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Short Trade on PENGU

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Short Trade on PENGU 12 Nov 2025 at 01:16:31

Take profit at 0.01475 (1.01 %) and Stop Loss at 0.01497 (0.47 %)

Short Trade on PENGU

The 12 Nov 2025 at 01:16:31

With 106461.9923 PENGU at 0.0149$ per unit.

Position size of 1586.1772 $

Take profit at 0.01475 (1.01 %) and Stop Loss at 0.01497 (0.47 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.86
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.7
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_low
BTC Correlation Score

5m : 0.763785

15m : 0.143179

1H : -0.124823

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 5.009612554E-5
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.0147947
  4. ema21 : 0.0150049
  5. ema50 : 0.0152732
  6. ema100 : 0.0153709
  7. price_ema9_diff : 0.0070459
  8. ema9_ema21_diff : -0.0140108
  9. ema21_ema50_diff : -0.0175664
  10. price_ema100_diff : -0.0307041
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.328175
  14. ema_slope_21 : -0.312489
  15. ema_slope_50 : -0.179853
  16. ema_slope_100 : -0.0938874
  17. rsi : 0.442844
  18. adx : 0.406941
  19. kc_percentage : 0.407965
  20. kc_width_percentage : 0.0645528
  21. volume_ema_diff : -0.654163
  22. volume_ema1 : 139428.61474753
  23. volume_ema2 : 403163.40459571
  24. chop : 54.3702
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0148037
  28. ema21 : 0.014765
  29. ema50 : 0.0148556
  30. ema100 : 0.0150815
  31. price_ema9_diff : 0.00643422
  32. ema9_ema21_diff : 0.00261873
  33. ema21_ema50_diff : -0.00609348
  34. price_ema100_diff : -0.0121051
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0596959
  38. ema_slope_21 : 0.026925
  39. ema_slope_50 : -0.0270716
  40. ema_slope_100 : -0.0459213
  41. rsi : 0.602046
  42. adx : 0.242481
  43. kc_percentage : 0.853431
  44. kc_width_percentage : 0.0253333
  45. volume_ema_diff : -0.608342
  46. volume_ema1 : 25918.14008977
  47. volume_ema2 : 66175.485011742
  48. chop : 65.3009
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0148264
  52. ema21 : 0.0147842
  53. ema50 : 0.014743
  54. ema100 : 0.0147064
  55. price_ema9_diff : 0.00489538
  56. ema9_ema21_diff : 0.00285366
  57. ema21_ema50_diff : 0.00279263
  58. price_ema100_diff : 0.0130896
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0683471
  62. ema_slope_21 : 0.0423074
  63. ema_slope_50 : 0.0242256
  64. ema_slope_100 : 0.0159572
  65. rsi : 0.658977
  66. adx : 0.178017
  67. kc_percentage : 1.07065
  68. kc_width_percentage : 0.013223
  69. volume_ema_diff : -0.23894
  70. volume_ema1 : 10604.492019064
  71. volume_ema2 : 13933.846033532
  72. chop : 40.9922
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    103138
  77. 5m_price_ema100_diff: 
    0.00350737
  78. 5m_price: 
    103499
  79. 5m_correlation_with_coin: 
    0.763785
  80. btc_indicators
  81. 15m_ema100: 
    103725
  82. 15m_price_ema100_diff: 
    -0.00217361
  83. 15m_price: 
    103499
  84. 15m_correlation_with_coin: 
    0.143179
  85. btc_indicators
  86. 1H_ema100: 
    103936
  87. 1H_price_ema100_diff: 
    -0.00419665
  88. 1H_price: 
    103499
  89. 1H_correlation_with_coin: 
    -0.124823
    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] => 2025-11-08 17:00:00
                    [1] => 0.014908
                    [2] => H
                )

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

            [2] => Array
                (
                    [0] => 2025-11-09 19:00:00
                    [1] => 0.015102
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-10 00:00:00
                    [1] => 0.016293
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-10 03:00:00
                    [1] => 0.015595
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-10 08:00:00
                    [1] => 0.01647
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-10 11:00:00
                    [1] => 0.015564
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-10 21:00:00
                    [1] => 0.01664
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-11 19:00:00
                    [1] => 0.014476
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-12 01:00:00
                    [1] => 0.01498
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.14018691588785
            [ms_dist_from_last_low_pct] => 3.3365570599613
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 3.4816247582205
            [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] => 2025-11-11 05:00:00
                    [1] => 0.015383
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-11 07:00:00
                    [1] => 0.015767
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-11 09:45:00
                    [1] => 0.015694
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-11 11:45:00
                    [1] => 0.015502
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-11 17:00:00
                    [1] => 0.014517
                    [2] => L
                )

