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Short Trade on VIRTUAL

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Short Trade on VIRTUAL 30 May 2025 at 14:30:22

Take profit at 2.0482 (1.57 %) and Stop Loss at 2.1025 (1.04 %)

Short Trade on VIRTUAL

The 30 May 2025 at 14:30:22

With 368.3269 VIRTUAL at 2.0808$ per unit.

Position size of 766.4147 $

Take profit at 2.0482 (1.57 %) and Stop Loss at 2.1025 (1.04 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 6.9
Prediction Score: 0.6857
Prediction 1 Probability
Strong Trade
0.56
Prediction 2 Probability
0 0.4
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.752427

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.01447988979
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 2.0864
  4. ema21 : 2.14687
  5. ema50 : 2.22114
  6. ema100 : 2.25406
  7. price_ema9_diff : -0.00268424
  8. ema9_ema21_diff : -0.0281703
  9. ema21_ema50_diff : -0.0334354
  10. price_ema100_diff : -0.0768658
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.403467
  14. kc_percentage : 0.25305
  15. kc_width_percentage : 0.120687
    16. ¸
  16. 15m
  17. ema9 : 2.04482
  18. ema21 : 2.06218
  19. ema50 : 2.11101
  20. ema100 : 2.15578
  21. price_ema9_diff : 0.0175937
  22. ema9_ema21_diff : -0.00842082
  23. ema21_ema50_diff : -0.0231296
  24. price_ema100_diff : -0.0347811
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.515763
  28. kc_percentage : 0.677438
  29. kc_width_percentage : 0.0556236
    30. ¸
  30. 5m
  31. ema9 : 2.05817
  32. ema21 : 2.0448
  33. ema50 : 2.05457
  34. ema100 : 2.08179
  35. price_ema9_diff : 0.0109928
  36. ema9_ema21_diff : 0.00654038
  37. ema21_ema50_diff : -0.00475488
  38. price_ema100_diff : -0.000480137
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.671994
  42. kc_percentage : 1.14547
  43. kc_width_percentage : 0.0265709
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104994
  47. 5m_price_ema100_diff: 
    -0.0041309
  48. 5m_price: 
    104560
  49. 5m_correlation_with_coin: 
    0.752427
  50. btc_indicators
  51. 15m_ema100: 
    105516
  52. 15m_price_ema100_diff: 
    -0.00906463
  53. 15m_price: 
    104560
  54. btc_indicators
  55. 1H_ema100: 
    107413
  56. 1H_price_ema100_diff: 
    -0.0265641
  57. 1H_price: 
    104560
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
14:30:22		 30 May 2025
17:35:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.0808 2.1025 2.0482 1.5 0.6993
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 2.0808
  • Stop Loss: 2.1025
  • Take Profit: 2.0482

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1025 - 2.0808 = 0.0217

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.0808 - 2.0482 = 0.0326

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0326 / 0.0217 = 1.5023

📌 Position Size

Amount Margin Quantity Leverage
766.4147 100 368.3269 7.66
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 0.0217

Taille de position = 8 / 0.0217 = 368.66

Taille de position USD = 368.66 x 2.0808 = 767.11

Donc, tu peux acheter 368.66 avec un stoploss a 2.1025

Avec un position size USD de 767.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 368.66 x 0.0217 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 368.66 x 0.0326 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 368.66
  • Taille de position USD 767.11
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5023

📌 Peformances

TP % Target TP $ Target
1.57 % 12.01 $
SL % Target SL $ Target
1.04 % 7.99 $
PNL PNL %
12.15 $ 1.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.96107640557424 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.037
            [stop_loss] => 2.103
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.026
            [stop_loss] => 2.103
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.015
            [stop_loss] => 2.103
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.004
            [stop_loss] => 2.103
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.993
            [stop_loss] => 2.103
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.982
            [stop_loss] => 2.103
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.971
            [stop_loss] => 2.103
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.96
            [stop_loss] => 2.103
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.949
            [stop_loss] => 2.103
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.938
            [stop_loss] => 2.103
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.927
            [stop_loss] => 2.103
            [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] => 0.0229
            [max_drawdown] => 0.0202
            [rr_ratio] => 1.13
            [high] => 2.10100000
            [low] => 2.05790000
            [mfe_pct] => 1.1
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 1.13
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T14:30:22-04:00
            [end_at] => 2025-05-30T16:30:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.2195
            [max_drawdown] => 0.0202
            [rr_ratio] => 10.87
            [high] => 2.10100000
            [low] => 1.86130000
            [mfe_pct] => 10.55
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 10.87
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T14:30:22-04:00
            [end_at] => 2025-05-30T20:30:22-04:00
        )

    [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
        )

)