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Short Trade on CFX

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Short Trade on CFX 14 Nov 2025 at 02:01:29

Take profit at 0.08823 (1.74 %) and Stop Loss at 0.09057 (0.87 %)

Short Trade on CFX

The 14 Nov 2025 at 02:01:29

With 10267.4804 CFX at 0.08979$ per unit.

Position size of 921.9171 $

Take profit at 0.08823 (1.74 %) and Stop Loss at 0.09057 (0.87 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 100
ML Pullback Score: 8
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high_confirmed

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.807414

15m : 0.086018

1H : 0.00425

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005194393485
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0894481
  4. ema21 : 0.0909076
  5. ema50 : 0.0939625
  6. ema100 : 0.0964393
  7. price_ema9_diff : 0.00382162
  8. ema9_ema21_diff : -0.0160549
  9. ema21_ema50_diff : -0.0325118
  10. price_ema100_diff : -0.0689483
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.278576
  14. ema_slope_21 : -0.324968
  15. ema_slope_50 : -0.253726
  16. ema_slope_100 : -0.166945
  17. rsi : 0.4091
  18. adx : 0.369461
  19. kc_percentage : 0.349702
  20. kc_width_percentage : 0.0729636
  21. volume_ema_diff : -0.558586
  22. volume_ema1 : 221476.99828893
  23. volume_ema2 : 501745.28282455
  24. chop : 57.1365
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0888593
  28. ema21 : 0.0889047
  29. ema50 : 0.0897862
  30. ema100 : 0.0915547
  31. price_ema9_diff : 0.0104729
  32. ema9_ema21_diff : -0.000509821
  33. ema21_ema50_diff : -0.00981856
  34. price_ema100_diff : -0.0192756
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0431148
  38. ema_slope_21 : -0.0532464
  39. ema_slope_50 : -0.0696506
  40. ema_slope_100 : -0.0740019
  41. rsi : 0.570466
  42. adx : 0.258721
  43. kc_percentage : 0.760831
  44. kc_width_percentage : 0.038496
  45. volume_ema_diff : -0.0480512
  46. volume_ema1 : 68210.504383518
  47. volume_ema2 : 71653.5431489
  48. chop : 39.6095
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0887385
  52. ema21 : 0.0885343
  53. ema50 : 0.0886531
  54. ema100 : 0.0889465
  55. price_ema9_diff : 0.0118492
  56. ema9_ema21_diff : 0.00230658
  57. ema21_ema50_diff : -0.00134015
  58. price_ema100_diff : 0.00948271
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0104576
  62. ema_slope_21 : -0.0021199
  63. ema_slope_50 : -0.0123356
  64. ema_slope_100 : -0.0135458
  65. rsi : 0.662215
  66. adx : 0.193572
  67. kc_percentage : 1.08391
  68. kc_width_percentage : 0.0238744
  69. volume_ema_diff : 0.1261
  70. volume_ema1 : 32063.112473561
  71. volume_ema2 : 28472.69998548
  72. chop : 36.674
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    98412.4
  77. 5m_price_ema100_diff: 
    -0.00877728
  78. 5m_price: 
    97548.7
  79. 5m_correlation_with_coin: 
    0.807414
  80. btc_indicators
  81. 15m_ema100: 
    100062
  82. 15m_price_ema100_diff: 
    -0.0251198
  83. 15m_price: 
    97548.7
  84. 15m_correlation_with_coin: 
    0.086018
  85. btc_indicators
  86. 1H_ema100: 
    102533
  87. 1H_price_ema100_diff: 
    -0.0486129
  88. 1H_price: 
    97548.7
  89. 1H_correlation_with_coin: 
    0.00425
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-11 02:00:00
                    [1] => 0.09654
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-11 11:00:00
                    [1] => 0.14715
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-11 21:00:00
                    [1] => 0.09719
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-12 07:00:00
                    [1] => 0.10595
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-12 14:00:00
                    [1] => 0.09375
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-12 23:00:00
                    [1] => 0.09806
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 09:00:00
                    [1] => 0.09661
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-13 16:00:00
                    [1] => 0.0877
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-13 23:00:00
                    [1] => 0.08606
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-14 02:00:00
                    [1] => 0.08979
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.6236774696514
            [ms_dist_from_last_low_pct] => 3.6834766442017
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 4.3341854520102
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-13 09:30:00
                    [1] => 0.09376
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-13 09:45:00
                    [1] => 0.09661
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-13 14:00:00
                    [1] => 0.09176
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-13 14:45:00
                    [1] => 0.08816
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-13 16:15:00
                    [1] => 0.0877
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-13 18:30:00
                    [1] => 0.09092
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 20:45:00
                    [1] => 0.08873
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-13 23:30:00
                    [1] => 0.08606
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-14 01:45:00
                    [1] => 0.08727
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-14 02:00:00
                    [1] => 0.08979
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.6236774696514
            [ms_dist_from_last_low_pct] => 2.2459035178183
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.8875902371949
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-13 20:25:00
                    [1] => 0.08972
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-13 20:55:00
                    [1] => 0.08873
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-13 21:40:00
                    [1] => 0.0897
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-13 21:55:00
                    [1] => 0.08912
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-13 22:30:00
                    [1] => 0.08965
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-13 22:45:00
                    [1] => 0.08891
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-13 23:35:00
                    [1] => 0.08606
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-14 00:35:00
                    [1] => 0.08921
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-14 01:45:00
                    [1] => 0.08727
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-14 02:00:00
                    [1] => 0.08979
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.6236774696514
            [ms_dist_from_last_low_pct] => 2.2459035178183
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 2.8875902371949
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.62%
Dist From Last Low Pct
2.25%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
2.89%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
0.86%
TP to Pivot Distance
0.0022
2.46%
DateTime Price Type
2025-11-13 20:25:00 0.08972 ↑ High
2025-11-13 20:55:00 0.08873 ↓ Low
2025-11-13 21:40:00 0.0897 ↑ High
2025-11-13 21:55:00 0.08912 ↓ Low
2025-11-13 22:30:00 0.08965 ↑ High
2025-11-13 22:45:00 0.08891 ↓ Low
2025-11-13 23:35:00 0.08606 ↓ Low
2025-11-14 00:35:00 0.08921 ↑ High
2025-11-14 01:45:00 0.08727 ↓ Low
2025-11-14 02:00:00 0.08979 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.62%
Dist From Last Low Pct
2.25%
Bars Since Swing High
0 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.89%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0060
6.67%
TP to Pivot Distance
0.0022
2.46%
DateTime Price Type
2025-11-13 09:30:00 0.09376 ↓ Low
2025-11-13 09:45:00 0.09661 ↑ High
2025-11-13 14:00:00 0.09176 ↑ High
2025-11-13 14:45:00 0.08816 ↓ Low
2025-11-13 16:15:00 0.0877 ↓ Low
2025-11-13 18:30:00 0.09092 ↑ High
2025-11-13 20:45:00 0.08873 ↓ Low
2025-11-13 23:30:00 0.08606 ↓ Low
2025-11-14 01:45:00 0.08727 ↓ Low
2025-11-14 02:00:00 0.08979 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.62%
Dist From Last Low Pct
3.68%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
4.33%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0566
62.47%
TP to Pivot Distance
0.0022
2.46%
DateTime Price Type
2025-11-11 02:00:00 0.09654 ↓ Low
2025-11-11 11:00:00 0.14715 ↑ High
2025-11-11 21:00:00 0.09719 ↓ Low
2025-11-12 07:00:00 0.10595 ↑ High
2025-11-12 14:00:00 0.09375 ↓ Low
2025-11-12 23:00:00 0.09806 ↑ High
2025-11-13 09:00:00 0.09661 ↑ High
2025-11-13 16:00:00 0.0877 ↓ Low
2025-11-13 23:00:00 0.08606 ↓ Low
2025-11-14 02:00:00 0.08979 ↑ High

