Trade

sell - EPIC

Status
win
2025-07-26 13:32:17
17 minutes
PNL
1.27
Entry: 2.1922
Last: 2.16430000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.7833
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.51
Prediction 3 Probability
0 0.59
ML Trade Score: 40
ML Pullback Score: 0.44

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.01238993175
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 2.18374
  4. ema21 - 2.19731
  5. ema50 - 2.19732
  6. ema100 - 2.22231
  7. price_ema9_diff - 0.00387383
  8. ema9_ema21_diff - -0.00617655
  9. ema21_ema50_diff - -6.63513E-6
  10. price_ema100_diff - -0.0135521
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.493366
  14. adx - 0.20104
  15. kc_percentage - 0.478549
  16. kc_width_percentage - 0.100734
  17. volume_ema_diff - -0.584747
  18. volume_ema1 - 296893.9977839
  19. volume_ema2 - 714972.64470952
  20. ¸
  21. 15m
  22. ema9 - 2.16633
  23. ema21 - 2.16865
  24. ema50 - 2.18675
  25. ema100 - 2.19665
  26. price_ema9_diff - 0.0119396
  27. ema9_ema21_diff - -0.00107212
  28. ema21_ema50_diff - -0.00827697
  29. price_ema100_diff - -0.00202605
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.563987
  33. adx - 0.172104
  34. kc_percentage - 0.769529
  35. kc_width_percentage - 0.0410972
  36. volume_ema_diff - -0.318663
  37. volume_ema1 - 66467.776962355
  38. volume_ema2 - 97554.982407114
  39. ¸
  40. 5m
  41. ema9 - 2.17153
  42. ema21 - 2.15989
  43. ema50 - 2.16134
  44. ema100 - 2.17942
  45. price_ema9_diff - 0.00951662
  46. ema9_ema21_diff - 0.00538654
  47. ema21_ema50_diff - -0.000668505
  48. price_ema100_diff - 0.0058612
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.722625
  52. adx - 0.292878
  53. kc_percentage - 1.13614
  54. kc_width_percentage - 0.0227929
  55. volume_ema_diff - 0.0996797
  56. volume_ema1 - 32497.651968335
  57. volume_ema2 - 29551.924158002
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 117928
  62. 5m_price_ema100_diff: 0.00087668
  63. 5m_price: 118031
  64. 5m_correlation_with_coin: 0.081941
  65. btc_indicators
  66. 15m_ema100: 117450
  67. 15m_price_ema100_diff: 0.00494589
  68. 15m_price: 118031
  69. btc_indicators
  70. 1H_ema100: 117760
  71. 1H_price_ema100_diff: 0.00230071
  72. 1H_price: 118031
  73. ¸

Short Trade on EPIC

The 26 Jul 2025 at 13:32:17

With 430.457 EPIC at 2.1922$ per unit.

Position size of 943.6479 $

Take profit at 2.1643 (1.27 %) and Stop Loss at 2.2108 (0.85 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -73 %

Symbol Start at Seach Score Trade Score Trades Count
HYPER 2025-07-27 15:05:32 0.934 40 1
KAITO 2025-07-04 14:07:00 0.926 -100 2
LAYER 2025-05-08 18:00:11 0.9222 -100 2
UNI 2025-04-29 20:37:18 0.9253 30 1
TRX 2025-05-30 23:51:18 0.919 -100 3
OM 2025-04-14 16:11:22 0.9146 -100 1
AAVE 2025-03-31 07:53:53 0.914 -100 1
KAS 2025-06-19 13:46:26 0.9131 -100 1
REZ 2025-05-30 23:40:42 0.9127 -100 1
BGB 2025-04-07 04:51:54 0.911 -100 1

📌 Time Data

Start at Closed at Duration
26 Jul 2025
13:32:17
26 Jul 2025
13:50:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.1922 2.2108 2.1643 1.5 2.4934
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 2.1922
  • Stop Loss: 2.2108
  • Take Profit: 2.1643

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2108 - 2.1922 = 0.0186

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.1922 - 2.1643 = 0.0279

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0279 / 0.0186 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
943.6479 100 430.457 9.44
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 0.0186

Taille de position = 8 / 0.0186 = 430.11

Taille de position USD = 430.11 x 2.1922 = 942.89

Donc, tu peux acheter 430.11 avec un stoploss a 2.2108

Avec un position size USD de 942.89$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 430.11 x 0.0186 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 430.11 x 0.0279 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 430.11
  • Taille de position USD 942.89
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.27 % 12.01 $
SL % Target SL $ Target
0.85 % 8.01 $
PNL PNL %
12.01 $ 1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2874 % 33.87 % 1

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 2.155
            [stop_loss] => 2.2108
            [rr_ratio] => 2
            [closed_at] => 2025-07-26 13:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.1457
            [stop_loss] => 2.2108
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
        )

    [3] => Array
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            [stop_loss] => 2.2108
            [rr_ratio] => 3
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
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    [3.5] => Array
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            [rr_ratio] => 3.5
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            [result] => loss
        )

    [4] => Array
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            [stop_loss] => 2.2108
            [rr_ratio] => 4
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
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    [4.5] => Array
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            [rr_ratio] => 4.5
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            [result] => loss
        )

    [5] => Array
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            [take_profit] => 2.0992
            [stop_loss] => 2.2108
            [rr_ratio] => 5
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
        )

    [5.5] => Array
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            [take_profit] => 2.0899
            [stop_loss] => 2.2108
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
        )

    [6] => Array
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            [take_profit] => 2.0806
            [stop_loss] => 2.2108
            [rr_ratio] => 6
            [closed_at] => 2025-07-26 15:00:00
            [result] => loss
        )

    [6.5] => Array
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            [rr_ratio] => 6.5
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    [7] => Array
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            [rr_ratio] => 7
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            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
        (
            [max_gain] => 0.0406
            [max_drawdown] => 0.1078
            [rr_ratio] => 0.38
            [high] => 2.30000000
            [low] => 2.15160000
            [mfe_pct] => 1.85
            [mae_pct] => 4.92
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-07-26T13:32:17-04:00
            [end_at] => 2025-07-26T15:32:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0406
            [max_drawdown] => 0.1789
            [rr_ratio] => 0.23
            [high] => 2.37110000
            [low] => 2.15160000
            [mfe_pct] => 1.85
            [mae_pct] => 8.16
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-07-26T13:32:17-04:00
            [end_at] => 2025-07-26T20:32:17-04:00
        )

    [breakout] => Array
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            [high_before] => 2.19470000
            [high_after] => 2.37110000
            [low_before] => 2.12230000
            [low_after] => 2.15160000
            [is_new_high] => 
            [is_new_low] => 
        )

)