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Short Trade on CFX

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Short Trade on CFX 30 Oct 2025 at 03:17:27

Take profit at 0.1076 (1.19 %) and Stop Loss at 0.1095 (0.55 %)

Short Trade on CFX

The 30 Oct 2025 at 03:17:27

With 12635.0365 CFX at 0.1089$ per unit.

Position size of 1375.5764 $

Take profit at 0.1076 (1.19 %) and Stop Loss at 0.1095 (0.55 %)

That's a 2.17 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.88
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : range_medium
BTC Correlation Score

5m : 0.861051

15m : 0.093654

1H : 0.043942

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.000422106682
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.108739
  4. ema21 : 0.109299
  5. ema50 : 0.110669
  6. ema100 : 0.111555
  7. price_ema9_diff : 0.00119787
  8. ema9_ema21_diff : -0.00512141
  9. ema21_ema50_diff : -0.0123771
  10. price_ema100_diff : -0.0240694
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0440143
  14. ema_slope_21 : -0.0587482
  15. ema_slope_50 : -0.0739311
  16. ema_slope_100 : -0.0492827
  17. rsi : 0.469731
  18. adx : 0.380824
  19. kc_percentage : 0.447132
  20. kc_width_percentage : 0.0659783
  21. volume_ema_diff : -0.215891
  22. volume_ema1 : 127011.12364791
  23. volume_ema2 : 161981.4861048
  24. chop : 53.3709
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.108165
  28. ema21 : 0.108325
  29. ema50 : 0.10878
  30. ema100 : 0.109092
  31. price_ema9_diff : 0.00650919
  32. ema9_ema21_diff : -0.00147702
  33. ema21_ema50_diff : -0.0041786
  34. price_ema100_diff : -0.00204067
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0547637
  38. ema_slope_21 : -0.075202
  39. ema_slope_50 : -0.0488599
  40. ema_slope_100 : -0.0289139
  41. rsi : 0.531234
  42. adx : 0.239567
  43. kc_percentage : 0.669137
  44. kc_width_percentage : 0.0307539
  45. volume_ema_diff : -0.646493
  46. volume_ema1 : 16234.942255928
  47. volume_ema2 : 45925.38718455
  48. chop : 40.8624
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.108227
  52. ema21 : 0.108016
  53. ema50 : 0.108171
  54. ema100 : 0.108578
  55. price_ema9_diff : 0.00593561
  56. ema9_ema21_diff : 0.00195116
  57. ema21_ema50_diff : -0.00143169
  58. price_ema100_diff : 0.00268537
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0328456
  62. ema_slope_21 : 0.0220797
  63. ema_slope_50 : -0.0033421
  64. ema_slope_100 : -0.0102908
  65. rsi : 0.622927
  66. adx : 0.145435
  67. kc_percentage : 1.0219
  68. kc_width_percentage : 0.0148851
  69. volume_ema_diff : -0.760704
  70. volume_ema1 : 3145.4210530859
  71. volume_ema2 : 13144.510367969
  72. chop : 56.3245
  73. regime : range_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110253
  77. 5m_price_ema100_diff: 
    0.0103025
  78. 5m_price: 
    111388
  79. 5m_correlation_with_coin: 
    0.861051
  80. btc_indicators
  81. 15m_ema100: 
    111197
  82. 15m_price_ema100_diff: 
    0.00172053
  83. 15m_price: 
    111388
  84. 15m_correlation_with_coin: 
    0.093654
  85. btc_indicators
  86. 1H_ema100: 
    112582
  87. 1H_price_ema100_diff: 
    -0.0106028
  88. 1H_price: 
    111388
  89. 1H_correlation_with_coin: 
    0.043942
    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] => 2025-10-27 09:00:00
                    [1] => 0.11342
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-27 11:00:00
                    [1] => 0.12008
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 0.11378
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 0.11675
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.1173
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-28 21:00:00
                    [1] => 0.10898
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.10528
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 16:00:00
                    [1] => 0.11105
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.11083
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.10543
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -1.7684742398268
            [ms_dist_from_last_low_pct] => 3.2628284169591
            [ms_bars_since_swing_high] => 5
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 5.1218818173196
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-10-29 06:30:00
                    [1] => 0.11069
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 09:30:00
                    [1] => 0.11073
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 11:45:00
                    [1] => 0.10727
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.11077
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-29 14:30:00
                    [1] => 0.10528
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 16:30:00
                    [1] => 0.11105
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 0.10757
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 0.11083
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.10543
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 03:15:00
                    [1] => 0.109
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.11926605504588
            [ms_dist_from_last_low_pct] => 3.2628284169591
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 3.3861329792279
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [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] => 2025-10-29 20:40:00
                    [1] => 0.10837
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 21:10:00
                    [1] => 0.10978
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 0.11083
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 23:15:00
                    [1] => 0.1104
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 00:25:00
                    [1] => 0.10543
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 01:20:00
                    [1] => 0.106
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 01:50:00
                    [1] => 0.10863
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 02:25:00
                    [1] => 0.10746
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 03:05:00
                    [1] => 0.1076
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 03:15:00
                    [1] => 0.109
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.11926605504588
            [ms_dist_from_last_low_pct] => 1.1802973977695
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 1.3011152416357
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [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
-0.12%
Dist From Last Low Pct
1.18%
Bars Since Swing High
0 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
1.30%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0013
1.21%
TP to Pivot Distance
0.0022
2.02%
DateTime Price Type
2025-10-29 20:40:00 0.10837 ↓ Low
2025-10-29 21:10:00 0.10978 ↑ High
2025-10-29 22:30:00 0.11083 ↑ High
2025-10-29 23:15:00 0.1104 ↑ High
2025-10-30 00:25:00 0.10543 ↓ Low
2025-10-30 01:20:00 0.106 ↓ Low
2025-10-30 01:50:00 0.10863 ↑ High
2025-10-30 02:25:00 0.10746 ↓ Low
2025-10-30 03:05:00 0.1076 ↓ Low
2025-10-30 03:15:00 0.109 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
3.26%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
3.39%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0016
1.42%
TP to Pivot Distance
0.0023
2.16%
DateTime Price Type
2025-10-29 06:30:00 0.11069 ↑ High
2025-10-29 09:30:00 0.11073 ↑ High
2025-10-29 11:45:00 0.10727 ↓ Low
2025-10-29 14:00:00 0.11077 ↑ High
2025-10-29 14:30:00 0.10528 ↓ Low
2025-10-29 16:30:00 0.11105 ↑ High
2025-10-29 20:00:00 0.10757 ↓ Low
2025-10-29 22:30:00 0.11083 ↑ High
2025-10-30 00:15:00 0.10543 ↓ Low
2025-10-30 03:15:00 0.109 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-1.77%
Dist From Last Low Pct
3.26%
Bars Since Swing High
5 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
5.12%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0106
9.66%
TP to Pivot Distance
0.0023
2.16%
DateTime Price Type
2025-10-27 09:00:00 0.11342 ↓ Low
2025-10-27 11:00:00 0.12008 ↑ High
2025-10-28 01:00:00 0.11378 ↓ Low
2025-10-28 03:00:00 0.11675 ↑ High
2025-10-28 09:00:00 0.1173 ↑ High
2025-10-28 21:00:00 0.10898 ↓ Low
2025-10-29 14:00:00 0.10528 ↓ Low
2025-10-29 16:00:00 0.11105 ↑ High
2025-10-29 22:00:00 0.11083 ↑ High
2025-10-30 00:00:00 0.10543 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Oct 2025
03:17:27		 30 Oct 2025
04:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1089 0.1095 0.1076 2.17 0.04959
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 0.1089
  • Stop Loss: 0.1095
  • Take Profit: 0.1076

