Long Trade on FXS 13 Oct 2025 at 23:07:22

Take profit at 1.705 (0.95 %) and Stop Loss at 1.681 (0.47 %)

Long Trade on FXS

The 13 Oct 2025 at 23:07:22

With 1003.0209 FXS at 1.689$ per unit.

Position size of 1694.1023 $

Take profit at 1.705 (0.95 %) and Stop Loss at 1.681 (0.47 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.9
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.75
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : bear_low_confirmed

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_low

BTC Correlation Score

5m : 0.353973

15m : 0.156601

1H : 0.186785

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.45
  4. atr: 0.005317270304
Details
  1. score: 2.45
  2. 1H
  3. ema9 : 1.71293
  4. ema21 : 1.68271
  5. ema50 : 1.63285
  6. ema100 : 1.67481
  7. price_ema9_diff : -0.0139704
  8. ema9_ema21_diff : 0.0179555
  9. ema21_ema50_diff : 0.0305335
  10. price_ema100_diff : 0.00846684
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.448231
  14. ema_slope_21 : 0.483696
  15. ema_slope_50 : 0.312438
  16. ema_slope_100 : 0.0745648
  17. rsi : 0.558291
  18. adx : 0.353205
  19. kc_percentage : 0.530444
  20. kc_width_percentage : 0.0645939
  21. volume_ema_diff : -0.708334
  22. volume_ema1 : 39730.550356224
  23. volume_ema2 : 136219.72571938
  24. chop : 40.8498
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 1.71088
  29. ema21 : 1.72059
  30. ema50 : 1.7081
  31. ema100 : 1.67377
  32. price_ema9_diff : -0.0127921
  33. ema9_ema21_diff : -0.00564478
  34. ema21_ema50_diff : 0.0073149
  35. price_ema100_diff : 0.0090937
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.149279
  39. ema_slope_21 : -0.0704772
  40. ema_slope_50 : 0.0245192
  41. ema_slope_100 : 0.0590002
  42. rsi : 0.304858
  43. adx : 0.350346
  44. kc_percentage : -0.188025
  45. kc_width_percentage : 0.0269606
  46. volume_ema_diff : -0.678903
  47. volume_ema1 : 8022.5754933182
  48. volume_ema2 : 24984.901841169
  49. chop : 38.6797
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 1.70162
  54. ema21 : 1.70995
  55. ema50 : 1.72036
  56. ema100 : 1.7247
  57. price_ema9_diff : -0.00741985
  58. ema9_ema21_diff : -0.00487194
  59. ema21_ema50_diff : -0.00604953
  60. price_ema100_diff : -0.0207001
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.0732979
  64. ema_slope_21 : -0.0651651
  65. ema_slope_50 : -0.0456082
  66. ema_slope_100 : -0.0251355
  67. rsi : 0.237909
  68. adx : 0.332147
  69. kc_percentage : -0.445549
  70. kc_width_percentage : 0.0127664
  71. volume_ema_diff : -0.223636
  72. volume_ema1 : 2858.6392428116
  73. volume_ema2 : 3682.0908359976
  74. chop : 33.6437
  75. regime : bear_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    114786
  80. 5m_price_ema100_diff:
    -0.0131841
  81. 5m_price:
    113273
  82. 5m_correlation_with_coin:
    0.353973
  83. btc_indicators
  84. 15m_ema100:
    114858
  85. 15m_price_ema100_diff:
    -0.0138025
  86. 15m_price:
    113273
  87. 15m_correlation_with_coin:
    0.156601
  88. btc_indicators
  89. 1H_ema100:
    115164
  90. 1H_price_ema100_diff:
    -0.0164212
  91. 1H_price:
    113273
  92. 1H_correlation_with_coin:
    0.186785
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Oct 2025
23:07:22
13 Oct 2025
23:20:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.689 1.681 1.705 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 1.689
  • Stop Loss: 1.681
  • Take Profit: 1.705

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.681 - 1.689 = -0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.689 - 1.705 = -0.016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.016 / -0.008 = 2

📌 Position Size

Amount Margin Quantity Leverage
1694.1023 100 1003.0209 16.94
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 -0.008

Taille de position = 8 / -0.008 = -1000

Taille de position USD = -1000 x 1.689 = -1689

Donc, tu peux acheter -1000 avec un stoploss a 1.681

Avec un position size USD de -1689$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1000 x -0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1000 x -0.016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -1000
  • Taille de position USD -1689
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.95 % 16.05 $
SL % Target SL $ Target
0.47 % 8.02 $
PNL PNL %
-8.02 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4737 % 100 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.705
            [entry_price] => 1.689
            [stop_loss] => 1.6802
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-13 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.705
            [entry_price] => 1.689
            [stop_loss] => 1.6794
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-13 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.705
            [entry_price] => 1.689
            [stop_loss] => 1.6786
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-13 23:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.705
            [entry_price] => 1.689
            [stop_loss] => 1.677
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-13 23:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.046
            [max_drawdown] => 0.021
            [rr_ratio] => 2.19
            [high] => 1.73500000
            [low] => 1.66800000
            [mfe_pct] => 2.72
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 2.19
            [candles_analyzed] => 24
            [start_at] => 2025-10-13T23:07:22-04:00
            [end_at] => 2025-10-14T01:07:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.046
            [max_drawdown] => 0.183
            [rr_ratio] => 0.25
            [high] => 1.73500000
            [low] => 1.50600000
            [mfe_pct] => 2.72
            [mae_pct] => 10.83
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-10-13T23:07:22-04:00
            [end_at] => 2025-10-14T06:07:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.75100000
            [high_after] => 1.73500000
            [low_before] => 1.68300000
            [low_after] => 1.50600000
            [is_new_high] => 
            [is_new_low] => 
        )

)