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Short Trade on PENGU

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Short Trade on PENGU 08 Nov 2025 at 16:40:36

Take profit at 0.01462 (1.02 %) and Stop Loss at 0.01484 (0.47 %)

Short Trade on PENGU

The 08 Nov 2025 at 16:40:36

With 106168.7593 PENGU at 0.01477$ per unit.

Position size of 1567.9002 $

Take profit at 0.01462 (1.02 %) and Stop Loss at 0.01484 (0.47 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.09
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.67
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : -0.093225

15m : -0.003582

1H : -0.05248

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 5.023448864E-5
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.0147655
  4. ema21 : 0.0149557
  5. ema50 : 0.0150056
  6. ema100 : 0.0148916
  7. price_ema9_diff : 0.000167527
  8. ema9_ema21_diff : -0.0127196
  9. ema21_ema50_diff : -0.00332688
  10. price_ema100_diff : -0.00830425
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.348151
  14. ema_slope_21 : -0.223171
  15. ema_slope_50 : -0.0717437
  16. ema_slope_100 : -0.0128272
  17. rsi : 0.4449
  18. adx : 0.2161
  19. kc_percentage : 0.343991
  20. kc_width_percentage : 0.0774124
  21. volume_ema_diff : -0.640069
  22. volume_ema1 : 168414.43471013
  23. volume_ema2 : 467908.33361147
  24. chop : 54.2818
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0146581
  28. ema21 : 0.014673
  29. ema50 : 0.0148508
  30. ema100 : 0.0151389
  31. price_ema9_diff : 0.00749505
  32. ema9_ema21_diff : -0.00101642
  33. ema21_ema50_diff : -0.0119719
  34. price_ema100_diff : -0.0245028
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0176787
  38. ema_slope_21 : -0.0166437
  39. ema_slope_50 : -0.0651591
  40. ema_slope_100 : -0.0706387
  41. rsi : 0.513115
  42. adx : 0.242082
  43. kc_percentage : 0.726408
  44. kc_width_percentage : 0.0294597
  45. volume_ema_diff : -0.731739
  46. volume_ema1 : 19481.722602515
  47. volume_ema2 : 72622.499695169
  48. chop : 74.3032
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0146937
  52. ema21 : 0.0146661
  53. ema50 : 0.0146581
  54. ema100 : 0.0147057
  55. price_ema9_diff : 0.00505148
  56. ema9_ema21_diff : 0.00188159
  57. ema21_ema50_diff : 0.000550738
  58. price_ema100_diff : 0.00423018
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0280074
  62. ema_slope_21 : 0.0120398
  63. ema_slope_50 : 0.00307959
  64. ema_slope_100 : -0.00646161
  65. rsi : 0.650898
  66. adx : 0.157623
  67. kc_percentage : 1.02422
  68. kc_width_percentage : 0.0130077
  69. volume_ema_diff : -0.194615
  70. volume_ema1 : 10874.392399775
  71. volume_ema2 : 13502.110925657
  72. chop : 52.9717
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    101939
  77. 5m_price_ema100_diff: 
    0.00242046
  78. 5m_price: 
    102186
  79. 5m_correlation_with_coin: 
    -0.093225
  80. btc_indicators
  81. 15m_ema100: 
    102368
  82. 15m_price_ema100_diff: 
    -0.00253447
  83. 15m_price: 
    102108
  84. 15m_correlation_with_coin: 
    -0.003582
  85. btc_indicators
  86. 1H_ema100: 
    102047
  87. 1H_price_ema100_diff: 
    0.00136665
  88. 1H_price: 
    102186
  89. 1H_correlation_with_coin: 
    -0.05248
    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] => 2025-11-05 20:00:00
                    [1] => 0.014961
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-05 23:00:00
                    [1] => 0.015402
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-06 08:00:00
                    [1] => 0.015159
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-06 11:00:00
                    [1] => 0.014159
                    [2] => L
                )

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

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

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

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

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

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

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -4.533419438166
            [ms_dist_from_last_low_pct] => 2.9671937034199
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 7.8567945949711
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-11-07 20:00:00
                    [1] => 0.015543
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-07 21:30:00
                    [1] => 0.016229
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-08 03:15:00
                    [1] => 0.015053
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-08 03:30:00
                    [1] => 0.015425
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-08 04:45:00
                    [1] => 0.015111
                    [2] => L
                )

