Short Trade on ORCA 17 Apr 2025 at 18:11:52

Take profit at 2.8055 (0.73 %) and Stop Loss at 2.8397 (0.48 %)

Short Trade on ORCA

The 17 Apr 2025 at 18:11:52

With 584.8918 ORCA at 2.826$ per unit.

Position size of 1652.9042 $

Take profit at 2.8055 (0.73 %) and Stop Loss at 2.8397 (0.48 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 50
ML Pullback Score: 4
Prediction Score:
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00911849605
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 2.82528
  4. ema21 : 2.86221
  5. ema50 : 2.9727
  6. price_ema9_diff : 0.00025104
  7. ema9_ema21_diff : -0.0129026
  8. ema21_ema50_diff : -0.037168
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.429767
  12. kc_percentage : 0.349745
  13. kc_width_percentage : 0.0751058
  14. ¸
  15. 15m
  16. ema9 : 2.8127
  17. ema21 : 2.82096
  18. ema50 : 2.83117
  19. price_ema9_diff : 0.00471389
  20. ema9_ema21_diff : -0.00292849
  21. ema21_ema50_diff : -0.00360852
  22. all_emas_in_trend : True
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.510047
  25. kc_percentage : 0.56566
  26. kc_width_percentage : 0.0290472
  27. ¸
  28. 5m
  29. ema9 : 2.8083
  30. ema21 : 2.80764
  31. ema50 : 2.81689
  32. price_ema9_diff : 0.00630104
  33. ema9_ema21_diff : 0.000237386
  34. ema21_ema50_diff : -0.0032844
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. rsi : 0.603145
  38. kc_percentage : 1.05159
  39. kc_width_percentage : 0.0119799
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Apr 2025
18:11:52
17 Apr 2025
18:30:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.826 2.8397 2.8055 1.5 0.884
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 2.826
  • Stop Loss: 2.8397
  • Take Profit: 2.8055

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8397 - 2.826 = 0.0137

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.826 - 2.8055 = 0.0205

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0205 / 0.0137 = 1.4964

📌 Position Size

Amount Margin Quantity Leverage
1652.9042 100 584.8918 16.53
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 0.0137

Taille de position = 8 / 0.0137 = 583.94

Taille de position USD = 583.94 x 2.826 = 1650.21

Donc, tu peux acheter 583.94 avec un stoploss a 2.8397

Avec un position size USD de 1650.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 583.94 x 0.0137 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 583.94 x 0.0205 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position 583.94
  • Taille de position USD 1650.21
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4964

📌 Peformances

TP % Target TP $ Target
0.73 % 11.99 $
SL % Target SL $ Target
0.48 % 8.01 $
PNL PNL %
12.28 $ 0.74
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.14154281670205 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
        (
            [take_profit] => 2.798
            [stop_loss] => 2.84
            [rr_ratio] => 2
            [closed_at] => 2025-04-17 18:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.791
            [stop_loss] => 2.84
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-17 18:50:00
            [result] => win
        )

    [3] => Array
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            [take_profit] => 2.784
            [stop_loss] => 2.84
            [rr_ratio] => 3
            [closed_at] => 2025-04-17 19:15:00
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    [4.5] => Array
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    [5] => Array
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            [take_profit] => 2.756
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            [rr_ratio] => 5
            [closed_at] => 2025-04-17 19:15:00
            [result] => loss
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    [5.5] => Array
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            [stop_loss] => 2.84
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-17 19:15:00
            [result] => loss
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    [6] => Array
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            [rr_ratio] => 6
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    [6.5] => Array
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    [7] => Array
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            [rr_ratio] => 7
            [closed_at] => 2025-04-17 19:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
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    [short_term] => Array
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            [max_gain] => 0.036
            [max_drawdown] => 0.096
            [rr_ratio] => 0.38
            [high] => 2.92200000
            [low] => 2.79000000
            [mfe_pct] => 1.27
            [mae_pct] => 3.4
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T18:11:52-04:00
            [end_at] => 2025-04-17T20:11:52-04:00
        )

    [long_term] => Array
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            [max_gain] => 0.272
            [max_drawdown] => 0.096
            [rr_ratio] => 2.83
            [high] => 2.92200000
            [low] => 2.55400000
            [mfe_pct] => 9.62
            [mae_pct] => 3.4
            [mfe_mae_ratio] => 2.83
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T18:11:52-04:00
            [end_at] => 2025-04-18T00:11:52-04:00
        )

    [breakout] => Array
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            [high_before] => 2.90300000
            [high_after] => 2.92200000
            [low_before] => 2.78600000
            [low_after] => 2.55400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)