff : 0.00619979
  32. ema9_ema21_diff : -0.000731635
  33. ema21_ema50_diff : -0.0017529
  34. price_ema100_diff : -1.46803E-5
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0270584
  38. ema_slope_21 : -0.023495
  39. ema_slope_50 : -0.0155331
  40. ema_slope_100 : -0.0150598
  41. rsi : 0.563708
  42. adx : 0.151844
  43. kc_percentage : 0.78076
  44. kc_width_percentage : 0.0195904
  45. volume_ema_diff : 0.253546
  46. volume_ema1 : 99261.925791719
  47. volume_ema2 : 79184.854675033
  48. chop : 52.5987
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0108282
  52. ema21 : 0.0108166
  53. ema50 : 0.0108317
  54. ema100 : 0.0108431
  55. price_ema9_diff : 0.00699292
  56. ema9_ema21_diff : 0.00107251
  57. ema21_ema50_diff : -0.00138921
  58. price_ema100_diff : 0.00561547
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0267136
  62. ema_slope_21 : -0.00121691
  63. ema_slope_50 : -0.0102939
  64. ema_slope_100 : -0.00731662
  65. rsi : 0.681864
  66. adx : 0.201605
  67. kc_percentage : 1.29657
  68. kc_width_percentage : 0.0100724
  69. volume_ema_diff : -0.132526
  70. volume_ema1 : 33514.286481204
  71. volume_ema2 : 38634.364065367
  72. chop : 35.4967
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90782.3
  77. 5m_price_ema100_diff: 
    0.00111928
  78. 5m_price: 
    90884
  79. 5m_correlation_with_coin: 
    0.729427
  80. btc_indicators
  81. 15m_ema100: 
    90740.7
  82. 15m_price_ema100_diff: 
    0.0015786
  83. 15m_price: 
    90884
  84. 15m_correlation_with_coin: 
    -0.277228
  85. btc_indicators
  86. 1H_ema100: 
    90247.8
  87. 1H_price_ema100_diff: 
    0.00704885
  88. 1H_price: 
    90884
  89. 1H_correlation_with_coin: 
    -0.180533
    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 22:00:00
                    [1] => 0.011327
                    [2] => L
                )

