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Short Trade on PENGU

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Short Trade on PENGU 30 Oct 2025 at 21:01:53

Take profit at 0.01853 (1.17 %) and Stop Loss at 0.01885 (0.53 %)

Short Trade on PENGU

The 30 Oct 2025 at 21:01:53

With 74499.0975 PENGU at 0.01875$ per unit.

Position size of 1396.6346 $

Take profit at 0.01853 (1.17 %) and Stop Loss at 0.01885 (0.53 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.4
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.755435

15m : -0.007924

1H : 0.005052

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 7.158923416E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.0186546
  4. ema21 : 0.0191639
  5. ema50 : 0.0199956
  6. ema100 : 0.0207078
  7. price_ema9_diff : 0.00494919
  8. ema9_ema21_diff : -0.0265754
  9. ema21_ema50_diff : -0.0415928
  10. price_ema100_diff : -0.0946907
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.612921
  14. ema_slope_21 : -0.558898
  15. ema_slope_50 : -0.362283
  16. ema_slope_100 : -0.231822
  17. rsi : 0.394518
  18. adx : 0.413465
  19. kc_percentage : 0.245208
  20. kc_width_percentage : 0.078547
  21. volume_ema_diff : -0.53502
  22. volume_ema1 : 424709.32033436
  23. volume_ema2 : 913393.25741998
  24. chop : 37.9318
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0185881
  28. ema21 : 0.0184949
  29. ema50 : 0.0187638
  30. ema100 : 0.0193477
  31. price_ema9_diff : 0.00854636
  32. ema9_ema21_diff : 0.00503652
  33. ema21_ema50_diff : -0.014327
  34. price_ema100_diff : -0.0310502
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.161422
  38. ema_slope_21 : 0.0692908
  39. ema_slope_50 : -0.0596994
  40. ema_slope_100 : -0.0937643
  41. rsi : 0.620859
  42. adx : 0.258367
  43. kc_percentage : 0.965918
  44. kc_width_percentage : 0.0288156
  45. volume_ema_diff : -0.40685
  46. volume_ema1 : 119162.64293558
  47. volume_ema2 : 200898.1541607
  48. chop : 52.2359
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0186741
  52. ema21 : 0.0185838
  53. ema50 : 0.0184706
  54. ema100 : 0.0184501
  55. price_ema9_diff : 0.00390219
  56. ema9_ema21_diff : 0.00485551
  57. ema21_ema50_diff : 0.00613295
  58. price_ema100_diff : 0.0160904
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0784898
  62. ema_slope_21 : 0.06356
  63. ema_slope_50 : 0.045205
  64. ema_slope_100 : 0.0216228
  65. rsi : 0.686238
  66. adx : 0.339896
  67. kc_percentage : 1.04109
  68. kc_width_percentage : 0.0154867
  69. volume_ema_diff : 0.461197
  70. volume_ema1 : 70179.924110078
  71. volume_ema2 : 48029.046805975
  72. chop : 35.3056
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107844
  77. 5m_price_ema100_diff: 
    0.0133502
  78. 5m_price: 
    109283
  79. 5m_correlation_with_coin: 
    0.755435
  80. btc_indicators
  81. 15m_ema100: 
    108656
  82. 15m_price_ema100_diff: 
    0.00577375
  83. 15m_price: 
    109283
  84. 15m_correlation_with_coin: 
    -0.007924
  85. btc_indicators
  86. 1H_ema100: 
    111680
  87. 1H_price_ema100_diff: 
    -0.0214598
  88. 1H_price: 
    109283
  89. 1H_correlation_with_coin: 
    0.005052
    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] => 2025-10-27 09:00:00
                    [1] => 0.02154
                    [2] => L
                )

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

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

            [3] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.022164
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.020134
                    [2] => L
                )

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.018863
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.047712452950231
            [ms_dist_from_last_low_pct] => 6.0762912118825
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 6.1269269719815
            [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] => 2025-10-29 20:45:00
                    [1] => 0.021426
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.020949
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 0.021311
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.019869
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 03:30:00
                    [1] => 0.02106
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 11:30:00
                    [1] => 0.018604
                    [2] => L
                )

