Short Trade on EPIC 24 Aug 2025 at 09:32:24

Take profit at 2.6021 (0.93 %) and Stop Loss at 2.643 (0.62 %)

Short Trade on EPIC

The 24 Aug 2025 at 09:32:24

With 488.8238 EPIC at 2.6266$ per unit.

Position size of 1283.9446 $

Take profit at 2.6021 (0.93 %) and Stop Loss at 2.643 (0.62 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4.31
Prediction Score: 1.7379
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.49
Prediction 3 Probability
1 0.65
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.354366

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.01091054315
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 2.6356
  4. ema21 : 2.67024
  5. ema50 : 2.71332
  6. ema100 : 2.76942
  7. price_ema9_diff : -0.00341555
  8. ema9_ema21_diff : -0.0129746
  9. ema21_ema50_diff : -0.0158758
  10. price_ema100_diff : -0.0515726
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.396065
  14. adx : 0.171971
  15. kc_percentage : 0.23198
  16. kc_width_percentage : 0.0589753
  17. volume_ema_diff : -0.213262
  18. volume_ema1 : 331689.77999342
  19. volume_ema2 : 421601.50892595
  20. ¸
  21. 15m
  22. ema9 : 2.60878
  23. ema21 : 2.61907
  24. ema50 : 2.65043
  25. ema100 : 2.67746
  26. price_ema9_diff : 0.00682865
  27. ema9_ema21_diff : -0.00392965
  28. ema21_ema50_diff : -0.0118301
  29. price_ema100_diff : -0.0189982
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.4993
  33. adx : 0.324149
  34. kc_percentage : 0.622361
  35. kc_width_percentage : 0.0273821
  36. volume_ema_diff : -0.211939
  37. volume_ema1 : 69809.072306186
  38. volume_ema2 : 88583.427063675
  39. ¸
  40. 5m
  41. ema9 : 2.61107
  42. ema21 : 2.6034
  43. ema50 : 2.61161
  44. ema100 : 2.63401
  45. price_ema9_diff : 0.0059456
  46. ema9_ema21_diff : 0.00294824
  47. ema21_ema50_diff : -0.00314536
  48. price_ema100_diff : -0.00281463
  49. all_emas_in_trend : False
  50. all_emas_and_price_in_trend : False
  51. rsi : 0.659456
  52. adx : 0.288546
  53. kc_percentage : 1.01338
  54. kc_width_percentage : 0.0170591
  55. volume_ema_diff : 0.327192
  56. volume_ema1 : 40449.584807417
  57. volume_ema2 : 30477.555597287
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    114805
  62. 5m_price_ema100_diff:
    -0.00113
  63. 5m_price:
    114675
  64. 5m_correlation_with_coin:
    0.354366
  65. btc_indicators
  66. 15m_ema100:
    114968
  67. 15m_price_ema100_diff:
    -0.00255069
  68. 15m_price:
    114675
  69. btc_indicators
  70. 1H_ema100:
    114593
  71. 1H_price_ema100_diff:
    0.000712972
  72. 1H_price:
    114675
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
24 Aug 2025
09:32:24
24 Aug 2025
10:05:00
32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.6266 2.643 2.6021 1.49 0.2621
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 2.6266
  • Stop Loss: 2.643
  • Take Profit: 2.6021

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.643 - 2.6266 = 0.0164

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.6266 - 2.6021 = 0.0245

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0245 / 0.0164 = 1.4939

📌 Position Size

Amount Margin Quantity Leverage
1283.9446 100 488.8238 12.84
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 0.0164

Taille de position = 8 / 0.0164 = 487.8

Taille de position USD = 487.8 x 2.6266 = 1281.26

Donc, tu peux acheter 487.8 avec un stoploss a 2.643

Avec un position size USD de 1281.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 487.8 x 0.0164 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 487.8 x 0.0245 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position 487.8
  • Taille de position USD 1281.26
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.4939

📌 Peformances

TP % Target TP $ Target
0.93 % 11.98 $
SL % Target SL $ Target
0.62 % 8.02 $
PNL PNL %
11.98 $ 0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0495 % 7.93 % 1

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 2.5938
            [stop_loss] => 2.643
            [rr_ratio] => 2
            [closed_at] => 2025-08-24 10:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.5856
            [stop_loss] => 2.643
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-24 11:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.5774
            [stop_loss] => 2.643
            [rr_ratio] => 3
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

    [3.5] => Array
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            [take_profit] => 2.5692
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            [rr_ratio] => 3.5
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 2.643
            [rr_ratio] => 4
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
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    [4.5] => Array
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            [take_profit] => 2.5528
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            [rr_ratio] => 4.5
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.5446
            [stop_loss] => 2.643
            [rr_ratio] => 5
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 2.5364
            [stop_loss] => 2.643
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 2.5282
            [stop_loss] => 2.643
            [rr_ratio] => 6
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
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    [6.5] => Array
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            [rr_ratio] => 6.5
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            [result] => loss
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    [7] => Array
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            [stop_loss] => 2.643
            [rr_ratio] => 7
            [closed_at] => 2025-08-24 13:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0387
            [max_drawdown] => 0.0013000000000001
            [rr_ratio] => 29.77
            [high] => 2.62790000
            [low] => 2.58790000
            [mfe_pct] => 1.47
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 29.77
            [candles_analyzed] => 24
            [start_at] => 2025-08-24T09:32:24-04:00
            [end_at] => 2025-08-24T11:32:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0423
            [max_drawdown] => 0.0824
            [rr_ratio] => 0.51
            [high] => 2.70900000
            [low] => 2.58430000
            [mfe_pct] => 1.61
            [mae_pct] => 3.14
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 84
            [start_at] => 2025-08-24T09:32:24-04:00
            [end_at] => 2025-08-24T16:32:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.67240000
            [high_after] => 2.70900000
            [low_before] => 2.56510000
            [low_after] => 2.58430000
            [is_new_high] => 
            [is_new_low] => 
        )

)