📌 Time Data

Start at Closed at Duration
14 Nov 2025
02:01:29		 14 Nov 2025
03:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.08979 0.09057 0.08823 2 0.0499
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 0.08979
  • Stop Loss: 0.09057
  • Take Profit: 0.08823

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09057 - 0.08979 = 0.00078

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.08979 - 0.08823 = 0.00156

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00156 / 0.00078 = 2

📌 Position Size

Amount Margin Quantity Leverage
921.9171 100 10267.4804 9.22
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 0.00078

Taille de position = 8 / 0.00078 = 10256.41

Taille de position USD = 10256.41 x 0.08979 = 920.92

Donc, tu peux acheter 10256.41 avec un stoploss a 0.09057

Avec un position size USD de 920.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10256.41 x 0.00078 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10256.41 x 0.00156 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10256.41
  • Taille de position USD 920.92
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.74 % 16.02 $
SL % Target SL $ Target
0.87 % 8.01 $
PNL PNL %
16.02 $ 1.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.08823
            [stop_loss] => 0.09057
            [rr_ratio] => 2
            [closed_at] => 2025-11-14 03:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.08784
            [stop_loss] => 0.09057
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-14 04:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.08745
            [stop_loss] => 0.09057
            [rr_ratio] => 3
            [closed_at] => 2025-11-14 04:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.08706
            [stop_loss] => 0.09057
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-14 06:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.08667
            [stop_loss] => 0.09057
            [rr_ratio] => 4
            [closed_at] => 2025-11-14 06:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.08628
            [stop_loss] => 0.09057
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-14 06:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.08589
            [stop_loss] => 0.09057
            [rr_ratio] => 5
            [closed_at] => 2025-11-14 07:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00159
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.08977000
            [low] => 0.08820000
            [mfe_pct] => 1.77
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T02:01:29-05:00
            [end_at] => 2025-11-14T04:01:29-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00426
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.08977000
            [low] => 0.08553000
            [mfe_pct] => 4.74
            [mae_pct] => -0.02
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T02:01:29-05:00
            [end_at] => 2025-11-14T09:01:29-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08979000
            [high_after] => 0.08977000
            [low_before] => 0.08606000
            [low_after] => 0.08553000
            [is_new_high] => 
            [is_new_low] => 1
        )

)