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Short Trade on WLFI

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Short Trade on WLFI 10 Sep 2025 at 18:54:55

Take profit at 0.2 (0.99 %) and Stop Loss at 0.203 (0.5 %)

Short Trade on WLFI

The 10 Sep 2025 at 18:54:55

With 8055.6255 WLFI at 0.202$ per unit.

Position size of 1627.2364 $

Take profit at 0.2 (0.99 %) and Stop Loss at 0.203 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 2.93
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.280537

15m : 0.01232

1H : 0.048806

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0006620632172
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.201567
  4. ema21 : 0.202967
  5. ema50 : 0.206106
  6. ema100 : 0.210088
  7. price_ema9_diff : 0.00214601
  8. ema9_ema21_diff : -0.00689978
  9. ema21_ema50_diff : -0.0152301
  10. price_ema100_diff : -0.0384983
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.10958
  14. ema_slope_21 : -0.0626911
  15. ema_slope_50 : -0.0822602
  16. ema_slope_100 : -0.0758018
  17. rsi : 0.468809
  18. adx : 0.210026
  19. kc_percentage : 0.443905
  20. kc_width_percentage : 0.0766193
  21. volume_ema_diff : -0.459789
  22. volume_ema1 : 4749648.5165556
  23. volume_ema2 : 8792212.7127576
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.200541
  27. ema21 : 0.200535
  28. ema50 : 0.20182
  29. ema100 : 0.202446
  30. price_ema9_diff : 0.00727499
  31. ema9_ema21_diff : 2.91508E-5
  32. ema21_ema50_diff : -0.00637075
  33. price_ema100_diff : -0.0022031
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0552698
  37. ema_slope_21 : -0.0224049
  38. ema_slope_50 : -0.0432003
  39. ema_slope_100 : -0.0266369
  40. rsi : 0.573615
  41. adx : 0.263209
  42. kc_percentage : 0.789184
  43. kc_width_percentage : 0.0258051
  44. volume_ema_diff : -0.404968
  45. volume_ema1 : 874770.63977109
  46. volume_ema2 : 1470124.3066054
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.201127
  50. ema21 : 0.200554
  51. ema50 : 0.200317
  52. ema100 : 0.20133
  53. price_ema9_diff : 0.00433707
  54. ema9_ema21_diff : 0.00285922
  55. ema21_ema50_diff : 0.00117985
  56. price_ema100_diff : 0.00332555
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0593352
  60. ema_slope_21 : 0.042531
  61. ema_slope_50 : 0.0160639
  62. ema_slope_100 : -0.00468508
  63. rsi : 0.692583
  64. adx : 0.265058
  65. kc_percentage : 1.04042
  66. kc_width_percentage : 0.0129283
  67. volume_ema_diff : 0.0409943
  68. volume_ema1 : 388169.62962387
  69. volume_ema2 : 372883.50498823
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    113697
  74. 5m_price_ema100_diff: 
    0.000423455
  75. 5m_price: 
    113745
  76. 5m_correlation_with_coin: 
    0.280537
  77. btc_indicators
  78. 15m_ema100: 
    112843
  79. 15m_price_ema100_diff: 
    0.00845625
  80. 15m_price: 
    113797
  81. 15m_correlation_with_coin: 
    0.01232
  82. btc_indicators
  83. 1H_ema100: 
    111831
  84. 1H_price_ema100_diff: 
    0.0171128
  85. 1H_price: 
    113745
  86. 1H_correlation_with_coin: 
    0.048806
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:54:55		 10 Sep 2025
19:00:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.202 0.203 0.2 2 0.1159
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 0.202
  • Stop Loss: 0.203
  • Take Profit: 0.2

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.203 - 0.202 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.202 - 0.2 = 0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.002 / 0.001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1627.2364 100 8055.6255 16.27
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.202 = 1616

Donc, tu peux acheter 8000 avec un stoploss a 0.203

Avec un position size USD de 1616$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8000
  • Taille de position USD 1616
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.99 % 16.11 $
SL % Target SL $ Target
0.5 % 8.06 $
PNL PNL %
-8.06 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5446 % 110.02 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2
            [entry_price] => 0.202
            [stop_loss] => 0.2031
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 19:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2
            [entry_price] => 0.202
            [stop_loss] => 0.2032
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 19:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2
            [entry_price] => 0.202
            [stop_loss] => 0.2033
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 19:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2
            [entry_price] => 0.202
            [stop_loss] => 0.2035
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 21:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0014
            [rr_ratio] => 0.93
            [high] => 0.20340000
            [low] => 0.20070000
            [mfe_pct] => 0.64
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 0.93
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:54:55-04:00
            [end_at] => 2025-09-10T20:54:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0051
            [max_drawdown] => 0.0014
            [rr_ratio] => 3.64
            [high] => 0.20340000
            [low] => 0.19690000
            [mfe_pct] => 2.52
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 3.64
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:54:55-04:00
            [end_at] => 2025-09-11T01:54:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20240000
            [high_after] => 0.20340000
            [low_before] => 0.19540000
            [low_after] => 0.19810000
            [is_new_high] => 
            [is_new_low] => 
        )

)