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

            [6] => Array
                (
                    [0] => 2025-11-11 19:45:00
                    [1] => 0.014476
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-11 21:30:00
                    [1] => 0.014549
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-11 23:45:00
                    [1] => 0.014633
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-12 01:15:00
                    [1] => 0.01498
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.14018691588785
            [ms_dist_from_last_low_pct] => 2.2278411808925
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 2.3713524226064
            [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] => 2025-11-11 20:15:00
                    [1] => 0.014701
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-11 21:15:00
                    [1] => 0.01475
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-11 21:30:00
                    [1] => 0.014549
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-11 22:00:00
                    [1] => 0.01477
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-11 22:35:00
                    [1] => 0.014789
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-11 23:05:00
                    [1] => 0.014681
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-11 23:15:00
                    [1] => 0.01481
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-11 23:50:00
                    [1] => 0.014633
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-12 00:25:00
                    [1] => 0.014832
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-12 01:15:00
                    [1] => 0.01498
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.14018691588785
            [ms_dist_from_last_low_pct] => 2.2278411808925
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 0.99784250269688
            [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
-0.14%
Dist From Last Low Pct
2.23%
Bars Since Swing High
0 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
1.00%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.07%
TP to Pivot Distance
0.0002
1.36%
DateTime Price Type
2025-11-11 20:15:00 0.014701 ↑ High
2025-11-11 21:15:00 0.01475 ↑ High
2025-11-11 21:30:00 0.014549 ↓ Low
2025-11-11 22:00:00 0.01477 ↑ High
2025-11-11 22:35:00 0.014789 ↑ High
2025-11-11 23:05:00 0.014681 ↓ Low
2025-11-11 23:15:00 0.01481 ↑ High
2025-11-11 23:50:00 0.014633 ↓ Low
2025-11-12 00:25:00 0.014832 ↑ High
2025-11-12 01:15:00 0.01498 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.14%
Dist From Last Low Pct
2.23%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
2.37%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
5.32%
TP to Pivot Distance
0.0003
1.86%
DateTime Price Type
2025-11-11 05:00:00 0.015383 ↓ Low
2025-11-11 07:00:00 0.015767 ↑ High
2025-11-11 09:45:00 0.015694 ↑ High
2025-11-11 11:45:00 0.015502 ↑ High
2025-11-11 17:00:00 0.014517 ↓ Low
2025-11-11 17:45:00 0.014908 ↑ High
2025-11-11 19:45:00 0.014476 ↓ Low
2025-11-11 21:30:00 0.014549 ↓ Low
2025-11-11 23:45:00 0.014633 ↓ Low
2025-11-12 01:15:00 0.01498 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.14%
Dist From Last Low Pct
3.34%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
3.48%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0017
11.16%
TP to Pivot Distance
0.0007
4.66%
DateTime Price Type
2025-11-08 17:00:00 0.014908 ↑ High
2025-11-08 22:00:00 0.014063 ↓ Low
2025-11-09 19:00:00 0.015102 ↓ Low
2025-11-10 00:00:00 0.016293 ↑ High
2025-11-10 03:00:00 0.015595 ↓ Low
2025-11-10 08:00:00 0.01647 ↑ High
2025-11-10 11:00:00 0.015564 ↓ Low
2025-11-10 21:00:00 0.01664 ↑ High
2025-11-11 19:00:00 0.014476 ↓ Low
2025-11-12 01:00:00 0.01498 ↑ High

📌 Time Data

Start at Closed at Duration
12 Nov 2025
01:16:31		 12 Nov 2025
01:20:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0149 0.01497 0.01475 2.14 0.006906
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 0.0149
  • Stop Loss: 0.01497
  • Take Profit: 0.01475

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01497 - 0.0149 = 7.0000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0149 - 0.01475 = 0.00015

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1586.1772 100 106461.9923 15.86
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 0.0149 = 1702.86

Donc, tu peux acheter 114285.71 avec un stoploss a 0.01497

Avec un position size USD de 1702.86$

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 1702.86
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
1.01 % 15.97 $
SL % Target SL $ Target
0.47 % 7.45 $
PNL PNL %
-7.45 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1544 % 245.72 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01475
            [entry_price] => 0.0149
            [stop_loss] => 0.014977
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-12 01:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01475
            [entry_price] => 0.0149
            [stop_loss] => 0.014984
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-12 01:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01475
            [entry_price] => 0.0149
            [stop_loss] => 0.014991
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-12 01:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01475
            [entry_price] => 0.0149
            [stop_loss] => 0.015005
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-12 01:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000155
            [max_drawdown] => 0.000176
            [rr_ratio] => 0.88
            [high] => 0.01507600
            [low] => 0.01474500
            [mfe_pct] => 1.04
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 0.88
            [candles_analyzed] => 24
            [start_at] => 2025-11-12T01:16:31-05:00
            [end_at] => 2025-11-12T03:16:31-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000155
            [max_drawdown] => 0.000593
            [rr_ratio] => 0.26
            [high] => 0.01549300
            [low] => 0.01474500
            [mfe_pct] => 1.04
            [mae_pct] => 3.98
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-11-12T01:16:31-05:00
            [end_at] => 2025-11-12T08:16:31-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01498000
            [high_after] => 0.01543400
            [low_before] => 0.01454900
            [low_after] => 0.01474500
            [is_new_high] => 
            [is_new_low] => 
        )

)