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Long Trade on WIF

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Long Trade on WIF 16 Sep 2025 at 23:56:19

Take profit at 0.951 (1.12 %) and Stop Loss at 0.9353 (0.55 %)

Long Trade on WIF

The 16 Sep 2025 at 23:56:19

With 1528.0942 WIF at 0.9405$ per unit.

Position size of 1437.1726 $

Take profit at 0.951 (1.12 %) and Stop Loss at 0.9353 (0.55 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.05
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.57
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.465364

15m : 0.00482

1H : -0.004266

 1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.003490186128
Details
  1. score: 2.23
  2. 1H
  3. ema9 : 0.944001
  4. ema21 : 0.927414
  5. ema50 : 0.917243
  6. ema100 : 0.923999
  7. price_ema9_diff : -0.00370961
  8. ema9_ema21_diff : 0.0178855
  9. ema21_ema50_diff : 0.0110892
  10. price_ema100_diff : 0.0178576
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.442593
  14. ema_slope_21 : 0.326925
  15. ema_slope_50 : 0.13774
  16. ema_slope_100 : 0.0405972
  17. rsi : 0.605479
  18. adx : 0.425603
  19. kc_percentage : 0.720556
  20. kc_width_percentage : 0.0580802
  21. volume_ema_diff : 0.121936
  22. volume_ema1 : 2691506.3087096
  23. volume_ema2 : 2398983.3619329
  24. regime : bull_high
    25. ¸
  25. 15m
  26. ema9 : 0.951506
  27. ema21 : 0.951383
  28. ema50 : 0.938897
  29. ema100 : 0.922388
  30. price_ema9_diff : -0.0115678
  31. ema9_ema21_diff : 0.000129454
  32. ema21_ema50_diff : 0.0132993
  33. price_ema100_diff : 0.0196356
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.077071
  37. ema_slope_21 : 0.0243614
  38. ema_slope_50 : 0.0806203
  39. ema_slope_100 : 0.077669
  40. rsi : 0.438501
  41. adx : 0.43405
  42. kc_percentage : 0.0775098
  43. kc_width_percentage : 0.0281159
  44. volume_ema_diff : -0.394737
  45. volume_ema1 : 388442.06256508
  46. volume_ema2 : 641774.8316275
  47. regime : bull_medium
    48. ¸
  48. 5m
  49. ema9 : 0.945941
  50. ema21 : 0.950186
  51. ema50 : 0.952339
  52. ema100 : 0.948248
  53. price_ema9_diff : -0.00575198
  54. ema9_ema21_diff : -0.00446815
  55. ema21_ema50_diff : -0.00226101
  56. price_ema100_diff : -0.00817132
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : -0.0918451
  60. ema_slope_21 : -0.0579003
  61. ema_slope_50 : -0.0233023
  62. ema_slope_100 : 0.000231084
  63. rsi : 0.288513
  64. adx : 0.266033
  65. kc_percentage : -0.229151
  66. kc_width_percentage : 0.0137771
  67. volume_ema_diff : 0.363843
  68. volume_ema1 : 302962.90692898
  69. volume_ema2 : 222139.00649553
  70. regime : bear_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    116612
  74. 5m_price_ema100_diff: 
    -0.00197639
  75. 5m_price: 
    116382
  76. 5m_correlation_with_coin: 
    0.465364
  77. btc_indicators
  78. 15m_ema100: 
    116077
  79. 15m_price_ema100_diff: 
    0.0028385
  80. 15m_price: 
    116407
  81. 15m_correlation_with_coin: 
    0.00482
  82. btc_indicators
  83. 1H_ema100: 
    115770
  84. 1H_price_ema100_diff: 
    0.00528853
  85. 1H_price: 
    116382
  86. 1H_correlation_with_coin: 
    -0.004266
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
23:56:19		 17 Sep 2025
00:15:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9405 0.9353 0.951 2.02 0.2063
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 0.9405
  • Stop Loss: 0.9353
  • Take Profit: 0.951

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9353 - 0.9405 = -0.0052

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9405 - 0.951 = -0.0105

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0105 / -0.0052 = 2.0192

📌 Position Size

Amount Margin Quantity Leverage
1437.1726 100 1528.0942 14.37
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 -0.0052

Taille de position = 8 / -0.0052 = -1538.46

Taille de position USD = -1538.46 x 0.9405 = -1446.92

Donc, tu peux acheter -1538.46 avec un stoploss a 0.9353

Avec un position size USD de -1446.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1538.46 x -0.0052 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1538.46 x -0.0105 = 16.15

Si Take Profit atteint, tu gagneras 16.15$

Résumé

  • Taille de position -1538.46
  • Taille de position USD -1446.92
  • Perte potentielle 8
  • Gain potentiel 16.15
  • Risk-Reward Ratio 2.0192

📌 Peformances

TP % Target TP $ Target
1.12 % 16.04 $
SL % Target SL $ Target
0.55 % 7.95 $
PNL PNL %
-7.95 $ -0.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8187 % 148.07 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.951
            [entry_price] => 0.9405
            [stop_loss] => 0.93478
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.951
            [entry_price] => 0.9405
            [stop_loss] => 0.93426
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 00:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.951
            [entry_price] => 0.9405
            [stop_loss] => 0.93374
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 00:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.951
            [entry_price] => 0.9405
            [stop_loss] => 0.9327
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 00:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.022
            [rr_ratio] => 0.04
            [high] => 0.94140000
            [low] => 0.91850000
            [mfe_pct] => 0.1
            [mae_pct] => 2.34
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T23:56:19-04:00
            [end_at] => 2025-09-17T01:56:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00090000000000001
            [max_drawdown] => 0.0342
            [rr_ratio] => 0.03
            [high] => 0.94140000
            [low] => 0.90630000
            [mfe_pct] => 0.1
            [mae_pct] => 3.64
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T23:56:19-04:00
            [end_at] => 2025-09-17T06:56:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.96990000
            [high_after] => 0.94140000
            [low_before] => 0.93910000
            [low_after] => 0.91100000
            [is_new_high] => 
            [is_new_low] => 
        )

)