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

            [7] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.018863
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.047712452950231
            [ms_dist_from_last_low_pct] => 6.0762912118825
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 20
            [ms_last_swing_amplitude_pct] => 6.1269269719815
            [ms_bos_up] => 0
            [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] => 2025-10-30 13:45:00
                    [1] => 0.018649
                    [2] => H
                )

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

            [2] => Array
                (
                    [0] => 2025-10-30 16:30:00
                    [1] => 0.017844
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 17:10:00
                    [1] => 0.018388
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 18:20:00
                    [1] => 0.018423
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 19:00:00
                    [1] => 0.018486
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 19:20:00
                    [1] => 0.018365
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 19:55:00
                    [1] => 0.018586
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 20:25:00
                    [1] => 0.018477
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 21:00:00
                    [1] => 0.018863
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.047712452950231
            [ms_dist_from_last_low_pct] => 2.0403745196731
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 2.0890837257131
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.05%
Dist From Last Low Pct
2.04%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
2.09%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.07%
TP to Pivot Distance
0.0008
4.08%
DateTime Price Type
2025-10-30 13:45:00 0.018649 ↑ High
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 16:30:00 0.017844 ↓ Low
2025-10-30 17:10:00 0.018388 ↑ High
2025-10-30 18:20:00 0.018423 ↑ High
2025-10-30 19:00:00 0.018486 ↑ High
2025-10-30 19:20:00 0.018365 ↓ Low
2025-10-30 19:55:00 0.018586 ↑ High
2025-10-30 20:25:00 0.018477 ↓ Low
2025-10-30 21:00:00 0.018863 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.05%
Dist From Last Low Pct
6.08%
Bars Since Swing High
0 bars
Bars Since Swing Low
20 bars
Last Swing Amplitude Pct
6.13%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0026
13.67%
TP to Pivot Distance
0.0008
4.08%
DateTime Price Type
2025-10-29 20:45:00 0.021426 ↑ High
2025-10-29 22:00:00 0.020949 ↓ Low
2025-10-29 22:30:00 0.021311 ↑ High
2025-10-30 00:15:00 0.019869 ↓ Low
2025-10-30 03:30:00 0.02106 ↑ High
2025-10-30 11:30:00 0.018604 ↓ Low
2025-10-30 16:00:00 0.017774 ↓ Low
2025-10-30 21:00:00 0.018863 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.05%
Dist From Last Low Pct
6.08%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
6.13%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
19.45%
TP to Pivot Distance
0.0008
4.08%
DateTime Price Type
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
2025-10-28 09:00:00 0.022164 ↑ High
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 0.018863 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
21:01:53		 30 Oct 2025
21:05:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01875 0.01885 0.01853 2.2 0.007177
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 0.01875
  • Stop Loss: 0.01885
  • Take Profit: 0.01853

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01885 - 0.01875 = 9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01875 - 0.01853 = 0.00022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00022 / 9.9999999999999E-5 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
1396.6346 100 74499.0975 13.97
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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01875 = 1500

Donc, tu peux acheter 80000 avec un stoploss a 0.01885

Avec un position size USD de 1500$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00022 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 80000
  • Taille de position USD 1500
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
1.17 % 16.39 $
SL % Target SL $ Target
0.53 % 7.45 $
PNL PNL %
-7.45 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4773 % 277.01 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01853
            [entry_price] => 0.01875
            [stop_loss] => 0.01886
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01853
            [entry_price] => 0.01875
            [stop_loss] => 0.01887
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01853
            [entry_price] => 0.01875
            [stop_loss] => 0.01888
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01853
            [entry_price] => 0.01875
            [stop_loss] => 0.0189
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.0E-5
            [max_drawdown] => 0.000374
            [rr_ratio] => 0.24
            [high] => 0.01912400
            [low] => 0.01866000
            [mfe_pct] => 0.48
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T21:01:53-04:00
            [end_at] => 2025-10-30T23:01:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000126
            [max_drawdown] => 0.000374
            [rr_ratio] => 0.34
            [high] => 0.01912400
            [low] => 0.01862400
            [mfe_pct] => 0.67
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T21:01:53-04:00
            [end_at] => 2025-10-31T04:01:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01886300
            [high_after] => 0.01912400
            [low_before] => 0.01818700
            [low_after] => 0.01865100
            [is_new_high] => 
            [is_new_low] => 
        )

)