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-11-08 16:30:00
                    [1] => 0.014787
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0270507878542
            [ms_dist_from_last_low_pct] => 1.6922336107863
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 1.7197496044576
            [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] => 2025-11-08 12:05:00
                    [1] => 0.014494
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-08 12:45:00
                    [1] => 0.014704
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-08 13:25:00
                    [1] => 0.014559
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-08 14:10:00
                    [1] => 0.014801
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-08 14:20:00
                    [1] => 0.014537
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-08 15:05:00
                    [1] => 0.01471
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-08 15:10:00
                    [1] => 0.014566
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-08 15:45:00
                    [1] => 0.014726
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-08 16:10:00
                    [1] => 0.014589
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-08 16:40:00
                    [1] => 0.014787
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.0270507878542
            [ms_dist_from_last_low_pct] => 1.3297690040441
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.3571869216533
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.03%
Dist From Last Low Pct
1.33%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.36%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.26%
TP to Pivot Distance
0.0001
0.86%
DateTime Price Type
2025-11-08 12:05:00 0.014494 ↓ Low
2025-11-08 12:45:00 0.014704 ↑ High
2025-11-08 13:25:00 0.014559 ↓ Low
2025-11-08 14:10:00 0.014801 ↑ High
2025-11-08 14:20:00 0.014537 ↓ Low
2025-11-08 15:05:00 0.01471 ↑ High
2025-11-08 15:10:00 0.014566 ↓ Low
2025-11-08 15:45:00 0.014726 ↑ High
2025-11-08 16:10:00 0.014589 ↓ Low
2025-11-08 16:40:00 0.014787 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.03%
Dist From Last Low Pct
1.69%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
1.72%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0014
9.36%
TP to Pivot Distance
0.0003
1.80%
DateTime Price Type
2025-11-07 20:00:00 0.015543 ↓ Low
2025-11-07 21:30:00 0.016229 ↑ High
2025-11-08 03:15:00 0.015053 ↓ Low
2025-11-08 03:30:00 0.015425 ↑ High
2025-11-08 04:45:00 0.015111 ↓ Low
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 16:30:00 0.014787 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-4.53%
Dist From Last Low Pct
2.97%
Bars Since Swing High
10 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
7.86%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0014
9.41%
TP to Pivot Distance
0.0008
5.68%
DateTime Price Type
2025-11-05 20:00:00 0.014961 ↓ Low
2025-11-05 23:00:00 0.015402 ↑ High
2025-11-06 08:00:00 0.015159 ↑ High
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

📌 Time Data

Start at Closed at Duration
08 Nov 2025
16:40:36		 08 Nov 2025
16:50:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01477 0.01484 0.01462 2.14 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 0.01477
  • Stop Loss: 0.01484
  • Take Profit: 0.01462

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01484 - 0.01477 = 7.0000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01477 - 0.01462 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 7.0000000000001E-5 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
1567.9002 100 106168.7593 15.68
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 7.0000000000001E-5

Taille de position = 8 / 7.0000000000001E-5 = 114285.71

Taille de position USD = 114285.71 x 0.01477 = 1688

Donc, tu peux acheter 114285.71 avec un stoploss a 0.01484

Avec un position size USD de 1688$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 114285.71 x 7.0000000000001E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 114285.71 x 0.00015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 114285.71
  • Taille de position USD 1688
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
1.02 % 15.93 $
SL % Target SL $ Target
0.47 % 7.43 $
PNL PNL %
-7.43 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4739 % 100 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01462
            [entry_price] => 0.01477
            [stop_loss] => 0.014847
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-08 17:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01462
            [entry_price] => 0.01477
            [stop_loss] => 0.014854
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-08 17:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01462
            [entry_price] => 0.01477
            [stop_loss] => 0.014861
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-08 17:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01462
            [entry_price] => 0.01477
            [stop_loss] => 0.014875
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-08 17:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.1000000000001E-5
            [max_drawdown] => 0.000138
            [rr_ratio] => 0.08
            [high] => 0.01490800
            [low] => 0.01475900
            [mfe_pct] => 0.07
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-11-08T16:40:36-05:00
            [end_at] => 2025-11-08T18:40:36-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000707
            [max_drawdown] => 0.000138
            [rr_ratio] => 5.12
            [high] => 0.01490800
            [low] => 0.01406300
            [mfe_pct] => 4.79
            [mae_pct] => 0.93
            [mfe_mae_ratio] => 5.12
            [candles_analyzed] => 84
            [start_at] => 2025-11-08T16:40:36-05:00
            [end_at] => 2025-11-08T23:40:36-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01480100
            [high_after] => 0.01490800
            [low_before] => 0.01453700
            [low_after] => 0.01408400
            [is_new_high] => 
            [is_new_low] => 1
        )

)