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Short Trade on PENGU

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Short Trade on PENGU 29 Nov 2025 at 16:49:11

Take profit at 0.01085 (0.64 %) and Stop Loss at 0.01096 (0.37 %)

Short Trade on PENGU

The 29 Nov 2025 at 16:49:11

With 210891.0061 PENGU at 0.01092$ per unit.

Position size of 2303.7734 $

Take profit at 0.01085 (0.64 %) and Stop Loss at 0.01096 (0.37 %)

That's a 1.75 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 7.23
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.89
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.7
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 : 0.686138

15m : -0.006447

1H : -0.00382

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 2.528952482E-5
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.0108943
  4. ema21 : 0.0109786
  5. ema50 : 0.011112
  6. ema100 : 0.0111718
  7. price_ema9_diff : 0.00272028
  8. ema9_ema21_diff : -0.00767554
  9. ema21_ema50_diff : -0.0120091
  10. price_ema100_diff : -0.0221826
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.128864
  14. ema_slope_21 : -0.140561
  15. ema_slope_50 : -0.0985712
  16. ema_slope_100 : -0.0549437
  17. rsi : 0.446322
  18. adx : 0.135456
  19. kc_percentage : 0.405283
  20. kc_width_percentage : 0.0460717
  21. volume_ema_diff : -0.464531
  22. volume_ema1 : 182827.85344393
  23. volume_ema2 : 341435.31700103
  24. chop : 72.7126
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0108678
  28. ema21 : 0.0108621
  29. ema50 : 0.0109063
  30. ema100 : 0.0109797
  31. price_ema9_diff : 0.00516224
  32. ema9_ema21_diff : 0.000524834
  33. ema21_ema50_diff : -0.00404516
  34. price_ema100_diff : -0.00508042
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00668255
  38. ema_slope_21 : -0.0200517
  39. ema_slope_50 : -0.0301146
  40. ema_slope_100 : -0.02879
  41. rsi : 0.577564
  42. adx : 0.228231
  43. kc_percentage : 0.794344
  44. kc_width_percentage : 0.0194723
  45. volume_ema_diff : -0.412441
  46. volume_ema1 : 31632.076160144
  47. volume_ema2 : 53836.51385539
  48. chop : 54.8499
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0108906
  52. ema21 : 0.0108588
  53. ema50 : 0.0108495
  54. ema100 : 0.010864
  55. price_ema9_diff : 0.00306217
  56. ema9_ema21_diff : 0.00293102
  57. ema21_ema50_diff : 0.000859149
  58. price_ema100_diff : 0.00551898
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0760039
  62. ema_slope_21 : 0.0449007
  63. ema_slope_50 : 0.0146994
  64. ema_slope_100 : 0.00301523
  65. rsi : 0.710909
  66. adx : 0.274448
  67. kc_percentage : 1.15481
  68. kc_width_percentage : 0.00889768
  69. volume_ema_diff : -0.244828
  70. volume_ema1 : 11797.741816158
  71. volume_ema2 : 15622.609524676
  72. chop : 33.124
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90712.9
  77. 5m_price_ema100_diff: 
    0.0027357
  78. 5m_price: 
    90961.1
  79. 5m_correlation_with_coin: 
    0.686138
  80. btc_indicators
  81. 15m_ema100: 
    90749.7
  82. 15m_price_ema100_diff: 
    0.00232859
  83. 15m_price: 
    90961.1
  84. 15m_correlation_with_coin: 
    -0.006447
  85. btc_indicators
  86. 1H_ema100: 
    90162.9
  87. 1H_price_ema100_diff: 
    0.00885261
  88. 1H_price: 
    90961.1
  89. 1H_correlation_with_coin: 
    -0.00382
    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 15:00:00
                    [1] => 0.010743
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -4.263905948412
            [ms_dist_from_last_low_pct] => 1.5731173787583
            [ms_bars_since_swing_high] => 20
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 6.0969933910453
            [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 23:15:00
                    [1] => 0.011108
                    [2] => L
                )

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

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

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

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

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

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

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

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

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

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.23770341927226
            [ms_dist_from_last_low_pct] => 1.5731173787583
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.8151354370288
            [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 10:50:00
                    [1] => 0.011014
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-29 11:20:00
                    [1] => 0.011012
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-29 11:25:00
                    [1] => 0.010909
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-29 11:55:00
                    [1] => 0.010961
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-29 12:30:00
                    [1] => 0.010797
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-29 13:10:00
                    [1] => 0.01076
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-29 13:45:00
                    [1] => 0.010874
                    [2] => H
                )

