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Short Trade on PENGU

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Short Trade on PENGU 09 Nov 2025 at 06:13:50

Take profit at 0.01433 (1.31 %) and Stop Loss at 0.01462 (0.69 %)

Short Trade on PENGU

The 09 Nov 2025 at 06:13:50

With 83333.1335 PENGU at 0.01452$ per unit.

Position size of 1210.0804 $

Take profit at 0.01433 (1.31 %) and Stop Loss at 0.01462 (0.69 %)

That's a 1.9 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.37
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.45
Prediction 3 Probability
0 0.51
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_medium
BTC Correlation Score

5m : 0.598955

15m : -0.028674

1H : -0.091901

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 6.400015345E-5
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.0144034
  4. ema21 : 0.0145396
  5. ema50 : 0.0147514
  6. ema100 : 0.0148086
  7. price_ema9_diff : 0.00816024
  8. ema9_ema21_diff : -0.00936727
  9. ema21_ema50_diff : -0.0143573
  10. price_ema100_diff : -0.0194221
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.21963
  14. ema_slope_21 : -0.221757
  15. ema_slope_50 : -0.138219
  16. ema_slope_100 : -0.0700028
  17. rsi : 0.475383
  18. adx : 0.239715
  19. kc_percentage : 0.493336
  20. kc_width_percentage : 0.0638069
  21. volume_ema_diff : -0.468056
  22. volume_ema1 : 182967.23647712
  23. volume_ema2 : 343959.90565729
  24. chop : 56.4647
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0143627
  28. ema21 : 0.014346
  29. ema50 : 0.0144142
  30. ema100 : 0.0145854
  31. price_ema9_diff : 0.0110199
  32. ema9_ema21_diff : 0.00116216
  33. ema21_ema50_diff : -0.00473368
  34. price_ema100_diff : -0.00441839
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00461476
  38. ema_slope_21 : 0.00417251
  39. ema_slope_50 : -0.0239861
  40. ema_slope_100 : -0.0368903
  41. rsi : 0.602516
  42. adx : 0.199347
  43. kc_percentage : 0.904932
  44. kc_width_percentage : 0.029791
  45. volume_ema_diff : 0.259452
  46. volume_ema1 : 74854.415753793
  47. volume_ema2 : 59434.072071022
  48. chop : 47.4638
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0144216
  52. ema21 : 0.0143633
  53. ema50 : 0.0143351
  54. ema100 : 0.0143001
  55. price_ema9_diff : 0.00688896
  56. ema9_ema21_diff : 0.00406039
  57. ema21_ema50_diff : 0.00196306
  58. price_ema100_diff : 0.0154427
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0995453
  62. ema_slope_21 : 0.0332639
  63. ema_slope_50 : 0.011921
  64. ema_slope_100 : 0.00954675
  65. rsi : 0.673617
  66. adx : 0.255781
  67. kc_percentage : 1.09085
  68. kc_width_percentage : 0.018137
  69. volume_ema_diff : 0.334537
  70. volume_ema1 : 28149.712755967
  71. volume_ema2 : 21093.23988614
  72. chop : 27.496
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    101777
  77. 5m_price_ema100_diff: 
    0.00292993
  78. 5m_price: 
    102075
  79. 5m_correlation_with_coin: 
    0.598955
  80. btc_indicators
  81. 15m_ema100: 
    101963
  82. 15m_price_ema100_diff: 
    0.0011037
  83. 15m_price: 
    102075
  84. 15m_correlation_with_coin: 
    -0.028674
  85. btc_indicators
  86. 1H_ema100: 
    102046
  87. 1H_price_ema100_diff: 
    0.000287244
  88. 1H_price: 
    102075
  89. 1H_correlation_with_coin: 
    -0.091901
    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] => 2025-11-06 11:00:00
                    [1] => 0.014159
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-06 20:00:00
                    [1] => 0.014262
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-07 03:00:00
                    [1] => 0.014928
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-07 09:00:00
                    [1] => 0.013789
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-07 17:00:00
                    [1] => 0.016236
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-08 06:00:00
                    [1] => 0.015485
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-08 10:00:00
                    [1] => 0.014357
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-08 17:00:00
                    [1] => 0.014908
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-08 22:00:00
                    [1] => 0.014063
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-09 06:00:00
                    [1] => 0.014558
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.13051243302651
            [ms_dist_from_last_low_pct] => 3.384768541563
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 3.5198748488943
            [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] => 2025-11-08 06:00:00
                    [1] => 0.015485
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-08 10:30:00
                    [1] => 0.014357
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-08 14:00:00
                    [1] => 0.014801
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-08 14:15:00
                    [1] => 0.014537
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-08 17:45:00
                    [1] => 0.014908
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-08 22:45:00
                    [1] => 0.014063
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-08 23:15:00
                    [1] => 0.014314
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-09 02:45:00
                    [1] => 0.014487
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-09 05:00:00
                    [1] => 0.014153
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-09 06:00:00
                    [1] => 0.014558
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.13051243302651
            [ms_dist_from_last_low_pct] => 2.7273369603618
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.8615841164417
            [ms_bos_up] => 1
            [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] => 2025-11-09 00:00:00
                    [1] => 0.014145
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-09 00:30:00
                    [1] => 0.014258
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-09 00:35:00
                    [1] => 0.01416
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-09 01:40:00
                    [1] => 0.01439
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-09 01:55:00
                    [1] => 0.014199
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-09 02:55:00
                    [1] => 0.014487
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-09 03:45:00
                    [1] => 0.014279
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-09 04:20:00
                    [1] => 0.014479
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-09 05:05:00
                    [1] => 0.014153
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-09 06:05:00
                    [1] => 0.014558
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.13051243302651
            [ms_dist_from_last_low_pct] => 2.7273369603618
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 2.8615841164417
            [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
-0.13%
Dist From Last Low Pct
2.73%
Bars Since Swing High
1 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
2.86%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.42%
TP to Pivot Distance
0.0002
1.29%
DateTime Price Type
2025-11-09 00:00:00 0.014145 ↓ Low
2025-11-09 00:30:00 0.014258 ↑ High
2025-11-09 00:35:00 0.01416 ↓ Low
2025-11-09 01:40:00 0.01439 ↑ High
2025-11-09 01:55:00 0.014199 ↓ Low
2025-11-09 02:55:00 0.014487 ↑ High
2025-11-09 03:45:00 0.014279 ↓ Low
2025-11-09 04:20:00 0.014479 ↑ High
2025-11-09 05:05:00 0.014153 ↓ Low
2025-11-09 06:05:00 0.014558 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
2.73%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.86%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
5.92%
TP to Pivot Distance
0.0003
1.86%
DateTime Price Type
2025-11-08 06:00:00 0.015485 ↑ High
2025-11-08 10:30:00 0.014357 ↓ Low
2025-11-08 14:00:00 0.014801 ↑ High
2025-11-08 14:15:00 0.014537 ↓ Low
2025-11-08 17:45:00 0.014908 ↑ High
2025-11-08 22:45:00 0.014063 ↓ Low
2025-11-08 23:15:00 0.014314 ↑ High
2025-11-09 02:45:00 0.014487 ↑ High
2025-11-09 05:00:00 0.014153 ↓ Low
2025-11-09 06:00:00 0.014558 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
3.38%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
3.52%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0016
11.05%
TP to Pivot Distance
0.0005
3.78%
DateTime Price Type
2025-11-06 11:00:00 0.014159 ↓ Low
2025-11-06 20:00:00 0.014262 ↓ Low
2025-11-07 03:00:00 0.014928 ↑ High
2025-11-07 09:00:00 0.013789 ↓ Low
2025-11-07 17:00:00 0.016236 ↑ High
2025-11-08 06:00:00 0.015485 ↑ High
2025-11-08 10:00:00 0.014357 ↓ Low
2025-11-08 17:00:00 0.014908 ↑ High
2025-11-08 22:00:00 0.014063 ↓ Low
2025-11-09 06:00:00 0.014558 ↑ High

