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Short Trade on MERL

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Short Trade on MERL 29 Oct 2025 at 06:56:59

Take profit at 0.3281 (1.17 %) and Stop Loss at 0.334 (0.6 %)

Short Trade on MERL

The 29 Oct 2025 at 06:56:59

With 4052.3033 MERL at 0.332$ per unit.

Position size of 1345.3647 $

Take profit at 0.3281 (1.17 %) and Stop Loss at 0.334 (0.6 %)

That's a 1.95 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.68
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.64
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bull_high

5m_regime : bull_medium
BTC Correlation Score

5m : -0.023972

15m : 0.083858

1H : -0.082507

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.00131612394
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.328068
  4. ema21 : 0.332693
  5. ema50 : 0.352605
  6. ema100 : 0.370294
  7. price_ema9_diff : 0.0119828
  8. ema9_ema21_diff : -0.013901
  9. ema21_ema50_diff : -0.0564706
  10. price_ema100_diff : -0.103417
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.0846678
  14. ema_slope_21 : -0.287485
  15. ema_slope_50 : -0.364739
  16. ema_slope_100 : -0.261224
  17. rsi : 0.460147
  18. adx : 0.344874
  19. kc_percentage : 0.498991
  20. kc_width_percentage : 0.107617
  21. volume_ema_diff : -0.621197
  22. volume_ema1 : 152514.89624748
  23. volume_ema2 : 402624.28372715
  24. chop : 53.4517
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.329205
  28. ema21 : 0.328106
  29. ema50 : 0.327556
  30. ema100 : 0.333411
  31. price_ema9_diff : 0.00848943
  32. ema9_ema21_diff : 0.00334935
  33. ema21_ema50_diff : 0.00167987
  34. price_ema100_diff : -0.00423472
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : True
  37. ema_slope_9 : 0.00877875
  38. ema_slope_21 : 0.0213068
  39. ema_slope_50 : 0.00971762
  40. ema_slope_100 : -0.0361186
  41. rsi : 0.644017
  42. adx : 0.149446
  43. kc_percentage : 0.888015
  44. kc_width_percentage : 0.0295364
  45. volume_ema_diff : -0.789869
  46. volume_ema1 : 17469.438048525
  47. volume_ema2 : 83136.281941108
  48. chop : 63.7437
  49. regime : bull_high
    50. ¸
  50. 5m
  51. ema9 : 0.33045
  52. ema21 : 0.329205
  53. ema50 : 0.328535
  54. ema100 : 0.328387
  55. price_ema9_diff : 0.00468983
  56. ema9_ema21_diff : 0.00378241
  57. ema21_ema50_diff : 0.00203809
  58. price_ema100_diff : 0.0109997
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0677209
  62. ema_slope_21 : 0.0401938
  63. ema_slope_50 : 0.0166825
  64. ema_slope_100 : 0.007491
  65. rsi : 0.675183
  66. adx : 0.415519
  67. kc_percentage : 1.02316
  68. kc_width_percentage : 0.0157454
  69. volume_ema_diff : -0.392388
  70. volume_ema1 : 6102.331542656
  71. volume_ema2 : 10043.151060725
  72. chop : 39.4157
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112924
  77. 5m_price_ema100_diff: 
    -0.000778728
  78. 5m_price: 
    112836
  79. 5m_correlation_with_coin: 
    -0.023972
  80. btc_indicators
  81. 15m_ema100: 
    113398
  82. 15m_price_ema100_diff: 
    -0.00403152
  83. 15m_price: 
    112941
  84. 15m_correlation_with_coin: 
    0.083858
  85. btc_indicators
  86. 1H_ema100: 
    113390
  87. 1H_price_ema100_diff: 
    -0.00488637
  88. 1H_price: 
    112836
  89. 1H_correlation_with_coin: 
    -0.082507
    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 04:00:00
                    [1] => 0.3818
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-25 07:00:00
                    [1] => 0.4234
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-25 10:00:00
                    [1] => 0.3824
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-25 18:00:00
                    [1] => 0.3858
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-25 23:00:00
                    [1] => 0.4234
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-26 15:00:00
                    [1] => 0.4444
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-27 20:00:00
                    [1] => 0.3464
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.3778
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-28 14:00:00
                    [1] => 0.2757
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 01:00:00
                    [1] => 0.3341
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.68841664172404
            [ms_dist_from_last_low_pct] => 20.348204570185
            [ms_bars_since_swing_high] => 5
            [ms_bars_since_swing_low] => 16
            [ms_last_swing_amplitude_pct] => 21.182444686253
            [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] => 2025-10-28 14:45:00
                    [1] => 0.2757
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 16:15:00
                    [1] => 0.3198
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 17:15:00
                    [1] => 0.2957
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 18:45:00
                    [1] => 0.3141
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 20:00:00
                    [1] => 0.3045
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-28 22:45:00
                    [1] => 0.3328
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 00:00:00
                    [1] => 0.3218
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 01:45:00
                    [1] => 0.3341
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 04:00:00
                    [1] => 0.3252
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 06:45:00
                    [1] => 0.3333
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.45004500450045
            [ms_dist_from_last_low_pct] => 2.029520295203
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 2.4907749077491
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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 00:00:00
                    [1] => 0.3218
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 01:55:00
                    [1] => 0.3341
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 02:10:00
                    [1] => 0.3269
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 02:45:00
                    [1] => 0.3275
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-29 03:00:00
                    [1] => 0.3328
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-29 04:10:00
                    [1] => 0.3252
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-29 05:00:00
                    [1] => 0.3292
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-29 05:30:00
                    [1] => 0.3295
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 06:05:00
                    [1] => 0.327
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-29 06:45:00
                    [1] => 0.3333
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.45004500450045
            [ms_dist_from_last_low_pct] => 1.4678899082569
            [ms_bars_since_swing_high] => 2
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 1.9266055045871
            [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
-0.45%
Dist From Last Low Pct
1.47%
Bars Since Swing High
2 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
1.93%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.03%
TP to Pivot Distance
0.0063
1.92%
DateTime Price Type
2025-10-29 00:00:00 0.3218 ↓ Low
2025-10-29 01:55:00 0.3341 ↑ High
2025-10-29 02:10:00 0.3269 ↓ Low
2025-10-29 02:45:00 0.3275 ↓ Low
2025-10-29 03:00:00 0.3328 ↑ High
2025-10-29 04:10:00 0.3252 ↓ Low
2025-10-29 05:00:00 0.3292 ↑ High
2025-10-29 05:30:00 0.3295 ↑ High
2025-10-29 06:05:00 0.327 ↓ Low
2025-10-29 06:45:00 0.3333 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.45%
Dist From Last Low Pct
2.03%
Bars Since Swing High
0 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
2.49%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.03%
TP to Pivot Distance
0.0524
15.97%
DateTime Price Type
2025-10-28 14:45:00 0.2757 ↓ Low
2025-10-28 16:15:00 0.3198 ↑ High
2025-10-28 17:15:00 0.2957 ↓ Low
2025-10-28 18:45:00 0.3141 ↑ High
2025-10-28 20:00:00 0.3045 ↓ Low
2025-10-28 22:45:00 0.3328 ↑ High
2025-10-29 00:00:00 0.3218 ↓ Low
2025-10-29 01:45:00 0.3341 ↑ High
2025-10-29 04:00:00 0.3252 ↓ Low
2025-10-29 06:45:00 0.3333 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.69%
Dist From Last Low Pct
20.35%
Bars Since Swing High
5 bars
Bars Since Swing Low
16 bars
Last Swing Amplitude Pct
21.18%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.1104
33.05%
TP to Pivot Distance
0.0524
15.97%
DateTime Price Type
2025-10-25 04:00:00 0.3818 ↓ Low
2025-10-25 07:00:00 0.4234 ↑ High
2025-10-25 10:00:00 0.3824 ↓ Low
2025-10-25 18:00:00 0.3858 ↓ Low
2025-10-25 23:00:00 0.4234 ↑ High
2025-10-26 15:00:00 0.4444 ↑ High
2025-10-27 20:00:00 0.3464 ↓ Low
2025-10-28 09:00:00 0.3778 ↑ High
2025-10-28 14:00:00 0.2757 ↓ Low
2025-10-29 01:00:00 0.3341 ↑ High

