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Short Trade on PENGU

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Short Trade on PENGU 28 Oct 2025 at 02:56:14

Take profit at 0.0211 (0.89 %) and Stop Loss at 0.02138 (0.42 %)

Short Trade on PENGU

The 28 Oct 2025 at 02:56:14

With 85008.9658 PENGU at 0.02129$ per unit.

Position size of 1809.6709 $

Take profit at 0.0211 (0.89 %) and Stop Loss at 0.02138 (0.42 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.86
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
2 0.44
Prediction 3 Probability
1 0.66
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 : range_low
BTC Correlation Score

5m : 0.863196

15m : 0.177847

1H : -0.125337

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 6.273848039E-5
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.0213032
  4. ema21 : 0.0215687
  5. ema50 : 0.0216743
  6. ema100 : 0.0214611
  7. price_ema9_diff : -0.000718061
  8. ema9_ema21_diff : -0.012309
  9. ema21_ema50_diff : -0.00486933
  10. price_ema100_diff : -0.00806822
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.309782
  14. ema_slope_21 : -0.212558
  15. ema_slope_50 : -0.0784711
  16. ema_slope_100 : -0.0113085
  17. rsi : 0.426851
  18. adx : 0.247595
  19. kc_percentage : 0.295615
  20. kc_width_percentage : 0.0609925
  21. volume_ema_diff : -0.367194
  22. volume_ema1 : 385713.6561839
  23. volume_ema2 : 609529.80343475
  24. chop : 42.167
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0211184
  28. ema21 : 0.0211825
  29. ema50 : 0.0214022
  30. ema100 : 0.0217046
  31. price_ema9_diff : 0.00802829
  32. ema9_ema21_diff : -0.00302766
  33. ema21_ema50_diff : -0.010262
  34. price_ema100_diff : -0.0191974
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.038111
  38. ema_slope_21 : -0.0598539
  39. ema_slope_50 : -0.0686016
  40. ema_slope_100 : -0.0609195
  41. rsi : 0.489736
  42. adx : 0.333936
  43. kc_percentage : 0.739972
  44. kc_width_percentage : 0.022013
  45. volume_ema_diff : -0.533149
  46. volume_ema1 : 57915.059714361
  47. volume_ema2 : 124054.86170654
  48. chop : 65.5402
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0211703
  52. ema21 : 0.021127
  53. ema50 : 0.0211531
  54. ema100 : 0.0212116
  55. price_ema9_diff : 0.00555668
  56. ema9_ema21_diff : 0.00204838
  57. ema21_ema50_diff : -0.00123421
  58. price_ema100_diff : 0.00359942
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0463256
  62. ema_slope_21 : 0.00710369
  63. ema_slope_50 : -0.00918326
  64. ema_slope_100 : -0.0110237
  65. rsi : 0.67724
  66. adx : 0.279881
  67. kc_percentage : 1.15411
  68. kc_width_percentage : 0.0115034
  69. volume_ema_diff : 0.239266
  70. volume_ema1 : 39459.702875955
  71. volume_ema2 : 31841.169877883
  72. chop : 33.6
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113952
  77. 5m_price_ema100_diff: 
    0.00116283
  78. 5m_price: 
    114084
  79. 5m_correlation_with_coin: 
    0.863196
  80. btc_indicators
  81. 15m_ema100: 
    114552
  82. 15m_price_ema100_diff: 
    -0.0046672
  83. 15m_price: 
    114017
  84. 15m_correlation_with_coin: 
    0.177847
  85. btc_indicators
  86. 1H_ema100: 
    113055
  87. 1H_price_ema100_diff: 
    0.00909973
  88. 1H_price: 
    114084
  89. 1H_correlation_with_coin: 
    -0.125337
    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] => 2025-10-24 22:00:00
                    [1] => 0.021299
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-25 03:00:00
                    [1] => 0.020733
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-25 14:00:00
                    [1] => 0.021787
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-25 23:00:00
                    [1] => 0.02069
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-26 08:00:00
                    [1] => 0.022326
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-26 17:00:00
                    [1] => 0.021644
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-27 01:00:00
                    [1] => 0.023284
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-27 09:00:00
                    [1] => 0.02154
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-27 14:00:00
                    [1] => 0.022517
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 0.020912
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -5.3781587245193
            [ms_dist_from_last_low_pct] => 1.8840856924254
            [ms_bars_since_swing_high] => 12
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 7.6750191277735
            [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] => 2025-10-27 09:45:00
                    [1] => 0.022026
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-27 14:00:00
                    [1] => 0.022517
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 17:45:00
                    [1] => 0.021789
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-27 19:15:00
                    [1] => 0.021188
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-27 20:45:00
                    [1] => 0.021206
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-27 21:45:00
                    [1] => 0.021545
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-27 22:45:00
                    [1] => 0.021002
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-28 00:45:00
                    [1] => 0.021264
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.020912
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-28 02:45:00
                    [1] => 0.021322
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.075039864928253
            [ms_dist_from_last_low_pct] => 1.8840856924254
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.9605967865341
            [ms_bos_up] => 1
            [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] => 2025-10-27 20:45:00
                    [1] => 0.021206
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-27 21:10:00
                    [1] => 0.021489
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 21:30:00
                    [1] => 0.021324
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-27 21:50:00
                    [1] => 0.021545
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-27 22:50:00
                    [1] => 0.021002
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-27 23:55:00
                    [1] => 0.02106
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-28 00:15:00
                    [1] => 0.021225
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-28 00:55:00
                    [1] => 0.021264
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.020912
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-28 02:50:00
                    [1] => 0.021322
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.075039864928253
            [ms_dist_from_last_low_pct] => 1.8840856924254
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 1.9605967865341
            [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
-0.08%
Dist From Last Low Pct
1.88%
Bars Since Swing High
1 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
1.96%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
0.77%
TP to Pivot Distance
0.0002
0.89%
DateTime Price Type
2025-10-27 20:45:00 0.021206 ↓ Low
2025-10-27 21:10:00 0.021489 ↑ High
2025-10-27 21:30:00 0.021324 ↓ Low
2025-10-27 21:50:00 0.021545 ↑ High
2025-10-27 22:50:00 0.021002 ↓ Low
2025-10-27 23:55:00 0.02106 ↓ Low
2025-10-28 00:15:00 0.021225 ↑ High
2025-10-28 00:55:00 0.021264 ↑ High
2025-10-28 01:45:00 0.020912 ↓ Low
2025-10-28 02:50:00 0.021322 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.08%
Dist From Last Low Pct
1.88%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.96%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0011
5.32%
TP to Pivot Distance
0.0002
0.89%
DateTime Price Type
2025-10-27 09:45:00 0.022026 ↑ High
2025-10-27 14:00:00 0.022517 ↑ High
2025-10-27 17:45:00 0.021789 ↑ High
2025-10-27 19:15:00 0.021188 ↓ Low
2025-10-27 20:45:00 0.021206 ↓ Low
2025-10-27 21:45:00 0.021545 ↑ High
2025-10-27 22:45:00 0.021002 ↓ Low
2025-10-28 00:45:00 0.021264 ↑ High
2025-10-28 01:45:00 0.020912 ↓ Low
2025-10-28 02:45:00 0.021322 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-5.38%
Dist From Last Low Pct
1.88%
Bars Since Swing High
12 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
7.68%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0019
8.91%
TP to Pivot Distance
0.0004
1.94%
DateTime Price Type
2025-10-24 22:00:00 0.021299 ↑ High
2025-10-25 03:00:00 0.020733 ↓ Low
2025-10-25 14:00:00 0.021787 ↑ High
2025-10-25 23:00:00 0.02069 ↓ Low
2025-10-26 08:00:00 0.022326 ↑ High
2025-10-26 17:00:00 0.021644 ↓ Low
2025-10-27 01:00:00 0.023284 ↑ High
2025-10-27 09:00:00 0.02154 ↓ Low
2025-10-27 14:00:00 0.022517 ↑ High
2025-10-28 01:00:00 0.020912 ↓ Low