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

            [8] => Array
                (
                    [0] => 2025-11-29 15:55:00
                    [1] => 0.010889
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-29 16:40:00
                    [1] => 0.010938
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.23770341927226
            [ms_dist_from_last_low_pct] => 1.5731173787583
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 18
            [ms_last_swing_amplitude_pct] => 0.44999540821012
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.24%
Dist From Last Low Pct
1.57%
Bars Since Swing High
1 bars
Bars Since Swing Low
18 bars
Last Swing Amplitude Pct
0.45%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.49%
TP to Pivot Distance
0.0001
0.99%
DateTime Price Type
2025-11-29 10:50:00 0.011014 ↑ High
2025-11-29 11:20:00 0.011012 ↑ High
2025-11-29 11:25:00 0.010909 ↓ Low
2025-11-29 11:55:00 0.010961 ↑ High
2025-11-29 12:30:00 0.010797 ↓ Low
2025-11-29 13:10:00 0.01076 ↓ Low
2025-11-29 13:45:00 0.010874 ↑ High
2025-11-29 15:15:00 0.010743 ↓ Low
2025-11-29 15:55:00 0.010889 ↑ High
2025-11-29 16:40:00 0.010938 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.24%
Dist From Last Low Pct
1.57%
Bars Since Swing High
1 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.82%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
2.47%
TP to Pivot Distance
0.0001
0.99%
DateTime Price Type
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
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
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-4.26%
Dist From Last Low Pct
1.57%
Bars Since Swing High
20 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
6.10%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
11.86%
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 15:00:00 0.010743 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Nov 2025
16:49:11		 29 Nov 2025
17:15:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01092 0.01096 0.01085 1.75 0.00687
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 0.01092
  • Stop Loss: 0.01096
  • Take Profit: 0.01085

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01096 - 0.01092 = 4.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01092 - 0.01085 = 6.9999999999999E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 6.9999999999999E-5 / 4.0E-5 = 1.75

📌 Position Size

Amount Margin Quantity Leverage
2303.7734 100 210891.0061 23.04
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 0.01092 = 2184

Donc, tu peux acheter 200000 avec un stoploss a 0.01096

Avec un position size USD de 2184$

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 6.9999999999999E-5 = 14

Si Take Profit atteint, tu gagneras 14$

Résumé

  • Taille de position 200000
  • Taille de position USD 2184
  • Perte potentielle 8
  • Gain potentiel 14
  • Risk-Reward Ratio 1.75

📌 Peformances

TP % Target TP $ Target
0.64 % 14.76 $
SL % Target SL $ Target
0.37 % 8.44 $
PNL PNL %
14.77 $ 0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0092 % 2.51 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01084
            [stop_loss] => 0.01096
            [rr_ratio] => 2
            [closed_at] => 2025-11-29 17:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01082
            [stop_loss] => 0.01096
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-29 17:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0108
            [stop_loss] => 0.01096
            [rr_ratio] => 3
            [closed_at] => 2025-11-29 18:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01078
            [stop_loss] => 0.01096
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01076
            [stop_loss] => 0.01096
            [rr_ratio] => 4
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01074
            [stop_loss] => 0.01096
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.01072
            [stop_loss] => 0.01096
            [rr_ratio] => 5
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.0107
            [stop_loss] => 0.01096
            [rr_ratio] => 5.5
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01068
            [stop_loss] => 0.01096
            [rr_ratio] => 6
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01066
            [stop_loss] => 0.01096
            [rr_ratio] => 6.5
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01064
            [stop_loss] => 0.01096
            [rr_ratio] => 7
            [closed_at] => 2025-11-29 20:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000139
            [max_drawdown] => 1.000000000001E-6
            [rr_ratio] => 100
            [high] => 0.01092100
            [low] => 0.01078100
            [mfe_pct] => 1.27
            [mae_pct] => 0.01
            [mfe_mae_ratio] => 139
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T16:49:11-05:00
            [end_at] => 2025-11-29T18:49:11-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00018
            [max_drawdown] => 8.8000000000001E-5
            [rr_ratio] => 2.05
            [high] => 0.01100800
            [low] => 0.01074000
            [mfe_pct] => 1.65
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 2.05
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T16:49:11-05:00
            [end_at] => 2025-11-29T23:49:11-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01093800
            [high_after] => 0.01100800
            [low_before] => 0.01074300
            [low_after] => 0.01074000
            [is_new_high] => 
            [is_new_low] => 1
        )

)