Short Trade on WLFI 30 Sep 2025 at 16:56:55

Take profit at 0.1948 (0.92 %) and Stop Loss at 0.1975 (0.46 %)

Short Trade on WLFI

The 30 Sep 2025 at 16:56:55

With 8662.2447 WLFI at 0.1966$ per unit.

Position size of 1702.9973 $

Take profit at 0.1948 (0.92 %) and Stop Loss at 0.1975 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 2.19
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
1 0.66
Prediction 3 Probability
0 0.6
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.467544

15m : 0.159851

1H : 0.059483

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.000615698765
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.195857
  4. ema21 : 0.198415
  5. ema50 : 0.20293
  6. ema100 : 0.205807
  7. price_ema9_diff : 0.00379186
  8. ema9_ema21_diff : -0.0128913
  9. ema21_ema50_diff : -0.0222518
  10. price_ema100_diff : -0.0447389
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.231146
  14. ema_slope_21 : -0.224966
  15. ema_slope_50 : -0.169209
  16. ema_slope_100 : -0.104074
  17. rsi : 0.38802
  18. adx : 0.448306
  19. kc_percentage : 0.349202
  20. kc_width_percentage : 0.0539157
  21. volume_ema_diff : -0.333039
  22. volume_ema1 : 1737584.7206565
  23. volume_ema2 : 2605229.5337277
  24. chop : 45.1259
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.195166
  29. ema21 : 0.195068
  30. ema50 : 0.196448
  31. ema100 : 0.19852
  32. price_ema9_diff : 0.00734279
  33. ema9_ema21_diff : 0.000506116
  34. ema21_ema50_diff : -0.00702787
  35. price_ema100_diff : -0.00967612
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0391682
  39. ema_slope_21 : -0.00840536
  40. ema_slope_50 : -0.0410605
  41. ema_slope_100 : -0.0417686
  42. rsi : 0.577923
  43. adx : 0.239747
  44. kc_percentage : 0.839946
  45. kc_width_percentage : 0.0233102
  46. volume_ema_diff : -0.461615
  47. volume_ema1 : 302455.12104901
  48. volume_ema2 : 561782.26821075
  49. chop : 66.7572
  50. regime : range_medium
  51. ¸
  52. 5m
  53. ema9 : 0.195906
  54. ema21 : 0.195351
  55. ema50 : 0.195028
  56. ema100 : 0.195457
  57. price_ema9_diff : 0.00354011
  58. ema9_ema21_diff : 0.00284334
  59. ema21_ema50_diff : 0.00165351
  60. price_ema100_diff : 0.00584732
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0401768
  64. ema_slope_21 : 0.028248
  65. ema_slope_50 : 0.0126659
  66. ema_slope_100 : -3.36064E-5
  67. rsi : 0.651427
  68. adx : 0.226109
  69. kc_percentage : 1.00493
  70. kc_width_percentage : 0.0122782
  71. volume_ema_diff : -0.0669997
  72. volume_ema1 : 134258.30844875
  73. volume_ema2 : 143899.53681106
  74. chop : 46.5683
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113577
  80. 5m_price_ema100_diff:
    0.0089772
  81. 5m_price:
    114597
  82. 5m_correlation_with_coin:
    0.467544
  83. btc_indicators
  84. 15m_ema100:
    113664
  85. 15m_price_ema100_diff:
    0.00598435
  86. 15m_price:
    114345
  87. 15m_correlation_with_coin:
    0.159851
  88. btc_indicators
  89. 1H_ema100:
    111891
  90. 1H_price_ema100_diff:
    0.024184
  91. 1H_price:
    114597
  92. 1H_correlation_with_coin:
    0.059483
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
16:56:55
30 Sep 2025
17:15:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1966 0.1975 0.1948 2 0.1144
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 0.1966
  • Stop Loss: 0.1975
  • Take Profit: 0.1948

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1975 - 0.1966 = 0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1966 - 0.1948 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.00090000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1702.9973 100 8662.2447 17.03
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 0.00090000000000001

Taille de position = 8 / 0.00090000000000001 = 8888.89

Taille de position USD = 8888.89 x 0.1966 = 1747.56

Donc, tu peux acheter 8888.89 avec un stoploss a 0.1975

Avec un position size USD de 1747.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0018 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1747.56
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.92 % 15.59 $
SL % Target SL $ Target
0.46 % 7.8 $
PNL PNL %
-7.8 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5086 % 111.1 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1966
            [stop_loss] => 0.19759
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 17:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1966
            [stop_loss] => 0.19768
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1966
            [stop_loss] => 0.19777
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1948
            [entry_price] => 0.1966
            [stop_loss] => 0.19795
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 19:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.001
            [rr_ratio] => 1.3
            [high] => 0.19760000
            [low] => 0.19530000
            [mfe_pct] => 0.66
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 1.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T16:56:55-04:00
            [end_at] => 2025-09-30T18:56:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0025
            [max_drawdown] => 0.0013
            [rr_ratio] => 1.92
            [high] => 0.19790000
            [low] => 0.19410000
            [mfe_pct] => 1.27
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 1.92
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T16:56:55-04:00
            [end_at] => 2025-09-30T23:56:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19690000
            [high_after] => 0.19790000
            [low_before] => 0.19350000
            [low_after] => 0.19430000
            [is_new_high] => 
            [is_new_low] => 
        )

)