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Short Trade on MERL

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Short Trade on MERL 30 Nov 2025 at 14:47:10

Take profit at 0.3354 (1.47 %) and Stop Loss at 0.3429 (0.73 %)

Short Trade on MERL

The 30 Nov 2025 at 14:47:10

With 3190.0384 MERL at 0.3404$ per unit.

Position size of 1085.8891 $

Take profit at 0.3354 (1.47 %) and Stop Loss at 0.3429 (0.73 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.49
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.67
Prediction 3 Probability
1 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.25504

15m : 0.168168

1H : 0.093476

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001671871192
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.339654
  4. ema21 : 0.345687
  5. ema50 : 0.348807
  6. ema100 : 0.35421
  7. price_ema9_diff : 0.0021951
  8. ema9_ema21_diff : -0.0174535
  9. ema21_ema50_diff : -0.00894329
  10. price_ema100_diff : -0.0389902
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.462978
  14. ema_slope_21 : -0.28927
  15. ema_slope_50 : -0.114125
  16. ema_slope_100 : -0.0811044
  17. rsi : 0.435898
  18. adx : 0.205057
  19. kc_percentage : 0.338711
  20. kc_width_percentage : 0.0905182
  21. volume_ema_diff : -0.656406
  22. volume_ema1 : 190267.70788338
  23. volume_ema2 : 553758.79851709
  24. chop : 44.796
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.33714
  28. ema21 : 0.336871
  29. ema50 : 0.34158
  30. ema100 : 0.345825
  31. price_ema9_diff : 0.00966827
  32. ema9_ema21_diff : 0.000799627
  33. ema21_ema50_diff : -0.0137884
  34. price_ema100_diff : -0.0156897
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0915124
  38. ema_slope_21 : -0.0180501
  39. ema_slope_50 : -0.0809725
  40. ema_slope_100 : -0.0636957
  41. rsi : 0.5637
  42. adx : 0.278501
  43. kc_percentage : 0.768073
  44. kc_width_percentage : 0.0397988
  45. volume_ema_diff : -0.632448
  46. volume_ema1 : 20301.155196254
  47. volume_ema2 : 55233.525230056
  48. chop : 59.0541
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.338352
  52. ema21 : 0.336965
  53. ema50 : 0.336104
  54. ema100 : 0.337859
  55. price_ema9_diff : 0.00605094
  56. ema9_ema21_diff : 0.00411628
  57. ema21_ema50_diff : 0.00256121
  58. price_ema100_diff : 0.00751986
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.105508
  62. ema_slope_21 : 0.076688
  63. ema_slope_50 : 0.0338031
  64. ema_slope_100 : 0.0028033
  65. rsi : 0.658928
  66. adx : 0.308405
  67. kc_percentage : 1.02499
  68. kc_width_percentage : 0.0187191
  69. volume_ema_diff : -0.759073
  70. volume_ema1 : 3655.6163547236
  71. volume_ema2 : 15173.182117104
  72. chop : 39.0447
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91381.8
  77. 5m_price_ema100_diff: 
    0.000466842
  78. 5m_price: 
    91424.5
  79. 5m_correlation_with_coin: 
    0.25504
  80. btc_indicators
  81. 15m_ema100: 
    91152.5
  82. 15m_price_ema100_diff: 
    0.00298311
  83. 15m_price: 
    91424.5
  84. 15m_correlation_with_coin: 
    0.168168
  85. btc_indicators
  86. 1H_ema100: 
    90596.2
  87. 1H_price_ema100_diff: 
    0.00914184
  88. 1H_price: 
    91424.5
  89. 1H_correlation_with_coin: 
    0.093476
    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] => 2025-11-27 12:00:00
                    [1] => 0.3191
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-27 21:00:00
                    [1] => 0.2813
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 0.3374
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-28 06:00:00
                    [1] => 0.2986
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-28 13:00:00
                    [1] => 0.3956
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-28 22:00:00
                    [1] => 0.3449
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-29 05:00:00
                    [1] => 0.3392
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-29 14:00:00
                    [1] => 0.3423
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-29 20:00:00
                    [1] => 0.3803
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-30 10:00:00
                    [1] => 0.3218
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -10.518012095714
            [ms_dist_from_last_low_pct] => 5.7489123679304
            [ms_bars_since_swing_high] => 18
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 18.178993163456
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-11-29 14:30:00
                    [1] => 0.3423
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-29 18:00:00
                    [1] => 0.3759
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-29 20:45:00
                    [1] => 0.3803
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-30 05:00:00
                    [1] => 0.3574
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-30 07:00:00
                    [1] => 0.343
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-30 08:30:00
                    [1] => 0.348
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-30 10:45:00
                    [1] => 0.3218
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-30 11:00:00
                    [1] => 0.3371
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-30 13:00:00
                    [1] => 0.3309
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 14:00:00
                    [1] => 0.3427
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.70032098044938
            [ms_dist_from_last_low_pct] => 2.8407373828951
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 3.5660320338471
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-11-30 11:10:00
                    [1] => 0.3371
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-30 11:35:00
                    [1] => 0.3321
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-30 11:50:00
                    [1] => 0.3364
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-30 12:10:00
                    [1] => 0.3323
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-30 12:15:00
                    [1] => 0.3364
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-30 12:45:00
                    [1] => 0.3366
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-30 13:00:00
                    [1] => 0.3309
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-30 14:00:00
                    [1] => 0.3427
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-30 14:20:00
                    [1] => 0.3361
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 14:45:00
                    [1] => 0.341
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.20527859237538
            [ms_dist_from_last_low_pct] => 1.2496280868789
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.4578994346921
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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
-0.21%
Dist From Last Low Pct
1.25%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.46%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
0.06%
TP to Pivot Distance
0.0045
1.34%
DateTime Price Type
2025-11-30 11:10:00 0.3371 ↑ High
2025-11-30 11:35:00 0.3321 ↓ Low
2025-11-30 11:50:00 0.3364 ↑ High
2025-11-30 12:10:00 0.3323 ↓ Low
2025-11-30 12:15:00 0.3364 ↑ High
2025-11-30 12:45:00 0.3366 ↑ High
2025-11-30 13:00:00 0.3309 ↓ Low
2025-11-30 14:00:00 0.3427 ↑ High
2025-11-30 14:20:00 0.3361 ↓ Low
2025-11-30 14:45:00 0.341 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.70%
Dist From Last Low Pct
2.84%
Bars Since Swing High
3 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
3.57%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0374
10.91%
TP to Pivot Distance
0.0136
4.05%
DateTime Price Type
2025-11-29 14:30:00 0.3423 ↓ Low
2025-11-29 18:00:00 0.3759 ↑ High
2025-11-29 20:45:00 0.3803 ↑ High
2025-11-30 05:00:00 0.3574 ↑ High
2025-11-30 07:00:00 0.343 ↓ Low
2025-11-30 08:30:00 0.348 ↑ High
2025-11-30 10:45:00 0.3218 ↓ Low
2025-11-30 11:00:00 0.3371 ↑ High
2025-11-30 13:00:00 0.3309 ↓ Low
2025-11-30 14:00:00 0.3427 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-10.52%
Dist From Last Low Pct
5.75%
Bars Since Swing High
18 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
18.18%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0527
15.37%
TP to Pivot Distance
0.0541
16.13%
DateTime Price Type
2025-11-27 12:00:00 0.3191 ↑ High
2025-11-27 21:00:00 0.2813 ↓ Low
2025-11-28 03:00:00 0.3374 ↑ High
2025-11-28 06:00:00 0.2986 ↓ Low
2025-11-28 13:00:00 0.3956 ↑ High
2025-11-28 22:00:00 0.3449 ↓ Low
2025-11-29 05:00:00 0.3392 ↓ Low
2025-11-29 14:00:00 0.3423 ↓ Low
2025-11-29 20:00:00 0.3803 ↑ High
2025-11-30 10:00:00 0.3218 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Nov 2025
14:47:10		 30 Nov 2025
15:10:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3404 0.3429 0.3354 2 0.04373
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 0.3404
  • Stop Loss: 0.3429
  • Take Profit: 0.3354

