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Short Trade on MELANIA

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Short Trade on MELANIA 31 May 2025 at 03:46:14

Take profit at 0.2939 (0.98 %) and Stop Loss at 0.2988 (0.67 %)

Short Trade on MELANIA

The 31 May 2025 at 03:46:14

With 4095.7973 MELANIA at 0.2968$ per unit.

Position size of 1215.6326 $

Take profit at 0.2939 (0.98 %) and Stop Loss at 0.2988 (0.67 %)

That's a 1.45 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 100
ML Pullback Score: 6.42
Prediction Score: 3.24
Prediction 1 Probability
Strong Trade
0.66
Prediction 2 Probability
2 0.45
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.71923

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.001302147766
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.296249
  4. ema21 : 0.309034
  5. ema50 : 0.328472
  6. ema100 : 0.339664
  7. price_ema9_diff : 0.00185681
  8. ema9_ema21_diff : -0.0413706
  9. ema21_ema50_diff : -0.0591762
  10. price_ema100_diff : -0.126196
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.326272
  14. kc_percentage : 0.150707
  15. kc_width_percentage : 0.108043
    16. ¸
  16. 15m
  17. ema9 : 0.293706
  18. ema21 : 0.292674
  19. ema50 : 0.298707
  20. ema100 : 0.310263
  21. price_ema9_diff : 0.0105319
  22. ema9_ema21_diff : 0.00352672
  23. ema21_ema50_diff : -0.0201972
  24. price_ema100_diff : -0.0433925
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.571167
  28. kc_percentage : 0.844449
  29. kc_width_percentage : 0.0408168
    30. ¸
  30. 5m
  31. ema9 : 0.295302
  32. ema21 : 0.294097
  33. ema50 : 0.292373
  34. ema100 : 0.291929
  35. price_ema9_diff : 0.00507034
  36. ema9_ema21_diff : 0.00409854
  37. ema21_ema50_diff : 0.00589532
  38. price_ema100_diff : 0.0166839
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.669674
  42. kc_percentage : 1.00996
  43. kc_width_percentage : 0.0173086
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103664
  47. 5m_price_ema100_diff: 
    -0.000548605
  48. 5m_price: 
    103607
  49. 5m_correlation_with_coin: 
    0.71923
  50. btc_indicators
  51. 15m_ema100: 
    104397
  52. 15m_price_ema100_diff: 
    -0.00756886
  53. 15m_price: 
    103607
  54. btc_indicators
  55. 1H_ema100: 
    106487
  56. 1H_price_ema100_diff: 
    -0.0270459
  57. 1H_price: 
    103607
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
31 May 2025
03:46:14		 31 May 2025
04:15:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2968 0.2988 0.2939 1.45 0.1088
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 0.2968
  • Stop Loss: 0.2988
  • Take Profit: 0.2939

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2988 - 0.2968 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2968 - 0.2939 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
1215.6326 100 4095.7973 12.16
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2968 = 1187.2

Donc, tu peux acheter 4000 avec un stoploss a 0.2988

Avec un position size USD de 1187.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 1187.2
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
0.98 % 11.88 $
SL % Target SL $ Target
0.67 % 8.19 $
PNL PNL %
11.88 $ 0.98
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2928
            [stop_loss] => 0.2988
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 04:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2918
            [stop_loss] => 0.2988
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 04:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2908
            [stop_loss] => 0.2988
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 04:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2898
            [stop_loss] => 0.2988
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 05:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2888
            [stop_loss] => 0.2988
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 06:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2878
            [stop_loss] => 0.2988
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 06:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2868
            [stop_loss] => 0.2988
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 06:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2858
            [stop_loss] => 0.2988
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-31 09:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2848
            [stop_loss] => 0.2988
            [rr_ratio] => 6
            [closed_at] => 2025-05-31 09:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.2838
            [stop_loss] => 0.2988
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-31 09:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2828
            [stop_loss] => 0.2988
            [rr_ratio] => 7
            [closed_at] => 2025-05-31 09:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0077
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.29660000
            [low] => 0.28910000
            [mfe_pct] => 2.59
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-31T03:46:14-04:00
            [end_at] => 2025-05-31T05:46:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0105
            [max_drawdown] => 0.0026
            [rr_ratio] => 4.04
            [high] => 0.29940000
            [low] => 0.28630000
            [mfe_pct] => 3.54
            [mae_pct] => 0.88
            [mfe_mae_ratio] => 4.04
            [candles_analyzed] => 72
            [start_at] => 2025-05-31T03:46:14-04:00
            [end_at] => 2025-05-31T09:46:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29960000
            [high_after] => 0.29940000
            [low_before] => 0.28470000
            [low_after] => 0.28630000
            [is_new_high] => 
            [is_new_low] => 
        )

)