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Short Trade on PENGU

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Short Trade on PENGU 28 Oct 2025 at 06:58:17

Take profit at 0.02133 (0.79 %) and Stop Loss at 0.02159 (0.42 %)

Short Trade on PENGU

The 28 Oct 2025 at 06:58:17

With 93300.4849 PENGU at 0.0215$ per unit.

Position size of 2006.147 $

Take profit at 0.02133 (0.79 %) and Stop Loss at 0.02159 (0.42 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.91
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.76
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.806757

15m : -0.080841

1H : 0.053427

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 5.716297548E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0213518
  4. ema21 : 0.0215055
  5. ema50 : 0.0216348
  6. ema100 : 0.021507
  7. price_ema9_diff : 0.00703056
  8. ema9_ema21_diff : -0.00714721
  9. ema21_ema50_diff : -0.00597457
  10. price_ema100_diff : -0.00023541
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.172764
  14. ema_slope_21 : -0.174783
  15. ema_slope_50 : -0.0829206
  16. ema_slope_100 : -0.0238149
  17. rsi : 0.484803
  18. adx : 0.225618
  19. kc_percentage : 0.507565
  20. kc_width_percentage : 0.0560624
  21. volume_ema_diff : -0.509029
  22. volume_ema1 : 275775.12486098
  23. volume_ema2 : 561694.33123575
  24. chop : 63.6959
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 0.0213558
  28. ema21 : 0.0213102
  29. ema50 : 0.021361
  30. ema100 : 0.021517
  31. price_ema9_diff : 0.00684369
  32. ema9_ema21_diff : 0.00213984
  33. ema21_ema50_diff : -0.00237971
  34. price_ema100_diff : -0.000700954
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0571175
  38. ema_slope_21 : 0.0368113
  39. ema_slope_50 : -0.00336701
  40. ema_slope_100 : -0.0181093
  41. rsi : 0.560677
  42. adx : 0.200763
  43. kc_percentage : 0.916411
  44. kc_width_percentage : 0.0212174
  45. volume_ema_diff : -0.474675
  46. volume_ema1 : 49178.936488617
  47. volume_ema2 : 93616.254040566
  48. chop : 64.4346
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0214141
  52. ema21 : 0.0213817
  53. ema50 : 0.0213269
  54. ema100 : 0.0212858
  55. price_ema9_diff : 0.0041003
  56. ema9_ema21_diff : 0.00151911
  57. ema21_ema50_diff : 0.00256904
  58. price_ema100_diff : 0.0101559
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0136592
  62. ema_slope_21 : 0.0155411
  63. ema_slope_50 : 0.0161298
  64. ema_slope_100 : 0.0112474
  65. rsi : 0.649986
  66. adx : 0.161953
  67. kc_percentage : 1.03416
  68. kc_width_percentage : 0.0102767
  69. volume_ema_diff : 0.0825525
  70. volume_ema1 : 25303.827675287
  71. volume_ema2 : 23374.226131463
  72. chop : 52.5091
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    114160
  77. 5m_price_ema100_diff: 
    0.003223
  78. 5m_price: 
    114528
  79. 5m_correlation_with_coin: 
    0.806757
  80. btc_indicators
  81. 15m_ema100: 
    114473
  82. 15m_price_ema100_diff: 
    0.000163271
  83. 15m_price: 
    114492
  84. 15m_correlation_with_coin: 
    -0.080841
  85. btc_indicators
  86. 1H_ema100: 
    113229
  87. 1H_price_ema100_diff: 
    0.0114683
  88. 1H_price: 
    114528
  89. 1H_correlation_with_coin: 
    0.053427
    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] => 2025-10-25 03:00:00
                    [1] => 0.020733
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-25 14:00:00
                    [1] => 0.021787
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-25 23:00:00
                    [1] => 0.02069
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-26 08:00:00
                    [1] => 0.022326
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-26 17:00:00
                    [1] => 0.021644
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-27 01:00:00
                    [1] => 0.023284
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-27 09:00:00
                    [1] => 0.02154
                    [2] => L
                )

