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Long Trade on PENGU

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Long Trade on PENGU 14 Jan 2026 at 01:10:55

Take profit at 0.01322 (1.54 %) and Stop Loss at 0.01292 (0.77 %)

Long Trade on PENGU

The 14 Jan 2026 at 01:10:55

With 78441.2804 PENGU at 0.01302$ per unit.

Position size of 1021.3839 $

Take profit at 0.01322 (1.54 %) and Stop Loss at 0.01292 (0.77 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -60
ML Pullback Score: 2.13
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.93
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.538177

15m : 0.061533

1H : 0.066885

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 6.7991411E-5
Details
  1. score: 2.04
  2. 1H
  3. ema9 : 0.013172
  4. ema21 : 0.0129028
  5. ema50 : 0.0125239
  6. ema100 : 0.0122912
  7. price_ema9_diff : -0.0114656
  8. ema9_ema21_diff : 0.0208579
  9. ema21_ema50_diff : 0.0302607
  10. price_ema100_diff : 0.0593686
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.519296
  14. ema_slope_21 : 0.47281
  15. ema_slope_50 : 0.293199
  16. ema_slope_100 : 0.172183
  17. rsi : 0.566924
  18. adx : 0.427218
  19. kc_percentage : 0.58941
  20. kc_width_percentage : 0.0831636
  21. volume_ema_diff : -0.192545
  22. volume_ema1 : 591792.20329566
  23. volume_ema2 : 732911.18274322
  24. chop : 36.05
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0131877
  28. ema21 : 0.0132721
  29. ema50 : 0.0131233
  30. ema100 : 0.0128348
  31. price_ema9_diff : -0.0126407
  32. ema9_ema21_diff : -0.00635905
  33. ema21_ema50_diff : 0.0113375
  34. price_ema100_diff : 0.0145038
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.163489
  38. ema_slope_21 : -0.0398461
  39. ema_slope_50 : 0.0619491
  40. ema_slope_100 : 0.0818078
  41. rsi : 0.347952
  42. adx : 0.303079
  43. kc_percentage : 0.011618
  44. kc_width_percentage : 0.0394102
  45. volume_ema_diff : -0.477527
  46. volume_ema1 : 124990.77019237
  47. volume_ema2 : 239229.36579684
  48. chop : 34.7333
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0130774
  52. ema21 : 0.0131694
  53. ema50 : 0.0132779
  54. ema100 : 0.0132643
  55. price_ema9_diff : -0.00432027
  56. ema9_ema21_diff : -0.0069799
  57. ema21_ema50_diff : -0.00817016
  58. price_ema100_diff : -0.0183469
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.136728
  62. ema_slope_21 : -0.126734
  63. ema_slope_50 : -0.0755732
  64. ema_slope_100 : -0.0307792
  65. rsi : 0.267182
  66. adx : 0.360895
  67. kc_percentage : -0.0443182
  68. kc_width_percentage : 0.0199676
  69. volume_ema_diff : -0.517615
  70. volume_ema1 : 29207.580071438
  71. volume_ema2 : 60548.291186988
  72. chop : 45.2842
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    95087.9
  77. 5m_price_ema100_diff: 
    -0.00338629
  78. 5m_price: 
    94766
  79. 5m_correlation_with_coin: 
    0.538177
  80. btc_indicators
  81. 15m_ema100: 
    93992.4
  82. 15m_price_ema100_diff: 
    0.00822994
  83. 15m_price: 
    94766
  84. 15m_correlation_with_coin: 
    0.061533
  85. btc_indicators
  86. 1H_ema100: 
    92113
  87. 1H_price_ema100_diff: 
    0.028801
  88. 1H_price: 
    94766
  89. 1H_correlation_with_coin: 
    0.066885
    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] => 2026-01-11 01:00:00
                    [1] => 0.011869
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2026-01-11 08:00:00
                    [1] => 0.012401
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2026-01-11 18:00:00
                    [1] => 0.011765
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2026-01-11 22:00:00
                    [1] => 0.012589
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-12 09:00:00
                    [1] => 0.011647
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-12 10:00:00
                    [1] => 0.012235
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-12 22:00:00
                    [1] => 0.011688
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-13 00:00:00
                    [1] => 0.012155
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-13 22:00:00
                    [1] => 0.0138
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2026-01-14 01:00:00
                    [1] => 0.012978
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -5.3188405797101
            [ms_dist_from_last_low_pct] => 0.6780705809832
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 6.333795654184
            [ms_bos_up] => 1
            [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] => 2026-01-13 09:30:00
                    [1] => 0.012559
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-13 10:15:00
                    [1] => 0.012068
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-13 11:45:00
                    [1] => 0.012643
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-13 14:45:00
                    [1] => 0.013005
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-13 15:30:00
                    [1] => 0.01266
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-13 18:15:00
                    [1] => 0.013685
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-13 19:15:00
                    [1] => 0.013271
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-13 21:00:00
                    [1] => 0.013256
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-13 22:30:00
                    [1] => 0.0138
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2026-01-14 01:00:00
                    [1] => 0.012978
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -5.3188405797101
            [ms_dist_from_last_low_pct] => 0.6780705809832
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 6.333795654184
            [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] => 2026-01-13 16:55:00
                    [1] => 0.012752
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2026-01-13 18:20:00
                    [1] => 0.013685
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2026-01-13 19:05:00
                    [1] => 0.013522
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-13 19:15:00
                    [1] => 0.013271
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2026-01-13 20:20:00
                    [1] => 0.013502
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2026-01-13 21:00:00
                    [1] => 0.013256
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2026-01-13 22:35:00
                    [1] => 0.0138
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-14 00:25:00
                    [1] => 0.013051
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-14 01:05:00
                    [1] => 0.012978
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -5.3188405797101
            [ms_dist_from_last_low_pct] => 0.6780705809832
            [ms_bars_since_swing_high] => 31
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 0.56249036831561
            [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
-5.32%
Dist From Last Low Pct
0.68%
Bars Since Swing High
31 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
0.56%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
1.30%
TP to Pivot Distance
0.0006
4.39%
DateTime Price Type
2026-01-13 16:55:00 0.012752 ↓ Low
2026-01-13 18:20:00 0.013685 ↑ High
2026-01-13 19:05:00 0.013522 ↑ High
2026-01-13 19:15:00 0.013271 ↓ Low
2026-01-13 20:20:00 0.013502 ↑ High
2026-01-13 21:00:00 0.013256 ↓ Low
2026-01-13 22:35:00 0.0138 ↑ High
2026-01-14 00:25:00 0.013051 ↓ Low
2026-01-14 01:05:00 0.012978 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-5.32%
Dist From Last Low Pct
0.68%
Bars Since Swing High
10 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
6.33%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
6.59%
TP to Pivot Distance
0.0006
4.39%
DateTime Price Type
2026-01-13 09:30:00 0.012559 ↑ High
2026-01-13 10:15:00 0.012068 ↓ Low
2026-01-13 11:45:00 0.012643 ↑ High
2026-01-13 14:45:00 0.013005 ↑ High
2026-01-13 15:30:00 0.01266 ↓ Low
2026-01-13 18:15:00 0.013685 ↑ High
2026-01-13 19:15:00 0.013271 ↓ Low
2026-01-13 21:00:00 0.013256 ↓ Low
2026-01-13 22:30:00 0.0138 ↑ High
2026-01-14 01:00:00 0.012978 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-5.32%
Dist From Last Low Pct
0.68%
Bars Since Swing High
3 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
6.33%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
9.85%
TP to Pivot Distance
0.0006
4.39%
DateTime Price Type
2026-01-11 01:00:00 0.011869 ↓ Low
2026-01-11 08:00:00 0.012401 ↑ High
2026-01-11 18:00:00 0.011765 ↓ Low
2026-01-11 22:00:00 0.012589 ↑ High
2026-01-12 09:00:00 0.011647 ↓ Low
2026-01-12 10:00:00 0.012235 ↑ High
2026-01-12 22:00:00 0.011688 ↓ Low
2026-01-13 00:00:00 0.012155 ↑ High
2026-01-13 22:00:00 0.0138 ↑ High
2026-01-14 01:00:00 0.012978 ↓ Low

