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Short Trade on PENGU

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Short Trade on PENGU 28 Nov 2025 at 03:12:22

Take profit at 0.01105 (0.81 %) and Stop Loss at 0.01119 (0.45 %)

Short Trade on PENGU

The 28 Nov 2025 at 03:12:22

With 167330.0084 PENGU at 0.01114$ per unit.

Position size of 1864.391 $

Take profit at 0.01105 (0.81 %) and Stop Loss at 0.01119 (0.45 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.01
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.72
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 : bull_low_confirmed
BTC Correlation Score

5m : 0.76438

15m : 0.132322

1H : -0.118669

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 3.187314329E-5
Details
  1. score: 1.31
  2. 1H
  3. ema9 : 0.0111182
  4. ema21 : 0.011224
  5. ema50 : 0.0112578
  6. ema100 : 0.0111507
  7. price_ema9_diff : 0.00213798
  8. ema9_ema21_diff : -0.00942892
  9. ema21_ema50_diff : -0.00300272
  10. price_ema100_diff : -0.000787277
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.272562
  14. ema_slope_21 : -0.162622
  15. ema_slope_50 : -0.0542783
  16. ema_slope_100 : -0.00105682
  17. rsi : 0.444749
  18. adx : 0.223269
  19. kc_percentage : 0.352178
  20. kc_width_percentage : 0.0463307
  21. volume_ema_diff : -0.195808
  22. volume_ema1 : 299657.21309439
  23. volume_ema2 : 372619.17131945
  24. chop : 45.1696
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0110473
  28. ema21 : 0.0110692
  29. ema50 : 0.0111695
  30. ema100 : 0.011282
  31. price_ema9_diff : 0.0085707
  32. ema9_ema21_diff : -0.00198161
  33. ema21_ema50_diff : -0.00897523
  34. price_ema100_diff : -0.0124136
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0220635
  38. ema_slope_21 : -0.0464105
  39. ema_slope_50 : -0.059443
  40. ema_slope_100 : -0.0483978
  41. rsi : 0.561477
  42. adx : 0.389046
  43. kc_percentage : 0.819794
  44. kc_width_percentage : 0.0213055
  45. volume_ema_diff : -0.096279
  46. volume_ema1 : 88450.572463013
  47. volume_ema2 : 97873.770139552
  48. chop : 60.5713
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.011043
  52. ema21 : 0.0110326
  53. ema50 : 0.0110462
  54. ema100 : 0.0110902
  55. price_ema9_diff : 0.00895644
  56. ema9_ema21_diff : 0.000947714
  57. ema21_ema50_diff : -0.00122821
  58. price_ema100_diff : 0.00466655
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0152764
  62. ema_slope_21 : 0.00100268
  63. ema_slope_50 : -0.00774499
  64. ema_slope_100 : -0.0125854
  65. rsi : 0.699518
  66. adx : 0.155527
  67. kc_percentage : 1.30671
  68. kc_width_percentage : 0.0121605
  69. volume_ema_diff : 0.12269
  70. volume_ema1 : 35577.00046091
  71. volume_ema2 : 31689.04212117
  72. chop : 32.1683
  73. regime : bull_low_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91218.8
  77. 5m_price_ema100_diff: 
    -0.000698213
  78. 5m_price: 
    91155.2
  79. 5m_correlation_with_coin: 
    0.76438
  80. btc_indicators
  81. 15m_ema100: 
    91261.2
  82. 15m_price_ema100_diff: 
    -0.00116247
  83. 15m_price: 
    91155.2
  84. 15m_correlation_with_coin: 
    0.132322
  85. btc_indicators
  86. 1H_ema100: 
    89401.1
  87. 1H_price_ema100_diff: 
    0.0196204
  88. 1H_price: 
    91155.2
  89. 1H_correlation_with_coin: 
    -0.118669
    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] => 2025-11-25 08:00:00
                    [1] => 0.011567
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-25 14:00:00
                    [1] => 0.010855
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-25 18:00:00
                    [1] => 0.01147
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-26 10:00:00
                    [1] => 0.010708
                    [2] => L
                )

