Short Trade on XNY 14 Sep 2025 at 01:37:52

Take profit at 0.01088 (2.16 %) and Stop Loss at 0.01124 (1.08 %)

Short Trade on XNY

The 14 Sep 2025 at 01:37:52

With 67272.6817 XNY at 0.01112$ per unit.

Position size of 748.0722 $

Take profit at 0.01088 (2.16 %) and Stop Loss at 0.01124 (1.08 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 80
ML Pullback Score: 4.04
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.55
Prediction 3 Probability
0 0.71
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.025414

15m : 0.14813

1H : -0.065748

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 7.927933295E-5
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0110327
  4. ema21 : 0.0112364
  5. ema50 : 0.011691
  6. ema100 : 0.0120113
  7. price_ema9_diff : 0.0079096
  8. ema9_ema21_diff : -0.0181317
  9. ema21_ema50_diff : -0.0388836
  10. price_ema100_diff : -0.0742113
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0938834
  14. ema_slope_21 : -0.243309
  15. ema_slope_50 : -0.249628
  16. ema_slope_100 : -0.16542
  17. rsi : 0.456102
  18. adx : 0.246924
  19. kc_percentage : 0.437377
  20. kc_width_percentage : 0.141591
  21. volume_ema_diff : -0.563155
  22. volume_ema1 : 418138.35916817
  23. volume_ema2 : 957179.05015553
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0109595
  28. ema21 : 0.0109793
  29. ema50 : 0.0110956
  30. ema100 : 0.0112909
  31. price_ema9_diff : 0.0146382
  32. ema9_ema21_diff : -0.00179983
  33. ema21_ema50_diff : -0.0104788
  34. price_ema100_diff : -0.0151442
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0784416
  38. ema_slope_21 : -0.126215
  39. ema_slope_50 : -0.0990575
  40. ema_slope_100 : -0.0831006
  41. rsi : 0.567126
  42. adx : 0.257787
  43. kc_percentage : 0.730778
  44. kc_width_percentage : 0.0563779
  45. volume_ema_diff : -0.628589
  46. volume_ema1 : 61527.261695644
  47. volume_ema2 : 165658.32153861
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.0110157
  52. ema21 : 0.0109363
  53. ema50 : 0.0109515
  54. ema100 : 0.0110604
  55. price_ema9_diff : 0.00946688
  56. ema9_ema21_diff : 0.00725475
  57. ema21_ema50_diff : -0.00138236
  58. price_ema100_diff : 0.00538342
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.189395
  62. ema_slope_21 : 0.107684
  63. ema_slope_50 : 0.0165655
  64. ema_slope_100 : -0.0161184
  65. rsi : 0.698896
  66. adx : 0.284497
  67. kc_percentage : 1.08352
  68. kc_width_percentage : 0.0277948
  69. volume_ema_diff : -0.521712
  70. volume_ema1 : 17666.026649618
  71. volume_ema2 : 36935.967631248
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115790
  77. 5m_price_ema100_diff:
    0.000607081
  78. 5m_price:
    115860
  79. 5m_correlation_with_coin:
    0.025414
  80. btc_indicators
  81. 15m_ema100:
    115748
  82. 15m_price_ema100_diff:
    0.000309894
  83. 15m_price:
    115784
  84. 15m_correlation_with_coin:
    0.14813
  85. btc_indicators
  86. 1H_ema100:
    114722
  87. 1H_price_ema100_diff:
    0.00991936
  88. 1H_price:
    115860
  89. 1H_correlation_with_coin:
    -0.065748
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
01:37:52
14 Sep 2025
04:25:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01112 0.01124 0.01088 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 0.01112
  • Stop Loss: 0.01124
  • Take Profit: 0.01088

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01124 - 0.01112 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01112 - 0.01088 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00012 = 2

📌 Position Size

Amount Margin Quantity Leverage
748.0722 100 67272.6817 7.48
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.01112 = 741.33

Donc, tu peux acheter 66666.67 avec un stoploss a 0.01124

Avec un position size USD de 741.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 741.33
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.16 % 16.15 $
SL % Target SL $ Target
1.08 % 8.07 $
PNL PNL %
16.15 $ 2.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8633 % 80 % 23

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01088
            [stop_loss] => 0.01124
            [rr_ratio] => 2
            [closed_at] => 2025-09-14 04:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01082
            [stop_loss] => 0.01124
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-14 04:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01076
            [stop_loss] => 0.01124
            [rr_ratio] => 3
            [closed_at] => 2025-09-14 05:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0107
            [stop_loss] => 0.01124
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-14 05:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01064
            [stop_loss] => 0.01124
            [rr_ratio] => 4
            [closed_at] => 2025-09-14 07:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000106
            [max_drawdown] => 9.6000000000001E-5
            [rr_ratio] => 1.1
            [high] => 0.01121600
            [low] => 0.01101400
            [mfe_pct] => 0.95
            [mae_pct] => 0.86
            [mfe_mae_ratio] => 1.1
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T01:37:52-04:00
            [end_at] => 2025-09-14T03:37:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000555
            [max_drawdown] => 9.6000000000001E-5
            [rr_ratio] => 5.78
            [high] => 0.01121600
            [low] => 0.01056500
            [mfe_pct] => 4.99
            [mae_pct] => 0.86
            [mfe_mae_ratio] => 5.78
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T01:37:52-04:00
            [end_at] => 2025-09-14T08:37:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01119100
            [high_after] => 0.01121600
            [low_before] => 0.01054300
            [low_after] => 0.01060600
            [is_new_high] => 
            [is_new_low] => 
        )

)