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Trade

sell - VIRTUAL

Status
win
2025-05-25 08:46:24
18 minutes
PNL
1.08
Entry: 1.9428
Last: 1.92200000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.9544
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.68
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.009306089431
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 1.93734
  4. ema21 - 1.96046
  5. ema50 - 1.98669
  6. ema100 - 1.98766
  7. price_ema9_diff - 0.00281439
  8. ema9_ema21_diff - -0.0117908
  9. ema21_ema50_diff - -0.0132022
  10. price_ema100_diff - -0.0225705
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.442975
  14. kc_percentage - 0.389005
  15. kc_width_percentage - 0.0748356
    16. ¸
  16. 15m
  17. ema9 - 1.92045
  18. ema21 - 1.92217
  19. ema50 - 1.94251
  20. ema100 - 1.96257
  21. price_ema9_diff - 0.0116356
  22. ema9_ema21_diff - -0.000892959
  23. ema21_ema50_diff - -0.0104716
  24. price_ema100_diff - -0.0100748
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.559039
  28. kc_percentage - 0.791202
  29. kc_width_percentage - 0.0375099
    30. ¸
  30. 5m
  31. ema9 - 1.92734
  32. ema21 - 1.91976
  33. ema50 - 1.91841
  34. ema100 - 1.92784
  35. price_ema9_diff - 0.00801797
  36. ema9_ema21_diff - 0.0039481
  37. ema21_ema50_diff - 0.00070495
  38. price_ema100_diff - 0.00775582
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.670277
  42. kc_percentage - 1.11555
  43. kc_width_percentage - 0.0189605
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 107421
  47. 5m_price_ema100_diff: -0.000655866
  48. 5m_price: 107351
  49. 5m_correlation_with_coin: 0.672861
  50. btc_indicators
  51. 15m_ema100: 107997
  52. 15m_price_ema100_diff: -0.00597841
  53. 15m_price: 107351
  54. btc_indicators
  55. 1H_ema100: 108393
  56. 1H_price_ema100_diff: -0.00961071
  57. 1H_price: 107351
    58. ¸

Short Trade on VIRTUAL

The 25 May 2025 at 08:46:24

With 573.1014 VIRTUAL at 1.9428$ per unit.

Position size of 1113.4215 $

Take profit at 1.9219 (1.08 %) and Stop Loss at 1.9568 (0.72 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -73.52 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-05-25 08:49:20 0.9796 -100 1
VET 2025-05-25 08:49:14 0.9791 -100 1
AI16Z 2025-05-25 08:52:15 0.9704 -35 2
ZRO 2025-05-25 08:47:59 0.9737 -100 2
EIGEN 2025-05-31 00:31:43 0.9645 -56.67 3
VANRY 2025-05-31 00:37:14 0.9658 -100 1
GRASS 2025-05-25 08:46:17 0.9616 -100 1
IO 2025-05-25 08:47:44 0.9615 30 2
MEW 2025-05-31 00:39:01 0.9595 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
08:46:24		 25 May 2025
09:05:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.9428 1.9568 1.9219 1.49 1.2063
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 1.9428
  • Stop Loss: 1.9568
  • Take Profit: 1.9219

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.9568 - 1.9428 = 0.014

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.9428 - 1.9219 = 0.0209

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0209 / 0.014 = 1.4929

📌 Position Size

Amount Margin Quantity Leverage
1113.4215 100 573.1014 11.13
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 0.014

Taille de position = 8 / 0.014 = 571.43

Taille de position USD = 571.43 x 1.9428 = 1110.17

Donc, tu peux acheter 571.43 avec un stoploss a 1.9568

Avec un position size USD de 1110.17$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 571.43 x 0.014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 571.43 x 0.0209 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position 571.43
  • Taille de position USD 1110.17
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4929

📌 Peformances

TP % Target TP $ Target
1.08 % 11.98 $
SL % Target SL $ Target
0.72 % 8.02 $
PNL PNL %
12.03 $ 1.08
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.915
            [stop_loss] => 1.957
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 09:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.908
            [stop_loss] => 1.957
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 09:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.901
            [stop_loss] => 1.957
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 09:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.894
            [stop_loss] => 1.957
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 10:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.887
            [stop_loss] => 1.957
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 10:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.88
            [stop_loss] => 1.957
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 10:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.873
            [stop_loss] => 1.957
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 11:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.866
            [stop_loss] => 1.957
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 11:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.859
            [stop_loss] => 1.957
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 11:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.852
            [stop_loss] => 1.957
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 11:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.845
            [stop_loss] => 1.957
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 11:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0685
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.93280000
            [low] => 1.87430000
            [mfe_pct] => 3.53
            [mae_pct] => -0.51
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-25T08:46:24-04:00
            [end_at] => 2025-05-25T10:46:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1137
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 1.93280000
            [low] => 1.82910000
            [mfe_pct] => 5.85
            [mae_pct] => -0.51
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-25T08:46:24-04:00
            [end_at] => 2025-05-25T14:46:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.94360000
            [high_after] => 1.93280000
            [low_before] => 1.88000000
            [low_after] => 1.82910000
            [is_new_high] => 
            [is_new_low] => 1
        )

)