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Long Trade on WIF

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Long Trade on WIF 18 Sep 2025 at 02:27:20

Take profit at 0.9545 (1.07 %) and Stop Loss at 0.9394 (0.53 %)

Long Trade on WIF

The 18 Sep 2025 at 02:27:20

With 1587.8494 WIF at 0.9444$ per unit.

Position size of 1499.565 $

Take profit at 0.9545 (1.07 %) and Stop Loss at 0.9394 (0.53 %)

That's a 2.02 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -80
ML Pullback Score: 2.03
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.67
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : bear_low
BTC Correlation Score

5m : 0.50814

15m : 0.118185

1H : -0.085144

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.003358840839
Details
  1. score: 2.11
  2. 1H
  3. ema9 : 0.953311
  4. ema21 : 0.944035
  5. ema50 : 0.931593
  6. ema100 : 0.928602
  7. price_ema9_diff : -0.00934749
  8. ema9_ema21_diff : 0.00982498
  9. ema21_ema50_diff : 0.0133561
  10. price_ema100_diff : 0.0170123
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.344363
  14. ema_slope_21 : 0.228212
  15. ema_slope_50 : 0.132367
  16. ema_slope_100 : 0.0646571
  17. rsi : 0.521542
  18. adx : 0.233701
  19. kc_percentage : 0.494983
  20. kc_width_percentage : 0.0654247
  21. volume_ema_diff : -0.519018
  22. volume_ema1 : 1710950.5262627
  23. volume_ema2 : 3557203.7363561
  24. chop : 45.7152
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.954157
  28. ema21 : 0.956487
  29. ema50 : 0.950537
  30. ema100 : 0.941574
  31. price_ema9_diff : -0.0102262
  32. ema9_ema21_diff : -0.00243575
  33. ema21_ema50_diff : 0.00625885
  34. price_ema100_diff : 0.00300062
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0755589
  38. ema_slope_21 : -0.0166454
  39. ema_slope_50 : 0.0329191
  40. ema_slope_100 : 0.0371559
  41. rsi : 0.415742
  42. adx : 0.202334
  43. kc_percentage : 0.0210422
  44. kc_width_percentage : 0.0267736
  45. volume_ema_diff : -0.639916
  46. volume_ema1 : 310423.70456755
  47. volume_ema2 : 862088.96545382
  48. chop : 47.2764
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.949616
  52. ema21 : 0.953142
  53. ema50 : 0.956802
  54. ema100 : 0.958488
  55. price_ema9_diff : -0.00549343
  56. ema9_ema21_diff : -0.00369952
  57. ema21_ema50_diff : -0.00382472
  58. price_ema100_diff : -0.0146989
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0586556
  62. ema_slope_21 : -0.04925
  63. ema_slope_50 : -0.0307228
  64. ema_slope_100 : -0.0170472
  65. rsi : 0.299816
  66. adx : 0.310655
  67. kc_percentage : -0.111887
  68. kc_width_percentage : 0.0147444
  69. volume_ema_diff : -0.184936
  70. volume_ema1 : 129817.68469048
  71. volume_ema2 : 159273.06354485
  72. chop : 39.6876
  73. regime : bear_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    116928
  77. 5m_price_ema100_diff: 
    0.00035248
  78. 5m_price: 
    116969
  79. 5m_correlation_with_coin: 
    0.50814
  80. btc_indicators
  81. 15m_ema100: 
    116519
  82. 15m_price_ema100_diff: 
    0.00419318
  83. 15m_price: 
    117008
  84. 15m_correlation_with_coin: 
    0.118185
  85. btc_indicators
  86. 1H_ema100: 
    115987
  87. 1H_price_ema100_diff: 
    0.00846284
  88. 1H_price: 
    116969
  89. 1H_correlation_with_coin: 
    -0.085144
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
18 Sep 2025
02:27:20		 18 Sep 2025
02:30:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9444 0.9394 0.9545 2.02 0.1932
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 0.9444
  • Stop Loss: 0.9394
  • Take Profit: 0.9545

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9394 - 0.9444 = -0.005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9444 - 0.9545 = -0.0101

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0101 / -0.005 = 2.02

📌 Position Size

Amount Margin Quantity Leverage
1499.565 100 1587.8494 15.00
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 -0.005

Taille de position = 8 / -0.005 = -1600

Taille de position USD = -1600 x 0.9444 = -1511.04

Donc, tu peux acheter -1600 avec un stoploss a 0.9394

Avec un position size USD de -1511.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0101 = 16.16

Si Take Profit atteint, tu gagneras 16.16$

Résumé

  • Taille de position -1600
  • Taille de position USD -1511.04
  • Perte potentielle 8
  • Gain potentiel 16.16
  • Risk-Reward Ratio 2.02

📌 Peformances

TP % Target TP $ Target
1.07 % 16.04 $
SL % Target SL $ Target
0.53 % 7.94 $
PNL PNL %
-7.94 $ -0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6671 % 126.01 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9545
            [entry_price] => 0.9444
            [stop_loss] => 0.9389
            [rr_ratio] => 1.84
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-18 02:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9545
            [entry_price] => 0.9444
            [stop_loss] => 0.9384
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-18 02:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9545
            [entry_price] => 0.9444
            [stop_loss] => 0.9379
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-18 04:55:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.9545
            [entry_price] => 0.9444
            [stop_loss] => 0.9369
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-18 04:55:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0075
            [max_drawdown] => 0.0063
            [rr_ratio] => 1.19
            [high] => 0.95190000
            [low] => 0.93810000
            [mfe_pct] => 0.79
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 1.19
            [candles_analyzed] => 24
            [start_at] => 2025-09-18T02:27:20-04:00
            [end_at] => 2025-09-18T04:27:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0113
            [max_drawdown] => 0.0063
            [rr_ratio] => 1.79
            [high] => 0.95570000
            [low] => 0.93810000
            [mfe_pct] => 1.2
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 1.79
            [candles_analyzed] => 84
            [start_at] => 2025-09-18T02:27:20-04:00
            [end_at] => 2025-09-18T09:27:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.97330000
            [high_after] => 0.95570000
            [low_before] => 0.93980000
            [low_after] => 0.93810000
            [is_new_high] => 
            [is_new_low] => 
        )

)