Long Trade on WIF 16 Jul 2025 at 15:13:11

Take profit at 1.1177 (1.72 %) and Stop Loss at 1.0862 (1.15 %)

Long Trade on WIF

The 16 Jul 2025 at 15:13:11

With 636.0516 WIF at 1.0988$ per unit.

Position size of 698.8936 $

Take profit at 1.1177 (1.72 %) and Stop Loss at 1.0862 (1.15 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 50
ML Pullback Score: 4.79
Prediction Score: 0.1
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.61
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.572925

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.00838506331
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 1.10375
  4. ema21 : 1.08638
  5. ema50 : 1.05652
  6. ema100 : 1.02552
  7. price_ema9_diff : -0.00449235
  8. ema9_ema21_diff : 0.0159942
  9. ema21_ema50_diff : 0.0282617
  10. price_ema100_diff : 0.0714535
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.559542
  14. kc_percentage : 0.603921
  15. kc_width_percentage : 0.0964234
  16. volume_ema_diff : -0.0395858
  17. volume_ema1 : 4603688.9831803
  18. volume_ema2 : 4793441.616055
  19. ¸
  20. 15m
  21. ema9 : 1.11427
  22. ema21 : 1.1116
  23. ema50 : 1.09911
  24. ema100 : 1.08244
  25. price_ema9_diff : -0.0138909
  26. ema9_ema21_diff : 0.00240323
  27. ema21_ema50_diff : 0.0113629
  28. price_ema100_diff : 0.0151051
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.437542
  32. kc_percentage : 0.275489
  33. kc_width_percentage : 0.0534657
  34. volume_ema_diff : 0.109701
  35. volume_ema1 : 1551949.2215158
  36. volume_ema2 : 1398528.5611447
  37. ¸
  38. 5m
  39. ema9 : 1.1104
  40. ema21 : 1.11624
  41. ema50 : 1.11473
  42. ema100 : 1.10843
  43. price_ema9_diff : -0.0104476
  44. ema9_ema21_diff : -0.00523296
  45. ema21_ema50_diff : 0.00135581
  46. price_ema100_diff : -0.00869614
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.330853
  50. kc_percentage : -0.0277527
  51. kc_width_percentage : 0.0297819
  52. volume_ema_diff : -0.0919606
  53. volume_ema1 : 471772.44930185
  54. volume_ema2 : 519550.6379722
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    119061
  59. 5m_price_ema100_diff:
    0.00275557
  60. 5m_price:
    119390
  61. 5m_correlation_with_coin:
    0.572925
  62. btc_indicators
  63. 15m_ema100:
    118316
  64. 15m_price_ema100_diff:
    0.00907504
  65. 15m_price:
    119390
  66. btc_indicators
  67. 1H_ema100:
    118331
  68. 1H_price_ema100_diff:
    0.00894178
  69. 1H_price:
    119390
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Jul 2025
15:13:11
16 Jul 2025
16:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0988 1.0862 1.1177 1.5 0.2083
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 1.0988
  • Stop Loss: 1.0862
  • Take Profit: 1.1177

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0862 - 1.0988 = -0.0126

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0988 - 1.1177 = -0.0189

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0189 / -0.0126 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
698.8936 100 636.0516 6.99
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 -0.0126

Taille de position = 8 / -0.0126 = -634.92

Taille de position USD = -634.92 x 1.0988 = -697.65

Donc, tu peux acheter -634.92 avec un stoploss a 1.0862

Avec un position size USD de -697.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -634.92 x -0.0126 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -634.92 x -0.0189 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -634.92
  • Taille de position USD -697.65
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.72 % 12.02 $
SL % Target SL $ Target
1.15 % 8.01 $
PNL PNL %
12.08 $ 1.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5641 % 47.69 % 7

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 1.125
            [stop_loss] => 1.086
            [rr_ratio] => 2
            [closed_at] => 2025-07-16 16:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.1315
            [stop_loss] => 1.086
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-16 17:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.138
            [stop_loss] => 1.086
            [rr_ratio] => 3
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [3.5] => Array
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            [rr_ratio] => 3.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 1.086
            [rr_ratio] => 4
            [closed_at] => 2025-07-16 19:00:00
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    [4.5] => Array
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            [rr_ratio] => 4.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [5] => Array
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            [take_profit] => 1.164
            [stop_loss] => 1.086
            [rr_ratio] => 5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 1.1705
            [stop_loss] => 1.086
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.177
            [stop_loss] => 1.086
            [rr_ratio] => 6
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [6.5] => Array
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            [take_profit] => 1.1835
            [stop_loss] => 1.086
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
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    [7] => Array
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            [take_profit] => 1.19
            [stop_loss] => 1.086
            [rr_ratio] => 7
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0305
            [max_drawdown] => 0.006
            [rr_ratio] => 5.08
            [high] => 1.12930000
            [low] => 1.09280000
            [mfe_pct] => 2.78
            [mae_pct] => 0.55
            [mfe_mae_ratio] => 5.08
            [candles_analyzed] => 24
            [start_at] => 2025-07-16T15:13:11-04:00
            [end_at] => 2025-07-16T17:13:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0369
            [max_drawdown] => 0.028
            [rr_ratio] => 1.32
            [high] => 1.13570000
            [low] => 1.07080000
            [mfe_pct] => 3.36
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 1.32
            [candles_analyzed] => 72
            [start_at] => 2025-07-16T15:13:11-04:00
            [end_at] => 2025-07-16T21:13:11-04:00
        )

    [breakout] => Array
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            [high_before] => 1.13880000
            [high_after] => 1.13570000
            [low_before] => 1.07870000
            [low_after] => 1.07080000
            [is_new_high] => 
            [is_new_low] => 
        )

)