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Short Trade on MERL

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Short Trade on MERL 15 Oct 2025 at 07:10:22

Take profit at 0.3173 (1 %) and Stop Loss at 0.3221 (0.5 %)

Short Trade on MERL

The 15 Oct 2025 at 07:10:22

With 5004.5378 MERL at 0.3205$ per unit.

Position size of 1603.9544 $

Take profit at 0.3173 (1 %) and Stop Loss at 0.3221 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.96
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.300258

15m : 0.110133

1H : 0.027586

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.001065699478
Details
  1. score: 1.29
  2. 1H
  3. ema9 : 0.317298
  4. ema21 : 0.320883
  5. ema50 : 0.330715
  6. ema100 : 0.341283
  7. price_ema9_diff : 0.0100889
  8. ema9_ema21_diff : -0.0111717
  9. ema21_ema50_diff : -0.0297277
  10. price_ema100_diff : -0.060899
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.114534
  14. ema_slope_21 : -0.219463
  15. ema_slope_50 : -0.209567
  16. ema_slope_100 : -0.158407
  17. rsi : 0.470018
  18. adx : 0.224391
  19. kc_percentage : 0.499501
  20. kc_width_percentage : 0.0696314
  21. volume_ema_diff : -0.699508
  22. volume_ema1 : 87702.903956138
  23. volume_ema2 : 291865.05329852
  24. chop : 61.0561
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.31726
  28. ema21 : 0.316723
  29. ema50 : 0.317964
  30. ema100 : 0.320884
  31. price_ema9_diff : 0.0102119
  32. ema9_ema21_diff : 0.00169486
  33. ema21_ema50_diff : -0.00390359
  34. price_ema100_diff : -0.00119928
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0390424
  38. ema_slope_21 : 0.012504
  39. ema_slope_50 : -0.0187737
  40. ema_slope_100 : -0.0289888
  41. rsi : 0.611007
  42. adx : 0.0999757
  43. kc_percentage : 0.913759
  44. kc_width_percentage : 0.0284299
  45. volume_ema_diff : -0.502589
  46. volume_ema1 : 22120.886955721
  47. volume_ema2 : 44472.096934971
  48. chop : 60.3797
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.318079
  52. ema21 : 0.317098
  53. ema50 : 0.316504
  54. ema100 : 0.31638
  55. price_ema9_diff : 0.00760882
  56. ema9_ema21_diff : 0.00309559
  57. ema21_ema50_diff : 0.00187499
  58. price_ema100_diff : 0.013021
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0589445
  62. ema_slope_21 : 0.0352219
  63. ema_slope_50 : 0.0160616
  64. ema_slope_100 : 0.00737806
  65. rsi : 0.729173
  66. adx : 0.167838
  67. kc_percentage : 1.29485
  68. kc_width_percentage : 0.0131668
  69. volume_ema_diff : -0.147198
  70. volume_ema1 : 7382.7866552136
  71. volume_ema2 : 8657.0961599058
  72. chop : 39.5261
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112509
  77. 5m_price_ema100_diff: 
    -0.000490855
  78. 5m_price: 
    112454
  79. 5m_correlation_with_coin: 
    0.300258
  80. btc_indicators
  81. 15m_ema100: 
    112186
  82. 15m_price_ema100_diff: 
    0.00238411
  83. 15m_price: 
    112454
  84. 15m_correlation_with_coin: 
    0.110133
  85. btc_indicators
  86. 1H_ema100: 
    112725
  87. 1H_price_ema100_diff: 
    -0.00240855
  88. 1H_price: 
    112454
  89. 1H_correlation_with_coin: 
    0.027586
    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] => 2025-10-12 13:00:00
                    [1] => 0.3828
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-13 00:00:00
                    [1] => 0.3401
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-13 04:00:00
                    [1] => 0.3563
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-13 09:00:00
                    [1] => 0.3286
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-13 13:00:00
                    [1] => 0.3599
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-14 09:00:00
                    [1] => 0.3254
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-14 12:00:00
                    [1] => 0.3466
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-14 19:00:00
                    [1] => 0.306
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-14 21:00:00
                    [1] => 0.3258
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-15 07:00:00
                    [1] => 0.3206
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.71740486587647
            [ms_dist_from_last_low_pct] => 4.0196078431373
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.621958827199
            [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] => 2025-10-14 12:15:00
                    [1] => 0.3466
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-14 15:45:00
                    [1] => 0.3194
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-14 19:30:00
                    [1] => 0.306
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-14 20:45:00
                    [1] => 0.3258
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-14 23:45:00
                    [1] => 0.3112
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 02:30:00
                    [1] => 0.3193
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-15 03:30:00
                    [1] => 0.314
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-15 04:30:00
                    [1] => 0.32
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-15 05:00:00
                    [1] => 0.3135
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-15 07:00:00
                    [1] => 0.3206
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.71740486587647
            [ms_dist_from_last_low_pct] => 1.5311004784689
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 2.2647527910686
            [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] => 2025-10-15 01:40:00
                    [1] => 0.319
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 02:25:00
                    [1] => 0.3149
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 02:40:00
                    [1] => 0.3193
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 03:40:00
                    [1] => 0.314
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-15 04:30:00
                    [1] => 0.32
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-15 05:00:00
                    [1] => 0.3135
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-15 05:55:00
                    [1] => 0.3145
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-15 06:10:00
                    [1] => 0.3172
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-15 06:30:00
                    [1] => 0.3152
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-15 07:10:00
                    [1] => 0.3206
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.71740486587647
            [ms_dist_from_last_low_pct] => 0.98350253807108
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.7131979695432
            [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
-0.72%
Dist From Last Low Pct
0.98%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.71%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0015
0.47%
TP to Pivot Distance
0.0038
1.20%
DateTime Price Type
2025-10-15 01:40:00 0.319 ↑ High
2025-10-15 02:25:00 0.3149 ↓ Low
2025-10-15 02:40:00 0.3193 ↑ High
2025-10-15 03:40:00 0.314 ↓ Low
2025-10-15 04:30:00 0.32 ↑ High
2025-10-15 05:00:00 0.3135 ↓ Low
2025-10-15 05:55:00 0.3145 ↓ Low
2025-10-15 06:10:00 0.3172 ↑ High
2025-10-15 06:30:00 0.3152 ↓ Low
2025-10-15 07:10:00 0.3206 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.72%
Dist From Last Low Pct
1.53%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
2.26%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0245
7.61%
TP to Pivot Distance
0.0113
3.56%
DateTime Price Type
2025-10-14 12:15:00 0.3466 ↑ High
2025-10-14 15:45:00 0.3194 ↓ Low
2025-10-14 19:30:00 0.306 ↓ Low
2025-10-14 20:45:00 0.3258 ↑ High
2025-10-14 23:45:00 0.3112 ↓ Low
2025-10-15 02:30:00 0.3193 ↑ High
2025-10-15 03:30:00 0.314 ↓ Low
2025-10-15 04:30:00 0.32 ↑ High
2025-10-15 05:00:00 0.3135 ↓ Low
2025-10-15 07:00:00 0.3206 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.72%
Dist From Last Low Pct
4.02%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.62%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0607
18.85%
TP to Pivot Distance
0.0113
3.56%
DateTime Price Type
2025-10-12 13:00:00 0.3828 ↑ High
2025-10-13 00:00:00 0.3401 ↓ Low
2025-10-13 04:00:00 0.3563 ↑ High
2025-10-13 09:00:00 0.3286 ↓ Low
2025-10-13 13:00:00 0.3599 ↑ High
2025-10-14 09:00:00 0.3254 ↓ Low
2025-10-14 12:00:00 0.3466 ↑ High
2025-10-14 19:00:00 0.306 ↓ Low
2025-10-14 21:00:00 0.3258 ↑ High
2025-10-15 07:00:00 0.3206 ↑ High

