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Short Trade on WIF

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Short Trade on WIF 27 Sep 2025 at 18:07:10

Take profit at 0.7376 (0.43 %) and Stop Loss at 0.7424 (0.22 %)

Short Trade on WIF

The 27 Sep 2025 at 18:07:10

With 5014.5867 WIF at 0.7408$ per unit.

Position size of 3714.8058 $

Take profit at 0.7376 (0.43 %) and Stop Loss at 0.7424 (0.22 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.1
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.610118

15m : 0.081167

1H : 0.029702

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.001063563896
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.739819
  4. ema21 : 0.741915
  5. ema50 : 0.74619
  6. ema100 : 0.754848
  7. price_ema9_diff : 0.00132568
  8. ema9_ema21_diff : -0.00282532
  9. ema21_ema50_diff : -0.00572927
  10. price_ema100_diff : -0.0186114
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0634577
  14. ema_slope_21 : -0.0461072
  15. ema_slope_50 : -0.0400006
  16. ema_slope_100 : -0.0427687
  17. rsi : 0.473874
  18. adx : 0.210366
  19. kc_percentage : 0.454442
  20. kc_width_percentage : 0.0292543
  21. volume_ema_diff : -0.613777
  22. volume_ema1 : 548852.07626632
  23. volume_ema2 : 1421078.533161
  24. chop : 69.0237
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.738089
  28. ema21 : 0.737979
  29. ema50 : 0.740059
  30. ema100 : 0.743117
  31. price_ema9_diff : 0.00367229
  32. ema9_ema21_diff : 0.000148582
  33. ema21_ema50_diff : -0.0028104
  34. price_ema100_diff : -0.00311811
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.01556
  38. ema_slope_21 : -0.0105069
  39. ema_slope_50 : -0.0193117
  40. ema_slope_100 : -0.018036
  41. rsi : 0.574841
  42. adx : 0.216524
  43. kc_percentage : 0.834188
  44. kc_width_percentage : 0.0115872
  45. volume_ema_diff : -0.402235
  46. volume_ema1 : 134046.47182786
  47. volume_ema2 : 224246.47597064
  48. chop : 57.3003
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.739367
  52. ema21 : 0.738123
  53. ema50 : 0.737704
  54. ema100 : 0.738743
  55. price_ema9_diff : 0.00193699
  56. ema9_ema21_diff : 0.00168633
  57. ema21_ema50_diff : 0.000567647
  58. price_ema100_diff : 0.0027832
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0388397
  62. ema_slope_21 : 0.0223939
  63. ema_slope_50 : 0.00734477
  64. ema_slope_100 : -0.000285689
  65. rsi : 0.708917
  66. adx : 0.260161
  67. kc_percentage : 1.13053
  68. kc_width_percentage : 0.00559512
  69. volume_ema_diff : -0.205
  70. volume_ema1 : 47146.457080793
  71. volume_ema2 : 59303.77566001
  72. chop : 33.6466
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109339
  77. 5m_price_ema100_diff: 
    0.00104183
  78. 5m_price: 
    109453
  79. 5m_correlation_with_coin: 
    0.610118
  80. btc_indicators
  81. 15m_ema100: 
    109360
  82. 15m_price_ema100_diff: 
    0.000843433
  83. 15m_price: 
    109453
  84. 15m_correlation_with_coin: 
    0.081167
  85. btc_indicators
  86. 1H_ema100: 
    110263
  87. 1H_price_ema100_diff: 
    -0.00735472
  88. 1H_price: 
    109453
  89. 1H_correlation_with_coin: 
    0.029702
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
18:07:10		 27 Sep 2025
18:15:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7408 0.7424 0.7376 2 0.2034
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 0.7408
  • Stop Loss: 0.7424
  • Take Profit: 0.7376

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7424 - 0.7408 = 0.0015999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7408 - 0.7376 = 0.0032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0032 / 0.0015999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
3714.8058 100 5014.5867 37.15
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 0.0015999999999999

Taille de position = 8 / 0.0015999999999999 = 5000

Taille de position USD = 5000 x 0.7408 = 3704

Donc, tu peux acheter 5000 avec un stoploss a 0.7424

Avec un position size USD de 3704$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0015999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0032 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5000
  • Taille de position USD 3704
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.43 % 16.05 $
SL % Target SL $ Target
0.22 % 8.02 $
PNL PNL %
-8.02 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3645 % 168.75 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7376
            [entry_price] => 0.7408
            [stop_loss] => 0.74256
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7376
            [entry_price] => 0.7408
            [stop_loss] => 0.74272
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7376
            [entry_price] => 0.7408
            [stop_loss] => 0.74288
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7376
            [entry_price] => 0.7408
            [stop_loss] => 0.7432
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-27 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0087
            [max_drawdown] => 0.004
            [rr_ratio] => 2.18
            [high] => 0.74480000
            [low] => 0.73210000
            [mfe_pct] => 1.17
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 2.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T18:07:10-04:00
            [end_at] => 2025-09-27T20:07:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0157
            [max_drawdown] => 0.004
            [rr_ratio] => 3.93
            [high] => 0.74480000
            [low] => 0.72510000
            [mfe_pct] => 2.12
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 3.93
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T18:07:10-04:00
            [end_at] => 2025-09-28T01:07:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.74130000
            [high_after] => 0.74480000
            [low_before] => 0.73320000
            [low_after] => 0.72510000
            [is_new_high] => 
            [is_new_low] => 1
        )

)