Short Trade on INIT 13 Jul 2025 at 06:20:22

Take profit at 0.4737 (1.31 %) and Stop Loss at 0.4842 (0.88 %)

Short Trade on INIT

The 13 Jul 2025 at 06:20:22

With 1898.119 INIT at 0.48$ per unit.

Position size of 911.0971 $

Take profit at 0.4737 (1.31 %) and Stop Loss at 0.4842 (0.88 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 0.34
Prediction Score: 1.7591
Prediction 1 Probability
Strong Trade
0.51
Prediction 2 Probability
1 0.44
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.367225

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.002809799198
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.482875
  4. ema21 : 0.493189
  5. ema50 : 0.494058
  6. ema100 : 0.468769
  7. price_ema9_diff : -0.00595566
  8. ema9_ema21_diff : -0.0209125
  9. ema21_ema50_diff : -0.00175902
  10. price_ema100_diff : 0.0239578
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.400293
  14. kc_percentage : 0.24709
  15. kc_width_percentage : 0.103526
  16. volume_ema_diff : -0.523529
  17. volume_ema1 : 188280.87826276
  18. volume_ema2 : 395157.70161504
  19. ¸
  20. 15m
  21. ema9 : 0.47493
  22. ema21 : 0.478965
  23. ema50 : 0.487777
  24. ema100 : 0.49911
  25. price_ema9_diff : 0.0106742
  26. ema9_ema21_diff : -0.00842438
  27. ema21_ema50_diff : -0.018066
  28. price_ema100_diff : -0.0382893
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.495787
  32. kc_percentage : 0.566863
  33. kc_width_percentage : 0.0432259
  34. volume_ema_diff : -0.0069884
  35. volume_ema1 : 60881.122075638
  36. volume_ema2 : 61309.578187404
  37. ¸
  38. 5m
  39. ema9 : 0.47428
  40. ema21 : 0.473648
  41. ema50 : 0.477308
  42. ema100 : 0.482852
  43. price_ema9_diff : 0.0120593
  44. ema9_ema21_diff : 0.00133424
  45. ema21_ema50_diff : -0.00766838
  46. price_ema100_diff : -0.00590745
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.637536
  50. kc_percentage : 1.03925
  51. kc_width_percentage : 0.0248234
  52. volume_ema_diff : 0.438156
  53. volume_ema1 : 27393.386531531
  54. volume_ema2 : 19047.567205567
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    117738
  59. 5m_price_ema100_diff:
    8.15949E-5
  60. 5m_price:
    117748
  61. 5m_correlation_with_coin:
    0.367225
  62. btc_indicators
  63. 15m_ema100:
    117663
  64. 15m_price_ema100_diff:
    0.000720935
  65. 15m_price:
    117748
  66. btc_indicators
  67. 1H_ema100:
    115317
  68. 1H_price_ema100_diff:
    0.021074
  69. 1H_price:
    117748
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 Jul 2025
06:20:22
13 Jul 2025
06:45:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.48 0.4842 0.4737 1.5 0.0809
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 0.48
  • Stop Loss: 0.4842
  • Take Profit: 0.4737

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4842 - 0.48 = 0.0042

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.48 - 0.4737 = 0.0063

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0063 / 0.0042 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
911.0971 100 1898.119 9.11
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 0.0042

Taille de position = 8 / 0.0042 = 1904.76

Taille de position USD = 1904.76 x 0.48 = 914.28

Donc, tu peux acheter 1904.76 avec un stoploss a 0.4842

Avec un position size USD de 914.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1904.76 x 0.0042 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1904.76 x 0.0063 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1904.76
  • Taille de position USD 914.28
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.31 % 11.96 $
SL % Target SL $ Target
0.88 % 7.97 $
PNL PNL %
11.96 $ 1.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 0.4716
            [stop_loss] => 0.4842
            [rr_ratio] => 2
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.4695
            [stop_loss] => 0.4842
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.4674
            [stop_loss] => 0.4842
            [rr_ratio] => 3
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [3.5] => Array
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            [stop_loss] => 0.4842
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [4] => Array
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            [take_profit] => 0.4632
            [stop_loss] => 0.4842
            [rr_ratio] => 4
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [4.5] => Array
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            [take_profit] => 0.4611
            [stop_loss] => 0.4842
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.459
            [stop_loss] => 0.4842
            [rr_ratio] => 5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.4569
            [stop_loss] => 0.4842
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4548
            [stop_loss] => 0.4842
            [rr_ratio] => 6
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [6.5] => Array
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            [stop_loss] => 0.4842
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

    [7] => Array
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            [take_profit] => 0.4506
            [stop_loss] => 0.4842
            [rr_ratio] => 7
            [closed_at] => 2025-07-13 07:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0066
            [max_drawdown] => 0.0245
            [rr_ratio] => 0.27
            [high] => 0.50450000
            [low] => 0.47340000
            [mfe_pct] => 1.38
            [mae_pct] => 5.1
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-07-13T06:20:22-04:00
            [end_at] => 2025-07-13T08:20:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0066
            [max_drawdown] => 0.0327
            [rr_ratio] => 0.2
            [high] => 0.51270000
            [low] => 0.47340000
            [mfe_pct] => 1.38
            [mae_pct] => 6.81
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 72
            [start_at] => 2025-07-13T06:20:22-04:00
            [end_at] => 2025-07-13T12:20:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.48930000
            [high_after] => 0.51270000
            [low_before] => 0.46710000
            [low_after] => 0.47340000
            [is_new_high] => 
            [is_new_low] => 
        )

)