📌 Time Data

Start at Closed at Duration
09 Nov 2025
06:13:50		 09 Nov 2025
07:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01452 0.01462 0.01433 1.9 0.006765
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 0.01452
  • Stop Loss: 0.01462
  • Take Profit: 0.01433

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01462 - 0.01452 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01452 - 0.01433 = 0.00019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019 / 9.9999999999999E-5 = 1.9

📌 Position Size

Amount Margin Quantity Leverage
1210.0804 100 83333.1335 12.10
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01452 = 1161.6

Donc, tu peux acheter 80000 avec un stoploss a 0.01462

Avec un position size USD de 1161.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00019 = 15.2

Si Take Profit atteint, tu gagneras 15.2$

Résumé

  • Taille de position 80000
  • Taille de position USD 1161.6
  • Perte potentielle 8
  • Gain potentiel 15.2
  • Risk-Reward Ratio 1.9

📌 Peformances

TP % Target TP $ Target
1.31 % 15.83 $
SL % Target SL $ Target
0.69 % 8.33 $
PNL PNL %
-8.33 $ -0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9573 % 139 % 11

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01433
            [entry_price] => 0.01452
            [stop_loss] => 0.01463
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-09 07:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01433
            [entry_price] => 0.01452
            [stop_loss] => 0.01464
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-09 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01433
            [entry_price] => 0.01452
            [stop_loss] => 0.01465
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-09 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01433
            [entry_price] => 0.01452
            [stop_loss] => 0.01467
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-09 08:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 8.0E-5
            [max_drawdown] => 0.000209
            [rr_ratio] => 0.38
            [high] => 0.01472900
            [low] => 0.01444000
            [mfe_pct] => 0.55
            [mae_pct] => 1.44
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-11-09T06:13:50-05:00
            [end_at] => 2025-11-09T08:13:50-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 8.0E-5
            [max_drawdown] => 0.00076
            [rr_ratio] => 0.11
            [high] => 0.01528000
            [low] => 0.01444000
            [mfe_pct] => 0.55
            [mae_pct] => 5.23
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2025-11-09T06:13:50-05:00
            [end_at] => 2025-11-09T13:13:50-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01455800
            [high_after] => 0.01528000
            [low_before] => 0.01415300
            [low_after] => 0.01444000
            [is_new_high] => 
            [is_new_low] => 
        )

)