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Short Trade on XNY

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Short Trade on XNY 13 Sep 2025 at 15:34:22

Take profit at 0.01073 (2.9 %) and Stop Loss at 0.01121 (1.45 %)

Short Trade on XNY

The 13 Sep 2025 at 15:34:22

With 50270.2352 XNY at 0.01105$ per unit.

Position size of 555.4861 $

Take profit at 0.01073 (2.9 %) and Stop Loss at 0.01121 (1.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.18
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.56
Prediction 3 Probability
1 0.67
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_confirmed
BTC Correlation Score

5m : 0.124267

15m : 0.120694

1H : -0.002545

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.000106093264
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.0110741
  4. ema21 : 0.0114598
  5. ema50 : 0.0119426
  6. ema100 : 0.0120687
  7. price_ema9_diff : -0.00217857
  8. ema9_ema21_diff : -0.0336603
  9. ema21_ema50_diff : -0.0404248
  10. price_ema100_diff : -0.0844099
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.719535
  14. ema_slope_21 : -0.453209
  15. ema_slope_50 : -0.290275
  16. ema_slope_100 : -0.145314
  17. rsi : 0.393414
  18. adx : 0.292467
  19. kc_percentage : 0.291732
  20. kc_width_percentage : 0.167063
  21. volume_ema_diff : -0.495472
  22. volume_ema1 : 558174.00370166
  23. volume_ema2 : 1106329.7111421
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0107922
  27. ema21 : 0.0108572
  28. ema50 : 0.0111956
  29. ema100 : 0.0114752
  30. price_ema9_diff : 0.0238793
  31. ema9_ema21_diff : -0.00598464
  32. ema21_ema50_diff : -0.0302235
  33. price_ema100_diff : -0.0370619
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0336191
  37. ema_slope_21 : -0.152922
  38. ema_slope_50 : -0.199474
  39. ema_slope_100 : -0.141217
  40. rsi : 0.538702
  41. adx : 0.442157
  42. kc_percentage : 0.754829
  43. kc_width_percentage : 0.0725939
  44. volume_ema_diff : -0.52671
  45. volume_ema1 : 100053.14945807
  46. volume_ema2 : 211399.57033421
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0107935
  50. ema21 : 0.0107415
  51. ema50 : 0.0107772
  52. ema100 : 0.0109636
  53. price_ema9_diff : 0.0237629
  54. ema9_ema21_diff : 0.00483355
  55. ema21_ema50_diff : -0.00330678
  56. price_ema100_diff : 0.00787335
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0932967
  60. ema_slope_21 : 0.0382534
  61. ema_slope_50 : -0.0140967
  62. ema_slope_100 : -0.0455618
  63. rsi : 0.695938
  64. adx : 0.168868
  65. kc_percentage : 1.18758
  66. kc_width_percentage : 0.0403484
  67. volume_ema_diff : 0.274825
  68. volume_ema1 : 62847.470143781
  69. volume_ema2 : 49298.895886421
  70. regime : bull_high_confirmed
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115627
  74. 5m_price_ema100_diff: 
    0.000102293
  75. 5m_price: 
    115639
  76. 5m_correlation_with_coin: 
    0.124267
  77. btc_indicators
  78. 15m_ema100: 
    115838
  79. 15m_price_ema100_diff: 
    -0.00172231
  80. 15m_price: 
    115639
  81. 15m_correlation_with_coin: 
    0.120694
  82. btc_indicators
  83. 1H_ema100: 
    114414
  84. 1H_price_ema100_diff: 
    0.0107075
  85. 1H_price: 
    115639
  86. 1H_correlation_with_coin: 
    -0.002545
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
15:34:22		 13 Sep 2025
15:45:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01105 0.01121 0.01073 2 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 0.01105
  • Stop Loss: 0.01121
  • Take Profit: 0.01073

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01121 - 0.01105 = 0.00016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01105 - 0.01073 = 0.00032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00032 / 0.00016 = 2

📌 Position Size

Amount Margin Quantity Leverage
555.4861 100 50270.2352 5.55
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 0.00016

Taille de position = 8 / 0.00016 = 50000

Taille de position USD = 50000 x 0.01105 = 552.5

Donc, tu peux acheter 50000 avec un stoploss a 0.01121

Avec un position size USD de 552.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 50000 x 0.00016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 50000 x 0.00032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 50000
  • Taille de position USD 552.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.9 % 16.09 $
SL % Target SL $ Target
1.45 % 8.04 $
PNL PNL %
-8.04 $ -1.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.0452 % 141.24 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01073
            [entry_price] => 0.01105
            [stop_loss] => 0.011226
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 15:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01073
            [entry_price] => 0.01105
            [stop_loss] => 0.011242
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 15:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01073
            [entry_price] => 0.01105
            [stop_loss] => 0.011258
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 15:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01073
            [entry_price] => 0.01105
            [stop_loss] => 0.01129
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 15:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.6E-5
            [max_drawdown] => 0.000529
            [rr_ratio] => 0.03
            [high] => 0.01157900
            [low] => 0.01103400
            [mfe_pct] => 0.14
            [mae_pct] => 4.79
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T15:34:22-04:00
            [end_at] => 2025-09-13T17:34:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000161
            [max_drawdown] => 0.000615
            [rr_ratio] => 0.26
            [high] => 0.01166500
            [low] => 0.01088900
            [mfe_pct] => 1.46
            [mae_pct] => 5.57
            [mfe_mae_ratio] => 0.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T15:34:22-04:00
            [end_at] => 2025-09-13T22:34:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01116300
            [high_after] => 0.01166500
            [low_before] => 0.01053100
            [low_after] => 0.01098800
            [is_new_high] => 
            [is_new_low] => 
        )

)