Web3Way Logo

Short Trade on CFX

Previous Trade Next Trade

Short Trade on CFX 17 Oct 2025 at 07:26:55

Take profit at 0.1037 (2.54 %) and Stop Loss at 0.1077 (1.22 %)

Short Trade on CFX

The 17 Oct 2025 at 07:26:55

With 5888.2215 CFX at 0.1064$ per unit.

Position size of 626.3301 $

Take profit at 0.1037 (2.54 %) and Stop Loss at 0.1077 (1.22 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.63
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.5
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_high
BTC Correlation Score

5m : 0.791262

15m : 0.104501

1H : -0.006167

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0009057630209
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.104663
  4. ema21 : 0.10681
  5. ema50 : 0.11
  6. ema100 : 0.112476
  7. price_ema9_diff : 0.0163025
  8. ema9_ema21_diff : -0.0200945
  9. ema21_ema50_diff : -0.0290006
  10. price_ema100_diff : -0.0542873
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.315689
  14. ema_slope_21 : -0.288202
  15. ema_slope_50 : -0.208607
  16. ema_slope_100 : -0.13651
  17. rsi : 0.465727
  18. adx : 0.454663
  19. kc_percentage : 0.474059
  20. kc_width_percentage : 0.102696
  21. volume_ema_diff : 0.199586
  22. volume_ema1 : 311158.5384965
  23. volume_ema2 : 259388.16101313
  24. chop : 38.613
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.10338
  28. ema21 : 0.103469
  29. ema50 : 0.105299
  30. ema100 : 0.107546
  31. price_ema9_diff : 0.028915
  32. ema9_ema21_diff : -0.000854506
  33. ema21_ema50_diff : -0.017379
  34. price_ema100_diff : -0.0109399
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0793319
  38. ema_slope_21 : -0.107955
  39. ema_slope_50 : -0.13169
  40. ema_slope_100 : -0.105661
  41. rsi : 0.621408
  42. adx : 0.281136
  43. kc_percentage : 1.0017
  44. kc_width_percentage : 0.0554417
  45. volume_ema_diff : -0.379068
  46. volume_ema1 : 54248.688092022
  47. volume_ema2 : 87366.634803816
  48. chop : 32.9221
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.104761
  52. ema21 : 0.103585
  53. ema50 : 0.103279
  54. ema100 : 0.104372
  55. price_ema9_diff : 0.0153536
  56. ema9_ema21_diff : 0.0113556
  57. ema21_ema50_diff : 0.00295743
  58. price_ema100_diff : 0.0191428
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.209699
  62. ema_slope_21 : 0.123104
  63. ema_slope_50 : 0.0347042
  64. ema_slope_100 : -0.0110672
  65. rsi : 0.740904
  66. adx : 0.298879
  67. kc_percentage : 1.23633
  68. kc_width_percentage : 0.0348062
  69. volume_ema_diff : -0.307792
  70. volume_ema1 : 20431.030278073
  71. volume_ema2 : 29515.752404013
  72. chop : 24.9186
  73. regime : bull_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106291
  77. 5m_price_ema100_diff: 
    -0.000435104
  78. 5m_price: 
    106244
  79. 5m_correlation_with_coin: 
    0.791262
  80. btc_indicators
  81. 15m_ema100: 
    107969
  82. 15m_price_ema100_diff: 
    -0.0177175
  83. 15m_price: 
    106057
  84. 15m_correlation_with_coin: 
    0.104501
  85. btc_indicators
  86. 1H_ema100: 
    110851
  87. 1H_price_ema100_diff: 
    -0.0415547
  88. 1H_price: 
    106244
  89. 1H_correlation_with_coin: 
    -0.006167
    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] => 2025-10-14 21:00:00
                    [1] => 0.11575
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.12124
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.11084
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-15 23:00:00
                    [1] => 0.11473
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.10918
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.11533
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.10629
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.10635
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 23:00:00
                    [1] => 0.10971
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-17 04:00:00
                    [1] => 0.09864
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -3.363412633306
            [ms_dist_from_last_low_pct] => 7.4817518248175
            [ms_bars_since_swing_high] => 8
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 11.222627737226
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-10-16 13:15:00
                    [1] => 0.11202
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.10637
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.10831
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.10635
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 0.1097
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 22:30:00
                    [1] => 0.10773
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 23:45:00
                    [1] => 0.10971
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 04:15:00
                    [1] => 0.09864
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 05:30:00
                    [1] => 0.1043
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-17 07:15:00
                    [1] => 0.10695
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.8695652173913
            [ms_dist_from_last_low_pct] => 7.4817518248175
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 2.5407478427613
            [ms_bos_up] => 1
            [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] => 2025-10-16 23:10:00
                    [1] => 0.10869
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 23:55:00
                    [1] => 0.10971
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 00:20:00
                    [1] => 0.10857
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-17 00:30:00
                    [1] => 0.10956
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-17 01:30:00
                    [1] => 0.1094
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 04:20:00
                    [1] => 0.09864
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-17 05:35:00
                    [1] => 0.1043
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 06:20:00
                    [1] => 0.10076
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 07:25:00
                    [1] => 0.10695
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.8695652173913
            [ms_dist_from_last_low_pct] => 5.2203255260024
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 6.143310837634
            [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
-0.87%
Dist From Last Low Pct
5.22%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
6.14%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0020
1.87%
TP to Pivot Distance
0.0051
4.88%
DateTime Price Type
2025-10-16 23:10:00 0.10869 ↓ Low
2025-10-16 23:55:00 0.10971 ↑ High
2025-10-17 00:20:00 0.10857 ↓ Low
2025-10-17 00:30:00 0.10956 ↑ High
2025-10-17 01:30:00 0.1094 ↑ High
2025-10-17 04:20:00 0.09864 ↓ Low
2025-10-17 05:35:00 0.1043 ↑ High
2025-10-17 06:20:00 0.10076 ↓ Low
2025-10-17 07:25:00 0.10695 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.87%
Dist From Last Low Pct
7.48%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
2.54%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0043
4.01%
TP to Pivot Distance
0.0051
4.88%
DateTime Price Type
2025-10-16 13:15:00 0.11202 ↑ High
2025-10-16 16:30:00 0.10637 ↓ Low
2025-10-16 18:00:00 0.10831 ↑ High
2025-10-16 19:00:00 0.10635 ↓ Low
2025-10-16 21:00:00 0.1097 ↑ High
2025-10-16 22:30:00 0.10773 ↓ Low
2025-10-16 23:45:00 0.10971 ↑ High
2025-10-17 04:15:00 0.09864 ↓ Low
2025-10-17 05:30:00 0.1043 ↑ High
2025-10-17 07:15:00 0.10695 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-3.36%
Dist From Last Low Pct
7.48%
Bars Since Swing High
8 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
11.22%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0135
12.57%
TP to Pivot Distance
0.0051
4.88%
DateTime Price Type
2025-10-14 21:00:00 0.11575 ↓ Low
2025-10-15 04:00:00 0.12124 ↑ High
2025-10-15 16:00:00 0.11084 ↓ Low
2025-10-15 23:00:00 0.11473 ↑ High
2025-10-16 05:00:00 0.10918 ↓ Low
2025-10-16 08:00:00 0.11533 ↑ High
2025-10-16 12:00:00 0.10629 ↓ Low
2025-10-16 19:00:00 0.10635 ↓ Low
2025-10-16 23:00:00 0.10971 ↑ High
2025-10-17 04:00:00 0.09864 ↓ Low

