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Short Trade on MERL

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Short Trade on MERL 01 Nov 2025 at 01:36:58

Take profit at 0.3251 (0.67 %) and Stop Loss at 0.3284 (0.34 %)

Short Trade on MERL

The 01 Nov 2025 at 01:36:58

With 7148.4378 MERL at 0.3273$ per unit.

Position size of 2339.6837 $

Take profit at 0.3251 (0.67 %) and Stop Loss at 0.3284 (0.34 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.71
Prediction 3 Probability
1 0.6
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.027235

15m : -0.012933

1H : -0.014529

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0007460837562
Details
  1. score: 1.2
  2. 1H
  3. ema9 : 0.326344
  4. ema21 : 0.328509
  5. ema50 : 0.332179
  6. ema100 : 0.337079
  7. price_ema9_diff : 0.00292675
  8. ema9_ema21_diff : -0.00658869
  9. ema21_ema50_diff : -0.011049
  10. price_ema100_diff : -0.0290131
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.08991
  14. ema_slope_21 : -0.0968704
  15. ema_slope_50 : -0.0774259
  16. ema_slope_100 : -0.0650835
  17. rsi : 0.468565
  18. adx : 0.155766
  19. kc_percentage : 0.441878
  20. kc_width_percentage : 0.0546
  21. volume_ema_diff : -0.61994
  22. volume_ema1 : 76931.701598975
  23. volume_ema2 : 202420.04805412
  24. chop : 49.4972
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.325232
  28. ema21 : 0.325371
  29. ema50 : 0.326888
  30. ema100 : 0.329144
  31. price_ema9_diff : 0.00635656
  32. ema9_ema21_diff : -0.000425971
  33. ema21_ema50_diff : -0.00464105
  34. price_ema100_diff : -0.00560364
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00855313
  38. ema_slope_21 : -0.0198147
  39. ema_slope_50 : -0.0308727
  40. ema_slope_100 : -0.0291448
  41. rsi : 0.547765
  42. adx : 0.156762
  43. kc_percentage : 0.840591
  44. kc_width_percentage : 0.0176834
  45. volume_ema_diff : -0.582235
  46. volume_ema1 : 13976.676254152
  47. volume_ema2 : 33455.894346931
  48. chop : 68.9299
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.325872
  52. ema21 : 0.325219
  53. ema50 : 0.325099
  54. ema100 : 0.325748
  55. price_ema9_diff : 0.00438042
  56. ema9_ema21_diff : 0.00200936
  57. ema21_ema50_diff : 0.000368068
  58. price_ema100_diff : 0.00476347
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0474185
  62. ema_slope_21 : 0.0255099
  63. ema_slope_50 : 0.00691271
  64. ema_slope_100 : -0.00182987
  65. rsi : 0.693439
  66. adx : 0.213737
  67. kc_percentage : 1.19639
  68. kc_width_percentage : 0.00900123
  69. volume_ema_diff : -0.421803
  70. volume_ema1 : 3727.6714607083
  71. volume_ema2 : 6447.0641612796
  72. chop : 40.0656
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109857
  77. 5m_price_ema100_diff: 
    0.00289311
  78. 5m_price: 
    110175
  79. 5m_correlation_with_coin: 
    0.027235
  80. btc_indicators
  81. 15m_ema100: 
    109805
  82. 15m_price_ema100_diff: 
    0.00313602
  83. 15m_price: 
    110149
  84. 15m_correlation_with_coin: 
    -0.012933
  85. btc_indicators
  86. 1H_ema100: 
    110737
  87. 1H_price_ema100_diff: 
    -0.00507642
  88. 1H_price: 
    110175
  89. 1H_correlation_with_coin: 
    -0.014529
    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] => 2025-10-29 08:00:00
                    [1] => 0.3471
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 11:00:00
                    [1] => 0.3173
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 0.3485
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-30 11:00:00
                    [1] => 0.3269
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 17:00:00
                    [1] => 0.3466
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 05:00:00
                    [1] => 0.3251
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 08:00:00
                    [1] => 0.3353
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 13:00:00
                    [1] => 0.3218
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-31 14:00:00
                    [1] => 0.3436
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-01 00:00:00
                    [1] => 0.3227
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -5.0640279394645
            [ms_dist_from_last_low_pct] => 1.0845986984816
            [ms_bars_since_swing_high] => 11
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 6.476603656647
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2025-10-31 13:15:00
                    [1] => 0.3218
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-31 14:30:00
                    [1] => 0.3436
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-31 17:00:00
                    [1] => 0.3264
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-31 17:45:00
                    [1] => 0.3314
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-31 19:00:00
                    [1] => 0.3251
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-31 20:00:00
                    [1] => 0.3293
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-31 20:45:00
                    [1] => 0.3228
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-31 22:15:00
                    [1] => 0.3233
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-01 00:00:00
                    [1] => 0.3227
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-01 01:30:00
                    [1] => 0.3273
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.33608310418576
            [ms_dist_from_last_low_pct] => 1.0845986984816
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 1.4254725751472
            [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] => 2025-10-31 19:30:00
                    [1] => 0.3275
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-31 19:55:00
                    [1] => 0.3255
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-31 20:05:00
                    [1] => 0.3293
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-31 20:55:00
                    [1] => 0.3228
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-31 21:30:00
                    [1] => 0.3263
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-31 22:15:00
                    [1] => 0.3233
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-31 23:00:00
                    [1] => 0.3257
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-31 23:35:00
                    [1] => 0.3256
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-01 00:00:00
                    [1] => 0.3227
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-01 01:35:00
                    [1] => 0.3273
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.33608310418576
            [ms_dist_from_last_low_pct] => 1.0845986984816
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 19
            [ms_last_swing_amplitude_pct] => 1.4254725751472
            [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
-0.34%
Dist From Last Low Pct
1.08%
Bars Since Swing High
0 bars
Bars Since Swing Low
19 bars
Last Swing Amplitude Pct
1.43%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0009
0.27%
TP to Pivot Distance
0.0024
0.74%
DateTime Price Type
2025-10-31 19:30:00 0.3275 ↑ High
2025-10-31 19:55:00 0.3255 ↓ Low
2025-10-31 20:05:00 0.3293 ↑ High
2025-10-31 20:55:00 0.3228 ↓ Low
2025-10-31 21:30:00 0.3263 ↑ High
2025-10-31 22:15:00 0.3233 ↓ Low
2025-10-31 23:00:00 0.3257 ↑ High
2025-10-31 23:35:00 0.3256 ↑ High
2025-11-01 00:00:00 0.3227 ↓ Low
2025-11-01 01:35:00 0.3273 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.34%
Dist From Last Low Pct
1.08%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
1.43%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0152
4.63%
TP to Pivot Distance
0.0033
1.02%
DateTime Price Type
2025-10-31 13:15:00 0.3218 ↓ Low
2025-10-31 14:30:00 0.3436 ↑ High
2025-10-31 17:00:00 0.3264 ↓ Low
2025-10-31 17:45:00 0.3314 ↑ High
2025-10-31 19:00:00 0.3251 ↓ Low
2025-10-31 20:00:00 0.3293 ↑ High
2025-10-31 20:45:00 0.3228 ↓ Low
2025-10-31 22:15:00 0.3233 ↓ Low
2025-11-01 00:00:00 0.3227 ↓ Low
2025-11-01 01:30:00 0.3273 ↑ High
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-5.06%
Dist From Last Low Pct
1.08%
Bars Since Swing High
11 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
6.48%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0201
6.12%
TP to Pivot Distance
0.0078
2.40%
DateTime Price Type
2025-10-29 08:00:00 0.3471 ↑ High
2025-10-29 11:00:00 0.3173 ↓ Low
2025-10-29 20:00:00 0.3485 ↑ High
2025-10-30 11:00:00 0.3269 ↓ Low
2025-10-30 17:00:00 0.3466 ↑ High
2025-10-31 05:00:00 0.3251 ↓ Low
2025-10-31 08:00:00 0.3353 ↑ High
2025-10-31 13:00:00 0.3218 ↓ Low
2025-10-31 14:00:00 0.3436 ↑ High
2025-11-01 00:00:00 0.3227 ↓ Low

