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Short Trade on WIF

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Short Trade on WIF 20 Sep 2025 at 09:27:05

Take profit at 0.8904 (0.63 %) and Stop Loss at 0.8988 (0.31 %)

Short Trade on WIF

The 20 Sep 2025 at 09:27:05

With 2837.9987 WIF at 0.896$ per unit.

Position size of 2542.8469 $

Take profit at 0.8904 (0.63 %) and Stop Loss at 0.8988 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.27
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.579726

15m : -0.088997

1H : -0.0248

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.001879258525
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.892612
  4. ema21 : 0.898729
  5. ema50 : 0.912609
  6. ema100 : 0.917298
  7. price_ema9_diff : 0.00379485
  8. ema9_ema21_diff : -0.00680628
  9. ema21_ema50_diff : -0.0152094
  10. price_ema100_diff : -0.0232183
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0716699
  14. ema_slope_21 : -0.121715
  15. ema_slope_50 : -0.110161
  16. ema_slope_100 : -0.0597706
  17. rsi : 0.443663
  18. adx : 0.345615
  19. kc_percentage : 0.433971
  20. kc_width_percentage : 0.0355313
  21. volume_ema_diff : -0.323409
  22. volume_ema1 : 1358909.7357074
  23. volume_ema2 : 2008466.0265118
  24. chop : 68.5684
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.889774
  28. ema21 : 0.890262
  29. ema50 : 0.892949
  30. ema100 : 0.897937
  31. price_ema9_diff : 0.00699667
  32. ema9_ema21_diff : -0.000547831
  33. ema21_ema50_diff : -0.00300925
  34. price_ema100_diff : -0.00215827
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00753701
  38. ema_slope_21 : -0.0246545
  39. ema_slope_50 : -0.0243091
  40. ema_slope_100 : -0.0234524
  41. rsi : 0.53637
  42. adx : 0.18558
  43. kc_percentage : 0.925917
  44. kc_width_percentage : 0.0152559
  45. volume_ema_diff : -0.48558
  46. volume_ema1 : 128157.15358237
  47. volume_ema2 : 249129.84174221
  48. chop : 60.2957
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.892372
  52. ema21 : 0.890674
  53. ema50 : 0.890413
  54. ema100 : 0.891912
  55. price_ema9_diff : 0.00406499
  56. ema9_ema21_diff : 0.00190674
  57. ema21_ema50_diff : 0.000293183
  58. price_ema100_diff : 0.00458315
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0322366
  62. ema_slope_21 : 0.0197801
  63. ema_slope_50 : 0.00479685
  64. ema_slope_100 : -0.00205963
  65. rsi : 0.680146
  66. adx : 0.151485
  67. kc_percentage : 1.18962
  68. kc_width_percentage : 0.00849215
  69. volume_ema_diff : 2.17868
  70. volume_ema1 : 450708.11441057
  71. volume_ema2 : 141790.92624683
  72. chop : 39.8304
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    115724
  77. 5m_price_ema100_diff: 
    0.0011163
  78. 5m_price: 
    115853
  79. 5m_correlation_with_coin: 
    0.579726
  80. btc_indicators
  81. 15m_ema100: 
    115727
  82. 15m_price_ema100_diff: 
    0.00105756
  83. 15m_price: 
    115849
  84. 15m_correlation_with_coin: 
    -0.088997
  85. btc_indicators
  86. 1H_ema100: 
    116122
  87. 1H_price_ema100_diff: 
    -0.00231322
  88. 1H_price: 
    115853
  89. 1H_correlation_with_coin: 
    -0.0248
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
20 Sep 2025
09:27:05		 20 Sep 2025
09:35:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.896 0.8988 0.8904 2 0.2132
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 0.896
  • Stop Loss: 0.8988
  • Take Profit: 0.8904

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8988 - 0.896 = 0.0028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.896 - 0.8904 = 0.0056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0056 / 0.0028 = 2

📌 Position Size

Amount Margin Quantity Leverage
2542.8469 100 2837.9987 25.43
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 0.0028

Taille de position = 8 / 0.0028 = 2857.14

Taille de position USD = 2857.14 x 0.896 = 2560

Donc, tu peux acheter 2857.14 avec un stoploss a 0.8988

Avec un position size USD de 2560$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2857.14 x 0.0028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2857.14 x 0.0056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2857.14
  • Taille de position USD 2560
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.63 % 15.89 $
SL % Target SL $ Target
0.31 % 7.95 $
PNL PNL %
-7.95 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3683 % 117.86 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8904
            [entry_price] => 0.896
            [stop_loss] => 0.89908
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-20 09:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8904
            [entry_price] => 0.896
            [stop_loss] => 0.89936
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-20 09:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8904
            [entry_price] => 0.896
            [stop_loss] => 0.89964
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-20 09:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8904
            [entry_price] => 0.896
            [stop_loss] => 0.9002
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-20 10:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0172
            [rr_ratio] => 0.13
            [high] => 0.91320000
            [low] => 0.89370000
            [mfe_pct] => 0.26
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-20T09:27:05-04:00
            [end_at] => 2025-09-20T11:27:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0047
            [max_drawdown] => 0.0172
            [rr_ratio] => 0.27
            [high] => 0.91320000
            [low] => 0.89130000
            [mfe_pct] => 0.52
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-20T09:27:05-04:00
            [end_at] => 2025-09-20T16:27:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.89820000
            [high_after] => 0.91320000
            [low_before] => 0.88270000
            [low_after] => 0.89130000
            [is_new_high] => 
            [is_new_low] => 
        )

)