Trade

buy - VIRTUAL

Status
win
2025-08-07 12:46:39
2 hours
PNL
1.16
Entry: 1.2814
Last: 1.29630000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.3821
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.76
ML Trade Score: 110
ML Pullback Score: 6.33

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.35
  4. atr: 0.006604856654
Details
  1. score: 2.35
  2. 1H
  3. ema9 - 1.29462
  4. ema21 - 1.26684
  5. ema50 - 1.23893
  6. ema100 - 1.22665
  7. price_ema9_diff - -0.0102178
  8. ema9_ema21_diff - 0.0219297
  9. ema21_ema50_diff - 0.0225271
  10. price_ema100_diff - 0.044629
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.564119
  14. adx - 0.358913
  15. kc_percentage - 0.627329
  16. kc_width_percentage - 0.0781698
  17. volume_ema_diff - 0.641147
  18. volume_ema1 - 1654137.3858893
  19. volume_ema2 - 1007915.3391654
  20. ¸
  21. 15m
  22. ema9 - 1.30133
  23. ema21 - 1.30429
  24. ema50 - 1.2847
  25. ema100 - 1.26314
  26. price_ema9_diff - -0.0153161
  27. ema9_ema21_diff - -0.00227591
  28. ema21_ema50_diff - 0.015253
  29. price_ema100_diff - 0.0144549
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.39707
  33. adx - 0.388146
  34. kc_percentage - 0.0403358
  35. kc_width_percentage - 0.0395939
  36. volume_ema_diff - -0.306664
  37. volume_ema1 - 266699.95823188
  38. volume_ema2 - 384662.23579628
  39. ¸
  40. 5m
  41. ema9 - 1.29557
  42. ema21 - 1.30351
  43. ema50 - 1.30838
  44. ema100 - 1.29822
  45. price_ema9_diff - -0.0109406
  46. ema9_ema21_diff - -0.00608796
  47. ema21_ema50_diff - -0.00372872
  48. price_ema100_diff - -0.0129573
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.278796
  52. adx - 0.261909
  53. kc_percentage - -0.353436
  54. kc_width_percentage - 0.0197497
  55. volume_ema_diff - -0.0523463
  56. volume_ema1 - 136557.20096978
  57. volume_ema2 - 144100.32267252
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116118
  62. 5m_price_ema100_diff: -0.000846961
  63. 5m_price: 116020
  64. 5m_correlation_with_coin: 0.68682
  65. btc_indicators
  66. 15m_ema100: 115525
  67. 15m_price_ema100_diff: 0.0042808
  68. 15m_price: 116020
  69. btc_indicators
  70. 1H_ema100: 114613
  71. 1H_price_ema100_diff: 0.0122803
  72. 1H_price: 116020
  73. ¸

Long Trade on VIRTUAL

The 07 Aug 2025 at 12:46:39

With 807.4866 VIRTUAL at 1.2814$ per unit.

Position size of 1034.7133 $

Take profit at 1.2963 (1.16 %) and Stop Loss at 1.2715 (0.77 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -42.67 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-08-07 12:43:05 0.9842 -100 1
FLOKI 2025-06-09 23:29:05 0.9819 -56.67 3
1000BONK 2025-08-07 12:44:10 0.983 -100 1
SUI 2025-08-07 12:59:21 0.98 30 2
UNI 2025-08-04 15:58:51 0.9795 40 2
GALA 2025-08-07 12:42:36 0.9783 -100 1
SHIB 2025-06-09 23:45:34 0.9783 30 1
ADA 2025-08-07 12:41:29 0.9775 -100 1
SWARMS 2025-08-10 19:06:16 0.9775 -100 1
PNUT 2025-05-18 08:07:51 0.9771 30 1

📌 Time Data

Start at Closed at Duration
07 Aug 2025
12:46:39
07 Aug 2025
15:25:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.2814 1.2715 1.2963 1.51 1.2838
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 1.2814
  • Stop Loss: 1.2715
  • Take Profit: 1.2963

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.2715 - 1.2814 = -0.0099

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.2814 - 1.2963 = -0.0149

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0149 / -0.0099 = 1.5051

📌 Position Size

Amount Margin Quantity Leverage
1034.7133 100 807.4866 10.35
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 -0.0099

Taille de position = 8 / -0.0099 = -808.08

Taille de position USD = -808.08 x 1.2814 = -1035.47

Donc, tu peux acheter -808.08 avec un stoploss a 1.2715

Avec un position size USD de -1035.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -808.08 x -0.0099 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -808.08 x -0.0149 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position -808.08
  • Taille de position USD -1035.47
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.5051

📌 Peformances

TP % Target TP $ Target
1.16 % 12.03 $
SL % Target SL $ Target
0.77 % 7.99 $
PNL PNL %
12.03 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2575 % 33.33 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.3012
            [stop_loss] => 1.2715
            [rr_ratio] => 2
            [closed_at] => 2025-08-07 15:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.30615
            [stop_loss] => 1.2715
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-07 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.3111
            [stop_loss] => 1.2715
            [rr_ratio] => 3
            [closed_at] => 2025-08-07 15:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.31605
            [stop_loss] => 1.2715
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-07 15:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.321
            [stop_loss] => 1.2715
            [rr_ratio] => 4
            [closed_at] => 2025-08-07 15:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.32595
            [stop_loss] => 1.2715
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-07 16:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.3309
            [stop_loss] => 1.2715
            [rr_ratio] => 5
            [closed_at] => 2025-08-07 16:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.33585
            [stop_loss] => 1.2715
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-07 18:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0095999999999998
            [max_drawdown] => 0.0033000000000001
            [rr_ratio] => 2.91
            [high] => 1.29100000
            [low] => 1.27810000
            [mfe_pct] => 0.75
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 2.91
            [candles_analyzed] => 24
            [start_at] => 2025-08-07T12:46:39-04:00
            [end_at] => 2025-08-07T14:46:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0589
            [max_drawdown] => 0.0033000000000001
            [rr_ratio] => 17.85
            [high] => 1.34030000
            [low] => 1.27810000
            [mfe_pct] => 4.6
            [mae_pct] => 0.26
            [mfe_mae_ratio] => 17.85
            [candles_analyzed] => 84
            [start_at] => 2025-08-07T12:46:39-04:00
            [end_at] => 2025-08-07T19:46:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.35620000
            [high_after] => 1.33840000
            [low_before] => 1.27060000
            [low_after] => 1.27810000
            [is_new_high] => 
            [is_new_low] => 
        )

)