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Short Trade on ENS

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Short Trade on ENS 30 Oct 2025 at 03:36:33

Take profit at 15.3802 (1.07 %) and Stop Loss at 15.6304 (0.54 %)

Short Trade on ENS

The 30 Oct 2025 at 03:36:33

With 95.9267 ENS at 15.547$ per unit.

Position size of 1491.3723 $

Take profit at 15.3802 (1.07 %) and Stop Loss at 15.6304 (0.54 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.54
Prediction 3 Probability
1 0.89
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.863405

15m : -0.070174

1H : 0.002875

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.05559801034
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 15.5106
  4. ema21 : 15.5811
  5. ema50 : 15.6741
  6. ema100 : 15.7177
  7. price_ema9_diff : 0.00234198
  8. ema9_ema21_diff : -0.00452334
  9. ema21_ema50_diff : -0.00593512
  10. price_ema100_diff : -0.0108616
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0976088
  14. ema_slope_21 : -0.0504949
  15. ema_slope_50 : -0.0372297
  16. ema_slope_100 : -0.0213067
  17. rsi : 0.483512
  18. adx : 0.291038
  19. kc_percentage : 0.468457
  20. kc_width_percentage : 0.0612678
  21. volume_ema_diff : -0.22302
  22. volume_ema1 : 148411.01251928
  23. volume_ema2 : 191010.13768632
  24. chop : 44.8587
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 15.4379
  28. ema21 : 15.4436
  29. ema50 : 15.5203
  30. ema100 : 15.5697
  31. price_ema9_diff : 0.00706505
  32. ema9_ema21_diff : -0.000367413
  33. ema21_ema50_diff : -0.00494331
  34. price_ema100_diff : -0.00146332
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00713816
  38. ema_slope_21 : -0.0441053
  39. ema_slope_50 : -0.0434705
  40. ema_slope_100 : -0.027188
  41. rsi : 0.529411
  42. adx : 0.281529
  43. kc_percentage : 0.73147
  44. kc_width_percentage : 0.0294984
  45. volume_ema_diff : -0.665673
  46. volume_ema1 : 17350.034530803
  47. volume_ema2 : 51895.473042317
  48. chop : 45.2757
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 15.4872
  52. ema21 : 15.4363
  53. ema50 : 15.4251
  54. ema100 : 15.4697
  55. price_ema9_diff : 0.00385583
  56. ema9_ema21_diff : 0.00330006
  57. ema21_ema50_diff : 0.000727525
  58. price_ema100_diff : 0.00499362
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0765872
  62. ema_slope_21 : 0.0488141
  63. ema_slope_50 : 0.014743
  64. ema_slope_100 : -0.000534207
  65. rsi : 0.632471
  66. adx : 0.201004
  67. kc_percentage : 1.01648
  68. kc_width_percentage : 0.0134529
  69. volume_ema_diff : -0.50941
  70. volume_ema1 : 6466.2620956473
  71. volume_ema2 : 13180.599555665
  72. chop : 46.2489
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110273
  77. 5m_price_ema100_diff: 
    0.00805433
  78. 5m_price: 
    111162
  79. 5m_correlation_with_coin: 
    0.863405
  80. btc_indicators
  81. 15m_ema100: 
    111226
  82. 15m_price_ema100_diff: 
    -0.000696821
  83. 15m_price: 
    111149
  84. 15m_correlation_with_coin: 
    -0.070174
  85. btc_indicators
  86. 1H_ema100: 
    112578
  87. 1H_price_ema100_diff: 
    -0.0125779
  88. 1H_price: 
    111162
  89. 1H_correlation_with_coin: 
    0.002875
    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] => 2025-10-27 01:00:00
                    [1] => 16.717
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-27 10:00:00
                    [1] => 15.864
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-27 14:00:00
                    [1] => 16.414
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 15.687
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 16.047
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-28 10:00:00
                    [1] => 16.119
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 15.205
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 15.173
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-29 16:00:00
                    [1] => 15.968
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 15.029
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -2.7742985971944
            [ms_dist_from_last_low_pct] => 3.3002861135139
            [ms_bars_since_swing_high] => 11
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 6.2479206866724
            [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] => 2025-10-29 05:00:00
                    [1] => 15.475
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 09:30:00
                    [1] => 15.894
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 12:00:00
                    [1] => 15.443
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 15.927
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-29 14:30:00
                    [1] => 15.173
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 16:30:00
                    [1] => 15.968
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 15.435
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 15.695
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 15.029
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 03:30:00
                    [1] => 15.558
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.21210952564597
            [ms_dist_from_last_low_pct] => 3.3002861135139
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 3.5198616009049
            [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] => 2025-10-29 20:50:00
                    [1] => 15.608
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 21:05:00
                    [1] => 15.479
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 15.695
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 23:00:00
                    [1] => 15.607
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 23:15:00
                    [1] => 15.68
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 00:25:00
                    [1] => 15.029
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 01:25:00
                    [1] => 15.149
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 01:50:00
                    [1] => 15.475
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 02:25:00
                    [1] => 15.295
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 03:30:00
                    [1] => 15.558
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.21210952564597
            [ms_dist_from_last_low_pct] => 1.5037593984962
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 1.7195161817587
            [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
-0.21%
Dist From Last Low Pct
1.50%
Bars Since Swing High
1 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
1.72%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0646
0.41%
TP to Pivot Distance
0.3512
2.28%
DateTime Price Type
2025-10-29 20:50:00 15.608 ↑ High
2025-10-29 21:05:00 15.479 ↓ Low
2025-10-29 22:30:00 15.695 ↑ High
2025-10-29 23:00:00 15.607 ↓ Low
2025-10-29 23:15:00 15.68 ↑ High
2025-10-30 00:25:00 15.029 ↓ Low
2025-10-30 01:25:00 15.149 ↓ Low
2025-10-30 01:50:00 15.475 ↑ High
2025-10-30 02:25:00 15.295 ↓ Low
2025-10-30 03:30:00 15.558 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.21%
Dist From Last Low Pct
3.30%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
3.52%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.3376
2.16%
TP to Pivot Distance
0.3512
2.28%
DateTime Price Type
2025-10-29 05:00:00 15.475 ↓ Low
2025-10-29 09:30:00 15.894 ↑ High
2025-10-29 12:00:00 15.443 ↓ Low
2025-10-29 14:00:00 15.927 ↑ High
2025-10-29 14:30:00 15.173 ↓ Low
2025-10-29 16:30:00 15.968 ↑ High
2025-10-29 20:00:00 15.435 ↓ Low
2025-10-29 22:30:00 15.695 ↑ High
2025-10-30 00:15:00 15.029 ↓ Low
2025-10-30 03:30:00 15.558 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-2.77%
Dist From Last Low Pct
3.30%
Bars Since Swing High
11 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
6.25%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
1.0866
6.95%
TP to Pivot Distance
0.3512
2.28%
DateTime Price Type
2025-10-27 01:00:00 16.717 ↑ High
2025-10-27 10:00:00 15.864 ↓ Low
2025-10-27 14:00:00 16.414 ↑ High
2025-10-28 01:00:00 15.687 ↓ Low
2025-10-28 03:00:00 16.047 ↑ High
2025-10-28 10:00:00 16.119 ↑ High
2025-10-28 17:00:00 15.205 ↓ Low
2025-10-29 14:00:00 15.173 ↓ Low
2025-10-29 16:00:00 15.968 ↑ High
2025-10-30 00:00:00 15.029 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Oct 2025
03:36:33		 30 Oct 2025
04:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
15.547 15.6304 15.3802 2 6.211
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 15.547
  • Stop Loss: 15.6304
  • Take Profit: 15.3802

