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Short Trade on WIF

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Short Trade on WIF 29 Sep 2025 at 10:14:44

Take profit at 0.7099 (1.66 %) and Stop Loss at 0.7279 (0.83 %)

Short Trade on WIF

The 29 Sep 2025 at 10:14:44

With 1335.945 WIF at 0.7219$ per unit.

Position size of 964.4187 $

Take profit at 0.7099 (1.66 %) and Stop Loss at 0.7279 (0.83 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.91
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.95
Prediction 2 Probability
0 0.77
Prediction 3 Probability
0 0.84
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low_confirmed

rules_regime_5m : bull_low_confirmed

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_medium
BTC Correlation Score

5m : 0.738673

15m : 0.181251

1H : 0.092257

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.003992180344
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.717118
  4. ema21 : 0.72309
  5. ema50 : 0.729255
  6. ema100 : 0.735517
  7. price_ema9_diff : 0.00666787
  8. ema9_ema21_diff : -0.00825917
  9. ema21_ema50_diff : -0.0084542
  10. price_ema100_diff : -0.0185148
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.226427
  14. ema_slope_21 : -0.123457
  15. ema_slope_50 : -0.0682147
  16. ema_slope_100 : -0.0471824
  17. rsi : 0.477057
  18. adx : 0.267109
  19. kc_percentage : 0.476643
  20. kc_width_percentage : 0.0507346
  21. volume_ema_diff : 0.64349
  22. volume_ema1 : 2105329.0475881
  23. volume_ema2 : 1281011.168569
  24. chop : 27.8992
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.710619
  28. ema21 : 0.712145
  29. ema50 : 0.719209
  30. ema100 : 0.723358
  31. price_ema9_diff : 0.0158737
  32. ema9_ema21_diff : -0.0021431
  33. ema21_ema50_diff : -0.00982124
  34. price_ema100_diff : -0.00201684
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0488434
  38. ema_slope_21 : -0.0963303
  39. ema_slope_50 : -0.082987
  40. ema_slope_100 : -0.0501505
  41. rsi : 0.594724
  42. adx : 0.39553
  43. kc_percentage : 0.89992
  44. kc_width_percentage : 0.0347487
  45. volume_ema_diff : 1.49462
  46. volume_ema1 : 1156498.6525417
  47. volume_ema2 : 463595.72771137
  48. chop : 31.9286
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.714431
  52. ema21 : 0.709876
  53. ema50 : 0.710097
  54. ema100 : 0.714635
  55. price_ema9_diff : 0.0104531
  56. ema9_ema21_diff : 0.00641722
  57. ema21_ema50_diff : -0.000310641
  58. price_ema100_diff : 0.010165
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.150513
  62. ema_slope_21 : 0.0706855
  63. ema_slope_50 : 0.00890136
  64. ema_slope_100 : -0.0120192
  65. rsi : 0.711881
  66. adx : 0.321467
  67. kc_percentage : 1.18981
  68. kc_width_percentage : 0.02379
  69. volume_ema_diff : 0.466525
  70. volume_ema1 : 371315.81716688
  71. volume_ema2 : 253194.17448479
  72. chop : 24.9511
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112140
  77. 5m_price_ema100_diff: 
    0.0135747
  78. 5m_price: 
    113663
  79. 5m_correlation_with_coin: 
    0.738673
  80. btc_indicators
  81. 15m_ema100: 
    111426
  82. 15m_price_ema100_diff: 
    0.0200754
  83. 15m_price: 
    113663
  84. 15m_correlation_with_coin: 
    0.181251
  85. btc_indicators
  86. 1H_ema100: 
    110550
  87. 1H_price_ema100_diff: 
    0.0281567
  88. 1H_price: 
    113663
  89. 1H_correlation_with_coin: 
    0.092257
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
10:14:44		 29 Sep 2025
10:25:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.7219 0.7279 0.7099 2 0.2046
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 0.7219
  • Stop Loss: 0.7279
  • Take Profit: 0.7099

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7279 - 0.7219 = 0.006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.7219 - 0.7099 = 0.012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.012 / 0.006 = 2

📌 Position Size

Amount Margin Quantity Leverage
964.4187 100 1335.945 9.64
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 0.006

Taille de position = 8 / 0.006 = 1333.33

Taille de position USD = 1333.33 x 0.7219 = 962.53

Donc, tu peux acheter 1333.33 avec un stoploss a 0.7279

Avec un position size USD de 962.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1333.33 x 0.006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1333.33 x 0.012 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1333.33
  • Taille de position USD 962.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.66 % 16.03 $
SL % Target SL $ Target
0.83 % 8.02 $
PNL PNL %
-8.02 $ -0.83
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9558 % 115 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7099
            [entry_price] => 0.7219
            [stop_loss] => 0.7285
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 10:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7099
            [entry_price] => 0.7219
            [stop_loss] => 0.7291
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 10:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7099
            [entry_price] => 0.7219
            [stop_loss] => 0.7297
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 10:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7099
            [entry_price] => 0.7219
            [stop_loss] => 0.7309
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 10:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0061
            [max_drawdown] => 0.0133
            [rr_ratio] => 0.46
            [high] => 0.73520000
            [low] => 0.71580000
            [mfe_pct] => 0.84
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T10:14:44-04:00
            [end_at] => 2025-09-29T12:14:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0143
            [max_drawdown] => 0.0157
            [rr_ratio] => 0.91
            [high] => 0.73760000
            [low] => 0.70760000
            [mfe_pct] => 1.98
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T10:14:44-04:00
            [end_at] => 2025-09-29T17:14:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.72230000
            [high_after] => 0.73520000
            [low_before] => 0.69600000
            [low_after] => 0.70760000
            [is_new_high] => 
            [is_new_low] => 
        )

)