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Long Trade on SEI

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Long Trade on SEI 22 May 2025 at 17:21:00

Take profit at 0.2432 (0.62 %) and Stop Loss at 0.2407 (0.41 %)

Long Trade on SEI

The 22 May 2025 at 17:21:00

With 8052.715 SEI at 0.2417$ per unit.

Position size of 1946.5023 $

Take profit at 0.2432 (0.62 %) and Stop Loss at 0.2407 (0.41 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 140
ML Pullback Score: 8.08
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
1 0.4
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.696503

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0006623025052
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 0.243257
  4. ema21 : 0.24029
  5. ema50 : 0.234457
  6. ema100 : 0.230413
  7. price_ema9_diff : -0.00631842
  8. ema9_ema21_diff : 0.0123456
  9. ema21_ema50_diff : 0.0248769
  10. price_ema100_diff : 0.0490709
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.577427
  14. kc_percentage : 0.595127
  15. kc_width_percentage : 0.0506073
    16. ¸
  16. 15m
  17. ema9 : 0.243265
  18. ema21 : 0.243633
  19. ema50 : 0.242371
  20. ema100 : 0.239529
  21. price_ema9_diff : -0.00635195
  22. ema9_ema21_diff : -0.00151176
  23. ema21_ema50_diff : 0.00520542
  24. price_ema100_diff : 0.00914354
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.409149
  28. kc_percentage : 0.143354
  29. kc_width_percentage : 0.0223065
    30. ¸
  30. 5m
  31. ema9 : 0.242552
  32. ema21 : 0.243249
  33. ema50 : 0.243709
  34. ema100 : 0.243141
  35. price_ema9_diff : -0.00343155
  36. ema9_ema21_diff : -0.00286744
  37. ema21_ema50_diff : -0.00188504
  38. price_ema100_diff : -0.00584476
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.322577
  42. kc_percentage : -0.0757778
  43. kc_width_percentage : 0.0106919
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    111277
  47. 5m_price_ema100_diff: 
    -0.00406984
  48. 5m_price: 
    110824
  49. 5m_correlation_with_coin: 
    0.696503
  50. btc_indicators
  51. 15m_ema100: 
    110578
  52. 15m_price_ema100_diff: 
    0.00222261
  53. 15m_price: 
    110824
  54. btc_indicators
  55. 1H_ema100: 
    107705
  56. 1H_price_ema100_diff: 
    0.0289562
  57. 1H_price: 
    110824
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 May 2025
17:21:00		 22 May 2025
18:05:00		 44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2417 0.2407 0.2432 1.5 0.0702
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 0.2417
  • Stop Loss: 0.2407
  • Take Profit: 0.2432

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2407 - 0.2417 = -0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2417 - 0.2432 = -0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0015 / -0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1946.5023 100 8052.715 19.47
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 -0.001

Taille de position = 8 / -0.001 = -8000

Taille de position USD = -8000 x 0.2417 = -1933.6

Donc, tu peux acheter -8000 avec un stoploss a 0.2407

Avec un position size USD de -1933.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000 x -0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000 x -0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8000
  • Taille de position USD -1933.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.62 % 12.08 $
SL % Target SL $ Target
0.41 % 8.05 $
PNL PNL %
12.08 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.34340091021928 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2437
            [stop_loss] => 0.2407
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 18:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.2442
            [stop_loss] => 0.2407
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 19:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2447
            [stop_loss] => 0.2407
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 20:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.2452
            [stop_loss] => 0.2407
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 20:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2457
            [stop_loss] => 0.2407
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 21:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.2462
            [stop_loss] => 0.2407
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 21:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2467
            [stop_loss] => 0.2407
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 21:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.2472
            [stop_loss] => 0.2407
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 21:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2477
            [stop_loss] => 0.2407
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 21:50:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.2482
            [stop_loss] => 0.2407
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2487
            [stop_loss] => 0.2407
            [rr_ratio] => 7
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00216
            [max_drawdown] => 0.00083
            [rr_ratio] => 2.6
            [high] => 0.24386000
            [low] => 0.24087000
            [mfe_pct] => 0.89
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 2.6
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T17:21:00-04:00
            [end_at] => 2025-05-22T19:21:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01129
            [max_drawdown] => 0.00083
            [rr_ratio] => 13.6
            [high] => 0.25299000
            [low] => 0.24087000
            [mfe_pct] => 4.67
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 13.6
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T17:21:00-04:00
            [end_at] => 2025-05-22T23:21:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24634000
            [high_after] => 0.25299000
            [low_before] => 0.24136000
            [low_after] => 0.24087000
            [is_new_high] => 1
            [is_new_low] => 
        )

)