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

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

            [9] => Array
                (
                    [0] => 2025-10-28 06:00:00
                    [1] => 0.021547
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.0046410173109992
            [ms_dist_from_last_low_pct] => 3.0317521040551
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 3.0365340474369
            [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] => 2025-10-27 14:00:00
                    [1] => 0.022517
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-27 17:45:00
                    [1] => 0.021789
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 19:15:00
                    [1] => 0.021188
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-27 20:45:00
                    [1] => 0.021206
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-27 21:45:00
                    [1] => 0.021545
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-27 22:45:00
                    [1] => 0.021002
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-28 00:45:00
                    [1] => 0.021264
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.020912
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 0.021475
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-28 06:45:00
                    [1] => 0.021547
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0046410173109992
            [ms_dist_from_last_low_pct] => 3.0317521040551
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 20
            [ms_last_swing_amplitude_pct] => 0.33527357392316
            [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] => 2025-10-28 00:55:00
                    [1] => 0.021264
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-28 01:45:00
                    [1] => 0.020912
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 0.021475
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-28 03:55:00
                    [1] => 0.021118
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-28 04:35:00
                    [1] => 0.021429
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-28 05:05:00
                    [1] => 0.021456
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-28 05:25:00
                    [1] => 0.021264
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-28 05:55:00
                    [1] => 0.021457
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 06:15:00
                    [1] => 0.021315
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-28 06:55:00
                    [1] => 0.021547
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.0046410173109992
            [ms_dist_from_last_low_pct] => 1.0837438423645
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.0884353741497
            [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
0.00%
Dist From Last Low Pct
1.08%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.09%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.20%
TP to Pivot Distance
0.0004
1.96%
DateTime Price Type
2025-10-28 00:55:00 0.021264 ↑ High
2025-10-28 01:45:00 0.020912 ↓ Low
2025-10-28 03:00:00 0.021475 ↑ High
2025-10-28 03:55:00 0.021118 ↓ Low
2025-10-28 04:35:00 0.021429 ↑ High
2025-10-28 05:05:00 0.021456 ↑ High
2025-10-28 05:25:00 0.021264 ↓ Low
2025-10-28 05:55:00 0.021457 ↑ High
2025-10-28 06:15:00 0.021315 ↓ Low
2025-10-28 06:55:00 0.021547 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
3.03%
Bars Since Swing High
0 bars
Bars Since Swing Low
20 bars
Last Swing Amplitude Pct
0.34%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
4.29%
TP to Pivot Distance
0.0004
1.96%
DateTime Price Type
2025-10-27 14:00:00 0.022517 ↑ High
2025-10-27 17:45:00 0.021789 ↑ High
2025-10-27 19:15:00 0.021188 ↓ Low
2025-10-27 20:45:00 0.021206 ↓ Low
2025-10-27 21:45:00 0.021545 ↑ High
2025-10-27 22:45:00 0.021002 ↓ Low
2025-10-28 00:45:00 0.021264 ↑ High
2025-10-28 01:45:00 0.020912 ↓ Low
2025-10-28 03:00:00 0.021475 ↑ High
2025-10-28 06:45:00 0.021547 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
0.00%
Dist From Last Low Pct
3.03%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
3.04%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0017
7.85%
TP to Pivot Distance
0.0006
3.00%
DateTime Price Type
2025-10-25 03:00:00 0.020733 ↓ Low
2025-10-25 14:00:00 0.021787 ↑ High
2025-10-25 23:00:00 0.02069 ↓ Low
2025-10-26 08:00:00 0.022326 ↑ High
2025-10-26 17:00:00 0.021644 ↓ Low
2025-10-27 01:00:00 0.023284 ↑ High
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 06:00:00 0.021547 ↑ High

📌 Time Data

Start at Closed at Duration
28 Oct 2025
06:58:17		 28 Oct 2025
07:15:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0215 0.02159 0.02133 1.89 0.006854
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 0.0215
  • Stop Loss: 0.02159
  • Take Profit: 0.02133

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02159 - 0.0215 = 9.0000000000003E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0215 - 0.02133 = 0.00017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00017 / 9.0000000000003E-5 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
2006.147 100 93300.4849 20.06
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 9.0000000000003E-5

Taille de position = 8 / 9.0000000000003E-5 = 88888.89

Taille de position USD = 88888.89 x 0.0215 = 1911.11

Donc, tu peux acheter 88888.89 avec un stoploss a 0.02159

Avec un position size USD de 1911.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0000000000003E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1911.11
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
0.79 % 15.86 $
SL % Target SL $ Target
0.42 % 8.4 $
PNL PNL %
-8.4 $ -0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9721 % 232.23 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02133
            [entry_price] => 0.0215
            [stop_loss] => 0.021599
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-28 07:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02133
            [entry_price] => 0.0215
            [stop_loss] => 0.021608
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-28 07:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02133
            [entry_price] => 0.0215
            [stop_loss] => 0.021617
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-28 07:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02133
            [entry_price] => 0.0215
            [stop_loss] => 0.021635
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-28 07:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000232
            [max_drawdown] => 0.000307
            [rr_ratio] => 0.76
            [high] => 0.02180700
            [low] => 0.02126800
            [mfe_pct] => 1.08
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 24
            [start_at] => 2025-10-28T06:58:17-04:00
            [end_at] => 2025-10-28T08:58:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000336
            [max_drawdown] => 0.000664
            [rr_ratio] => 0.51
            [high] => 0.02216400
            [low] => 0.02116400
            [mfe_pct] => 1.56
            [mae_pct] => 3.09
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 84
            [start_at] => 2025-10-28T06:58:17-04:00
            [end_at] => 2025-10-28T13:58:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02154700
            [high_after] => 0.02216400
            [low_before] => 0.02111800
            [low_after] => 0.02116400
            [is_new_high] => 
            [is_new_low] => 
        )

)