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Short Trade on WIF

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Short Trade on WIF 16 Jan 2026 at 03:21:44

Take profit at 0.3837 (0.65 %) and Stop Loss at 0.3874 (0.31 %)

Short Trade on WIF

The 16 Jan 2026 at 03:21:44

With 6504.4489 WIF at 0.3862$ per unit.

Position size of 2512.0182 $

Take profit at 0.3837 (0.65 %) and Stop Loss at 0.3874 (0.31 %)

That's a 2.08 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 7.8
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.73
Prediction 2 Probability
0 0.45
Prediction 3 Probability
1 0.78
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.101748

15m : -0.246537

1H : -0.108558

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0008199516083
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.384019
  4. ema21 : 0.386491
  5. ema50 : 0.391776
  6. ema100 : 0.392435
  7. price_ema9_diff : 0.00567684
  8. ema9_ema21_diff : -0.00639388
  9. ema21_ema50_diff : -0.0134902
  10. price_ema100_diff : -0.0158892
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0305329
  14. ema_slope_21 : -0.118578
  15. ema_slope_50 : -0.101804
  16. ema_slope_100 : -0.048707
  17. rsi : 0.467654
  18. adx : 0.261906
  19. kc_percentage : 0.499023
  20. kc_width_percentage : 0.046246
  21. volume_ema_diff : -0.597836
  22. volume_ema1 : 153800.27644144
  23. volume_ema2 : 382431.90089105
  24. chop : 72.4388
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.38406
  28. ema21 : 0.383541
  29. ema50 : 0.384185
  30. ema100 : 0.386707
  31. price_ema9_diff : 0.00557014
  32. ema9_ema21_diff : 0.00135329
  33. ema21_ema50_diff : -0.00167665
  34. price_ema100_diff : -0.00131256
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0479056
  38. ema_slope_21 : 0.0159476
  39. ema_slope_50 : -0.00594406
  40. ema_slope_100 : -0.0175984
  41. rsi : 0.615939
  42. adx : 0.158702
  43. kc_percentage : 0.920567
  44. kc_width_percentage : 0.0162921
  45. volume_ema_diff : -0.39376
  46. volume_ema1 : 34717.42625286
  47. volume_ema2 : 57266.822124557
  48. chop : 51.4784
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.384716
  52. ema21 : 0.383999
  53. ema50 : 0.383465
  54. ema100 : 0.383505
  55. price_ema9_diff : 0.00385736
  56. ema9_ema21_diff : 0.00186471
  57. ema21_ema50_diff : 0.0013926
  58. price_ema100_diff : 0.00702499
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0211577
  62. ema_slope_21 : 0.0154082
  63. ema_slope_50 : 0.00900864
  64. ema_slope_100 : 0.00333691
  65. rsi : 0.682022
  66. adx : 0.247625
  67. kc_percentage : 1.15119
  68. kc_width_percentage : 0.00859369
  69. volume_ema_diff : 0.0515737
  70. volume_ema1 : 17367.843201508
  71. volume_ema2 : 16516.047943033
  72. chop : 34.3013
  73. regime : bull_low_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    95547.2
  77. 5m_price_ema100_diff: 
    0.00170625
  78. 5m_price: 
    95710.3
  79. 5m_correlation_with_coin: 
    0.101748
  80. btc_indicators
  81. 15m_ema100: 
    95860.7
  82. 15m_price_ema100_diff: 
    -0.00156897
  83. 15m_price: 
    95710.3
  84. 15m_correlation_with_coin: 
    -0.246537
  85. btc_indicators
  86. 1H_ema100: 
    94786.4
  87. 1H_price_ema100_diff: 
    0.00974663
  88. 1H_price: 
    95710.3
  89. 1H_correlation_with_coin: 
    -0.108558
    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] => 2026-01-13 18:00:00
                    [1] => 0.435
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-14 00:00:00
                    [1] => 0.4102
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-14 05:00:00
                    [1] => 0.4273
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-14 11:00:00
                    [1] => 0.4292
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-14 13:00:00
                    [1] => 0.4058
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-14 22:00:00
                    [1] => 0.3882
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2026-01-15 04:00:00
                    [1] => 0.4002
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-15 14:00:00
                    [1] => 0.3757
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-15 23:00:00
                    [1] => 0.3792
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-16 03:00:00
                    [1] => 0.3867
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.25859839668994
            [ms_dist_from_last_low_pct] => 1.714135021097
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.9778481012658
            [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] => 2026-01-15 15:00:00
                    [1] => 0.3836
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-15 17:30:00
                    [1] => 0.388
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2026-01-15 18:30:00
                    [1] => 0.3834
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2026-01-15 19:30:00
                    [1] => 0.3863
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-15 21:15:00
                    [1] => 0.3811
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-15 23:00:00
                    [1] => 0.385
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-15 23:45:00
                    [1] => 0.3792
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-16 00:45:00
                    [1] => 0.3846
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-16 02:30:00
                    [1] => 0.3823
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-16 03:15:00
                    [1] => 0.3867
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.25859839668994
            [ms_dist_from_last_low_pct] => 0.88935391054146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.1509285901125
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [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] => 2026-01-15 22:30:00
                    [1] => 0.3812
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2026-01-15 23:10:00
                    [1] => 0.385
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2026-01-15 23:50:00
                    [1] => 0.3792
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2026-01-16 00:50:00
                    [1] => 0.3846
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-16 01:10:00
                    [1] => 0.3822
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-16 01:45:00
                    [1] => 0.3841
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-16 02:00:00
                    [1] => 0.3827
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-16 02:20:00
                    [1] => 0.385
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-16 02:40:00
                    [1] => 0.3823
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-16 03:20:00
                    [1] => 0.3867
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.25859839668994
            [ms_dist_from_last_low_pct] => 0.88935391054146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.1509285901125
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
0.89%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.15%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0007
0.18%
TP to Pivot Distance
0.0045
1.17%
DateTime Price Type
2026-01-15 22:30:00 0.3812 ↓ Low
2026-01-15 23:10:00 0.385 ↑ High
2026-01-15 23:50:00 0.3792 ↓ Low
2026-01-16 00:50:00 0.3846 ↑ High
2026-01-16 01:10:00 0.3822 ↓ Low
2026-01-16 01:45:00 0.3841 ↑ High
2026-01-16 02:00:00 0.3827 ↓ Low
2026-01-16 02:20:00 0.385 ↑ High
2026-01-16 02:40:00 0.3823 ↓ Low
2026-01-16 03:20:00 0.3867 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
0.89%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.15%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0006
0.15%
TP to Pivot Distance
0.0045
1.17%
DateTime Price Type
2026-01-15 15:00:00 0.3836 ↑ High
2026-01-15 17:30:00 0.388 ↑ High
2026-01-15 18:30:00 0.3834 ↓ Low
2026-01-15 19:30:00 0.3863 ↑ High
2026-01-15 21:15:00 0.3811 ↓ Low
2026-01-15 23:00:00 0.385 ↑ High
2026-01-15 23:45:00 0.3792 ↓ Low
2026-01-16 00:45:00 0.3846 ↑ High
2026-01-16 02:30:00 0.3823 ↓ Low
2026-01-16 03:15:00 0.3867 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.26%
Dist From Last Low Pct
1.71%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.98%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0476
12.29%
TP to Pivot Distance
0.0080
2.08%
DateTime Price Type
2026-01-13 18:00:00 0.435 ↑ High
2026-01-14 00:00:00 0.4102 ↓ Low
2026-01-14 05:00:00 0.4273 ↑ High
2026-01-14 11:00:00 0.4292 ↑ High
2026-01-14 13:00:00 0.4058 ↓ Low
2026-01-14 22:00:00 0.3882 ↓ Low
2026-01-15 04:00:00 0.4002 ↑ High
2026-01-15 14:00:00 0.3757 ↓ Low
2026-01-15 23:00:00 0.3792 ↓ Low
2026-01-16 03:00:00 0.3867 ↑ High