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1095 - 0.1089 = 0.0006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1089 - 0.1076 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.0006 = 2.1667

📌 Position Size

Amount Margin Quantity Leverage
1375.5764 100 12635.0365 13.76
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 0.0006

Taille de position = 8 / 0.0006 = 13333.33

Taille de position USD = 13333.33 x 0.1089 = 1452

Donc, tu peux acheter 13333.33 avec un stoploss a 0.1095

Avec un position size USD de 1452$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.0006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0013 = 17.33

Si Take Profit atteint, tu gagneras 17.33$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 1452
  • Perte potentielle 8
  • Gain potentiel 17.33
  • Risk-Reward Ratio 2.1667

📌 Peformances

TP % Target TP $ Target
1.19 % 16.43 $
SL % Target SL $ Target
0.55 % 7.58 $
PNL PNL %
16.42 $ 1.19
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1837 % 33.34 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1077
            [stop_loss] => 0.1095
            [rr_ratio] => 2
            [closed_at] => 2025-10-30 04:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1074
            [stop_loss] => 0.1095
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-30 04:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1071
            [stop_loss] => 0.1095
            [rr_ratio] => 3
            [closed_at] => 2025-10-30 05:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1068
            [stop_loss] => 0.1095
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-30 05:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1065
            [stop_loss] => 0.1095
            [rr_ratio] => 4
            [closed_at] => 2025-10-30 06:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1062
            [stop_loss] => 0.1095
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-30 07:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1059
            [stop_loss] => 0.1095
            [rr_ratio] => 5
            [closed_at] => 2025-10-30 08:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1056
            [stop_loss] => 0.1095
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-30 08:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1053
            [stop_loss] => 0.1095
            [rr_ratio] => 6
            [closed_at] => 2025-10-30 08:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.105
            [stop_loss] => 0.1095
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-30 08:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1047
            [stop_loss] => 0.1095
            [rr_ratio] => 7
            [closed_at] => 2025-10-30 08:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00203
            [max_drawdown] => 0.00020000000000001
            [rr_ratio] => 10.15
            [high] => 0.10910000
            [low] => 0.10687000
            [mfe_pct] => 1.86
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 10.15
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T03:17:27-04:00
            [end_at] => 2025-10-30T05:17:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00673
            [max_drawdown] => 0.00020000000000001
            [rr_ratio] => 33.65
            [high] => 0.10910000
            [low] => 0.10217000
            [mfe_pct] => 6.18
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 33.65
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T03:17:27-04:00
            [end_at] => 2025-10-30T10:17:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11026000
            [high_after] => 0.10910000
            [low_before] => 0.10543000
            [low_after] => 0.10355000
            [is_new_high] => 
            [is_new_low] => 1
        )

)