📌 Time Data

Start at Closed at Duration
29 Oct 2025
06:56:59		 29 Oct 2025
07:10:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.332 0.334 0.3281 1.95 0.0449
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 0.332
  • Stop Loss: 0.334
  • Take Profit: 0.3281

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.334 - 0.332 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.332 - 0.3281 = 0.0039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0039 / 0.002 = 1.95

📌 Position Size

Amount Margin Quantity Leverage
1345.3647 100 4052.3033 13.45
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.332 = 1328

Donc, tu peux acheter 4000 avec un stoploss a 0.334

Avec un position size USD de 1328$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0039 = 15.6

Si Take Profit atteint, tu gagneras 15.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 1328
  • Perte potentielle 8
  • Gain potentiel 15.6
  • Risk-Reward Ratio 1.95

📌 Peformances

TP % Target TP $ Target
1.17 % 15.8 $
SL % Target SL $ Target
0.6 % 8.1 $
PNL PNL %
-8.1 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6867 % 280 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3281
            [entry_price] => 0.332
            [stop_loss] => 0.3342
            [rr_ratio] => 1.77
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-29 07:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3281
            [entry_price] => 0.332
            [stop_loss] => 0.3344
            [rr_ratio] => 1.63
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-29 07:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3281
            [entry_price] => 0.332
            [stop_loss] => 0.3346
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-29 07:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3281
            [entry_price] => 0.332
            [stop_loss] => 0.335
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-29 07:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0151
            [rr_ratio] => 0.12
            [high] => 0.34710000
            [low] => 0.33020000
            [mfe_pct] => 0.54
            [mae_pct] => 4.55
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-10-29T06:56:59-04:00
            [end_at] => 2025-10-29T08:56:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0147
            [max_drawdown] => 0.0151
            [rr_ratio] => 0.97
            [high] => 0.34710000
            [low] => 0.31730000
            [mfe_pct] => 4.43
            [mae_pct] => 4.55
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 84
            [start_at] => 2025-10-29T06:56:59-04:00
            [end_at] => 2025-10-29T13:56:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.33330000
            [high_after] => 0.34710000
            [low_before] => 0.32520000
            [low_after] => 0.31730000
            [is_new_high] => 
            [is_new_low] => 1
        )

)