Web3Way Logo

Short Trade on WIF

Previous Trade Next Trade

Short Trade on WIF 12 Oct 2025 at 00:27:32

Take profit at 0.4729 (2.09 %) and Stop Loss at 0.488 (1.04 %)

Short Trade on WIF

The 12 Oct 2025 at 00:27:32

With 1587.899 WIF at 0.483$ per unit.

Position size of 766.9552 $

Take profit at 0.4729 (2.09 %) and Stop Loss at 0.488 (1.04 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 1.77
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.99
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 : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.71415

15m : -0.125143

1H : 0.165041

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.003358735945
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.477974
  4. ema21 : 0.4932
  5. ema50 : 0.547428
  6. ema100 : 0.609137
  7. price_ema9_diff : 0.0105145
  8. ema9_ema21_diff : -0.0308728
  9. ema21_ema50_diff : -0.0990592
  10. price_ema100_diff : -0.207075
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.450774
  14. ema_slope_21 : -0.531568
  15. ema_slope_50 : -0.598853
  16. ema_slope_100 : -0.456045
  17. rsi : 0.407937
  18. adx : 0.483001
  19. kc_percentage : 0.374256
  20. kc_width_percentage : 0.140248
  21. volume_ema_diff : -0.40344
  22. volume_ema1 : 2139504.4962796
  23. volume_ema2 : 3586406.284141
  24. chop : 66.1795
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.475395
  28. ema21 : 0.475232
  29. ema50 : 0.480965
  30. ema100 : 0.486364
  31. price_ema9_diff : 0.0159958
  32. ema9_ema21_diff : 0.000342626
  33. ema21_ema50_diff : -0.0119189
  34. price_ema100_diff : -0.00691799
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00741294
  38. ema_slope_21 : -0.0533491
  39. ema_slope_50 : -0.0838272
  40. ema_slope_100 : -0.0627693
  41. rsi : 0.558928
  42. adx : 0.17101
  43. kc_percentage : 0.805858
  44. kc_width_percentage : 0.0534712
  45. volume_ema_diff : -0.318393
  46. volume_ema1 : 428137.78414622
  47. volume_ema2 : 628130.49059744
  48. chop : 55.6434
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.47888
  52. ema21 : 0.476295
  53. ema50 : 0.474666
  54. ema100 : 0.474667
  55. price_ema9_diff : 0.00860251
  56. ema9_ema21_diff : 0.00542748
  57. ema21_ema50_diff : 0.00343053
  58. price_ema100_diff : 0.0175547
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0949847
  62. ema_slope_21 : 0.0799173
  63. ema_slope_50 : 0.0374646
  64. ema_slope_100 : 0.0160286
  65. rsi : 0.656518
  66. adx : 0.215325
  67. kc_percentage : 1.00005
  68. kc_width_percentage : 0.027154
  69. volume_ema_diff : -0.27029
  70. volume_ema1 : 151258.75157725
  71. volume_ema2 : 207286.22177237
  72. chop : 54.6421
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    110509
  77. 5m_price_ema100_diff: 
    0.00440209
  78. 5m_price: 
    110996
  79. 5m_correlation_with_coin: 
    0.71415
  80. btc_indicators
  81. 15m_ema100: 
    111157
  82. 15m_price_ema100_diff: 
    -0.00158141
  83. 15m_price: 
    110982
  84. 15m_correlation_with_coin: 
    -0.125143
  85. btc_indicators
  86. 1H_ema100: 
    116630
  87. 1H_price_ema100_diff: 
    -0.0483066
  88. 1H_price: 
    110996
  89. 1H_correlation_with_coin: 
    0.165041
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 Oct 2025
00:27:32		 12 Oct 2025
02:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.483 0.488 0.4729 2.02 0.2104
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 0.483
  • Stop Loss: 0.488
  • Take Profit: 0.4729

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.488 - 0.483 = 0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.483 - 0.4729 = 0.0101

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0101 / 0.005 = 2.02

📌 Position Size

Amount Margin Quantity Leverage
766.9552 100 1587.899 7.67
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 0.005

Taille de position = 8 / 0.005 = 1600

Taille de position USD = 1600 x 0.483 = 772.8

Donc, tu peux acheter 1600 avec un stoploss a 0.488

Avec un position size USD de 772.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1600 x 0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1600 x 0.0101 = 16.16

Si Take Profit atteint, tu gagneras 16.16$

Résumé

  • Taille de position 1600
  • Taille de position USD 772.8
  • Perte potentielle 8
  • Gain potentiel 16.16
  • Risk-Reward Ratio 2.02

📌 Peformances

TP % Target TP $ Target
2.09 % 16.04 $
SL % Target SL $ Target
1.04 % 7.94 $
PNL PNL %
-7.94 $ -1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2008 % 116 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4729
            [entry_price] => 0.483
            [stop_loss] => 0.4885
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-12 02:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4729
            [entry_price] => 0.483
            [stop_loss] => 0.489
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-12 03:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4729
            [entry_price] => 0.483
            [stop_loss] => 0.4895
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-12 05:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.4729
            [entry_price] => 0.483
            [stop_loss] => 0.4905
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-12 05:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0041
            [max_drawdown] => 0.0058
            [rr_ratio] => 0.71
            [high] => 0.48880000
            [low] => 0.47890000
            [mfe_pct] => 0.85
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.71
            [candles_analyzed] => 24
            [start_at] => 2025-10-12T00:27:32-04:00
            [end_at] => 2025-10-12T02:27:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0122
            [max_drawdown] => 0.0061
            [rr_ratio] => 2
            [high] => 0.48910000
            [low] => 0.47080000
            [mfe_pct] => 2.53
            [mae_pct] => 1.26
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 84
            [start_at] => 2025-10-12T00:27:32-04:00
            [end_at] => 2025-10-12T07:27:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.48430000
            [high_after] => 0.48910000
            [low_before] => 0.46220000
            [low_after] => 0.47080000
            [is_new_high] => 
            [is_new_low] => 
        )

)