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Trade

sell - VIRTUAL

Status
win
2025-05-30 14:43:32
2 hours
PNL
1.63
Entry: 2.0884
Last: 2.05400000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.6187
Prediction 1 Accuracy
Strong Trade
0.63
Prediction 2 Accuracy
2 0.43
ML Trade Score: 140
ML Pullback Score: 7.94

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.01534314412
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 2.09142
  4. ema21 - 2.1499
  5. ema50 - 2.2228
  6. ema100 - 2.25483
  7. price_ema9_diff - -0.00144837
  8. ema9_ema21_diff - -0.0271982
  9. ema21_ema50_diff - -0.0327983
  10. price_ema100_diff - -0.0738126
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.404748
  14. kc_percentage - 0.270265
  15. kc_width_percentage - 0.119924
    16. ¸
  16. 15m
  17. ema9 - 2.05287
  18. ema21 - 2.0648
  19. ema50 - 2.11036
  20. ema100 - 2.1549
  21. price_ema9_diff - 0.0173065
  22. ema9_ema21_diff - -0.00577948
  23. ema21_ema50_diff - -0.02159
  24. price_ema100_diff - -0.0308627
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.532679
  28. kc_percentage - 0.713686
  29. kc_width_percentage - 0.0565459
    30. ¸
  30. 5m
  31. ema9 - 2.06818
  32. ema21 - 2.05183
  33. ema50 - 2.05717
  34. ema100 - 2.08391
  35. price_ema9_diff - 0.00977248
  36. ema9_ema21_diff - 0.00797194
  37. ema21_ema50_diff - -0.00259591
  38. price_ema100_diff - 0.00215429
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.661581
  42. kc_percentage - 1.09721
  43. kc_width_percentage - 0.0288568
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105002
  47. 5m_price_ema100_diff: -0.00352684
  48. 5m_price: 104632
  49. 5m_correlation_with_coin: 0.750704
  50. btc_indicators
  51. 15m_ema100: 105518
  52. 15m_price_ema100_diff: -0.00839475
  53. 15m_price: 104632
  54. btc_indicators
  55. 1H_ema100: 107415
  56. 1H_price_ema100_diff: -0.0259058
  57. 1H_price: 104632
    58. ¸

Short Trade on VIRTUAL

The 30 May 2025 at 14:43:32

With 347.6037 VIRTUAL at 2.0884$ per unit.

Position size of 725.9355 $

Take profit at 2.0539 (1.65 %) and Stop Loss at 2.1114 (1.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -57 %

Symbol Start at Seach Score Trade Score Trades Count
ZEREBRO 2025-05-06 18:30:00 0.9493 -100 4
SEI 2025-06-30 20:18:27 0.9476 -15 2
HYPE 2025-06-14 18:01:24 0.9466 -100 2
SOL 2025-06-17 15:21:03 0.9452 -100 1
FET 2025-06-21 20:35:49 0.9446 30 1

📌 Time Data

Start at Closed at Duration
30 May 2025
14:43:32		 30 May 2025
17:00:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0884 2.1114 2.0539 1.5 1.519
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 2.0884
  • Stop Loss: 2.1114
  • Take Profit: 2.0539

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1114 - 2.0884 = 0.023

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0884 - 2.0539 = 0.0345

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0345 / 0.023 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
725.9355 100 347.6037 7.26
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 0.023

Taille de position = 8 / 0.023 = 347.83

Taille de position USD = 347.83 x 2.0884 = 726.41

Donc, tu peux acheter 347.83 avec un stoploss a 2.1114

Avec un position size USD de 726.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 347.83 x 0.023 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 347.83 x 0.0345 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 347.83
  • Taille de position USD 726.41
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.65 % 11.99 $
SL % Target SL $ Target
1.1 % 7.99 $
PNL PNL %
11.82 $ 1.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.62260536398467 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.042
            [stop_loss] => 2.111
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.0305
            [stop_loss] => 2.111
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.019
            [stop_loss] => 2.111
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.0075
            [stop_loss] => 2.111
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.996
            [stop_loss] => 2.111
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.9845
            [stop_loss] => 2.111
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.973
            [stop_loss] => 2.111
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.9615
            [stop_loss] => 2.111
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.95
            [stop_loss] => 2.111
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.9385
            [stop_loss] => 2.111
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.927
            [stop_loss] => 2.111
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 20:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0305
            [max_drawdown] => 0.0126
            [rr_ratio] => 2.42
            [high] => 2.10100000
            [low] => 2.05790000
            [mfe_pct] => 1.46
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 2.42
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T14:43:32-04:00
            [end_at] => 2025-05-30T16:43:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2271
            [max_drawdown] => 0.0126
            [rr_ratio] => 18.02
            [high] => 2.10100000
            [low] => 1.86130000
            [mfe_pct] => 10.87
            [mae_pct] => 0.6
            [mfe_mae_ratio] => 18.02
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T14:43:32-04:00
            [end_at] => 2025-05-30T20:43:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.09870000
            [high_after] => 2.10100000
            [low_before] => 1.99160000
            [low_after] => 1.86130000
            [is_new_high] => 
            [is_new_low] => 1
        )

)