📌 Time Data

Start at Closed at Duration
14 Jan 2026
01:10:55		 14 Jan 2026
01:35:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01302 0.01292 0.01322 2 0.006936
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 0.01302
  • Stop Loss: 0.01292
  • Take Profit: 0.01322

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01292 - 0.01302 = -0.0001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01302 - 0.01322 = -0.0002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0002 / -0.0001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1021.3839 100 78441.2804 10.21
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 -0.0001

Taille de position = 8 / -0.0001 = -80000

Taille de position USD = -80000 x 0.01302 = -1041.6

Donc, tu peux acheter -80000 avec un stoploss a 0.01292

Avec un position size USD de -1041.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -80000 x -0.0001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -80000 x -0.0002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -80000
  • Taille de position USD -1041.6
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.54 % 15.69 $
SL % Target SL $ Target
0.77 % 7.84 $
PNL PNL %
-7.84 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8065 % 105.01 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01322
            [entry_price] => 0.01302
            [stop_loss] => 0.01291
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-01-14 03:05:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.01322
            [entry_price] => 0.01302
            [stop_loss] => 0.0129
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-01-14 03:05:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.01322
            [entry_price] => 0.01302
            [stop_loss] => 0.01289
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-01-14 03:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.01322
            [entry_price] => 0.01302
            [stop_loss] => 0.01287
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-01-14 03:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000205
            [max_drawdown] => 0.000105
            [rr_ratio] => 1.95
            [high] => 0.01322500
            [low] => 0.01291500
            [mfe_pct] => 1.57
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 1.95
            [candles_analyzed] => 24
            [start_at] => 2026-01-14T01:10:55-05:00
            [end_at] => 2026-01-14T03:10:55-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000212
            [max_drawdown] => 0.000224
            [rr_ratio] => 0.95
            [high] => 0.01323200
            [low] => 0.01279600
            [mfe_pct] => 1.63
            [mae_pct] => 1.72
            [mfe_mae_ratio] => 0.95
            [candles_analyzed] => 84
            [start_at] => 2026-01-14T01:10:55-05:00
            [end_at] => 2026-01-14T08:10:55-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01380000
            [high_after] => 0.01323200
            [low_before] => 0.01297800
            [low_after] => 0.01288200
            [is_new_high] => 
            [is_new_low] => 
        )

)