Web3Way Logo

Short Trade on MELANIA

Previous Trade Next Trade

Short Trade on MELANIA 15 Sep 2025 at 16:48:42

Take profit at 0.1948 (0.56 %) and Stop Loss at 0.1964 (0.26 %)

Short Trade on MELANIA

The 15 Sep 2025 at 16:48:42

With 15206.26 MELANIA at 0.1959$ per unit.

Position size of 2978.9063 $

Take profit at 0.1948 (0.56 %) and Stop Loss at 0.1964 (0.26 %)

That's a 2.2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.41
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.55
Prediction 3 Probability
1 0.57
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.625511

15m : -0.023868

1H : 0.026758

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0003507327466
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.19569
  4. ema21 : 0.197408
  5. ema50 : 0.200259
  6. ema100 : 0.201505
  7. price_ema9_diff : 0.00107231
  8. ema9_ema21_diff : -0.00870517
  9. ema21_ema50_diff : -0.0142368
  10. price_ema100_diff : -0.027816
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.181961
  14. ema_slope_21 : -0.164922
  15. ema_slope_50 : -0.116446
  16. ema_slope_100 : -0.0646493
  17. rsi : 0.424267
  18. adx : 0.414207
  19. kc_percentage : 0.354713
  20. kc_width_percentage : 0.0481845
  21. volume_ema_diff : -0.394315
  22. volume_ema1 : 82848.883304841
  23. volume_ema2 : 136785.51855709
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.195256
  27. ema21 : 0.195147
  28. ema50 : 0.196112
  29. ema100 : 0.197681
  30. price_ema9_diff : 0.00329821
  31. ema9_ema21_diff : 0.000558521
  32. ema21_ema50_diff : -0.00492127
  33. price_ema100_diff : -0.00901114
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0330867
  37. ema_slope_21 : -0.00310615
  38. ema_slope_50 : -0.0284357
  39. ema_slope_100 : -0.0306613
  40. rsi : 0.540808
  41. adx : 0.22861
  42. kc_percentage : 0.709487
  43. kc_width_percentage : 0.0186905
  44. volume_ema_diff : -0.655109
  45. volume_ema1 : 10685.024320759
  46. volume_ema2 : 30980.934734124
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.1955
  50. ema21 : 0.195197
  51. ema50 : 0.194985
  52. ema100 : 0.195102
  53. price_ema9_diff : 0.00204362
  54. ema9_ema21_diff : 0.00155445
  55. ema21_ema50_diff : 0.00108402
  56. price_ema100_diff : 0.00408672
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0261496
  60. ema_slope_21 : 0.0209529
  61. ema_slope_50 : 0.0100767
  62. ema_slope_100 : 0.00282536
  63. rsi : 0.63326
  64. adx : 0.13462
  65. kc_percentage : 1.03065
  66. kc_width_percentage : 0.00658123
  67. volume_ema_diff : -0.0268056
  68. volume_ema1 : 6251.5500815332
  69. volume_ema2 : 6423.7424239333
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114963
  74. 5m_price_ema100_diff: 
    0.00190624
  75. 5m_price: 
    115182
  76. 5m_correlation_with_coin: 
    0.625511
  77. btc_indicators
  78. 15m_ema100: 
    115204
  79. 15m_price_ema100_diff: 
    -0.000194594
  80. 15m_price: 
    115182
  81. 15m_correlation_with_coin: 
    -0.023868
  82. btc_indicators
  83. 1H_ema100: 
    115312
  84. 1H_price_ema100_diff: 
    -0.00113385
  85. 1H_price: 
    115182
  86. 1H_correlation_with_coin: 
    0.026758
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:48:42		 15 Sep 2025
17:45:00		 56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1959 0.1964 0.1948 2.2 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 0.1959
  • Stop Loss: 0.1964
  • Take Profit: 0.1948

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1964 - 0.1959 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1959 - 0.1948 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.0005 = 2.2

📌 Position Size

Amount Margin Quantity Leverage
2978.9063 100 15206.26 29.79
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1959 = 3134.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1964

Avec un position size USD de 3134.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.0011 = 17.6

Si Take Profit atteint, tu gagneras 17.6$

Résumé

  • Taille de position 16000
  • Taille de position USD 3134.4
  • Perte potentielle 8
  • Gain potentiel 17.6
  • Risk-Reward Ratio 2.2

📌 Peformances

TP % Target TP $ Target
0.56 % 16.73 $
SL % Target SL $ Target
0.26 % 7.6 $
PNL PNL %
-7.6 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2552 % 100 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1959
            [stop_loss] => 0.19645
            [rr_ratio] => 2
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 17:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1959
            [stop_loss] => 0.1965
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 17:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1959
            [stop_loss] => 0.19655
            [rr_ratio] => 1.69
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1959
            [stop_loss] => 0.19665
            [rr_ratio] => 1.47
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.00060000000000002
            [rr_ratio] => 0.83
            [high] => 0.19650000
            [low] => 0.19540000
            [mfe_pct] => 0.26
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:48:42-04:00
            [end_at] => 2025-09-15T18:48:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.00080000000000002
            [rr_ratio] => 1.25
            [high] => 0.19670000
            [low] => 0.19490000
            [mfe_pct] => 0.51
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 1.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:48:42-04:00
            [end_at] => 2025-09-15T23:48:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19610000
            [high_after] => 0.19670000
            [low_before] => 0.19260000
            [low_after] => 0.19520000
            [is_new_high] => 
            [is_new_low] => 
        )

)