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

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

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

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

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

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

            [7] => Array
                (
                    [0] => 2025-11-29 15:00:00
                    [1] => 0.010743
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-29 21:00:00
                    [1] => 0.011008
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-29 22:00:00
                    [1] => 0.01074
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.72674418604651
            [ms_dist_from_last_low_pct] => 1.7504655493482
            [ms_bars_since_swing_high] => 4
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.4953445065177
            [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] => 2025-11-29 09:00:00
                    [1] => 0.01081
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-29 10:45:00
                    [1] => 0.011014
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-29 13:00:00
                    [1] => 0.01076
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-29 15:15:00
                    [1] => 0.010743
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-29 16:30:00
                    [1] => 0.010938
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-29 18:00:00
                    [1] => 0.010781
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-29 21:00:00
                    [1] => 0.011008
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-29 22:15:00
                    [1] => 0.01074
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-30 01:00:00
                    [1] => 0.010766
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 01:30:00
                    [1] => 0.010929
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0091499679751054
            [ms_dist_from_last_low_pct] => 1.5047371354263
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 1.5140256362623
            [ms_bos_up] => 0
            [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] => 2025-11-29 20:00:00
                    [1] => 0.010823
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-29 20:30:00
                    [1] => 0.010974
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-29 21:10:00
                    [1] => 0.011008
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-29 22:20:00
                    [1] => 0.01074
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-29 22:45:00
                    [1] => 0.010938
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-30 00:15:00
                    [1] => 0.010771
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-30 00:30:00
                    [1] => 0.010771
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-30 00:40:00
                    [1] => 0.010821
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-30 01:10:00
                    [1] => 0.010766
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 01:30:00
                    [1] => 0.010929
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0091499679751054
            [ms_dist_from_last_low_pct] => 1.5047371354263
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.5140256362623
            [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
-0.01%
Dist From Last Low Pct
1.50%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.51%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.62%
TP to Pivot Distance
0.0001
0.74%
DateTime Price Type
2025-11-29 20:00:00 0.010823 ↓ Low
2025-11-29 20:30:00 0.010974 ↑ High
2025-11-29 21:10:00 0.011008 ↑ High
2025-11-29 22:20:00 0.01074 ↓ Low
2025-11-29 22:45:00 0.010938 ↑ High
2025-11-30 00:15:00 0.010771 ↓ Low
2025-11-30 00:30:00 0.010771 ↓ Low
2025-11-30 00:40:00 0.010821 ↑ High
2025-11-30 01:10:00 0.010766 ↓ Low
2025-11-30 01:30:00 0.010929 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.01%
Dist From Last Low Pct
1.50%
Bars Since Swing High
0 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
1.51%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.68%
TP to Pivot Distance
0.0001
0.74%
DateTime Price Type
2025-11-29 09:00:00 0.01081 ↓ Low
2025-11-29 10:45:00 0.011014 ↑ High
2025-11-29 13:00:00 0.01076 ↓ Low
2025-11-29 15:15:00 0.010743 ↓ Low
2025-11-29 16:30:00 0.010938 ↑ High
2025-11-29 18:00:00 0.010781 ↓ Low
2025-11-29 21:00:00 0.011008 ↑ High
2025-11-29 22:15:00 0.01074 ↓ Low
2025-11-30 01:00:00 0.010766 ↓ Low
2025-11-30 01:30:00 0.010929 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.73%
Dist From Last Low Pct
1.75%
Bars Since Swing High
4 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.50%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
12.07%
TP to Pivot Distance
0.0001
0.74%
DateTime Price Type
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 15:00:00 0.010743 ↓ Low
2025-11-29 21:00:00 0.011008 ↑ High
2025-11-29 22:00:00 0.01074 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Nov 2025
01:32:38		 30 Nov 2025
01:35:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0109 0.01094 0.01082 2 0.006936
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 0.0109
  • Stop Loss: 0.01094
  • Take Profit: 0.01082

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01094 - 0.0109 = 4.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0109 - 0.01082 = 8.0E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 8.0E-5 / 4.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
2142.9624 100 196529.9303 21.43
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 4.0E-5

Taille de position = 8 / 4.0E-5 = 200000

Taille de position USD = 200000 x 0.0109 = 2180

Donc, tu peux acheter 200000 avec un stoploss a 0.01094

Avec un position size USD de 2180$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 200000 x 4.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 200000 x 8.0E-5 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 200000
  • Taille de position USD 2180
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.73 % 15.72 $
SL % Target SL $ Target
0.37 % 7.86 $
PNL PNL %
-7.86 $ -0.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3853 % 104.99 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01082
            [entry_price] => 0.0109
            [stop_loss] => 0.010944
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-30 01:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01082
            [entry_price] => 0.0109
            [stop_loss] => 0.010948
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-30 01:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01082
            [entry_price] => 0.0109
            [stop_loss] => 0.010952
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-30 01:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01082
            [entry_price] => 0.0109
            [stop_loss] => 0.01096
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-30 02:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.9999999999927E-7
            [max_drawdown] => 0.000238
            [rr_ratio] => 0
            [high] => 0.01113800
            [low] => 0.01089900
            [mfe_pct] => 0.01
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-11-30T01:32:38-05:00
            [end_at] => 2025-11-30T03:32:38-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 5.9999999999999E-5
            [max_drawdown] => 0.000322
            [rr_ratio] => 0.19
            [high] => 0.01122200
            [low] => 0.01084000
            [mfe_pct] => 0.55
            [mae_pct] => 2.95
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 84
            [start_at] => 2025-11-30T01:32:38-05:00
            [end_at] => 2025-11-30T08:32:38-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01095300
            [high_after] => 0.01114700
            [low_before] => 0.01074000
            [low_after] => 0.01084000
            [is_new_high] => 
            [is_new_low] => 
        )

)