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Trade

buy - VIRTUAL

Status
win
2025-06-23 22:51:50
13 minutes
PNL
1.37
Entry: 1.611
Last: 1.63300000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0333
Prediction 1 Accuracy
Weak Trade
0.57
Prediction 2 Accuracy
0 0.47
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.009838590213
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 1.60547
  4. ema21 - 1.52654
  5. ema50 - 1.4721
  6. ema100 - 1.49222
  7. price_ema9_diff - 0.00319515
  8. ema9_ema21_diff - 0.0516999
  9. ema21_ema50_diff - 0.0369829
  10. price_ema100_diff - 0.0793254
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.632877
  14. kc_percentage - 0.863688
  15. kc_width_percentage - 0.135433
  16. volume_ema_diff - 0.0622929
  17. volume_ema1 - 3434982.6517185
  18. volume_ema2 - 3233555.0550427
    19. ¸
  19. 15m
  20. ema9 - 1.64018
  21. ema21 - 1.63714
  22. ema50 - 1.57667
  23. ema100 - 1.51085
  24. price_ema9_diff - -0.0180353
  25. ema9_ema21_diff - 0.00185508
  26. ema21_ema50_diff - 0.038353
  27. price_ema100_diff - 0.0660193
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.467042
  31. kc_percentage - 0.1745
  32. kc_width_percentage - 0.0536785
  33. volume_ema_diff - -0.534869
  34. volume_ema1 - 462747.75287784
  35. volume_ema2 - 994876.3131639
    36. ¸
  36. 5m
  37. ema9 - 1.6225
  38. ema21 - 1.63704
  39. ema50 - 1.64469
  40. ema100 - 1.62239
  41. price_ema9_diff - -0.00733892
  42. ema9_ema21_diff - -0.00888075
  43. ema21_ema50_diff - -0.00465099
  44. price_ema100_diff - -0.00727021
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.307334
  48. kc_percentage - -0.198562
  49. kc_width_percentage - 0.022651
  50. volume_ema_diff - -0.635631
  51. volume_ema1 - 98247.968185247
  52. volume_ema2 - 269639.0247558
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 104531
  56. 5m_price_ema100_diff: 0.00303798
  57. 5m_price: 104848
  58. 5m_correlation_with_coin: 0.764499
  59. btc_indicators
  60. 15m_ema100: 102956
  61. 15m_price_ema100_diff: 0.018377
  62. 15m_price: 104848
  63. btc_indicators
  64. 1H_ema100: 102785
  65. 1H_price_ema100_diff: 0.0200775
  66. 1H_price: 104848
    67. ¸

Long Trade on VIRTUAL

The 23 Jun 2025 at 22:51:50

With 542.1 VIRTUAL at 1.611$ per unit.

Position size of 873.1 $

Take profit at 1.633 (1.4 %) and Stop Loss at 1.596 (0.93 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 30.91 %

Symbol Start at Seach Score Trade Score Trades Count
SUI 2025-06-23 23:01:45 0.9831 30 1
MOODENG 2025-06-23 22:51:19 0.9803 30 1
TRUMP 2025-06-23 22:53:02 0.9794 40 1
1MBABYDOGE 2025-06-23 22:58:01 0.9768 30 2
ENA 2025-04-23 03:41:57 0.9769 100 1
KAIA 2025-06-23 23:01:01 0.9769 70 1
ALGO 2025-06-23 22:59:49 0.9767 40 1
PARTI 2025-05-29 20:03:07 0.9767 40 1
ZEREBRO 2025-06-23 22:52:38 0.9751 30 1
PEPE 2025-03-26 10:25:01 0.9743 30 1
ATOM 2025-06-23 22:59:20 0.9742 -100 1

📌 Time Data

Start at Closed at Duration
23 Jun 2025
22:51:50		 23 Jun 2025
23:05:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.611 1.596 1.633 1.5 1.537
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 1.611
  • Stop Loss: 1.596
  • Take Profit: 1.633

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.596 - 1.611 = -0.015

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.611 - 1.633 = -0.022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.022 / -0.015 = 1.4667

📌 Position Size

Amount Margin Quantity Leverage
873.1 100 542.1 8.73
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 -0.015

Taille de position = 8 / -0.015 = -533.33

Taille de position USD = -533.33 x 1.611 = -859.19

Donc, tu peux acheter -533.33 avec un stoploss a 1.596

Avec un position size USD de -859.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -533.33 x -0.015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -533.33 x -0.022 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

  • Taille de position -533.33
  • Taille de position USD -859.19
  • Perte potentielle 8
  • Gain potentiel 11.73
  • Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.93 % 8.1 $
PNL PNL %
12 $ 1.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.641
            [stop_loss] => 1.596
            [rr_ratio] => 2
            [closed_at] => 2025-06-23 23:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.6485
            [stop_loss] => 1.596
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-23 23:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.656
            [stop_loss] => 1.596
            [rr_ratio] => 3
            [closed_at] => 2025-06-23 23:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.6635
            [stop_loss] => 1.596
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-24 00:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.671
            [stop_loss] => 1.596
            [rr_ratio] => 4
            [closed_at] => 2025-06-24 01:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.6785
            [stop_loss] => 1.596
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-24 01:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.686
            [stop_loss] => 1.596
            [rr_ratio] => 5
            [closed_at] => 2025-06-24 01:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.6935
            [stop_loss] => 1.596
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-24 01:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.701
            [stop_loss] => 1.596
            [rr_ratio] => 6
            [closed_at] => 2025-06-24 01:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.7085
            [stop_loss] => 1.596
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-24 01:40:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.716
            [stop_loss] => 1.596
            [rr_ratio] => 7
            [closed_at] => 2025-06-24 01:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)