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3429 - 0.3404 = 0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3404 - 0.3354 = 0.005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.005 / 0.0025 = 2

📌 Position Size

Amount Margin Quantity Leverage
1085.8891 100 3190.0384 10.86
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 0.0025

Taille de position = 8 / 0.0025 = 3200

Taille de position USD = 3200 x 0.3404 = 1089.28

Donc, tu peux acheter 3200 avec un stoploss a 0.3429

Avec un position size USD de 1089.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3200 x 0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3200 x 0.005 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3200
  • Taille de position USD 1089.28
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.47 % 15.95 $
SL % Target SL $ Target
0.73 % 7.98 $
PNL PNL %
-7.98 $ -0.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.087 % 148.01 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3354
            [entry_price] => 0.3404
            [stop_loss] => 0.34315
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-30 15:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3354
            [entry_price] => 0.3404
            [stop_loss] => 0.3434
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-30 15:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3354
            [entry_price] => 0.3404
            [stop_loss] => 0.34365
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-30 15:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3354
            [entry_price] => 0.3404
            [stop_loss] => 0.34415
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-30 15:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0056
            [rr_ratio] => 0.32
            [high] => 0.34600000
            [low] => 0.33860000
            [mfe_pct] => 0.53
            [mae_pct] => 1.65
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-11-30T14:47:10-05:00
            [end_at] => 2025-11-30T16:47:10-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0049
            [max_drawdown] => 0.0127
            [rr_ratio] => 0.39
            [high] => 0.35310000
            [low] => 0.33550000
            [mfe_pct] => 1.44
            [mae_pct] => 3.73
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 84
            [start_at] => 2025-11-30T14:47:10-05:00
            [end_at] => 2025-11-30T21:47:10-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.34270000
            [high_after] => 0.35310000
            [low_before] => 0.32180000
            [low_after] => 0.33740000
            [is_new_high] => 
            [is_new_low] => 
        )

)