📌 Time Data

Start at Closed at Duration
28 Oct 2025
02:56:14		 28 Oct 2025
03:00:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02129 0.02138 0.0211 2.11 0.006871
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 0.02129
  • Stop Loss: 0.02138
  • Take Profit: 0.0211

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02138 - 0.02129 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02129 - 0.0211 = 0.00019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019 / 9.0E-5 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
1809.6709 100 85008.9658 18.10
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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.02129 = 1892.44

Donc, tu peux acheter 88888.89 avec un stoploss a 0.02138

Avec un position size USD de 1892.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1892.44
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
0.89 % 16.15 $
SL % Target SL $ Target
0.42 % 7.65 $
PNL PNL %
-7.65 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5449 % 128.91 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0211
            [entry_price] => 0.02129
            [stop_loss] => 0.021389
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0211
            [entry_price] => 0.02129
            [stop_loss] => 0.021398
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0211
            [entry_price] => 0.02129
            [stop_loss] => 0.021407
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0211
            [entry_price] => 0.02129
            [stop_loss] => 0.021425
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000172
            [max_drawdown] => 0.000185
            [rr_ratio] => 0.93
            [high] => 0.02147500
            [low] => 0.02111800
            [mfe_pct] => 0.81
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 24
            [start_at] => 2025-10-28T02:56:14-04:00
            [end_at] => 2025-10-28T04:56:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000172
            [max_drawdown] => 0.000874
            [rr_ratio] => 0.2
            [high] => 0.02216400
            [low] => 0.02111800
            [mfe_pct] => 0.81
            [mae_pct] => 4.11
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-10-28T02:56:14-04:00
            [end_at] => 2025-10-28T09:56:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02132200
            [high_after] => 0.02180700
            [low_before] => 0.02091200
            [low_after] => 0.02111800
            [is_new_high] => 
            [is_new_low] => 
        )

)