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Short Trade on PENGU

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Short Trade on PENGU 31 Oct 2025 at 23:04:35

Take profit at 0.0181 (1.04 %) and Stop Loss at 0.01838 (0.49 %)

Short Trade on PENGU

The 31 Oct 2025 at 23:04:35

With 84049.0373 PENGU at 0.01829$ per unit.

Position size of 1537.1728 $

Take profit at 0.0181 (1.04 %) and Stop Loss at 0.01838 (0.49 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.48
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.6
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_confirmed
BTC Correlation Score

5m : 0.757586

15m : 0.00022

1H : 0.172146

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 6.345501992E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0182079
  4. ema21 : 0.0183541
  5. ema50 : 0.0189222
  6. ema100 : 0.0196289
  7. price_ema9_diff : 0.00445373
  8. ema9_ema21_diff : -0.007966
  9. ema21_ema50_diff : -0.0300248
  10. price_ema100_diff : -0.068262
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.217867
  14. ema_slope_21 : -0.211768
  15. ema_slope_50 : -0.215147
  16. ema_slope_100 : -0.172427
  17. rsi : 0.463227
  18. adx : 0.254918
  19. kc_percentage : 0.46133
  20. kc_width_percentage : 0.0683314
  21. volume_ema_diff : -0.583078
  22. volume_ema1 : 248187.88199503
  23. volume_ema2 : 595287.29145586
  24. chop : 49.4472
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0181794
  28. ema21 : 0.0181597
  29. ema50 : 0.0182226
  30. ema100 : 0.0183763
  31. price_ema9_diff : 0.00602369
  32. ema9_ema21_diff : 0.00108447
  33. ema21_ema50_diff : -0.003448
  34. price_ema100_diff : -0.00475186
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0229746
  38. ema_slope_21 : 0.00968742
  39. ema_slope_50 : -0.0162446
  40. ema_slope_100 : -0.0261246
  41. rsi : 0.571231
  42. adx : 0.116196
  43. kc_percentage : 0.769478
  44. kc_width_percentage : 0.0261799
  45. volume_ema_diff : -0.135394
  46. volume_ema1 : 85643.105239852
  47. volume_ema2 : 99054.527292147
  48. chop : 57.4379
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0181889
  52. ema21 : 0.0181527
  53. ema50 : 0.0181351
  54. ema100 : 0.0180874
  55. price_ema9_diff : 0.00550263
  56. ema9_ema21_diff : 0.00199219
  57. ema21_ema50_diff : 0.000971102
  58. price_ema100_diff : 0.0111426
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0283047
  62. ema_slope_21 : 0.00115764
  63. ema_slope_50 : -0.00017203
  64. ema_slope_100 : 0.00498982
  65. rsi : 0.638577
  66. adx : 0.198845
  67. kc_percentage : 1.02917
  68. kc_width_percentage : 0.0139619
  69. volume_ema_diff : 0.559367
  70. volume_ema1 : 45635.318655498
  71. volume_ema2 : 29265.279632968
  72. chop : 30.7618
  73. regime : bull_low_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109579
  77. 5m_price_ema100_diff: 
    0.00195871
  78. 5m_price: 
    109794
  79. 5m_correlation_with_coin: 
    0.757586
  80. btc_indicators
  81. 15m_ema100: 
    109606
  82. 15m_price_ema100_diff: 
    0.00171456
  83. 15m_price: 
    109794
  84. 15m_correlation_with_coin: 
    0.00022
  85. btc_indicators
  86. 1H_ema100: 
    110759
  87. 1H_price_ema100_diff: 
    -0.00871294
  88. 1H_price: 
    109794
  89. 1H_correlation_with_coin: 
    0.172146
    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] => 2025-10-28 17:00:00
                    [1] => 0.020134
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.020253
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 17:00:00
                    [1] => 0.022124
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.019869
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 0.017774
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.019124
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 08:00:00
                    [1] => 0.01901
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 13:00:00
                    [1] => 0.017542
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:00:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.018309
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.1529302528811
            [ms_dist_from_last_low_pct] => 2.0999720748394
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.2563529740296
            [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] => 2025-10-31 09:30:00
                    [1] => 0.018417
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 11:15:00
                    [1] => 0.018931
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 13:15:00
                    [1] => 0.017542
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 15:45:00
                    [1] => 0.018458
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 17:00:00
                    [1] => 0.017969
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 18:30:00
                    [1] => 0.018236
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 20:30:00
                    [1] => 0.017978
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 21:30:00
                    [1] => 0.018308
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:00:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.018309
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.1529302528811
            [ms_dist_from_last_low_pct] => 2.0999720748394
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.2563529740296
            [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] => 2025-10-31 17:10:00
                    [1] => 0.017969
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 17:35:00
                    [1] => 0.018129
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 18:00:00
                    [1] => 0.018019
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 18:35:00
                    [1] => 0.018236
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 19:15:00
                    [1] => 0.018149
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 19:40:00
                    [1] => 0.018217
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 20:30:00
                    [1] => 0.017978
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 21:30:00
                    [1] => 0.018308
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-31 22:05:00
                    [1] => 0.017905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.018309
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.1529302528811
            [ms_dist_from_last_low_pct] => 2.0999720748394
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 2.2563529740296
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.15%
Dist From Last Low Pct
2.10%
Bars Since Swing High
0 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
2.26%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.39%
TP to Pivot Distance
0.0002
1.08%
DateTime Price Type
2025-10-31 17:10:00 0.017969 ↓ Low
2025-10-31 17:35:00 0.018129 ↑ High
2025-10-31 18:00:00 0.018019 ↓ Low
2025-10-31 18:35:00 0.018236 ↑ High
2025-10-31 19:15:00 0.018149 ↓ Low
2025-10-31 19:40:00 0.018217 ↑ High
2025-10-31 20:30:00 0.017978 ↓ Low
2025-10-31 21:30:00 0.018308 ↑ High
2025-10-31 22:05:00 0.017905 ↓ Low
2025-10-31 23:00:00 0.018309 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.15%
Dist From Last Low Pct
2.10%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.26%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
3.00%
TP to Pivot Distance
0.0006
3.08%
DateTime Price Type
2025-10-31 09:30:00 0.018417 ↓ Low
2025-10-31 11:15:00 0.018931 ↑ High
2025-10-31 13:15:00 0.017542 ↓ Low
2025-10-31 15:45:00 0.018458 ↑ High
2025-10-31 17:00:00 0.017969 ↓ Low
2025-10-31 18:30:00 0.018236 ↑ High
2025-10-31 20:30:00 0.017978 ↓ Low
2025-10-31 21:30:00 0.018308 ↑ High
2025-10-31 22:00:00 0.017905 ↓ Low
2025-10-31 23:00:00 0.018309 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.15%
Dist From Last Low Pct
2.10%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.26%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
20.37%
TP to Pivot Distance
0.0006
3.08%
DateTime Price Type
2025-10-28 17:00:00 0.020134 ↓ Low
2025-10-29 14:00:00 0.020253 ↓ Low
2025-10-29 17:00:00 0.022124 ↑ High
2025-10-30 00:00:00 0.019869 ↓ Low
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 21:00:00 0.019124 ↑ High
2025-10-31 08:00:00 0.01901 ↑ High
2025-10-31 13:00:00 0.017542 ↓ Low
2025-10-31 22:00:00 0.017905 ↓ Low
2025-10-31 23:00:00 0.018309 ↑ High

