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Long Trade on MERL

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Long Trade on MERL 22 May 2025 at 17:34:29

Take profit at 0.1353 (4 %) and Stop Loss at 0.1266 (2.69 %)

Long Trade on MERL

The 22 May 2025 at 17:34:29

With 2286.7802 MERL at 0.1301$ per unit.

Position size of 297.5101 $

Take profit at 0.1353 (4 %) and Stop Loss at 0.1266 (2.69 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 140
ML Pullback Score: 8
Prediction Score: -6.339
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.170277

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.002332245733
Details
  1. score: 2.1
  2. 1H
  3. ema9 : 0.129656
  4. ema21 : 0.120649
  5. ema50 : 0.110308
  6. ema100 : 0.106809
  7. price_ema9_diff : 0.00342403
  8. ema9_ema21_diff : 0.0746466
  9. ema21_ema50_diff : 0.0937539
  10. price_ema100_diff : 0.218062
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.704575
  14. kc_percentage : 0.850426
  15. kc_width_percentage : 0.193407
    16. ¸
  16. 15m
  17. ema9 : 0.135229
  18. ema21 : 0.133506
  19. ema50 : 0.126842
  20. ema100 : 0.118381
  21. price_ema9_diff : -0.0379338
  22. ema9_ema21_diff : 0.0129043
  23. ema21_ema50_diff : 0.0525413
  24. price_ema100_diff : 0.0989898
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.453667
  28. kc_percentage : 0.277252
  29. kc_width_percentage : 0.124931
    30. ¸
  30. 5m
  31. ema9 : 0.135758
  32. ema21 : 0.136108
  33. ema50 : 0.134809
  34. ema100 : 0.13127
  35. price_ema9_diff : -0.0416779
  36. ema9_ema21_diff : -0.00257789
  37. ema21_ema50_diff : 0.00963819
  38. price_ema100_diff : -0.00891668
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.329492
  42. kc_percentage : -0.0955523
  43. kc_width_percentage : 0.0776542
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    111233
  47. 5m_price_ema100_diff: 
    -0.003272
  48. 5m_price: 
    110869
  49. 5m_correlation_with_coin: 
    0.170277
  50. btc_indicators
  51. 15m_ema100: 
    110583
  52. 15m_price_ema100_diff: 
    0.00258735
  53. 15m_price: 
    110869
  54. btc_indicators
  55. 1H_ema100: 
    107706
  56. 1H_price_ema100_diff: 
    0.0293655
  57. 1H_price: 
    110869
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 May 2025
17:34:29		 22 May 2025
17:55:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1301 0.1266 0.1353 1.49 0.0452
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 0.1301
  • Stop Loss: 0.1266
  • Take Profit: 0.1353

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1266 - 0.1301 = -0.0035

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1301 - 0.1353 = -0.0052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0052 / -0.0035 = 1.4857

📌 Position Size

Amount Margin Quantity Leverage
297.5101 100 2286.7802 2.98
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 -0.0035

Taille de position = 8 / -0.0035 = -2285.71

Taille de position USD = -2285.71 x 0.1301 = -297.37

Donc, tu peux acheter -2285.71 avec un stoploss a 0.1266

Avec un position size USD de -297.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2285.71 x -0.0035 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2285.71 x -0.0052 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position -2285.71
  • Taille de position USD -297.37
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4857

📌 Peformances

TP % Target TP $ Target
4 % 11.89 $
SL % Target SL $ Target
2.69 % 8 $
PNL PNL %
11.89 $ 4.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1371
            [stop_loss] => 0.1266
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 19:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.13885
            [stop_loss] => 0.1266
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 20:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1406
            [stop_loss] => 0.1266
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 21:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.14235
            [stop_loss] => 0.1266
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 21:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1441
            [stop_loss] => 0.1266
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 21:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.14585
            [stop_loss] => 0.1266
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1476
            [stop_loss] => 0.1266
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.14935
            [stop_loss] => 0.1266
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1511
            [stop_loss] => 0.1266
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.15285
            [stop_loss] => 0.1266
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1546
            [stop_loss] => 0.1266
            [rr_ratio] => 7
            [closed_at] => 2025-05-22 22:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0062
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.13630000
            [low] => 0.13140000
            [mfe_pct] => 4.77
            [mae_pct] => -1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T17:34:29-04:00
            [end_at] => 2025-05-22T19:34:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0317
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.16180000
            [low] => 0.13140000
            [mfe_pct] => 24.37
            [mae_pct] => -1
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T17:34:29-04:00
            [end_at] => 2025-05-22T23:34:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14110000
            [high_after] => 0.16180000
            [low_before] => 0.12950000
            [low_after] => 0.13140000
            [is_new_high] => 1
            [is_new_low] => 
        )

)