📌 Time Data

Start at Closed at Duration
17 Oct 2025
07:26:55		 17 Oct 2025
12:00:00		 4 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1064 0.1077 0.1037 2.08 0.04985
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 0.1064
  • Stop Loss: 0.1077
  • Take Profit: 0.1037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1077 - 0.1064 = 0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1064 - 0.1037 = 0.0027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0027 / 0.0013 = 2.0769

📌 Position Size

Amount Margin Quantity Leverage
626.3301 100 5888.2215 6.26
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 0.0013

Taille de position = 8 / 0.0013 = 6153.85

Taille de position USD = 6153.85 x 0.1064 = 654.77

Donc, tu peux acheter 6153.85 avec un stoploss a 0.1077

Avec un position size USD de 654.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6153.85 x 0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6153.85 x 0.0027 = 16.62

Si Take Profit atteint, tu gagneras 16.62$

Résumé

  • Taille de position 6153.85
  • Taille de position USD 654.77
  • Perte potentielle 8
  • Gain potentiel 16.62
  • Risk-Reward Ratio 2.0769

📌 Peformances

TP % Target TP $ Target
2.54 % 15.9 $
SL % Target SL $ Target
1.22 % 7.65 $
PNL PNL %
-7.65 $ -1.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.8421 % 150.77 % 21

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1037
            [entry_price] => 0.1064
            [stop_loss] => 0.10783
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1037
            [entry_price] => 0.1064
            [stop_loss] => 0.10796
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1037
            [entry_price] => 0.1064
            [stop_loss] => 0.10809
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1037
            [entry_price] => 0.1064
            [stop_loss] => 0.10835
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-17 12:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00155
            [max_drawdown] => 0.00063000000000001
            [rr_ratio] => 2.46
            [high] => 0.10703000
            [low] => 0.10485000
            [mfe_pct] => 1.46
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 2.46
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T07:26:55-04:00
            [end_at] => 2025-10-17T09:26:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00218
            [max_drawdown] => 0.00196
            [rr_ratio] => 1.11
            [high] => 0.10836000
            [low] => 0.10422000
            [mfe_pct] => 2.05
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T07:26:55-04:00
            [end_at] => 2025-10-17T14:26:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10695000
            [high_after] => 0.10836000
            [low_before] => 0.09864000
            [low_after] => 0.10422000
            [is_new_high] => 
            [is_new_low] => 
        )

)