📌 Time Data

Start at Closed at Duration
16 Jan 2026
03:21:44		 16 Jan 2026
03:30:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3862 0.3874 0.3837 2.08 0.1987
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 0.3862
  • Stop Loss: 0.3874
  • Take Profit: 0.3837

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3874 - 0.3862 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3862 - 0.3837 = 0.0025

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0025 / 0.0012 = 2.0833

📌 Position Size

Amount Margin Quantity Leverage
2512.0182 100 6504.4489 25.12
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.3862 = 2574.67

Donc, tu peux acheter 6666.67 avec un stoploss a 0.3874

Avec un position size USD de 2574.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0025 = 16.67

Si Take Profit atteint, tu gagneras 16.67$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 2574.67
  • Perte potentielle 8
  • Gain potentiel 16.67
  • Risk-Reward Ratio 2.0833

📌 Peformances

TP % Target TP $ Target
0.65 % 16.26 $
SL % Target SL $ Target
0.31 % 7.81 $
PNL PNL %
-7.81 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3366 % 108.34 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3837
            [entry_price] => 0.3862
            [stop_loss] => 0.38752
            [rr_ratio] => 1.89
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-01-16 04:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.3837
            [entry_price] => 0.3862
            [stop_loss] => 0.38764
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-01-16 04:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.3837
            [entry_price] => 0.3862
            [stop_loss] => 0.38776
            [rr_ratio] => 1.6
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-01-16 04:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.3837
            [entry_price] => 0.3862
            [stop_loss] => 0.388
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-01-16 04:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0036
            [max_drawdown] => 0.0013
            [rr_ratio] => 2.77
            [high] => 0.38750000
            [low] => 0.38260000
            [mfe_pct] => 0.93
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 2.77
            [candles_analyzed] => 24
            [start_at] => 2026-01-16T03:21:44-05:00
            [end_at] => 2026-01-16T05:21:44-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0103
            [max_drawdown] => 0.0013
            [rr_ratio] => 7.92
            [high] => 0.38750000
            [low] => 0.37590000
            [mfe_pct] => 2.67
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 7.92
            [candles_analyzed] => 84
            [start_at] => 2026-01-16T03:21:44-05:00
            [end_at] => 2026-01-16T10:21:44-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.38670000
            [high_after] => 0.38750000
            [low_before] => 0.37920000
            [low_after] => 0.37810000
            [is_new_high] => 
            [is_new_low] => 1
        )

)