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Short Trade on MELANIA

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Short Trade on MELANIA 15 Sep 2025 at 16:59:04

Take profit at 0.1951 (0.46 %) and Stop Loss at 0.1965 (0.26 %)

Short Trade on MELANIA

The 15 Sep 2025 at 16:59:04

With 17257.0825 MELANIA at 0.196$ per unit.

Position size of 3382.3882 $

Take profit at 0.1951 (0.46 %) and Stop Loss at 0.1965 (0.26 %)

That's a 1.8 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 1.9
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.59
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 : 0.627978

15m : 0.008095

1H : 0.077124

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0003090518535
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.19571
  4. ema21 : 0.197417
  5. ema50 : 0.200263
  6. ema100 : 0.201507
  7. price_ema9_diff : 0.00148096
  8. ema9_ema21_diff : -0.00864951
  9. ema21_ema50_diff : -0.0142107
  10. price_ema100_diff : -0.0273293
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.181128
  14. ema_slope_21 : -0.164546
  15. ema_slope_50 : -0.116285
  16. ema_slope_100 : -0.064568
  17. rsi : 0.427791
  18. adx : 0.414207
  19. kc_percentage : 0.364298
  20. kc_width_percentage : 0.0481599
  21. volume_ema_diff : -0.388115
  22. volume_ema1 : 83762.718543374
  23. volume_ema2 : 136893.02858516
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.195276
  27. ema21 : 0.195156
  28. ema50 : 0.196116
  29. ema100 : 0.197683
  30. price_ema9_diff : 0.00370755
  31. ema9_ema21_diff : 0.000614394
  32. ema21_ema50_diff : -0.00489482
  33. price_ema100_diff : -0.00851521
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0339437
  37. ema_slope_21 : -0.00271809
  38. ema_slope_50 : -0.0282697
  39. ema_slope_100 : -0.0305782
  40. rsi : 0.546352
  41. adx : 0.22861
  42. kc_percentage : 0.734198
  43. kc_width_percentage : 0.018681
  44. volume_ema_diff : -0.637444
  45. volume_ema1 : 11256.683734092
  46. volume_ema2 : 31048.188782751
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 0.195693
  50. ema21 : 0.195343
  51. ema50 : 0.195076
  52. ema100 : 0.195206
  53. price_ema9_diff : 0.00156826
  54. ema9_ema21_diff : 0.00178737
  55. ema21_ema50_diff : 0.00137275
  56. price_ema100_diff : 0.0040657
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0343868
  60. ema_slope_21 : 0.0258367
  61. ema_slope_50 : 0.0128472
  62. ema_slope_100 : 0.00386711
  63. rsi : 0.644291
  64. adx : 0.159851
  65. kc_percentage : 1.08695
  66. kc_width_percentage : 0.00551173
  67. volume_ema_diff : -0.443872
  68. volume_ema1 : 3339.2240618073
  69. volume_ema2 : 6004.4192663604
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114976
  74. 5m_price_ema100_diff: 
    0.00269229
  75. 5m_price: 
    115285
  76. 5m_correlation_with_coin: 
    0.627978
  77. btc_indicators
  78. 15m_ema100: 
    115205
  79. 15m_price_ema100_diff: 
    5.98042E-5
  80. 15m_price: 
    115212
  81. 15m_correlation_with_coin: 
    0.008095
  82. btc_indicators
  83. 1H_ema100: 
    115314
  84. 1H_price_ema100_diff: 
    -0.000253212
  85. 1H_price: 
    115285
  86. 1H_correlation_with_coin: 
    0.077124
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:59:04		 15 Sep 2025
17:55:00		 55 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.196 0.1965 0.1951 1.8 0.1089
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 0.196
  • Stop Loss: 0.1965
  • Take Profit: 0.1951

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1965 - 0.196 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.196 - 0.1951 = 0.00090000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00090000000000001 / 0.0005 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
3382.3882 100 17257.0825 33.82
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 0.196 = 3136

Donc, tu peux acheter 16000 avec un stoploss a 0.1965

Avec un position size USD de 3136$

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 0.00090000000000001 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 16000
  • Taille de position USD 3136
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.46 % 15.53 $
SL % Target SL $ Target
0.26 % 8.63 $
PNL PNL %
-8.63 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2551 % 100 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1951
            [entry_price] => 0.196
            [stop_loss] => 0.19655
            [rr_ratio] => 1.64
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1951
            [entry_price] => 0.196
            [stop_loss] => 0.1966
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1951
            [entry_price] => 0.196
            [stop_loss] => 0.19665
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 21:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1951
            [entry_price] => 0.196
            [stop_loss] => 0.19675
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 22:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00060000000000002
            [max_drawdown] => 0.0005
            [rr_ratio] => 1.2
            [high] => 0.19650000
            [low] => 0.19540000
            [mfe_pct] => 0.31
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 1.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:59:04-04:00
            [end_at] => 2025-09-15T18:59:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 1.57
            [high] => 0.19670000
            [low] => 0.19490000
            [mfe_pct] => 0.56
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 1.57
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:59:04-04:00
            [end_at] => 2025-09-15T23:59:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19610000
            [high_after] => 0.19670000
            [low_before] => 0.19300000
            [low_after] => 0.19510000
            [is_new_high] => 
            [is_new_low] => 
        )

)