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Long Trade on PENGU

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Long Trade on PENGU 19 Oct 2025 at 20:02:54

Take profit at 0.02238 (0.99 %) and Stop Loss at 0.02206 (0.45 %)

Long Trade on PENGU

The 19 Oct 2025 at 20:02:54

With 75533.1253 PENGU at 0.02216$ per unit.

Position size of 1674.1917 $

Take profit at 0.02238 (0.99 %) and Stop Loss at 0.02206 (0.45 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.27
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.84
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.727687

15m : 0.108173

1H : -0.015099

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 7.060919711E-5
Details
  1. score: 2.21
  2. 1H
  3. ema9 : 0.0223425
  4. ema21 : 0.0221473
  5. ema50 : 0.0218936
  6. ema100 : 0.0219819
  7. price_ema9_diff : -0.00794786
  8. ema9_ema21_diff : 0.00881396
  9. ema21_ema50_diff : 0.0115897
  10. price_ema100_diff : 0.00832592
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.239473
  14. ema_slope_21 : 0.233688
  15. ema_slope_50 : 0.132004
  16. ema_slope_100 : 0.0488254
  17. rsi : 0.526053
  18. adx : 0.295256
  19. kc_percentage : 0.500548
  20. kc_width_percentage : 0.0583418
  21. volume_ema_diff : -0.543267
  22. volume_ema1 : 339254.13915073
  23. volume_ema2 : 742785.85343578
  24. chop : 67.0089
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0223599
  28. ema21 : 0.0224118
  29. ema50 : 0.0223043
  30. ema100 : 0.0220661
  31. price_ema9_diff : -0.00872088
  32. ema9_ema21_diff : -0.00231527
  33. ema21_ema50_diff : 0.00482279
  34. price_ema100_diff : 0.00447982
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.047672
  38. ema_slope_21 : -0.0141152
  39. ema_slope_50 : 0.0245731
  40. ema_slope_100 : 0.0360065
  41. rsi : 0.379453
  42. adx : 0.285002
  43. kc_percentage : 0.0147884
  44. kc_width_percentage : 0.0229127
  45. volume_ema_diff : -0.235006
  46. volume_ema1 : 111280.32615093
  47. volume_ema2 : 145465.62267993
  48. chop : 54.5541
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0222886
  52. ema21 : 0.0223741
  53. ema50 : 0.0224283
  54. ema100 : 0.0224402
  55. price_ema9_diff : -0.00554691
  56. ema9_ema21_diff : -0.00382189
  57. ema21_ema50_diff : -0.00241778
  58. price_ema100_diff : -0.0122658
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0944307
  62. ema_slope_21 : -0.0537404
  63. ema_slope_50 : -0.0238635
  64. ema_slope_100 : -0.0110639
  65. rsi : 0.281379
  66. adx : 0.249881
  67. kc_percentage : -0.20988
  68. kc_width_percentage : 0.0130172
  69. volume_ema_diff : 0.903702
  70. volume_ema1 : 73335.915776204
  71. volume_ema2 : 38522.782930509
  72. chop : 30.7563
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108778
  77. 5m_price_ema100_diff: 
    -0.0018357
  78. 5m_price: 
    108579
  79. 5m_correlation_with_coin: 
    0.727687
  80. btc_indicators
  81. 15m_ema100: 
    108042
  82. 15m_price_ema100_diff: 
    0.0049708
  83. 15m_price: 
    108579
  84. 15m_correlation_with_coin: 
    0.108173
  85. btc_indicators
  86. 1H_ema100: 
    108094
  87. 1H_price_ema100_diff: 
    0.00448517
  88. 1H_price: 
    108579
  89. 1H_correlation_with_coin: 
    -0.015099
    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] => 2025-10-16 21:00:00
                    [1] => 0.022351
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 04:00:00
                    [1] => 0.019855
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-17 12:00:00
                    [1] => 0.021536
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 21:00:00
                    [1] => 0.021581
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-18 03:00:00
                    [1] => 0.021721
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-18 12:00:00
                    [1] => 0.020965
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-18 16:00:00
                    [1] => 0.021533
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-19 05:00:00
                    [1] => 0.020966
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-19 09:00:00
                    [1] => 0.022809
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-19 20:00:00
                    [1] => 0.022123
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -2.8979788679907
            [ms_dist_from_last_low_pct] => 0.11300456538444
            [ms_bars_since_swing_high] => 11
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 3.1008452741491
            [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] => 2025-10-19 07:15:00
                    [1] => 0.022594
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-19 08:45:00
                    [1] => 0.021926
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-19 09:45:00
                    [1] => 0.022809
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-19 12:15:00
                    [1] => 0.022202
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-19 13:00:00
                    [1] => 0.022738
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-19 14:00:00
                    [1] => 0.022328
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-19 14:45:00
                    [1] => 0.022704
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-19 17:30:00
                    [1] => 0.022323
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-19 18:30:00
                    [1] => 0.022644
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-19 20:00:00
                    [1] => 0.022123
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -2.1904257198375
            [ms_dist_from_last_low_pct] => 0.11300456538444
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 2.3550151426118
            [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] => 2025-10-19 14:45:00
                    [1] => 0.022704
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-19 15:10:00
                    [1] => 0.022381
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-19 15:35:00
                    [1] => 0.022586
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-19 16:05:00
                    [1] => 0.022635
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-19 16:20:00
                    [1] => 0.022389
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-19 16:30:00
                    [1] => 0.022389
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-19 17:00:00
                    [1] => 0.02259
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-19 17:30:00
                    [1] => 0.022323
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-19 18:40:00
                    [1] => 0.022644
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-19 20:00:00
                    [1] => 0.022123
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -2.1904257198375
            [ms_dist_from_last_low_pct] => 0.11300456538444
            [ms_bars_since_swing_high] => 16
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 2.3550151426118
            [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
-2.19%
Dist From Last Low Pct
0.11%
Bars Since Swing High
16 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
2.36%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.29%
TP to Pivot Distance
0.0003
1.45%
DateTime Price Type
2025-10-19 14:45:00 0.022704 ↑ High
2025-10-19 15:10:00 0.022381 ↓ Low
2025-10-19 15:35:00 0.022586 ↑ High
2025-10-19 16:05:00 0.022635 ↑ High
2025-10-19 16:20:00 0.022389 ↓ Low
2025-10-19 16:30:00 0.022389 ↓ Low
2025-10-19 17:00:00 0.02259 ↑ High
2025-10-19 17:30:00 0.022323 ↓ Low
2025-10-19 18:40:00 0.022644 ↑ High
2025-10-19 20:00:00 0.022123 ↓ Low
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-2.19%
Dist From Last Low Pct
0.11%
Bars Since Swing High
6 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
2.36%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.61%
TP to Pivot Distance
0.0004
1.92%
DateTime Price Type
2025-10-19 07:15:00 0.022594 ↑ High
2025-10-19 08:45:00 0.021926 ↓ Low
2025-10-19 09:45:00 0.022809 ↑ High
2025-10-19 12:15:00 0.022202 ↓ Low
2025-10-19 13:00:00 0.022738 ↑ High
2025-10-19 14:00:00 0.022328 ↓ Low
2025-10-19 14:45:00 0.022704 ↑ High
2025-10-19 17:30:00 0.022323 ↓ Low
2025-10-19 18:30:00 0.022644 ↑ High
2025-10-19 20:00:00 0.022123 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-2.90%
Dist From Last Low Pct
0.11%
Bars Since Swing High
11 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
3.10%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0022
10.00%
TP to Pivot Distance
0.0004
1.92%
DateTime Price Type
2025-10-16 21:00:00 0.022351 ↑ High
2025-10-17 04:00:00 0.019855 ↓ Low
2025-10-17 12:00:00 0.021536 ↑ High
2025-10-17 21:00:00 0.021581 ↑ High
2025-10-18 03:00:00 0.021721 ↑ High
2025-10-18 12:00:00 0.020965 ↓ Low
2025-10-18 16:00:00 0.021533 ↑ High
2025-10-19 05:00:00 0.020966 ↓ Low
2025-10-19 09:00:00 0.022809 ↑ High
2025-10-19 20:00:00 0.022123 ↓ Low