📌 Time Data

Start at Closed at Duration
31 Oct 2025
23:04:35		 31 Oct 2025
23:40:00		 35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01829 0.01838 0.0181 2.11 0.006327
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 0.01829
  • Stop Loss: 0.01838
  • Take Profit: 0.0181

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01838 - 0.01829 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01829 - 0.0181 = 0.00019

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1537.1728 100 84049.0373 15.37
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 0.01829 = 1625.78

Donc, tu peux acheter 88888.89 avec un stoploss a 0.01838

Avec un position size USD de 1625.78$

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 1625.78
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
1.04 % 15.97 $
SL % Target SL $ Target
0.49 % 7.56 $
PNL PNL %
-7.56 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6342 % 128.88 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0181
            [entry_price] => 0.01829
            [stop_loss] => 0.018389
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 23:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0181
            [entry_price] => 0.01829
            [stop_loss] => 0.018398
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-31 23:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0181
            [entry_price] => 0.01829
            [stop_loss] => 0.018407
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-31 23:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0181
            [entry_price] => 0.01829
            [stop_loss] => 0.018425
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-31 23:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000156
            [max_drawdown] => 0.000213
            [rr_ratio] => 0.73
            [high] => 0.01850300
            [low] => 0.01813400
            [mfe_pct] => 0.85
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T23:04:35-04:00
            [end_at] => 2025-11-01T01:04:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000317
            [max_drawdown] => 0.000213
            [rr_ratio] => 1.49
            [high] => 0.01850300
            [low] => 0.01797300
            [mfe_pct] => 1.73
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 1.49
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T23:04:35-04:00
            [end_at] => 2025-11-01T06:04:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01830900
            [high_after] => 0.01850300
            [low_before] => 0.01790500
            [low_after] => 0.01797300
            [is_new_high] => 
            [is_new_low] => 
        )

)