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Short Trade on FXS

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Short Trade on FXS 14 Oct 2025 at 11:46:44

Take profit at 1.5526 (1.8 %) and Stop Loss at 1.5952 (0.9 %)

Short Trade on FXS

The 14 Oct 2025 at 11:46:44

With 562.4699 FXS at 1.581$ per unit.

Position size of 889.2649 $

Take profit at 1.5526 (1.8 %) and Stop Loss at 1.5952 (0.9 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.06
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.692166

15m : 0.123046

1H : -0.015519

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.00948198928
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 1.57362
  4. ema21 : 1.6067
  5. ema50 : 1.61156
  6. ema100 : 1.65556
  7. price_ema9_diff : 0.0046868
  8. ema9_ema21_diff : -0.0205916
  9. ema21_ema50_diff : -0.00301029
  10. price_ema100_diff : -0.0450363
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.701774
  14. ema_slope_21 : -0.388011
  15. ema_slope_50 : -0.115556
  16. ema_slope_100 : -0.106235
  17. rsi : 0.440094
  18. adx : 0.391261
  19. kc_percentage : 0.345593
  20. kc_width_percentage : 0.0997041
  21. volume_ema_diff : -0.409522
  22. volume_ema1 : 102616.75030896
  23. volume_ema2 : 173786.05504054
  24. chop : 32.9755
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 1.55938
  28. ema21 : 1.55863
  29. ema50 : 1.58837
  30. ema100 : 1.62303
  31. price_ema9_diff : 0.0138584
  32. ema9_ema21_diff : 0.000482809
  33. ema21_ema50_diff : -0.0187214
  34. price_ema100_diff : -0.0258968
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.045812
  38. ema_slope_21 : -0.0562713
  39. ema_slope_50 : -0.119972
  40. ema_slope_100 : -0.100968
  41. rsi : 0.576135
  42. adx : 0.339564
  43. kc_percentage : 0.831236
  44. kc_width_percentage : 0.0438468
  45. volume_ema_diff : -0.640783
  46. volume_ema1 : 14142.597835288
  47. volume_ema2 : 39370.673125553
  48. chop : 46.7786
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.56541
  52. ema21 : 1.55686
  53. ema50 : 1.5529
  54. ema100 : 1.55514
  55. price_ema9_diff : 0.0099528
  56. ema9_ema21_diff : 0.00549293
  57. ema21_ema50_diff : 0.00255162
  58. price_ema100_diff : 0.0166242
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.10087
  62. ema_slope_21 : 0.0716813
  63. ema_slope_50 : 0.0282375
  64. ema_slope_100 : 0.00826526
  65. rsi : 0.646063
  66. adx : 0.300067
  67. kc_percentage : 1.12889
  68. kc_width_percentage : 0.0238187
  69. volume_ema_diff : -0.207699
  70. volume_ema1 : 6745.3783998641
  71. volume_ema2 : 8513.6658426295
  72. chop : 49.7128
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111343
  77. 5m_price_ema100_diff: 
    0.00715699
  78. 5m_price: 
    112139
  79. 5m_correlation_with_coin: 
    0.692166
  80. btc_indicators
  81. 15m_ema100: 
    112726
  82. 15m_price_ema100_diff: 
    -0.0052013
  83. 15m_price: 
    112139
  84. 15m_correlation_with_coin: 
    0.123046
  85. btc_indicators
  86. 1H_ema100: 
    114392
  87. 1H_price_ema100_diff: 
    -0.0196907
  88. 1H_price: 
    112139
  89. 1H_correlation_with_coin: 
    -0.015519
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Oct 2025
11:46:44		 14 Oct 2025
11:50:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.581 1.5952 1.5526 2 0.803
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 1.581
  • Stop Loss: 1.5952
  • Take Profit: 1.5526

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.5952 - 1.581 = 0.0142

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.581 - 1.5526 = 0.0284

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0284 / 0.0142 = 2

📌 Position Size

Amount Margin Quantity Leverage
889.2649 100 562.4699 8.89
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 0.0142

Taille de position = 8 / 0.0142 = 563.38

Taille de position USD = 563.38 x 1.581 = 890.7

Donc, tu peux acheter 563.38 avec un stoploss a 1.5952

Avec un position size USD de 890.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 563.38 x 0.0142 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 563.38 x 0.0284 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 563.38
  • Taille de position USD 890.7
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.8 % 15.97 $
SL % Target SL $ Target
0.9 % 7.99 $
PNL PNL %
-7.99 $ -0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3283 % 147.88 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.5526
            [entry_price] => 1.581
            [stop_loss] => 1.59662
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.5526
            [entry_price] => 1.581
            [stop_loss] => 1.59804
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.5526
            [entry_price] => 1.581
            [stop_loss] => 1.59946
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-14 11:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.5526
            [entry_price] => 1.581
            [stop_loss] => 1.6023
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-14 11:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.002
            [max_drawdown] => 0.05
            [rr_ratio] => -0.04
            [high] => 1.63100000
            [low] => 1.58300000
            [mfe_pct] => -0.13
            [mae_pct] => 3.16
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 24
            [start_at] => 2025-10-14T11:46:44-04:00
            [end_at] => 2025-10-14T13:46:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.002
            [max_drawdown] => 0.05
            [rr_ratio] => -0.04
            [high] => 1.63100000
            [low] => 1.58300000
            [mfe_pct] => -0.13
            [mae_pct] => 3.16
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 84
            [start_at] => 2025-10-14T11:46:44-04:00
            [end_at] => 2025-10-14T18:46:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.58600000
            [high_after] => 1.63100000
            [low_before] => 1.51100000
            [low_after] => 1.58300000
            [is_new_high] => 
            [is_new_low] => 
        )

)