Long Trade on MERL 16 Sep 2025 at 05:55:49

Take profit at 0.2205 (10.19 %) and Stop Loss at 0.1899 (5.1 %)

Long Trade on MERL

The 16 Sep 2025 at 05:55:49

With 783.6961 MERL at 0.2001$ per unit.

Position size of 156.8176 $

Take profit at 0.2205 (10.19 %) and Stop Loss at 0.1899 (5.1 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.19
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.9
Prediction 3 Probability
0 0.93
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.064828

15m : -0.086341

1H : 0.063681

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.006805358679
Details
  1. score: 2.05
  2. 1H
  3. ema9 : 0.206904
  4. ema21 : 0.189417
  5. ema50 : 0.171896
  6. ema100 : 0.162301
  7. price_ema9_diff : -0.032889
  8. ema9_ema21_diff : 0.0923196
  9. ema21_ema50_diff : 0.101928
  10. price_ema100_diff : 0.232893
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 2.53402
  14. ema_slope_21 : 1.8394
  15. ema_slope_50 : 1.0263
  16. ema_slope_100 : 0.581549
  17. rsi : 0.595605
  18. adx : 0.602888
  19. kc_percentage : 0.653446
  20. kc_width_percentage : 0.311899
  21. volume_ema_diff : 3.33751
  22. volume_ema1 : 10119659.990274
  23. volume_ema2 : 2333056.8766675
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.217211
  28. ema21 : 0.214396
  29. ema50 : 0.200225
  30. ema100 : 0.184359
  31. price_ema9_diff : -0.0787769
  32. ema9_ema21_diff : 0.0131274
  33. ema21_ema50_diff : 0.0707776
  34. price_ema100_diff : 0.0853771
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.293629
  38. ema_slope_21 : 0.493196
  39. ema_slope_50 : 0.562431
  40. ema_slope_100 : 0.474935
  41. rsi : 0.459578
  42. adx : 0.598565
  43. kc_percentage : 0.160791
  44. kc_width_percentage : 0.217267
  45. volume_ema_diff : 0.970739
  46. volume_ema1 : 3128804.8089305
  47. volume_ema2 : 1587629.9255059
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.209383
  52. ema21 : 0.215901
  53. ema50 : 0.2162
  54. ema100 : 0.210444
  55. price_ema9_diff : -0.0443377
  56. ema9_ema21_diff : -0.0301907
  57. ema21_ema50_diff : -0.00138051
  58. price_ema100_diff : -0.0491547
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.617138
  62. ema_slope_21 : -0.284646
  63. ema_slope_50 : -0.0385375
  64. ema_slope_100 : 0.053828
  65. rsi : 0.335537
  66. adx : 0.322709
  67. kc_percentage : -0.0530207
  68. kc_width_percentage : 0.140455
  69. volume_ema_diff : -0.116853
  70. volume_ema1 : 774250.22725906
  71. volume_ema2 : 876695.45533467
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115512
  77. 5m_price_ema100_diff:
    -0.000865808
  78. 5m_price:
    115412
  79. 5m_correlation_with_coin:
    0.064828
  80. btc_indicators
  81. 15m_ema100:
    115251
  82. 15m_price_ema100_diff:
    0.00213021
  83. 15m_price:
    115497
  84. 15m_correlation_with_coin:
    -0.086341
  85. btc_indicators
  86. 1H_ema100:
    115420
  87. 1H_price_ema100_diff:
    -7.06771E-5
  88. 1H_price:
    115412
  89. 1H_correlation_with_coin:
    0.063681
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
05:55:49
16 Sep 2025
06:00:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2001 0.1899 0.2205 2 0.0435
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 0.2001
  • Stop Loss: 0.1899
  • Take Profit: 0.2205

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1899 - 0.2001 = -0.0102

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2001 - 0.2205 = -0.0204

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0204 / -0.0102 = 2

📌 Position Size

Amount Margin Quantity Leverage
156.8176 100 783.6961 1.57
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 -0.0102

Taille de position = 8 / -0.0102 = -784.31

Taille de position USD = -784.31 x 0.2001 = -156.94

Donc, tu peux acheter -784.31 avec un stoploss a 0.1899

Avec un position size USD de -156.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -784.31 x -0.0102 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -784.31 x -0.0204 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -784.31
  • Taille de position USD -156.94
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
10.19 % 15.99 $
SL % Target SL $ Target
5.1 % 7.99 $
PNL PNL %
-7.99 $ -5.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-5.5472 % 108.82 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2205
            [entry_price] => 0.2001
            [stop_loss] => 0.18888
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 06:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2205
            [entry_price] => 0.2001
            [stop_loss] => 0.18786
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 06:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2205
            [entry_price] => 0.2001
            [stop_loss] => 0.18684
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 06:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2205
            [entry_price] => 0.2001
            [stop_loss] => 0.1848
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 06:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.0254
            [rr_ratio] => 0.06
            [high] => 0.20150000
            [low] => 0.17470000
            [mfe_pct] => 0.7
            [mae_pct] => 12.69
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T05:55:49-04:00
            [end_at] => 2025-09-16T07:55:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.0254
            [rr_ratio] => 0.24
            [high] => 0.20610000
            [low] => 0.17470000
            [mfe_pct] => 3
            [mae_pct] => 12.69
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T05:55:49-04:00
            [end_at] => 2025-09-16T12:55:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24170000
            [high_after] => 0.20610000
            [low_before] => 0.19550000
            [low_after] => 0.17470000
            [is_new_high] => 
            [is_new_low] => 
        )

)