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Long Trade on WLFI

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Long Trade on WLFI 16 Sep 2025 at 05:34:59

Take profit at 0.2228 (1.6 %) and Stop Loss at 0.2176 (0.78 %)

Long Trade on WLFI

The 16 Sep 2025 at 05:34:59

With 4571.7412 WLFI at 0.2193$ per unit.

Position size of 1002.5828 $

Take profit at 0.2228 (1.6 %) and Stop Loss at 0.2176 (0.78 %)

That's a 2.06 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 3.72
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_medium_confirmed
BTC Correlation Score

5m : 0.341358

15m : 0.001449

1H : 0.005667

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001166586895
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.220839
  4. ema21 : 0.219035
  5. ema50 : 0.217043
  6. ema100 : 0.214012
  7. price_ema9_diff : -0.00697033
  8. ema9_ema21_diff : 0.00823391
  9. ema21_ema50_diff : 0.00918106
  10. price_ema100_diff : 0.0247043
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.262768
  14. ema_slope_21 : 0.16848
  15. ema_slope_50 : 0.0908359
  16. ema_slope_100 : 0.071719
  17. rsi : 0.515362
  18. adx : 0.14043
  19. kc_percentage : 0.50902
  20. kc_width_percentage : 0.0774366
  21. volume_ema_diff : -0.268661
  22. volume_ema1 : 5161075.705415
  23. volume_ema2 : 7057024.4934385
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.221676
  27. ema21 : 0.22205
  28. ema50 : 0.220494
  29. ema100 : 0.217709
  30. price_ema9_diff : -0.0107184
  31. ema9_ema21_diff : -0.00168564
  32. ema21_ema50_diff : 0.00705497
  33. price_ema100_diff : 0.00730641
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0380013
  37. ema_slope_21 : 0.0142308
  38. ema_slope_50 : 0.0468463
  39. ema_slope_100 : 0.0509546
  40. rsi : 0.402249
  41. adx : 0.206765
  42. kc_percentage : 0.144551
  43. kc_width_percentage : 0.0355638
  44. volume_ema_diff : 0.224699
  45. volume_ema1 : 1779767.6237904
  46. volume_ema2 : 1453227.8158594
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.221052
  50. ema21 : 0.221977
  51. ema50 : 0.222473
  52. ema100 : 0.222345
  53. price_ema9_diff : -0.00792647
  54. ema9_ema21_diff : -0.00417041
  55. ema21_ema50_diff : -0.00222654
  56. price_ema100_diff : -0.0136963
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.113634
  60. ema_slope_21 : -0.0724719
  61. ema_slope_50 : -0.0297026
  62. ema_slope_100 : -0.0113836
  63. rsi : 0.306816
  64. adx : 0.304098
  65. kc_percentage : -0.055897
  66. kc_width_percentage : 0.0215566
  67. volume_ema_diff : 1.06715
  68. volume_ema1 : 1123795.6080661
  69. volume_ema2 : 543644.85665708
  70. regime : bear_medium_confirmed
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115534
  74. 5m_price_ema100_diff: 
    -0.000253575
  75. 5m_price: 
    115504
  76. 5m_correlation_with_coin: 
    0.341358
  77. btc_indicators
  78. 15m_ema100: 
    115233
  79. 15m_price_ema100_diff: 
    0.0023517
  80. 15m_price: 
    115504
  81. 15m_correlation_with_coin: 
    0.001449
  82. btc_indicators
  83. 1H_ema100: 
    115422
  84. 1H_price_ema100_diff: 
    0.000716558
  85. 1H_price: 
    115504
  86. 1H_correlation_with_coin: 
    0.005667
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
05:34:59		 16 Sep 2025
08:30:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2193 0.2176 0.2228 2.06 0.1156
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 0.2193
  • Stop Loss: 0.2176
  • Take Profit: 0.2228

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2176 - 0.2193 = -0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2193 - 0.2228 = -0.0035

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0035 / -0.0017 = 2.0588

📌 Position Size

Amount Margin Quantity Leverage
1002.5828 100 4571.7412 10.03
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 -0.0017

Taille de position = 8 / -0.0017 = -4705.88

Taille de position USD = -4705.88 x 0.2193 = -1032

Donc, tu peux acheter -4705.88 avec un stoploss a 0.2176

Avec un position size USD de -1032$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4705.88 x -0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4705.88 x -0.0035 = 16.47

Si Take Profit atteint, tu gagneras 16.47$

Résumé

  • Taille de position -4705.88
  • Taille de position USD -1032
  • Perte potentielle 8
  • Gain potentiel 16.47
  • Risk-Reward Ratio 2.0588

📌 Peformances

TP % Target TP $ Target
1.6 % 16 $
SL % Target SL $ Target
0.78 % 7.77 $
PNL PNL %
-7.77 $ -0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8208 % 105.88 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2228
            [entry_price] => 0.2193
            [stop_loss] => 0.21743
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 08:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2228
            [entry_price] => 0.2193
            [stop_loss] => 0.21726
            [rr_ratio] => 1.72
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 08:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2228
            [entry_price] => 0.2193
            [stop_loss] => 0.21709
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 09:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2228
            [entry_price] => 0.2193
            [stop_loss] => 0.21675
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 09:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.00059999999999999
            [rr_ratio] => 4.33
            [high] => 0.22190000
            [low] => 0.21870000
            [mfe_pct] => 1.19
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 4.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T05:34:59-04:00
            [end_at] => 2025-09-16T07:34:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0026
            [max_drawdown] => 0.0062
            [rr_ratio] => 0.42
            [high] => 0.22190000
            [low] => 0.21310000
            [mfe_pct] => 1.19
            [mae_pct] => 2.83
            [mfe_mae_ratio] => 0.42
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T05:34:59-04:00
            [end_at] => 2025-09-16T12:34:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22620000
            [high_after] => 0.22190000
            [low_before] => 0.21910000
            [low_after] => 0.21310000
            [is_new_high] => 
            [is_new_low] => 
        )

)