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Short Trade on PENGU

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Short Trade on PENGU 23 Oct 2025 at 02:26:47

Take profit at 0.02005 (1.18 %) and Stop Loss at 0.02041 (0.59 %)

Short Trade on PENGU

The 23 Oct 2025 at 02:26:47

With 65335.6191 PENGU at 0.02029$ per unit.

Position size of 1325.725 $

Take profit at 0.02005 (1.18 %) and Stop Loss at 0.02041 (0.59 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.58
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
1 0.69
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.765872

15m : -0.127212

1H : 0.034451

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 8.162979713E-5
Details
  1. score: 1.3
  2. 1H
  3. ema9 : 0.0200235
  4. ema21 : 0.0203169
  5. ema50 : 0.0209209
  6. ema100 : 0.0213353
  7. price_ema9_diff : 0.013355
  8. ema9_ema21_diff : -0.014439
  9. ema21_ema50_diff : -0.028869
  10. price_ema100_diff : -0.0489478
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.336442
  14. ema_slope_21 : -0.322063
  15. ema_slope_50 : -0.236136
  16. ema_slope_100 : -0.146215
  17. rsi : 0.459222
  18. adx : 0.399526
  19. kc_percentage : 0.50084
  20. kc_width_percentage : 0.0666065
  21. volume_ema_diff : -0.11268
  22. volume_ema1 : 981482.07152673
  23. volume_ema2 : 1106119.7519801
  24. chop : 48.6036
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.019977
  28. ema21 : 0.0199341
  29. ema50 : 0.0200659
  30. ema100 : 0.0203258
  31. price_ema9_diff : 0.015715
  32. ema9_ema21_diff : 0.00215423
  33. ema21_ema50_diff : -0.00656798
  34. price_ema100_diff : -0.00171398
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0300594
  38. ema_slope_21 : 0.00892476
  39. ema_slope_50 : -0.0351843
  40. ema_slope_100 : -0.0446525
  41. rsi : 0.628794
  42. adx : 0.161376
  43. kc_percentage : 1.1532
  44. kc_width_percentage : 0.0269351
  45. volume_ema_diff : 0.255561
  46. volume_ema1 : 318140.44337129
  47. volume_ema2 : 253385.06134997
  48. chop : 47.6407
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0200935
  52. ema21 : 0.0199969
  53. ema50 : 0.019928
  54. ema100 : 0.0198787
  55. price_ema9_diff : 0.00982766
  56. ema9_ema21_diff : 0.0048314
  57. ema21_ema50_diff : 0.00345314
  58. price_ema100_diff : 0.0207357
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0865862
  62. ema_slope_21 : 0.049175
  63. ema_slope_50 : 0.0255417
  64. ema_slope_100 : 0.0158878
  65. rsi : 0.776768
  66. adx : 0.256526
  67. kc_percentage : 1.30132
  68. kc_width_percentage : 0.0178012
  69. volume_ema_diff : 1.76962
  70. volume_ema1 : 266263.66635581
  71. volume_ema2 : 96137.231051933
  72. chop : 21.1758
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108311
  77. 5m_price_ema100_diff: 
    0.0154711
  78. 5m_price: 
    109987
  79. 5m_correlation_with_coin: 
    0.765872
  80. btc_indicators
  81. 15m_ema100: 
    108076
  82. 15m_price_ema100_diff: 
    0.0158624
  83. 15m_price: 
    109791
  84. 15m_correlation_with_coin: 
    -0.127212
  85. btc_indicators
  86. 1H_ema100: 
    108646
  87. 1H_price_ema100_diff: 
    0.0123458
  88. 1H_price: 
    109987
  89. 1H_correlation_with_coin: 
    0.034451
    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] => 2025-10-19 20:00:00
                    [1] => 0.021647
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-20 02:00:00
                    [1] => 0.023211
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-20 11:00:00
                    [1] => 0.023039
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-20 12:00:00
                    [1] => 0.022084
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-21 01:00:00
                    [1] => 0.021267
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-21 12:00:00
                    [1] => 0.023501
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-22 07:00:00
                    [1] => 0.020492
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-22 11:00:00
                    [1] => 0.021267
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-22 17:00:00
                    [1] => 0.019368
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 02:00:00
                    [1] => 0.020334
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.47211566833875
            [ms_dist_from_last_low_pct] => 4.4919454770756
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 4.9876084262701
            [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] => 2025-10-22 10:45:00
                    [1] => 0.02067
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-22 11:00:00
                    [1] => 0.021267
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-22 14:15:00
                    [1] => 0.020457
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-22 15:15:00
                    [1] => 0.020847
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-22 17:00:00
                    [1] => 0.019368
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-22 19:30:00
                    [1] => 0.020022
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-22 20:30:00
                    [1] => 0.019644
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-22 22:30:00
                    [1] => 0.020015
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-23 00:15:00
                    [1] => 0.019757
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 02:15:00
                    [1] => 0.020334
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.47211566833875
            [ms_dist_from_last_low_pct] => 2.434580148808
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 2.9204838791315
            [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] => 2025-10-22 21:20:00
                    [1] => 0.019705
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-22 22:35:00
                    [1] => 0.020015
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-22 23:25:00
                    [1] => 0.020014
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-23 00:15:00
                    [1] => 0.019757
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-23 00:30:00
                    [1] => 0.019757
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-23 00:40:00
                    [1] => 0.019993
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-23 01:05:00
                    [1] => 0.01983
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-23 01:30:00
                    [1] => 0.019945
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-23 02:00:00
                    [1] => 0.019875
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 02:20:00
                    [1] => 0.020334
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.47211566833875
            [ms_dist_from_last_low_pct] => 1.8264150943396
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 2.3094339622642
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.47%
Dist From Last Low Pct
1.83%
Bars Since Swing High
1 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
2.31%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.37%
TP to Pivot Distance
0.0003
1.72%
DateTime Price Type
2025-10-22 21:20:00 0.019705 ↓ Low
2025-10-22 22:35:00 0.020015 ↑ High
2025-10-22 23:25:00 0.020014 ↑ High
2025-10-23 00:15:00 0.019757 ↓ Low
2025-10-23 00:30:00 0.019757 ↓ Low
2025-10-23 00:40:00 0.019993 ↑ High
2025-10-23 01:05:00 0.01983 ↓ Low
2025-10-23 01:30:00 0.019945 ↑ High
2025-10-23 02:00:00 0.019875 ↓ Low
2025-10-23 02:20:00 0.020334 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.47%
Dist From Last Low Pct
2.43%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
2.92%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
4.20%
TP to Pivot Distance
0.0007
3.40%
DateTime Price Type
2025-10-22 10:45:00 0.02067 ↓ Low
2025-10-22 11:00:00 0.021267 ↑ High
2025-10-22 14:15:00 0.020457 ↓ Low
2025-10-22 15:15:00 0.020847 ↑ High
2025-10-22 17:00:00 0.019368 ↓ Low
2025-10-22 19:30:00 0.020022 ↑ High
2025-10-22 20:30:00 0.019644 ↓ Low
2025-10-22 22:30:00 0.020015 ↑ High
2025-10-23 00:15:00 0.019757 ↓ Low
2025-10-23 02:15:00 0.020334 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.47%
Dist From Last Low Pct
4.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
4.99%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0031
15.14%
TP to Pivot Distance
0.0007
3.40%
DateTime Price Type
2025-10-19 20:00:00 0.021647 ↓ Low
2025-10-20 02:00:00 0.023211 ↑ High
2025-10-20 11:00:00 0.023039 ↑ High
2025-10-20 12:00:00 0.022084 ↓ Low
2025-10-21 01:00:00 0.021267 ↓ Low
2025-10-21 12:00:00 0.023501 ↑ High
2025-10-22 07:00:00 0.020492 ↓ Low
2025-10-22 11:00:00 0.021267 ↑ High
2025-10-22 17:00:00 0.019368 ↓ Low
2025-10-23 02:00:00 0.020334 ↑ High

