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Short Trade on XNY

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Short Trade on XNY 13 Sep 2025 at 16:10:25

Take profit at 0.01102 (3.42 %) and Stop Loss at 0.0116 (1.67 %)

Short Trade on XNY

The 13 Sep 2025 at 16:10:25

With 41001.2217 XNY at 0.01141$ per unit.

Position size of 467.7829 $

Take profit at 0.01102 (3.42 %) and Stop Loss at 0.0116 (1.67 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.01
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.63
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.159058

15m : 0.276426

1H : -0.020274

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0001300774247
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0111873
  4. ema21 : 0.0114791
  5. ema50 : 0.0119291
  6. ema100 : 0.0120356
  7. price_ema9_diff : 0.0198134
  8. ema9_ema21_diff : -0.0254178
  9. ema21_ema50_diff : -0.0377257
  10. price_ema100_diff : -0.0520692
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.655546
  14. ema_slope_21 : -0.446517
  15. ema_slope_50 : -0.292071
  16. ema_slope_100 : -0.145351
  17. rsi : 0.463948
  18. adx : 0.268415
  19. kc_percentage : 0.47448
  20. kc_width_percentage : 0.164656
  21. volume_ema_diff : -0.486893
  22. volume_ema1 : 557224.11673466
  23. volume_ema2 : 1085981.2548238
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0110119
  27. ema21 : 0.0109524
  28. ema50 : 0.0112125
  29. ema100 : 0.0114777
  30. price_ema9_diff : 0.0360576
  31. ema9_ema21_diff : 0.00543388
  32. ema21_ema50_diff : -0.023204
  33. price_ema100_diff : -0.0059882
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.212152
  37. ema_slope_21 : -0.0373207
  38. ema_slope_50 : -0.14701
  39. ema_slope_100 : -0.117847
  40. rsi : 0.627864
  41. adx : 0.426775
  42. kc_percentage : 1.01164
  43. kc_width_percentage : 0.0791212
  44. volume_ema_diff : -0.0202767
  45. volume_ema1 : 219061.08156914
  46. volume_ema2 : 223594.84925735
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.0112563
  50. ema21 : 0.011052
  51. ema50 : 0.0109245
  52. ema100 : 0.0110252
  53. price_ema9_diff : 0.0135614
  54. ema9_ema21_diff : 0.0184878
  55. ema21_ema50_diff : 0.011665
  56. price_ema100_diff : 0.034808
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.422537
  60. ema_slope_21 : 0.273692
  61. ema_slope_50 : 0.118329
  62. ema_slope_100 : 0.0269157
  63. rsi : 0.775386
  64. adx : 0.361634
  65. kc_percentage : 1.12669
  66. kc_width_percentage : 0.048306
  67. volume_ema_diff : 0.0486031
  68. volume_ema1 : 64430.80905556
  69. volume_ema2 : 61444.415171493
  70. regime : bull_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115658
  74. 5m_price_ema100_diff: 
    0.00237219
  75. 5m_price: 
    115933
  76. 5m_correlation_with_coin: 
    0.159058
  77. btc_indicators
  78. 15m_ema100: 
    115845
  79. 15m_price_ema100_diff: 
    0.000756672
  80. 15m_price: 
    115933
  81. 15m_correlation_with_coin: 
    0.276426
  82. btc_indicators
  83. 1H_ema100: 
    114454
  84. 1H_price_ema100_diff: 
    0.0129161
  85. 1H_price: 
    115933
  86. 1H_correlation_with_coin: 
    -0.020274
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
16:10:25		 13 Sep 2025
17:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01141 0.0116 0.01102 2.05 0.003758
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 0.01141
  • Stop Loss: 0.0116
  • Take Profit: 0.01102

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0116 - 0.01141 = 0.00019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01141 - 0.01102 = 0.00039

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00039 / 0.00019 = 2.0526

📌 Position Size

Amount Margin Quantity Leverage
467.7829 100 41001.2217 4.68
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 0.00019

Taille de position = 8 / 0.00019 = 42105.26

Taille de position USD = 42105.26 x 0.01141 = 480.42

Donc, tu peux acheter 42105.26 avec un stoploss a 0.0116

Avec un position size USD de 480.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 42105.26 x 0.00019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 42105.26 x 0.00039 = 16.42

Si Take Profit atteint, tu gagneras 16.42$

Résumé

  • Taille de position 42105.26
  • Taille de position USD 480.42
  • Perte potentielle 8
  • Gain potentiel 16.42
  • Risk-Reward Ratio 2.0526

📌 Peformances

TP % Target TP $ Target
3.42 % 15.99 $
SL % Target SL $ Target
1.67 % 7.79 $
PNL PNL %
-7.79 $ -1.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.0333 % 122.11 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01102
            [entry_price] => 0.01141
            [stop_loss] => 0.011619
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01102
            [entry_price] => 0.01141
            [stop_loss] => 0.011638
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01102
            [entry_price] => 0.01141
            [stop_loss] => 0.011657
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 17:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01102
            [entry_price] => 0.01141
            [stop_loss] => 0.011695
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 21:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00018
            [max_drawdown] => 0.000255
            [rr_ratio] => 0.71
            [high] => 0.01166500
            [low] => 0.01123000
            [mfe_pct] => 1.58
            [mae_pct] => 2.23
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T16:10:25-04:00
            [end_at] => 2025-09-13T18:10:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000615
            [max_drawdown] => 0.000255
            [rr_ratio] => 2.41
            [high] => 0.01166500
            [low] => 0.01079500
            [mfe_pct] => 5.39
            [mae_pct] => 2.23
            [mfe_mae_ratio] => 2.41
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T16:10:25-04:00
            [end_at] => 2025-09-13T23:10:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01157900
            [high_after] => 0.01166500
            [low_before] => 0.01053100
            [low_after] => 0.01088900
            [is_new_high] => 
            [is_new_low] => 
        )

)