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Short Trade on PENGU

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Short Trade on PENGU 31 Oct 2025 at 15:39:29

Take profit at 0.0178 (2.25 %) and Stop Loss at 0.01842 (1.15 %)

Short Trade on PENGU

The 31 Oct 2025 at 15:39:29

With 38752.739 PENGU at 0.01821$ per unit.

Position size of 705.8811 $

Take profit at 0.0178 (2.25 %) and Stop Loss at 0.01842 (1.15 %)

That's a 1.95 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.51
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.76
Prediction 2 Probability
1 0.51
Prediction 3 Probability
1 0.7
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.824587

15m : 0.031789

1H : 0.071429

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0001376246807
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.0182621
  4. ema21 : 0.0185496
  5. ema50 : 0.0192262
  6. ema100 : 0.0200392
  7. price_ema9_diff : -0.00258064
  8. ema9_ema21_diff : -0.0154999
  9. ema21_ema50_diff : -0.0351934
  10. price_ema100_diff : -0.0910322
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.211853
  14. ema_slope_21 : -0.198169
  15. ema_slope_50 : -0.217064
  16. ema_slope_100 : -0.179696
  17. rsi : 0.415398
  18. adx : 0.306179
  19. kc_percentage : 0.308733
  20. kc_width_percentage : 0.0892349
  21. volume_ema_diff : -0.167777
  22. volume_ema1 : 598898.30629439
  23. volume_ema2 : 719637.19398413
  24. chop : 45.2322
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0179926
  28. ema21 : 0.0181302
  29. ema50 : 0.0183442
  30. ema100 : 0.0184008
  31. price_ema9_diff : 0.01236
  32. ema9_ema21_diff : -0.00759367
  33. ema21_ema50_diff : -0.0116649
  34. price_ema100_diff : -0.0101011
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.256279
  38. ema_slope_21 : -0.218909
  39. ema_slope_50 : -0.127355
  40. ema_slope_100 : -0.064007
  41. rsi : 0.512282
  42. adx : 0.252122
  43. kc_percentage : 0.598904
  44. kc_width_percentage : 0.0538069
  45. volume_ema_diff : -0.24694
  46. volume_ema1 : 120241.33996464
  47. volume_ema2 : 159670.37103613
  48. chop : 42.9617
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0180143
  52. ema21 : 0.0179387
  53. ema50 : 0.0180545
  54. ema100 : 0.0182342
  55. price_ema9_diff : 0.0111371
  56. ema9_ema21_diff : 0.00421408
  57. ema21_ema50_diff : -0.00641491
  58. price_ema100_diff : -0.00105447
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.114761
  62. ema_slope_21 : 0.0342882
  63. ema_slope_50 : -0.0302184
  64. ema_slope_100 : -0.0364015
  65. rsi : 0.617467
  66. adx : 0.259574
  67. kc_percentage : 1.00235
  68. kc_width_percentage : 0.0301534
  69. volume_ema_diff : -0.0984394
  70. volume_ema1 : 51563.58971962
  71. volume_ema2 : 57193.704687783
  72. chop : 37.3922
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109636
  77. 5m_price_ema100_diff: 
    0.0018322
  78. 5m_price: 
    109836
  79. 5m_correlation_with_coin: 
    0.824587
  80. btc_indicators
  81. 15m_ema100: 
    109128
  82. 15m_price_ema100_diff: 
    0.00834202
  83. 15m_price: 
    110038
  84. 15m_correlation_with_coin: 
    0.031789
  85. btc_indicators
  86. 1H_ema100: 
    111180
  87. 1H_price_ema100_diff: 
    -0.0120818
  88. 1H_price: 
    109836
  89. 1H_correlation_with_coin: 
    0.071429
    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 01:00:00
                    [1] => 0.020912
                    [2] => L
                )

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

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

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

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

            [5] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.019869
                    [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] => 0.019124
                    [2] => H
                )

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

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

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -4.145186743819
            [ms_dist_from_last_low_pct] => 3.8764108995554
            [ms_bars_since_swing_high] => 7
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 8.3684870596283
            [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] => 2025-10-30 23:30:00
                    [1] => 0.018658
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 00:15:00
                    [1] => 0.018986
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 04:15:00
                    [1] => 0.018475
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 05:00:00
                    [1] => 0.018768
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 07:15:00
                    [1] => 0.018467
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 08:30:00
                    [1] => 0.01901
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 09:30:00
                    [1] => 0.018417
                    [2] => L
                )