📌 Time Data

Start at Closed at Duration
15 Oct 2025
07:10:22		 15 Oct 2025
07:20:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3205 0.3221 0.3173 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 0.3205
  • Stop Loss: 0.3221
  • Take Profit: 0.3173

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3221 - 0.3205 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3205 - 0.3173 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0016 = 2

📌 Position Size

Amount Margin Quantity Leverage
1603.9544 100 5004.5378 16.04
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.3205 = 1602.5

Donc, tu peux acheter 5000 avec un stoploss a 0.3221

Avec un position size USD de 1602.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 1602.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 16.01 $
SL % Target SL $ Target
0.5 % 8.01 $
PNL PNL %
-8.01 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4041 % 281.27 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3173
            [entry_price] => 0.3205
            [stop_loss] => 0.32226
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-15 07:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3173
            [entry_price] => 0.3205
            [stop_loss] => 0.32242
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-15 07:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3173
            [entry_price] => 0.3205
            [stop_loss] => 0.32258
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-15 07:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3173
            [entry_price] => 0.3205
            [stop_loss] => 0.3229
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-15 07:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0124
            [rr_ratio] => 0.19
            [high] => 0.33290000
            [low] => 0.31820000
            [mfe_pct] => 0.72
            [mae_pct] => 3.87
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 24
            [start_at] => 2025-10-15T07:10:22-04:00
            [end_at] => 2025-10-15T09:10:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.025
            [max_drawdown] => 0.0187
            [rr_ratio] => 1.34
            [high] => 0.33920000
            [low] => 0.29550000
            [mfe_pct] => 7.8
            [mae_pct] => 5.83
            [mfe_mae_ratio] => 1.34
            [candles_analyzed] => 84
            [start_at] => 2025-10-15T07:10:22-04:00
            [end_at] => 2025-10-15T14:10:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32060000
            [high_after] => 0.33920000
            [low_before] => 0.31350000
            [low_after] => 0.31120000
            [is_new_high] => 
            [is_new_low] => 1
        )

)