📌 Time Data

Start at Closed at Duration
01 Nov 2025
01:36:58		 01 Nov 2025
01:45:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3273 0.3284 0.3251 2 0.0439
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 0.3273
  • Stop Loss: 0.3284
  • Take Profit: 0.3251

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3284 - 0.3273 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3273 - 0.3251 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
2339.6837 100 7148.4378 23.40
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.3273 = 2380.36

Donc, tu peux acheter 7272.73 avec un stoploss a 0.3284

Avec un position size USD de 2380.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 2380.36
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.67 % 15.73 $
SL % Target SL $ Target
0.34 % 7.86 $
PNL PNL %
15.73 $ 0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3251
            [stop_loss] => 0.3284
            [rr_ratio] => 2
            [closed_at] => 2025-11-01 01:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.32455
            [stop_loss] => 0.3284
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-01 01:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.324
            [stop_loss] => 0.3284
            [rr_ratio] => 3
            [closed_at] => 2025-11-01 01:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.32345
            [stop_loss] => 0.3284
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-01 01:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3229
            [stop_loss] => 0.3284
            [rr_ratio] => 4
            [closed_at] => 2025-11-01 02:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.32235
            [stop_loss] => 0.3284
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-01 05:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3218
            [stop_loss] => 0.3284
            [rr_ratio] => 5
            [closed_at] => 2025-11-01 05:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.32125
            [stop_loss] => 0.3284
            [rr_ratio] => 5.5
            [closed_at] => 2025-11-01 05:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3207
            [stop_loss] => 0.3284
            [rr_ratio] => 6
            [closed_at] => 2025-11-01 05:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.32015
            [stop_loss] => 0.3284
            [rr_ratio] => 6.5
            [closed_at] => 2025-11-01 05:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0045
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.32620000
            [low] => 0.32280000
            [mfe_pct] => 1.37
            [mae_pct] => -0.34
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-11-01T01:36:58-04:00
            [end_at] => 2025-11-01T03:36:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0082
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.32620000
            [low] => 0.31910000
            [mfe_pct] => 2.51
            [mae_pct] => -0.34
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-11-01T01:36:58-04:00
            [end_at] => 2025-11-01T08:36:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32730000
            [high_after] => 0.32620000
            [low_before] => 0.32270000
            [low_after] => 0.32010000
            [is_new_high] => 
            [is_new_low] => 1
        )

)