Web3Way Logo

Short Trade on MELANIA

Previous Trade Next Trade

Short Trade on MELANIA 15 May 2025 at 13:39:09

Take profit at 0.3606 (1.26 %) and Stop Loss at 0.3683 (0.85 %)

Short Trade on MELANIA

The 15 May 2025 at 13:39:09

With 2585.8692 MELANIA at 0.3652$ per unit.

Position size of 944.3594 $

Take profit at 0.3606 (1.26 %) and Stop Loss at 0.3683 (0.85 %)

That's a 1.48 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: -5.4141
Prediction 1 Probability
Strong Trade
0.68
Prediction 2 Probability
1 0.39
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.735368

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.002062491542
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.360855
  4. ema21 : 0.37269
  5. ema50 : 0.386387
  6. ema100 : 0.390545
  7. price_ema9_diff : 0.0120395
  8. ema9_ema21_diff : -0.0317546
  9. ema21_ema50_diff : -0.03545
  10. price_ema100_diff : -0.0648967
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.424082
  14. kc_percentage : 0.334691
  15. kc_width_percentage : 0.109402
    16. ¸
  16. 15m
  17. ema9 : 0.359699
  18. ema21 : 0.358585
  19. ema50 : 0.364582
  20. ema100 : 0.374027
  21. price_ema9_diff : 0.0152919
  22. ema9_ema21_diff : 0.00310684
  23. ema21_ema50_diff : -0.0164496
  24. price_ema100_diff : -0.0236022
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.582591
  28. kc_percentage : 0.874805
  29. kc_width_percentage : 0.0489117
    30. ¸
  30. 5m
  31. ema9 : 0.362739
  32. ema21 : 0.360061
  33. ema50 : 0.358144
  34. ema100 : 0.359025
  35. price_ema9_diff : 0.00678406
  36. ema9_ema21_diff : 0.00743701
  37. ema21_ema50_diff : 0.00535194
  38. price_ema100_diff : 0.0171972
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.67295
  42. kc_percentage : 1.13405
  43. kc_width_percentage : 0.021468
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    102629
  47. 5m_price_ema100_diff: 
    0.0119375
  48. 5m_price: 
    103854
  49. 5m_correlation_with_coin: 
    0.735368
  50. btc_indicators
  51. 15m_ema100: 
    102773
  52. 15m_price_ema100_diff: 
    0.0105203
  53. 15m_price: 
    103854
  54. btc_indicators
  55. 1H_ema100: 
    103325
  56. 1H_price_ema100_diff: 
    0.0051243
  57. 1H_price: 
    103854
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 May 2025
13:39:09		 15 May 2025
14:05:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3652 0.3683 0.3606 1.48 0.1094
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 0.3652
  • Stop Loss: 0.3683
  • Take Profit: 0.3606

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3683 - 0.3652 = 0.0031

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3652 - 0.3606 = 0.0046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0046 / 0.0031 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
944.3594 100 2585.8692 9.44
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 0.0031

Taille de position = 8 / 0.0031 = 2580.65

Taille de position USD = 2580.65 x 0.3652 = 942.45

Donc, tu peux acheter 2580.65 avec un stoploss a 0.3683

Avec un position size USD de 942.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2580.65 x 0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2580.65 x 0.0046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position 2580.65
  • Taille de position USD 942.45
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
1.26 % 11.89 $
SL % Target SL $ Target
0.85 % 8.02 $
PNL PNL %
11.89 $ 1.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.46549835706462 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.359
            [stop_loss] => 0.3683
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 14:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.35745
            [stop_loss] => 0.3683
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 14:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3559
            [stop_loss] => 0.3683
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 14:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.35435
            [stop_loss] => 0.3683
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-15 14:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3528
            [stop_loss] => 0.3683
            [rr_ratio] => 4
            [closed_at] => 2025-05-15 14:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.35125
            [stop_loss] => 0.3683
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-15 14:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3497
            [stop_loss] => 0.3683
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 14:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.34815
            [stop_loss] => 0.3683
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 15:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3466
            [stop_loss] => 0.3683
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 15:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.34505
            [stop_loss] => 0.3683
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 17:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.3435
            [stop_loss] => 0.3683
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 19:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0186
            [max_drawdown] => 0.0017
            [rr_ratio] => 10.94
            [high] => 0.36690000
            [low] => 0.34660000
            [mfe_pct] => 5.09
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 10.94
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T13:39:09-04:00
            [end_at] => 2025-05-15T15:39:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0284
            [max_drawdown] => 0.0017
            [rr_ratio] => 16.71
            [high] => 0.36690000
            [low] => 0.33680000
            [mfe_pct] => 7.78
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 16.71
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T13:39:09-04:00
            [end_at] => 2025-05-15T19:39:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.36600000
            [high_after] => 0.36690000
            [low_before] => 0.34340000
            [low_after] => 0.33680000
            [is_new_high] => 
            [is_new_low] => 1
        )

)