Short Trade on CFX 22 Sep 2025 at 19:45:23

Take profit at 0.1477 (1.14 %) and Stop Loss at 0.1503 (0.6 %)

Short Trade on CFX

The 22 Sep 2025 at 19:45:23

With 9331.8928 CFX at 0.1494$ per unit.

Position size of 1394.2781 $

Take profit at 0.1477 (1.14 %) and Stop Loss at 0.1503 (0.6 %)

That's a 1.89 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 8.11
Prediction Score: 4
Prediction 1 Probability
Strong Trade
0.64
Prediction 2 Probability
0 0.58
Prediction 3 Probability
1 0.67
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.304957

15m : -0.004093

1H : 0.071372

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0005715167816
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.147119
  4. ema21 : 0.150561
  5. ema50 : 0.15943
  6. ema100 : 0.167642
  7. price_ema9_diff : 0.0155699
  8. ema9_ema21_diff : -0.022859
  9. ema21_ema50_diff : -0.05563
  10. price_ema100_diff : -0.108758
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.298531
  14. ema_slope_21 : -0.491217
  15. ema_slope_50 : -0.413096
  16. ema_slope_100 : -0.283646
  17. rsi : 0.398923
  18. adx : 0.740987
  19. kc_percentage : 0.425878
  20. kc_width_percentage : 0.0706842
  21. volume_ema_diff : -0.411866
  22. volume_ema1 : 633887.10213058
  23. volume_ema2 : 1077794.8537099
  24. chop : 59.831
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.148101
  29. ema21 : 0.147038
  30. ema50 : 0.147546
  31. ema100 : 0.151737
  32. price_ema9_diff : 0.00883346
  33. ema9_ema21_diff : 0.00723348
  34. ema21_ema50_diff : -0.00344854
  35. price_ema100_diff : -0.0153373
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.151106
  39. ema_slope_21 : 0.108084
  40. ema_slope_50 : 0.00674317
  41. ema_slope_100 : -0.060063
  42. rsi : 0.669348
  43. adx : 0.290662
  44. kc_percentage : 1.07114
  45. kc_width_percentage : 0.0271465
  46. volume_ema_diff : -0.61503
  47. volume_ema1 : 99590.016582811
  48. volume_ema2 : 258695.657767
  49. chop : 45.1883
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.148654
  54. ema21 : 0.14801
  55. ema50 : 0.147003
  56. ema100 : 0.145978
  57. price_ema9_diff : 0.00508011
  58. ema9_ema21_diff : 0.00435259
  59. ema21_ema50_diff : 0.00684869
  60. price_ema100_diff : 0.0235047
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0592088
  64. ema_slope_21 : 0.0573977
  65. ema_slope_50 : 0.0481434
  66. ema_slope_100 : 0.0366573
  67. rsi : 0.721948
  68. adx : 0.397439
  69. kc_percentage : 1.07426
  70. kc_width_percentage : 0.0157904
  71. volume_ema_diff : -0.267072
  72. volume_ema1 : 39134.831796308
  73. volume_ema2 : 53395.248985808
  74. chop : 43.3567
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112566
  80. 5m_price_ema100_diff:
    0.000264401
  81. 5m_price:
    112596
  82. 5m_correlation_with_coin:
    0.304957
  83. btc_indicators
  84. 15m_ema100:
    113158
  85. 15m_price_ema100_diff:
    -0.00497096
  86. 15m_price:
    112596
  87. 15m_correlation_with_coin:
    -0.004093
  88. btc_indicators
  89. 1H_ema100:
    114903
  90. 1H_price_ema100_diff:
    -0.0200789
  91. 1H_price:
    112596
  92. 1H_correlation_with_coin:
    0.071372
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
19:45:23
22 Sep 2025
20:45:00
59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1494 0.1503 0.1477 1.89 0.04692
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 0.1494
  • Stop Loss: 0.1503
  • Take Profit: 0.1477

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1503 - 0.1494 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1494 - 0.1477 = 0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0017 / 0.00089999999999998 = 1.8889

📌 Position Size

Amount Margin Quantity Leverage
1394.2781 100 9331.8928 13.94
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.1494 = 1328

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1503

Avec un position size USD de 1328$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0017 = 15.11

Si Take Profit atteint, tu gagneras 15.11$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1328
  • Perte potentielle 8
  • Gain potentiel 15.11
  • Risk-Reward Ratio 1.8889

📌 Peformances

TP % Target TP $ Target
1.14 % 15.86 $
SL % Target SL $ Target
0.6 % 8.4 $
PNL PNL %
-8.4 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6693 % 111.11 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1477
            [entry_price] => 0.1494
            [stop_loss] => 0.15039
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1477
            [entry_price] => 0.1494
            [stop_loss] => 0.15048
            [rr_ratio] => 1.57
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 21:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1477
            [entry_price] => 0.1494
            [stop_loss] => 0.15057
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 21:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1477
            [entry_price] => 0.1494
            [stop_loss] => 0.15075
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 21:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00318
            [max_drawdown] => 0.001
            [rr_ratio] => 3.18
            [high] => 0.15040000
            [low] => 0.14622000
            [mfe_pct] => 2.13
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 3.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T19:45:23-04:00
            [end_at] => 2025-09-22T21:45:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00783
            [max_drawdown] => 0.001
            [rr_ratio] => 7.83
            [high] => 0.15040000
            [low] => 0.14157000
            [mfe_pct] => 5.24
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 7.83
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T19:45:23-04:00
            [end_at] => 2025-09-23T02:45:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15009000
            [high_after] => 0.15040000
            [low_before] => 0.14440000
            [low_after] => 0.14415000
            [is_new_high] => 
            [is_new_low] => 1
        )

)