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Short Trade on XNY

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Short Trade on XNY 13 Sep 2025 at 15:56:48

Take profit at 0.01103 (3.16 %) and Stop Loss at 0.01158 (1.67 %)

Short Trade on XNY

The 13 Sep 2025 at 15:56:48

With 44016.6576 XNY at 0.01139$ per unit.

Position size of 501.5698 $

Take profit at 0.01103 (3.16 %) and Stop Loss at 0.01158 (1.67 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 1.76
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.65
Prediction 2 Probability
1 0.46
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.149389

15m : -0.065338

1H : 0.076545

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.00012116625
Details
  1. score: 1.37
  2. 1H
  3. ema9 : 0.0111431
  4. ema21 : 0.0114912
  5. ema50 : 0.0119561
  6. ema100 : 0.0120755
  7. price_ema9_diff : 0.0226035
  8. ema9_ema21_diff : -0.0302932
  9. ema21_ema50_diff : -0.0388875
  10. price_ema100_diff : -0.0563577
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.672095
  14. ema_slope_21 : -0.431643
  15. ema_slope_50 : -0.281163
  16. ema_slope_100 : -0.140679
  17. rsi : 0.460592
  18. adx : 0.281556
  19. kc_percentage : 0.463426
  20. kc_width_percentage : 0.173554
  21. volume_ema_diff : -0.363886
  22. volume_ema1 : 715527.287417
  23. volume_ema2 : 1124841.8621674
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.010895
  27. ema21 : 0.0108987
  28. ema50 : 0.0111999
  29. ema100 : 0.0114685
  30. price_ema9_diff : 0.0458859
  31. ema9_ema21_diff : -0.000338475
  32. ema21_ema50_diff : -0.0268889
  33. price_ema100_diff : -0.00641241
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.110149
  37. ema_slope_21 : -0.10195
  38. ema_slope_50 : -0.176244
  39. ema_slope_100 : -0.130195
  40. rsi : 0.592029
  41. adx : 0.424767
  42. kc_percentage : 1.12564
  43. kc_width_percentage : 0.0708159
  44. volume_ema_diff : -0.47085
  45. volume_ema1 : 111487.70840071
  46. volume_ema2 : 210692.30175439
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0111221
  50. ema21 : 0.0109388
  51. ema50 : 0.0108651
  52. ema100 : 0.0110042
  53. price_ema9_diff : 0.0245355
  54. ema9_ema21_diff : 0.0167543
  55. ema21_ema50_diff : 0.00678256
  56. price_ema100_diff : 0.0355061
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.34779
  60. ema_slope_21 : 0.199948
  61. ema_slope_50 : 0.0705956
  62. ema_slope_100 : -0.00152176
  63. rsi : 0.798261
  64. adx : 0.308551
  65. kc_percentage : 1.36618
  66. kc_width_percentage : 0.0452997
  67. volume_ema_diff : 0.548938
  68. volume_ema1 : 90337.298881516
  69. volume_ema2 : 58322.063937724
  70. regime : bull_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115646
  74. 5m_price_ema100_diff: 
    0.000574245
  75. 5m_price: 
    115712
  76. 5m_correlation_with_coin: 
    0.149389
  77. btc_indicators
  78. 15m_ema100: 
    115816
  79. 15m_price_ema100_diff: 
    -0.0013915
  80. 15m_price: 
    115655
  81. 15m_correlation_with_coin: 
    -0.065338
  82. btc_indicators
  83. 1H_ema100: 
    114415
  84. 1H_price_ema100_diff: 
    0.0113388
  85. 1H_price: 
    115712
  86. 1H_correlation_with_coin: 
    0.076545
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
15:56:48		 13 Sep 2025
17:35:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01139 0.01158 0.01103 1.89 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 0.01139
  • Stop Loss: 0.01158
  • Take Profit: 0.01103

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01158 - 0.01139 = 0.00019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01139 - 0.01103 = 0.00036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00036 / 0.00019 = 1.8947

📌 Position Size

Amount Margin Quantity Leverage
501.5698 100 44016.6576 5.02
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 0.01139 = 479.58

Donc, tu peux acheter 42105.26 avec un stoploss a 0.01158

Avec un position size USD de 479.58$

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 0.00036 = 15.16

Si Take Profit atteint, tu gagneras 15.16$

Résumé

  • Taille de position 42105.26
  • Taille de position USD 479.58
  • Perte potentielle 8
  • Gain potentiel 15.16
  • Risk-Reward Ratio 1.8947

📌 Peformances

TP % Target TP $ Target
3.16 % 15.85 $
SL % Target SL $ Target
1.67 % 8.36 $
PNL PNL %
-8.37 $ -1.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.2125 % 132.64 % 9

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01103
            [entry_price] => 0.01139
            [stop_loss] => 0.011599
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01103
            [entry_price] => 0.01139
            [stop_loss] => 0.011618
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01103
            [entry_price] => 0.01139
            [stop_loss] => 0.011637
            [rr_ratio] => 1.46
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01103
            [entry_price] => 0.01139
            [stop_loss] => 0.011675
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 21:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00016
            [max_drawdown] => 0.000275
            [rr_ratio] => 0.58
            [high] => 0.01166500
            [low] => 0.01123000
            [mfe_pct] => 1.4
            [mae_pct] => 2.41
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T15:56:48-04:00
            [end_at] => 2025-09-13T17:56:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000595
            [max_drawdown] => 0.000275
            [rr_ratio] => 2.16
            [high] => 0.01166500
            [low] => 0.01079500
            [mfe_pct] => 5.22
            [mae_pct] => 2.41
            [mfe_mae_ratio] => 2.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T15:56:48-04:00
            [end_at] => 2025-09-13T22:56:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01153500
            [high_after] => 0.01166500
            [low_before] => 0.01053100
            [low_after] => 0.01092900
            [is_new_high] => 
            [is_new_low] => 
        )

)