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Short Trade on PENGU

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Short Trade on PENGU 28 Oct 2025 at 02:51:06

Take profit at 0.02105 (0.85 %) and Stop Loss at 0.02132 (0.42 %)

Short Trade on PENGU

The 28 Oct 2025 at 02:51:06

With 88948.7579 PENGU at 0.02123$ per unit.

Position size of 1888.2042 $

Take profit at 0.02105 (0.85 %) and Stop Loss at 0.02132 (0.42 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.58
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 : 0.860512

15m : -0.144912

1H : -0.048567

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 5.995961559E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.0212912
  4. ema21 : 0.0215633
  5. ema50 : 0.0216719
  6. ema100 : 0.0214599
  7. price_ema9_diff : -0.0029729
  8. ema9_ema21_diff : -0.0126156
  9. ema21_ema50_diff : -0.00501297
  10. price_ema100_diff : -0.0108092
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.314301
  14. ema_slope_21 : -0.214612
  15. ema_slope_50 : -0.0793673
  16. ema_slope_100 : -0.0117692
  17. rsi : 0.413159
  18. adx : 0.251953
  19. kc_percentage : 0.247186
  20. kc_width_percentage : 0.0595632
  21. volume_ema_diff : -0.423109
  22. volume_ema1 : 349150.29812824
  23. volume_ema2 : 605228.23189879
  24. chop : 42.1199
  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 : 0.00518717
  32. ema9_ema21_diff : -0.00302766
  33. ema21_ema50_diff : -0.010262
  34. price_ema100_diff : -0.0219618
  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 : 0.611935
  44. kc_width_percentage : 0.0220752
  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 : 0.0211259
  52. ema21 : 0.0211041
  53. ema50 : 0.021146
  54. ema100 : 0.0212182
  55. price_ema9_diff : 0.00483037
  56. ema9_ema21_diff : 0.0010316
  57. ema21_ema50_diff : -0.00198153
  58. price_ema100_diff : 0.000457768
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0197881
  62. ema_slope_21 : -0.00770713
  63. ema_slope_50 : -0.0162506
  64. ema_slope_100 : -0.0154207
  65. rsi : 0.646686
  66. adx : 0.261514
  67. kc_percentage : 1.0418
  68. kc_width_percentage : 0.0107974
  69. volume_ema_diff : -0.265098
  70. volume_ema1 : 21332.201641599
  71. volume_ema2 : 29027.295103825
  72. chop : 39.0537
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113956
  77. 5m_price_ema100_diff: 
    0.000540033
  78. 5m_price: 
    114017
  79. 5m_correlation_with_coin: 
    0.860512
  80. btc_indicators
  81. 15m_ema100: 
    114552
  82. 15m_price_ema100_diff: 
    -0.0046672
  83. 15m_price: 
    114017
  84. 15m_correlation_with_coin: 
    -0.144912
  85. btc_indicators
  86. 1H_ema100: 
    113054
  87. 1H_price_ema100_diff: 
    0.00852154
  88. 1H_price: 
    114017
  89. 1H_correlation_with_coin: 
    -0.048567
    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] => -5.3914819913843
            [ms_dist_from_last_low_pct] => 1.86973986228
            [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] => -0.089109839602296
            [ms_dist_from_last_low_pct] => 1.86973986228
            [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] => -0.089109839602296
            [ms_dist_from_last_low_pct] => 1.86973986228
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [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
-0.09%
Dist From Last Low Pct
1.87%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 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
1.06%
TP to Pivot Distance
0.0001
0.66%
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
-0.09%
Dist From Last Low Pct
1.87%
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
0.0012
5.61%
TP to Pivot Distance
0.0001
0.66%
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
-5.39%
Dist From Last Low Pct
1.87%
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
0.0020
9.21%
TP to Pivot Distance
0.0004
1.71%
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
02:51:06		 28 Oct 2025
03:00:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02123 0.02132 0.02105 2 0.006338
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 0.02123
  • Stop Loss: 0.02132
  • Take Profit: 0.02105

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02132 - 0.02123 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02123 - 0.02105 = 0.00018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00018 / 9.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1888.2042 100 88948.7579 18.88
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 0.02123 = 1887.11

Donc, tu peux acheter 88888.89 avec un stoploss a 0.02132

Avec un position size USD de 1887.11$

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 0.00018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1887.11
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.85 % 16.01 $
SL % Target SL $ Target
0.42 % 8.01 $
PNL PNL %
-8 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.829 % 195.56 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02105
            [entry_price] => 0.02123
            [stop_loss] => 0.021329
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02105
            [entry_price] => 0.02123
            [stop_loss] => 0.021338
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02105
            [entry_price] => 0.02123
            [stop_loss] => 0.021347
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02105
            [entry_price] => 0.02123
            [stop_loss] => 0.021365
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-28 03:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000112
            [max_drawdown] => 0.000245
            [rr_ratio] => 0.46
            [high] => 0.02147500
            [low] => 0.02111800
            [mfe_pct] => 0.53
            [mae_pct] => 1.15
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 24
            [start_at] => 2025-10-28T02:51:06-04:00
            [end_at] => 2025-10-28T04:51:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000112
            [max_drawdown] => 0.000934
            [rr_ratio] => 0.12
            [high] => 0.02216400
            [low] => 0.02111800
            [mfe_pct] => 0.53
            [mae_pct] => 4.4
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 84
            [start_at] => 2025-10-28T02:51:06-04:00
            [end_at] => 2025-10-28T09:51:06-04:00
        )

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

)