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Short Trade on WIF

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Short Trade on WIF 14 Sep 2025 at 13:38:52

Take profit at 0.9272 (1.19 %) and Stop Loss at 0.944 (0.6 %)

Short Trade on WIF

The 14 Sep 2025 at 13:38:52

With 1425.7213 WIF at 0.9384$ per unit.

Position size of 1337.8969 $

Take profit at 0.9272 (1.19 %) and Stop Loss at 0.944 (0.6 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.05
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.630258

15m : 0.170192

1H : 0.056903

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.00374079656
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.936069
  4. ema21 : 0.946873
  5. ema50 : 0.94728
  6. ema100 : 0.935229
  7. price_ema9_diff : 0.00248982
  8. ema9_ema21_diff : -0.0114098
  9. ema21_ema50_diff : -0.000429584
  10. price_ema100_diff : 0.00338997
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.249338
  14. ema_slope_21 : -0.154474
  15. ema_slope_50 : -0.0334738
  16. ema_slope_100 : 0.0165604
  17. rsi : 0.436228
  18. adx : 0.237761
  19. kc_percentage : 0.361011
  20. kc_width_percentage : 0.0609699
  21. volume_ema_diff : 0.11829
  22. volume_ema1 : 2946583.2357031
  23. volume_ema2 : 2634900.2982954
  24. regime : range_high
    25. ¸
  25. 15m
  26. ema9 : 0.928666
  27. ema21 : 0.930767
  28. ema50 : 0.941191
  29. ema100 : 0.95095
  30. price_ema9_diff : 0.010481
  31. ema9_ema21_diff : -0.00225677
  32. ema21_ema50_diff : -0.0110758
  33. price_ema100_diff : -0.0131981
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0434649
  37. ema_slope_21 : -0.0957168
  38. ema_slope_50 : -0.0898677
  39. ema_slope_100 : -0.0632853
  40. rsi : 0.550657
  41. adx : 0.338292
  42. kc_percentage : 0.776433
  43. kc_width_percentage : 0.0308607
  44. volume_ema_diff : -0.0699486
  45. volume_ema1 : 681013.31218383
  46. volume_ema2 : 732231.93788768
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.931315
  50. ema21 : 0.927439
  51. ema50 : 0.928332
  52. ema100 : 0.935415
  53. price_ema9_diff : 0.00760719
  54. ema9_ema21_diff : 0.0041793
  55. ema21_ema50_diff : -0.000962484
  56. price_ema100_diff : 0.00319073
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0763884
  60. ema_slope_21 : 0.0457083
  61. ema_slope_50 : 0.00299045
  62. ema_slope_100 : -0.0165616
  63. rsi : 0.694294
  64. adx : 0.237224
  65. kc_percentage : 1.23711
  66. kc_width_percentage : 0.0156131
  67. volume_ema_diff : 0.107196
  68. volume_ema1 : 311540.85627369
  69. volume_ema2 : 281378.11020662
  70. regime : bull_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115539
  74. 5m_price_ema100_diff: 
    -9.38308E-5
  75. 5m_price: 
    115528
  76. 5m_correlation_with_coin: 
    0.630258
  77. btc_indicators
  78. 15m_ema100: 
    115596
  79. 15m_price_ema100_diff: 
    -0.000369876
  80. 15m_price: 
    115554
  81. 15m_correlation_with_coin: 
    0.170192
  82. btc_indicators
  83. 1H_ema100: 
    115224
  84. 1H_price_ema100_diff: 
    0.00263557
  85. 1H_price: 
    115528
  86. 1H_correlation_with_coin: 
    0.056903
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
13:38:52		 14 Sep 2025
13:45:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9384 0.944 0.9272 2 0.1971
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 0.9384
  • Stop Loss: 0.944
  • Take Profit: 0.9272

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.944 - 0.9384 = 0.0055999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9384 - 0.9272 = 0.0112

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0112 / 0.0055999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1337.8969 100 1425.7213 13.38
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 0.0055999999999999

Taille de position = 8 / 0.0055999999999999 = 1428.57

Taille de position USD = 1428.57 x 0.9384 = 1340.57

Donc, tu peux acheter 1428.57 avec un stoploss a 0.944

Avec un position size USD de 1340.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1428.57 x 0.0055999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1428.57 x 0.0112 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1428.57
  • Taille de position USD 1340.57
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.19 % 15.97 $
SL % Target SL $ Target
0.6 % 7.98 $
PNL PNL %
-7.98 $ -0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8738 % 146.41 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9272
            [entry_price] => 0.9384
            [stop_loss] => 0.94456
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9272
            [entry_price] => 0.9384
            [stop_loss] => 0.94512
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9272
            [entry_price] => 0.9384
            [stop_loss] => 0.94568
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9272
            [entry_price] => 0.9384
            [stop_loss] => 0.9468
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 17:10:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0103
            [max_drawdown] => 0.0082
            [rr_ratio] => 1.26
            [high] => 0.94660000
            [low] => 0.92810000
            [mfe_pct] => 1.1
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T13:38:52-04:00
            [end_at] => 2025-09-14T15:38:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0142
            [max_drawdown] => 0.0082
            [rr_ratio] => 1.73
            [high] => 0.94660000
            [low] => 0.92420000
            [mfe_pct] => 1.51
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 1.73
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T13:38:52-04:00
            [end_at] => 2025-09-14T20:38:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.94030000
            [high_after] => 0.94660000
            [low_before] => 0.91270000
            [low_after] => 0.92420000
            [is_new_high] => 
            [is_new_low] => 
        )

)