Short Trade on MERL 25 Sep 2025 at 12:08:50

Take profit at 0.2877 (2.21 %) and Stop Loss at 0.2975 (1.12 %)

Short Trade on MERL

The 25 Sep 2025 at 12:08:50

With 2449.063 MERL at 0.2942$ per unit.

Position size of 720.5143 $

Take profit at 0.2877 (2.21 %) and Stop Loss at 0.2975 (1.12 %)

That's a 1.97 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.43
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.73
Prediction 3 Probability
1 0.54
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed

BTC Correlation Score

5m : 0.283448

15m : 0.109851

1H : 0.088447

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.002177703621
Details
  1. score: 1.21
  2. 1H
  3. ema9 : 0.292218
  4. ema21 : 0.300169
  5. ema50 : 0.305053
  6. ema100 : 0.297987
  7. price_ema9_diff : 0.00678147
  8. ema9_ema21_diff : -0.0264887
  9. ema21_ema50_diff : -0.0160118
  10. price_ema100_diff : -0.0127112
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.72044
  14. ema_slope_21 : -0.532641
  15. ema_slope_50 : -0.231088
  16. ema_slope_100 : -0.0520332
  17. rsi : 0.431245
  18. adx : 0.216203
  19. kc_percentage : 0.349019
  20. kc_width_percentage : 0.122921
  21. volume_ema_diff : -0.666578
  22. volume_ema1 : 369979.7857185
  23. volume_ema2 : 1109645.752688
  24. chop : 61.1096
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.2887
  29. ema21 : 0.289443
  30. ema50 : 0.295279
  31. ema100 : 0.30225
  32. price_ema9_diff : 0.0190497
  33. ema9_ema21_diff : -0.00256918
  34. ema21_ema50_diff : -0.0197628
  35. price_ema100_diff : -0.0266338
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.020984
  39. ema_slope_21 : -0.068516
  40. ema_slope_50 : -0.11973
  41. ema_slope_100 : -0.103033
  42. rsi : 0.557508
  43. adx : 0.185339
  44. kc_percentage : 0.794078
  45. kc_width_percentage : 0.0565466
  46. volume_ema_diff : -0.382762
  47. volume_ema1 : 95564.655551119
  48. volume_ema2 : 154826.51797767
  49. chop : 59.9973
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.289204
  54. ema21 : 0.288015
  55. ema50 : 0.288436
  56. ema100 : 0.289264
  57. price_ema9_diff : 0.0172726
  58. ema9_ema21_diff : 0.00412916
  59. ema21_ema50_diff : -0.0014586
  60. price_ema100_diff : 0.0170623
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0694521
  64. ema_slope_21 : -0.000107922
  65. ema_slope_50 : -0.0185735
  66. ema_slope_100 : -0.016349
  67. rsi : 0.666563
  68. adx : 0.167569
  69. kc_percentage : 1.2059
  70. kc_width_percentage : 0.0296899
  71. volume_ema_diff : -0.139581
  72. volume_ema1 : 34078.182082591
  73. volume_ema2 : 39606.527533769
  74. chop : 36.3845
  75. regime : bull_medium_confirmed
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111442
  80. 5m_price_ema100_diff:
    0.000614264
  81. 5m_price:
    111510
  82. 5m_correlation_with_coin:
    0.283448
  83. btc_indicators
  84. 15m_ema100:
    112182
  85. 15m_price_ema100_diff:
    -0.00599193
  86. 15m_price:
    111510
  87. 15m_correlation_with_coin:
    0.109851
  88. btc_indicators
  89. 1H_ema100:
    112956
  90. 1H_price_ema100_diff:
    -0.0128039
  91. 1H_price:
    111510
  92. 1H_correlation_with_coin:
    0.088447
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
12:08:50
25 Sep 2025
12:10:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2942 0.2975 0.2877 1.97 0.04149
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 0.2942
  • Stop Loss: 0.2975
  • Take Profit: 0.2877

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2975 - 0.2942 = 0.0033

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2942 - 0.2877 = 0.0065

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0065 / 0.0033 = 1.9697

📌 Position Size

Amount Margin Quantity Leverage
720.5143 100 2449.063 7.21
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 0.0033

Taille de position = 8 / 0.0033 = 2424.24

Taille de position USD = 2424.24 x 0.2942 = 713.21

Donc, tu peux acheter 2424.24 avec un stoploss a 0.2975

Avec un position size USD de 713.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2424.24 x 0.0033 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2424.24 x 0.0065 = 15.76

Si Take Profit atteint, tu gagneras 15.76$

Résumé

  • Taille de position 2424.24
  • Taille de position USD 713.21
  • Perte potentielle 8
  • Gain potentiel 15.76
  • Risk-Reward Ratio 1.9697

📌 Peformances

TP % Target TP $ Target
2.21 % 15.92 $
SL % Target SL $ Target
1.12 % 8.08 $
PNL PNL %
-8.08 $ -1.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3256 % 118.18 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2877
            [entry_price] => 0.2942
            [stop_loss] => 0.29783
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 12:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2877
            [entry_price] => 0.2942
            [stop_loss] => 0.29816
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 12:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2877
            [entry_price] => 0.2942
            [stop_loss] => 0.29849
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 12:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2877
            [entry_price] => 0.2942
            [stop_loss] => 0.29915
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 12:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0069
            [max_drawdown] => 0.005
            [rr_ratio] => 1.38
            [high] => 0.29920000
            [low] => 0.28730000
            [mfe_pct] => 2.35
            [mae_pct] => 1.7
            [mfe_mae_ratio] => 1.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T12:08:50-04:00
            [end_at] => 2025-09-25T14:08:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0082
            [max_drawdown] => 0.0152
            [rr_ratio] => 0.54
            [high] => 0.30940000
            [low] => 0.28600000
            [mfe_pct] => 2.79
            [mae_pct] => 5.17
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T12:08:50-04:00
            [end_at] => 2025-09-25T19:08:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29630000
            [high_after] => 0.30940000
            [low_before] => 0.28280000
            [low_after] => 0.28600000
            [is_new_high] => 
            [is_new_low] => 
        )

)