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

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

            [9] => Array
                (
                    [0] => 2025-10-31 15:30:00
                    [1] => 0.018284
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.33909429008971
            [ms_dist_from_last_low_pct] => 3.8764108995554
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 4.2298483639266
            [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] => 2025-10-31 09:20:00
                    [1] => 0.018793
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-31 09:40:00
                    [1] => 0.018417
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-31 10:10:00
                    [1] => 0.018791
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-31 10:20:00
                    [1] => 0.01844
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-31 11:20:00
                    [1] => 0.018931
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 13:20:00
                    [1] => 0.017542
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 13:45:00
                    [1] => 0.017925
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 14:35:00
                    [1] => 0.017545
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 14:40:00
                    [1] => 0.018005
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-31 15:30:00
                    [1] => 0.018284
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.33909429008971
            [ms_dist_from_last_low_pct] => 3.8586491878028
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.54956956401
            [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
-0.34%
Dist From Last Low Pct
3.86%
Bars Since Swing High
1 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.55%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0005
2.77%
TP to Pivot Distance
0.0003
1.45%
DateTime Price Type
2025-10-31 09:20:00 0.018793 ↑ High
2025-10-31 09:40:00 0.018417 ↓ Low
2025-10-31 10:10:00 0.018791 ↑ High
2025-10-31 10:20:00 0.01844 ↓ Low
2025-10-31 11:20:00 0.018931 ↑ High
2025-10-31 13:20:00 0.017542 ↓ Low
2025-10-31 13:45:00 0.017925 ↑ High
2025-10-31 14:35:00 0.017545 ↓ Low
2025-10-31 14:40:00 0.018005 ↑ High
2025-10-31 15:30:00 0.018284 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.34%
Dist From Last Low Pct
3.88%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
4.23%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
3.20%
TP to Pivot Distance
0.0003
1.45%
DateTime Price Type
2025-10-30 23:30:00 0.018658 ↓ Low
2025-10-31 00:15:00 0.018986 ↑ High
2025-10-31 04:15:00 0.018475 ↓ Low
2025-10-31 05:00:00 0.018768 ↑ High
2025-10-31 07:15:00 0.018467 ↓ Low
2025-10-31 08:30:00 0.01901 ↑ High
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 15:30:00 0.018284 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-4.15%
Dist From Last Low Pct
3.88%
Bars Since Swing High
7 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
8.37%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0037
20.33%
TP to Pivot Distance
0.0003
1.45%
DateTime Price Type
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 0.019124 ↑ High
2025-10-31 08:00:00 0.01901 ↑ High
2025-10-31 13:00:00 0.017542 ↓ Low

📌 Time Data

Start at Closed at Duration
31 Oct 2025
15:39:29		 31 Oct 2025
15:45:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01821 0.01842 0.0178 1.95 0.006875
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 0.01821
  • Stop Loss: 0.01842
  • Take Profit: 0.0178

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01842 - 0.01821 = 0.00021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01821 - 0.0178 = 0.00041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00041 / 0.00021 = 1.9524

📌 Position Size

Amount Margin Quantity Leverage
705.8811 100 38752.739 7.06
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 0.00021

Taille de position = 8 / 0.00021 = 38095.24

Taille de position USD = 38095.24 x 0.01821 = 693.71

Donc, tu peux acheter 38095.24 avec un stoploss a 0.01842

Avec un position size USD de 693.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 38095.24 x 0.00021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 38095.24 x 0.00041 = 15.62

Si Take Profit atteint, tu gagneras 15.62$

Résumé

  • Taille de position 38095.24
  • Taille de position USD 693.71
  • Perte potentielle 8
  • Gain potentiel 15.62
  • Risk-Reward Ratio 1.9524

📌 Peformances

TP % Target TP $ Target
2.25 % 15.89 $
SL % Target SL $ Target
1.15 % 8.14 $
PNL PNL %
-8.14 $ -1.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3509 % 117.14 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0178
            [entry_price] => 0.01821
            [stop_loss] => 0.018441
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-31 15:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000241
            [max_drawdown] => 0.000248
            [rr_ratio] => 0.97
            [high] => 0.01845800
            [low] => 0.01796900
            [mfe_pct] => 1.32
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 24
            [start_at] => 2025-10-31T15:39:29-04:00
            [end_at] => 2025-10-31T17:39:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000305
            [max_drawdown] => 0.000248
            [rr_ratio] => 1.23
            [high] => 0.01845800
            [low] => 0.01790500
            [mfe_pct] => 1.67
            [mae_pct] => 1.36
            [mfe_mae_ratio] => 1.23
            [candles_analyzed] => 84
            [start_at] => 2025-10-31T15:39:29-04:00
            [end_at] => 2025-10-31T22:39:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01880800
            [high_after] => 0.01845800
            [low_before] => 0.01754200
            [low_after] => 0.01796900
            [is_new_high] => 
            [is_new_low] => 
        )

)