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Short Trade on MERL

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Short Trade on MERL 30 Sep 2025 at 13:45:00

Take profit at 0.3043 (1.49 %) and Stop Loss at 0.3112 (0.74 %)

Short Trade on MERL

The 30 Sep 2025 at 13:45:00

With 3476.2345 MERL at 0.3089$ per unit.

Position size of 1073.8088 $

Take profit at 0.3043 (1.49 %) and Stop Loss at 0.3112 (0.74 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.92
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.216364

15m : 0.090058

1H : 0.052471

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.001534227136
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 0.307698
  4. ema21 : 0.312774
  5. ema50 : 0.314912
  6. ema100 : 0.311096
  7. price_ema9_diff : 0.00390584
  8. ema9_ema21_diff : -0.0162287
  9. ema21_ema50_diff : -0.0067893
  10. price_ema100_diff : -0.00705892
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.347389
  14. ema_slope_21 : -0.293161
  15. ema_slope_50 : -0.113505
  16. ema_slope_100 : -0.0223378
  17. rsi : 0.435109
  18. adx : 0.185054
  19. kc_percentage : 0.357534
  20. kc_width_percentage : 0.0808944
  21. volume_ema_diff : -0.391407
  22. volume_ema1 : 335576.80850704
  23. volume_ema2 : 551397.97207499
  24. chop : 63.3863
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.304353
  28. ema21 : 0.305178
  29. ema50 : 0.309265
  30. ema100 : 0.315447
  31. price_ema9_diff : 0.0149388
  32. ema9_ema21_diff : -0.00270275
  33. ema21_ema50_diff : -0.0132156
  34. price_ema100_diff : -0.0207555
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0362804
  38. ema_slope_21 : -0.0771478
  39. ema_slope_50 : -0.091681
  40. ema_slope_100 : -0.0838501
  41. rsi : 0.502012
  42. adx : 0.1757
  43. kc_percentage : 0.866023
  44. kc_width_percentage : 0.0339318
  45. volume_ema_diff : -0.429995
  46. volume_ema1 : 54613.316475915
  47. volume_ema2 : 95812.15262834
  48. chop : 62.4808
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.306179
  52. ema21 : 0.304869
  53. ema50 : 0.304903
  54. ema100 : 0.306347
  55. price_ema9_diff : 0.00888626
  56. ema9_ema21_diff : 0.0042963
  57. ema21_ema50_diff : -0.00011234
  58. price_ema100_diff : 0.00833365
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.107012
  62. ema_slope_21 : 0.0470713
  63. ema_slope_50 : 0.00635221
  64. ema_slope_100 : -0.00892347
  65. rsi : 0.70511
  66. adx : 0.214271
  67. kc_percentage : 1.14446
  68. kc_width_percentage : 0.0199887
  69. volume_ema_diff : -0.220894
  70. volume_ema1 : 23450.916681619
  71. volume_ema2 : 30099.786610785
  72. chop : 32.8587
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113093
  77. 5m_price_ema100_diff: 
    0.00167937
  78. 5m_price: 
    113283
  79. 5m_correlation_with_coin: 
    0.216364
  80. btc_indicators
  81. 15m_ema100: 
    113483
  82. 15m_price_ema100_diff: 
    -0.00246273
  83. 15m_price: 
    113203
  84. 15m_correlation_with_coin: 
    0.090058
  85. btc_indicators
  86. 1H_ema100: 
    111602
  87. 1H_price_ema100_diff: 
    0.0150611
  88. 1H_price: 
    113283
  89. 1H_correlation_with_coin: 
    0.052471
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
13:45:00		 30 Sep 2025
13:50:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3089 0.3112 0.3043 2 0.04399
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 0.3089
  • Stop Loss: 0.3112
  • Take Profit: 0.3043

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3112 - 0.3089 = 0.0023

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3089 - 0.3043 = 0.0046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0046 / 0.0023 = 2

📌 Position Size

Amount Margin Quantity Leverage
1073.8088 100 3476.2345 10.74
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 0.0023

Taille de position = 8 / 0.0023 = 3478.26

Taille de position USD = 3478.26 x 0.3089 = 1074.43

Donc, tu peux acheter 3478.26 avec un stoploss a 0.3112

Avec un position size USD de 1074.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3478.26 x 0.0023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3478.26 x 0.0046 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3478.26
  • Taille de position USD 1074.43
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.49 % 15.99 $
SL % Target SL $ Target
0.74 % 8 $
PNL PNL %
-8 $ -0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8417 % 113.04 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3043
            [entry_price] => 0.3089
            [stop_loss] => 0.31143
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 13:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3043
            [entry_price] => 0.3089
            [stop_loss] => 0.31166
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 14:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3043
            [entry_price] => 0.3089
            [stop_loss] => 0.31189
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 14:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3043
            [entry_price] => 0.3089
            [stop_loss] => 0.31235
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 14:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0061
            [max_drawdown] => 0.0044
            [rr_ratio] => 1.39
            [high] => 0.31330000
            [low] => 0.30280000
            [mfe_pct] => 1.97
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 1.39
            [candles_analyzed] => 25
            [start_at] => 2025-09-30T13:45:00-04:00
            [end_at] => 2025-09-30T15:45:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0133
            [max_drawdown] => 0.0044
            [rr_ratio] => 3.02
            [high] => 0.31330000
            [low] => 0.29560000
            [mfe_pct] => 4.31
            [mae_pct] => 1.42
            [mfe_mae_ratio] => 3.02
            [candles_analyzed] => 85
            [start_at] => 2025-09-30T13:45:00-04:00
            [end_at] => 2025-09-30T20:45:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31010000
            [high_after] => 0.31330000
            [low_before] => 0.30040000
            [low_after] => 0.29560000
            [is_new_high] => 
            [is_new_low] => 1
        )

)