📌 Time Data

Start at Closed at Duration
23 Oct 2025
02:26:47		 23 Oct 2025
02:40:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02029 0.02041 0.02005 2 0.006871
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 0.02029
  • Stop Loss: 0.02041
  • Take Profit: 0.02005

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02041 - 0.02029 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02029 - 0.02005 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1325.725 100 65335.6191 13.26
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.02029 = 1352.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.02041

Avec un position size USD de 1352.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 1352.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.18 % 15.68 $
SL % Target SL $ Target
0.59 % 7.84 $
PNL PNL %
-7.84 $ -0.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0054 % 170 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02005
            [entry_price] => 0.02029
            [stop_loss] => 0.020422
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-23 02:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02005
            [entry_price] => 0.02029
            [stop_loss] => 0.020434
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-23 02:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02005
            [entry_price] => 0.02029
            [stop_loss] => 0.020446
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-23 02:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02005
            [entry_price] => 0.02029
            [stop_loss] => 0.02047
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-23 02:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.6E-5
            [max_drawdown] => 0.000385
            [rr_ratio] => 0.15
            [high] => 0.02067500
            [low] => 0.02023400
            [mfe_pct] => 0.28
            [mae_pct] => 1.9
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-10-23T02:26:47-04:00
            [end_at] => 2025-10-23T04:26:47-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000319
            [max_drawdown] => 0.000419
            [rr_ratio] => 0.76
            [high] => 0.02070900
            [low] => 0.01997100
            [mfe_pct] => 1.57
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 84
            [start_at] => 2025-10-23T02:26:47-04:00
            [end_at] => 2025-10-23T09:26:47-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02033400
            [high_after] => 0.02070900
            [low_before] => 0.01975700
            [low_after] => 0.01997100
            [is_new_high] => 
            [is_new_low] => 
        )

)