📌 Time Data

Start at Closed at Duration
19 Oct 2025
20:02:54		 19 Oct 2025
20:10:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02216 0.02206 0.02238 2.2 0.007015
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 0.02216
  • Stop Loss: 0.02206
  • Take Profit: 0.02238

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02206 - 0.02216 = -9.9999999999999E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02216 - 0.02238 = -0.00022

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1674.1917 100 75533.1253 16.74
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 0.02216 = -1772.8

Donc, tu peux acheter -80000 avec un stoploss a 0.02206

Avec un position size USD de -1772.8$

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 -1772.8
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.99 % 16.62 $
SL % Target SL $ Target
0.45 % 7.55 $
PNL PNL %
-7.56 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5596 % 124 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02238
            [entry_price] => 0.02216
            [stop_loss] => 0.02205
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-19 20:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02238
            [entry_price] => 0.02216
            [stop_loss] => 0.02204
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-19 20:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02238
            [entry_price] => 0.02216
            [stop_loss] => 0.02203
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-19 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02238
            [entry_price] => 0.02216
            [stop_loss] => 0.02201
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-19 20:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.6999999999999E-5
            [max_drawdown] => 0.000513
            [rr_ratio] => 0.05
            [high] => 0.02218700
            [low] => 0.02164700
            [mfe_pct] => 0.12
            [mae_pct] => 2.31
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-10-19T20:02:54-04:00
            [end_at] => 2025-10-19T22:02:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001051
            [max_drawdown] => 0.000513
            [rr_ratio] => 2.05
            [high] => 0.02321100
            [low] => 0.02164700
            [mfe_pct] => 4.74
            [mae_pct] => 2.31
            [mfe_mae_ratio] => 2.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-19T20:02:54-04:00
            [end_at] => 2025-10-20T03:02:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02264400
            [high_after] => 0.02293000
            [low_before] => 0.02212300
            [low_after] => 0.02164700
            [is_new_high] => 1
            [is_new_low] => 
        )

)