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 15.6304 - 15.547 = 0.083399999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 15.547 - 15.3802 = 0.1668

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1668 / 0.083399999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1491.3723 100 95.9267 14.91
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 0.083399999999999

Taille de position = 8 / 0.083399999999999 = 95.92

Taille de position USD = 95.92 x 15.547 = 1491.27

Donc, tu peux acheter 95.92 avec un stoploss a 15.6304

Avec un position size USD de 1491.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 95.92 x 0.083399999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 95.92 x 0.1668 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 95.92
  • Taille de position USD 1491.27
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.07 % 16 $
SL % Target SL $ Target
0.54 % 8 $
PNL PNL %
16 $ 1.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0836 % 15.59 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 15.3802
            [stop_loss] => 15.6304
            [rr_ratio] => 2
            [closed_at] => 2025-10-30 04:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 15.3385
            [stop_loss] => 15.6304
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-30 05:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 15.2968
            [stop_loss] => 15.6304
            [rr_ratio] => 3
            [closed_at] => 2025-10-30 05:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 15.2551
            [stop_loss] => 15.6304
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-30 06:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 15.2134
            [stop_loss] => 15.6304
            [rr_ratio] => 4
            [closed_at] => 2025-10-30 06:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 15.1717
            [stop_loss] => 15.6304
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-30 07:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 15.13
            [stop_loss] => 15.6304
            [rr_ratio] => 5
            [closed_at] => 2025-10-30 08:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 15.0883
            [stop_loss] => 15.6304
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-30 08:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 15.0466
            [stop_loss] => 15.6304
            [rr_ratio] => 6
            [closed_at] => 2025-10-30 08:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 15.0049
            [stop_loss] => 15.6304
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-30 08:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 14.9632
            [stop_loss] => 15.6304
            [rr_ratio] => 7
            [closed_at] => 2025-10-30 08:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.284
            [max_drawdown] => 0.013
            [rr_ratio] => 21.85
            [high] => 15.56000000
            [low] => 15.26300000
            [mfe_pct] => 1.83
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 21.85
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T03:36:33-04:00
            [end_at] => 2025-10-30T05:36:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.95
            [max_drawdown] => 0.013
            [rr_ratio] => 73.08
            [high] => 15.56000000
            [low] => 14.59700000
            [mfe_pct] => 6.11
            [mae_pct] => 0.08
            [mfe_mae_ratio] => 73.08
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T03:36:33-04:00
            [end_at] => 2025-10-30T10:36:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 15.62400000
            [high_after] => 15.56000000
            [low_before] => 15.02900000
            [low_after] => 14.63200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)