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

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 0.011177
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.10736333542095
            [ms_dist_from_last_low_pct] => 1.9448502556611
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 2.054419284149
            [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] => 2025-11-27 07:45:00
                    [1] => 0.011099
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-27 11:30:00
                    [1] => 0.01162
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-27 12:30:00
                    [1] => 0.011471
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-27 14:15:00
                    [1] => 0.0116
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-27 16:15:00
                    [1] => 0.011604
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-27 18:30:00
                    [1] => 0.011241
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-27 21:30:00
                    [1] => 0.010952
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-27 23:15:00
                    [1] => 0.011123
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-28 02:45:00
                    [1] => 0.010983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 0.011177
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.10736333542095
            [ms_dist_from_last_low_pct] => 1.6571064372212
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 1.7663662023127
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-11-27 23:00:00
                    [1] => 0.011039
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-27 23:15:00
                    [1] => 0.011123
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-28 00:00:00
                    [1] => 0.011017
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-28 00:30:00
                    [1] => 0.011001
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-28 00:50:00
                    [1] => 0.011111
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-28 01:35:00
                    [1] => 0.010984
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-28 01:50:00
                    [1] => 0.011042
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-28 02:25:00
                    [1] => 0.011061
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-28 02:50:00
                    [1] => 0.010983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-28 03:10:00
                    [1] => 0.011177
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.10736333542095
            [ms_dist_from_last_low_pct] => 1.6571064372212
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.7663662023127
            [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
-0.11%
Dist From Last Low Pct
1.66%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.77%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.12%
TP to Pivot Distance
0.0001
0.61%
DateTime Price Type
2025-11-27 23:00:00 0.011039 ↓ Low
2025-11-27 23:15:00 0.011123 ↑ High
2025-11-28 00:00:00 0.011017 ↓ Low
2025-11-28 00:30:00 0.011001 ↓ Low
2025-11-28 00:50:00 0.011111 ↑ High
2025-11-28 01:35:00 0.010984 ↓ Low
2025-11-28 01:50:00 0.011042 ↑ High
2025-11-28 02:25:00 0.011061 ↑ High
2025-11-28 02:50:00 0.010983 ↓ Low
2025-11-28 03:10:00 0.011177 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.11%
Dist From Last Low Pct
1.66%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
1.77%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
3.84%
TP to Pivot Distance
0.0001
0.89%
DateTime Price Type
2025-11-27 07:45:00 0.011099 ↓ Low
2025-11-27 11:30:00 0.01162 ↑ High
2025-11-27 12:30:00 0.011471 ↓ Low
2025-11-27 14:15:00 0.0116 ↑ High
2025-11-27 16:15:00 0.011604 ↑ High
2025-11-27 18:30:00 0.011241 ↓ Low
2025-11-27 21:30:00 0.010952 ↓ Low
2025-11-27 23:15:00 0.011123 ↑ High
2025-11-28 02:45:00 0.010983 ↓ Low
2025-11-28 03:00:00 0.011177 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.11%
Dist From Last Low Pct
1.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
2.05%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0007
6.15%
TP to Pivot Distance
0.0003
3.10%
DateTime Price Type
2025-11-25 08:00:00 0.011567 ↑ High
2025-11-25 14:00:00 0.010855 ↓ Low
2025-11-25 18:00:00 0.01147 ↑ High
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 03:00:00 0.011177 ↑ High

📌 Time Data

Start at Closed at Duration
28 Nov 2025
03:12:22		 28 Nov 2025
03:20:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01114 0.01119 0.01105 1.8 0.006896
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 0.01114
  • Stop Loss: 0.01119
  • Take Profit: 0.01105

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01119 - 0.01114 = 5.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01114 - 0.01105 = 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
1864.391 100 167330.0084 18.64
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 0.01114 = 1782.4

Donc, tu peux acheter 160000 avec un stoploss a 0.01119

Avec un position size USD de 1782.4$

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 1782.4
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.81 % 15.06 $
SL % Target SL $ Target
0.45 % 8.37 $
PNL PNL %
-8.37 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9066 % 202.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01105
            [entry_price] => 0.01114
            [stop_loss] => 0.011195
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-28 03:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01105
            [entry_price] => 0.01114
            [stop_loss] => 0.0112
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-28 03:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01105
            [entry_price] => 0.01114
            [stop_loss] => 0.011205
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-28 03:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01105
            [entry_price] => 0.01114
            [stop_loss] => 0.011215
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-28 03:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.0000000000013E-6
            [max_drawdown] => 0.00046
            [rr_ratio] => 0.01
            [high] => 0.01160000
            [low] => 0.01113700
            [mfe_pct] => 0.03
            [mae_pct] => 4.13
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 24
            [start_at] => 2025-11-28T03:12:22-05:00
            [end_at] => 2025-11-28T05:12:22-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.0000000000013E-6
            [max_drawdown] => 0.000787
            [rr_ratio] => 0
            [high] => 0.01192700
            [low] => 0.01113700
            [mfe_pct] => 0.03
            [mae_pct] => 7.06
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-11-28T03:12:22-05:00
            [end_at] => 2025-11-28T10:12:22-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01117700
            [high_after] => 0.01179900
            [low_before] => 0.01098300
            [low_after] => 0.01113700
            [is_new_high] => 
            [is_new_low] => 
        )

)