Long Trade on ORCA 21 Jul 2025 at 12:48:58

Take profit at 2.729 (1.53 %) and Stop Loss at 2.6606 (1.02 %)

Long Trade on ORCA

The 21 Jul 2025 at 12:48:58

With 292.3645 ORCA at 2.688$ per unit.

Position size of 785.8758 $

Take profit at 2.729 (1.53 %) and Stop Loss at 2.6606 (1.02 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: -0.2889
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.4
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.537654

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01824206941
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 2.72462
  4. ema21 : 2.67605
  5. ema50 : 2.60303
  6. ema100 : 2.56591
  7. price_ema9_diff : -0.0134435
  8. ema9_ema21_diff : 0.0181529
  9. ema21_ema50_diff : 0.0280511
  10. price_ema100_diff : 0.0475782
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.544486
  14. kc_percentage : 0.537286
  15. kc_width_percentage : 0.0807937
  16. volume_ema_diff : 0.900843
  17. volume_ema1 : 373976.48826704
  18. volume_ema2 : 196742.3489803
  19. ¸
  20. 15m
  21. ema9 : 2.7244
  22. ema21 : 2.73295
  23. ema50 : 2.70708
  24. ema100 : 2.66754
  25. price_ema9_diff : -0.0133627
  26. ema9_ema21_diff : -0.00312737
  27. ema21_ema50_diff : 0.00955415
  28. price_ema100_diff : 0.00766877
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.388012
  32. kc_percentage : 0.130497
  33. kc_width_percentage : 0.0455434
  34. volume_ema_diff : -0.314163
  35. volume_ema1 : 54741.715802887
  36. volume_ema2 : 79817.498936683
  37. ¸
  38. 5m
  39. ema9 : 2.7075
  40. ema21 : 2.72754
  41. ema50 : 2.74003
  42. ema100 : 2.73406
  43. price_ema9_diff : -0.00720246
  44. ema9_ema21_diff : -0.00734703
  45. ema21_ema50_diff : -0.00456035
  46. price_ema100_diff : -0.0168483
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.330717
  50. kc_percentage : -0.0173236
  51. kc_width_percentage : 0.0275827
  52. volume_ema_diff : -0.492457
  53. volume_ema1 : 16526.288218951
  54. volume_ema2 : 32561.373874594
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    118545
  59. 5m_price_ema100_diff:
    -0.00750427
  60. 5m_price:
    117655
  61. 5m_correlation_with_coin:
    0.537654
  62. btc_indicators
  63. 15m_ema100:
    118383
  64. 15m_price_ema100_diff:
    -0.00614714
  65. 15m_price:
    117655
  66. btc_indicators
  67. 1H_ema100:
    118257
  68. 1H_price_ema100_diff:
    -0.0050895
  69. 1H_price:
    117655
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
21 Jul 2025
12:48:58
21 Jul 2025
13:05:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.688 2.6606 2.729 1.5 0.907
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 2.688
  • Stop Loss: 2.6606
  • Take Profit: 2.729

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6606 - 2.688 = -0.0274

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.688 - 2.729 = -0.041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.041 / -0.0274 = 1.4964

📌 Position Size

Amount Margin Quantity Leverage
785.8758 100 292.3645 7.86
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 -0.0274

Taille de position = 8 / -0.0274 = -291.97

Taille de position USD = -291.97 x 2.688 = -784.82

Donc, tu peux acheter -291.97 avec un stoploss a 2.6606

Avec un position size USD de -784.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -291.97 x -0.0274 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -291.97 x -0.041 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position -291.97
  • Taille de position USD -784.82
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4964

📌 Peformances

TP % Target TP $ Target
1.53 % 11.99 $
SL % Target SL $ Target
1.02 % 8.01 $
PNL PNL %
11.99 $ 1.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 2.742
            [stop_loss] => 2.661
            [rr_ratio] => 2
            [closed_at] => 2025-07-21 14:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.7555
            [stop_loss] => 2.661
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-21 14:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.769
            [stop_loss] => 2.661
            [rr_ratio] => 3
            [closed_at] => 2025-07-21 14:15:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 2.7825
            [stop_loss] => 2.661
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-21 17:00:00
            [result] => win
        )

    [4] => Array
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            [take_profit] => 2.796
            [stop_loss] => 2.661
            [rr_ratio] => 4
            [closed_at] => 2025-07-21 17:00:00
            [result] => win
        )

    [4.5] => Array
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            [take_profit] => 2.8095
            [stop_loss] => 2.661
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-21 17:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.823
            [stop_loss] => 2.661
            [rr_ratio] => 5
            [closed_at] => 2025-07-21 17:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.8365
            [stop_loss] => 2.661
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-21 18:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.85
            [stop_loss] => 2.661
            [rr_ratio] => 6
            [closed_at] => 2025-07-21 18:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.8635
            [stop_loss] => 2.661
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-21 18:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.089
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.77700000
            [low] => 2.69300000
            [mfe_pct] => 3.31
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-21T12:48:58-04:00
            [end_at] => 2025-07-21T14:48:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.178
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.86600000
            [low] => 2.69300000
            [mfe_pct] => 6.62
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-07-21T12:48:58-04:00
            [end_at] => 2025-07-21T18:48:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.82000000
            [high_after] => 2.86600000
            [low_before] => 2.67200000
            [low_after] => 2.69300000
            [is_new_high] => 1
            [is_new_low] => 
        )

)