Web3Way Logo

Trade

sell - VIRTUAL

Status
win
2025-07-05 19:12:49
22 minutes
PNL
0.45
Entry: 1.547
Last: 1.54000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.6875
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.38
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.003214519499
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 1.54171
  4. ema21 - 1.55067
  5. ema50 - 1.56453
  6. ema100 - 1.55607
  7. price_ema9_diff - 0.0035608
  8. ema9_ema21_diff - -0.00578377
  9. ema21_ema50_diff - -0.0088537
  10. price_ema100_diff - -0.00570129
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.471081
  14. kc_percentage - 0.461384
  15. kc_width_percentage - 0.0458415
  16. volume_ema_diff - -0.71965
  17. volume_ema1 - 536501.1720778
  18. volume_ema2 - 1913687.4057392
    19. ¸
  19. 15m
  20. ema9 - 1.53948
  21. ema21 - 1.53735
  22. ema50 - 1.54358
  23. ema100 - 1.55181
  24. price_ema9_diff - 0.0050128
  25. ema9_ema21_diff - 0.0013837
  26. ema21_ema50_diff - -0.00403451
  27. price_ema100_diff - -0.00297442
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.592184
  31. kc_percentage - 0.843724
  32. kc_width_percentage - 0.0186034
  33. volume_ema_diff - -0.754827
  34. volume_ema1 - 71045.924326902
  35. volume_ema2 - 289779.38085871
    36. ¸
  36. 5m
  37. ema9 - 1.5423
  38. ema21 - 1.53978
  39. ema50 - 1.53676
  40. ema100 - 1.53739
  41. price_ema9_diff - 0.00317472
  42. ema9_ema21_diff - 0.00163867
  43. ema21_ema50_diff - 0.00196314
  44. price_ema100_diff - 0.00637846
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.695499
  48. kc_percentage - 1.0883
  49. kc_width_percentage - 0.00795049
  50. volume_ema_diff - -0.760253
  51. volume_ema1 - 12551.743978149
  52. volume_ema2 - 52354.23743626
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108046
  56. 5m_price_ema100_diff: 0.00102571
  57. 5m_price: 108157
  58. 5m_correlation_with_coin: 0.600264
  59. btc_indicators
  60. 15m_ema100: 108036
  61. 15m_price_ema100_diff: 0.00111279
  62. 15m_price: 108157
  63. btc_indicators
  64. 1H_ema100: 107988
  65. 1H_price_ema100_diff: 0.00156062
  66. 1H_price: 108157
    67. ¸

Short Trade on VIRTUAL

The 05 Jul 2025 at 19:12:49

With 1659 VIRTUAL at 1.547$ per unit.

Position size of 2567 $

Take profit at 1.54 (0.45 %) and Stop Loss at 1.552 (0.32 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -36.67 %

Symbol Start at Seach Score Trade Score Trades Count
NEIROCTO 2025-07-05 19:18:31 0.97 -30 2
POPCAT 2025-07-05 19:17:45 0.9635 -35 2
GRIFFAIN 2025-03-26 22:25:07 0.9617 -100 3
PENGU 2025-07-05 19:06:00 0.9641 -100 1
HIPPO 2025-05-30 23:55:32 0.964 -100 1
PNUT 2025-07-05 19:13:13 0.9624 30 1
MOVE 2025-07-05 19:14:00 0.9589 40 1
GRASS 2025-06-09 00:35:26 0.954 45 2
ARC 2025-03-26 22:15:08 0.9535 -80 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
19:12:49		 05 Jul 2025
19:35:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.547 1.552 1.54 1.4 1.587
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 1.547
  • Stop Loss: 1.552
  • Take Profit: 1.54

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.552 - 1.547 = 0.0050000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.547 - 1.54 = 0.0069999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0069999999999999 / 0.0050000000000001 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
2567 100 1659 25.67
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 0.0050000000000001

Taille de position = 8 / 0.0050000000000001 = 1600

Taille de position USD = 1600 x 1.547 = 2475.2

Donc, tu peux acheter 1600 avec un stoploss a 1.552

Avec un position size USD de 2475.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1600 x 0.0050000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1600 x 0.0069999999999999 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 1600
  • Taille de position USD 2475.2
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.45 % 12 $
SL % Target SL $ Target
0.32 % 8.3 $
PNL PNL %
12 $ 0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2069 % 64.02 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.537
            [stop_loss] => 1.552
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 21:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.5345
            [stop_loss] => 1.552
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 21:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.532
            [stop_loss] => 1.552
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.5295
            [stop_loss] => 1.552
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.527
            [stop_loss] => 1.552
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.5245
            [stop_loss] => 1.552
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.522
            [stop_loss] => 1.552
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.5195
            [stop_loss] => 1.552
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.517
            [stop_loss] => 1.552
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.5145
            [stop_loss] => 1.552
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.512
            [stop_loss] => 1.552
            [rr_ratio] => 7
            [closed_at] => 2025-07-05 22:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)