Short Trade on WLFI 11 Sep 2025 at 17:40:00

Take profit at 0.1946 (2.01 %) and Stop Loss at 0.2006 (1.01 %)

Short Trade on WLFI

The 11 Sep 2025 at 17:40:00

With 3951.394 WLFI at 0.1986$ per unit.

Position size of 784.7469 $

Take profit at 0.1946 (2.01 %) and Stop Loss at 0.2006 (1.01 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.72
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.381211

15m : 0.165987

1H : 0.073716

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.001349734621
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.197098
  4. ema21 : 0.198902
  5. ema50 : 0.201965
  6. ema100 : 0.207032
  7. price_ema9_diff : 0.00761675
  8. ema9_ema21_diff : -0.00906882
  9. ema21_ema50_diff : -0.0151664
  10. price_ema100_diff : -0.0407299
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.156905
  14. ema_slope_21 : -0.109851
  15. ema_slope_50 : -0.0968681
  16. ema_slope_100 : -0.0944814
  17. rsi : 0.482056
  18. adx : 0.211361
  19. kc_percentage : 0.490067
  20. kc_width_percentage : 0.0940984
  21. volume_ema_diff : 0.264904
  22. volume_ema1 : 8828258.8911213
  23. volume_ema2 : 6979389.0570617
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.195772
  28. ema21 : 0.195669
  29. ema50 : 0.19738
  30. ema100 : 0.198566
  31. price_ema9_diff : 0.0144451
  32. ema9_ema21_diff : 0.000522973
  33. ema21_ema50_diff : -0.00866721
  34. price_ema100_diff : 0.000171015
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0215465
  38. ema_slope_21 : -0.0953039
  39. ema_slope_50 : -0.0858985
  40. ema_slope_100 : -0.0534783
  41. rsi : 0.611854
  42. adx : 0.29385
  43. kc_percentage : 0.808449
  44. kc_width_percentage : 0.0488508
  45. volume_ema_diff : 0.239748
  46. volume_ema1 : 2414485.8826153
  47. volume_ema2 : 1947560.8603604
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.197217
  52. ema21 : 0.195467
  53. ema50 : 0.195068
  54. ema100 : 0.196266
  55. price_ema9_diff : 0.00700841
  56. ema9_ema21_diff : 0.00895654
  57. ema21_ema50_diff : 0.00204306
  58. price_ema100_diff : 0.0118891
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.181334
  62. ema_slope_21 : 0.119972
  63. ema_slope_50 : 0.0346267
  64. ema_slope_100 : -0.000359494
  65. rsi : 0.699693
  66. adx : 0.37503
  67. kc_percentage : 1.03203
  68. kc_width_percentage : 0.0288061
  69. volume_ema_diff : 0.257508
  70. volume_ema1 : 1019992.4908479
  71. volume_ema2 : 811121.68758575
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114235
  77. 5m_price_ema100_diff:
    0.00199788
  78. 5m_price:
    114463
  79. 5m_correlation_with_coin:
    0.381211
  80. btc_indicators
  81. 15m_ema100:
    114076
  82. 15m_price_ema100_diff:
    0.00320184
  83. 15m_price:
    114441
  84. 15m_correlation_with_coin:
    0.165987
  85. btc_indicators
  86. 1H_ema100:
    112798
  87. 1H_price_ema100_diff:
    0.0147619
  88. 1H_price:
    114463
  89. 1H_correlation_with_coin:
    0.073716
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
17:40:00
11 Sep 2025
18:20:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1986 0.2006 0.1946 2 0.1054
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 0.1986
  • Stop Loss: 0.2006
  • Take Profit: 0.1946

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2006 - 0.1986 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1986 - 0.1946 = 0.004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.004 / 0.002 = 2

📌 Position Size

Amount Margin Quantity Leverage
784.7469 100 3951.394 7.85
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.1986 = 794.4

Donc, tu peux acheter 4000 avec un stoploss a 0.2006

Avec un position size USD de 794.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.004 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 4000
  • Taille de position USD 794.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.01 % 15.81 $
SL % Target SL $ Target
1.01 % 7.9 $
PNL PNL %
-7.9 $ -1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1581 % 115 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1946
            [entry_price] => 0.1986
            [stop_loss] => 0.2008
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 18:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1946
            [entry_price] => 0.1986
            [stop_loss] => 0.201
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 20:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1946
            [entry_price] => 0.1986
            [stop_loss] => 0.2012
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 20:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1946
            [entry_price] => 0.1986
            [stop_loss] => 0.2016
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 20:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0023
            [rr_ratio] => 0.96
            [high] => 0.20090000
            [low] => 0.19640000
            [mfe_pct] => 1.11
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.96
            [candles_analyzed] => 25
            [start_at] => 2025-09-11T17:40:00-04:00
            [end_at] => 2025-09-11T19:40:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.0047
            [rr_ratio] => 0.47
            [high] => 0.20330000
            [low] => 0.19640000
            [mfe_pct] => 1.11
            [mae_pct] => 2.37
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 85
            [start_at] => 2025-09-11T17:40:00-04:00
            [end_at] => 2025-09-12T00:40:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20030000
            [high_after] => 0.20330000
            [low_before] => 0.18410000
            [low_after] => 0.19640000
            [is_new_high] => 
            [is_new_low] => 
        )

)