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Short Trade on XNY

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Short Trade on XNY 13 Sep 2025 at 15:47:59

Take profit at 0.01087 (2.95 %) and Stop Loss at 0.01137 (1.52 %)

Short Trade on XNY

The 13 Sep 2025 at 15:47:59

With 48395.7731 XNY at 0.0112$ per unit.

Position size of 542.2746 $

Take profit at 0.01087 (2.95 %) and Stop Loss at 0.01137 (1.52 %)

That's a 1.94 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.6
Prediction 3 Probability
1 0.84
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 : 0.134295

15m : -0.20848

1H : 0.042922

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.27
  4. atr: 0.0001102024617
Details
  1. score: 1.27
  2. 1H
  3. ema9 : 0.0111051
  4. ema21 : 0.0114739
  5. ema50 : 0.0119487
  6. ema100 : 0.0120717
  7. price_ema9_diff : 0.00899352
  8. ema9_ema21_diff : -0.0321453
  9. ema21_ema50_diff : -0.0397337
  10. price_ema100_diff : -0.0718028
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.698221
  14. ema_slope_21 : -0.44352
  15. ema_slope_50 : -0.286181
  16. ema_slope_100 : -0.143232
  17. rsi : 0.425556
  18. adx : 0.290914
  19. kc_percentage : 0.368891
  20. kc_width_percentage : 0.166251
  21. volume_ema_diff : -0.4517
  22. volume_ema1 : 609939.406167
  23. volume_ema2 : 1112419.758491
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0108858
  27. ema21 : 0.0108945
  28. ema50 : 0.0111981
  29. ema100 : 0.0114676
  30. price_ema9_diff : 0.029316
  31. ema9_ema21_diff : -0.000799218
  32. ema21_ema50_diff : -0.0271056
  33. price_ema100_diff : -0.0229018
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.103019
  37. ema_slope_21 : -0.105108
  38. ema_slope_50 : -0.177558
  39. ema_slope_100 : -0.130846
  40. rsi : 0.580658
  41. adx : 0.421172
  42. kc_percentage : 0.910045
  43. kc_width_percentage : 0.0694821
  44. volume_ema_diff : -0.510178
  45. volume_ema1 : 102694.85341871
  46. volume_ema2 : 209657.84822709
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0109679
  50. ema21 : 0.0108422
  51. ema50 : 0.010821
  52. ema100 : 0.0109915
  53. price_ema9_diff : 0.0216164
  54. ema9_ema21_diff : 0.0115886
  55. ema21_ema50_diff : 0.00195957
  56. price_ema100_diff : 0.0194148
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.257116
  60. ema_slope_21 : 0.13423
  61. ema_slope_50 : 0.0336906
  62. ema_slope_100 : -0.0227006
  63. rsi : 0.749087
  64. adx : 0.245569
  65. kc_percentage : 1.27313
  66. kc_width_percentage : 0.0412103
  67. volume_ema_diff : -0.0322117
  68. volume_ema1 : 47613.85904991
  69. volume_ema2 : 49198.631262857
  70. regime : bull_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115632
  74. 5m_price_ema100_diff: 
    0.000232668
  75. 5m_price: 
    115659
  76. 5m_correlation_with_coin: 
    0.134295
  77. btc_indicators
  78. 15m_ema100: 
    115816
  79. 15m_price_ema100_diff: 
    -0.00135002
  80. 15m_price: 
    115659
  81. 15m_correlation_with_coin: 
    -0.20848
  82. btc_indicators
  83. 1H_ema100: 
    114414
  84. 1H_price_ema100_diff: 
    0.0108848
  85. 1H_price: 
    115659
  86. 1H_correlation_with_coin: 
    0.042922
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Sep 2025
15:47:59		 13 Sep 2025
15:50:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0112 0.01137 0.01087 1.94 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 0.0112
  • Stop Loss: 0.01137
  • Take Profit: 0.01087

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01137 - 0.0112 = 0.00017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0112 - 0.01087 = 0.00033

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00033 / 0.00017 = 1.9412

📌 Position Size

Amount Margin Quantity Leverage
542.2746 100 48395.7731 5.42
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 0.00017

Taille de position = 8 / 0.00017 = 47058.82

Taille de position USD = 47058.82 x 0.0112 = 527.06

Donc, tu peux acheter 47058.82 avec un stoploss a 0.01137

Avec un position size USD de 527.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 47058.82 x 0.00017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 47058.82 x 0.00033 = 15.53

Si Take Profit atteint, tu gagneras 15.53$

Résumé

  • Taille de position 47058.82
  • Taille de position USD 527.06
  • Perte potentielle 8
  • Gain potentiel 15.53
  • Risk-Reward Ratio 1.9412

📌 Peformances

TP % Target TP $ Target
2.95 % 15.97 $
SL % Target SL $ Target
1.52 % 8.23 $
PNL PNL %
-8.23 $ -1.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.6071 % 171.76 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01087
            [entry_price] => 0.0112
            [stop_loss] => 0.011387
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-13 15:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01087
            [entry_price] => 0.0112
            [stop_loss] => 0.011404
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-13 15:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01087
            [entry_price] => 0.0112
            [stop_loss] => 0.011421
            [rr_ratio] => 1.49
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-13 15:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01087
            [entry_price] => 0.0112
            [stop_loss] => 0.011455
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-13 15:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -3.0000000000001E-5
            [max_drawdown] => 0.000442
            [rr_ratio] => -0.07
            [high] => 0.01164200
            [low] => 0.01123000
            [mfe_pct] => -0.27
            [mae_pct] => 3.95
            [mfe_mae_ratio] => -0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-13T15:47:59-04:00
            [end_at] => 2025-09-13T17:47:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000389
            [max_drawdown] => 0.000465
            [rr_ratio] => 0.84
            [high] => 0.01166500
            [low] => 0.01081100
            [mfe_pct] => 3.47
            [mae_pct] => 4.15
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 84
            [start_at] => 2025-09-13T15:47:59-04:00
            [end_at] => 2025-09-13T22:47:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01127600
            [high_after] => 0.01166500
            [low_before] => 0.01053100
            [low_after] => 0.01098800
            [is_new_high] => 
            [is_new_low] => 
        )

)