Short Trade on BGSC 10 Jul 2025 at 17:53:17

Take profit at 0.00679 (1.11 %) and Stop Loss at 0.006917 (0.74 %)

Short Trade on BGSC

The 10 Jul 2025 at 17:53:17

With 157084.2464 BGSC at 0.006866$ per unit.

Position size of 1078.5404 $

Take profit at 0.00679 (1.11 %) and Stop Loss at 0.006917 (0.74 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 9.5
Prediction Score: -0.1286
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.54
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : -0.011077

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 3.39520573E-5
Details
  1. score: 1.19
  2. 1H
  3. ema9 : 0.006947
  4. ema21 : 0.00709602
  5. ema50 : 0.00722808
  6. ema100 : 0.0072338
  7. price_ema9_diff : -0.0116605
  8. ema9_ema21_diff : -0.0210003
  9. ema21_ema50_diff : -0.0182704
  10. price_ema100_diff : -0.0508454
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.349704
  14. kc_percentage : 0.122889
  15. kc_width_percentage : 0.0854553
  16. volume_ema_diff : 0.422571
  17. volume_ema1 : 318115.3725711
  18. volume_ema2 : 223620.02805562
  19. ¸
  20. 15m
  21. ema9 : 0.00679179
  22. ema21 : 0.00686118
  23. ema50 : 0.00700589
  24. ema100 : 0.00713505
  25. price_ema9_diff : 0.0109262
  26. ema9_ema21_diff : -0.0101142
  27. ema21_ema50_diff : -0.0206557
  28. price_ema100_diff : -0.0377083
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.433399
  32. kc_percentage : 0.541677
  33. kc_width_percentage : 0.0389593
  34. volume_ema_diff : -0.657135
  35. volume_ema1 : 27271.39069022
  36. volume_ema2 : 79539.832724188
  37. ¸
  38. 5m
  39. ema9 : 0.00678785
  40. ema21 : 0.00677637
  41. ema50 : 0.00682997
  42. ema100 : 0.00692441
  43. price_ema9_diff : 0.0115123
  44. ema9_ema21_diff : 0.00169431
  45. ema21_ema50_diff : -0.00784768
  46. price_ema100_diff : -0.00843624
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.650342
  50. kc_percentage : 1.18916
  51. kc_width_percentage : 0.0190682
  52. volume_ema_diff : -0.349079
  53. volume_ema1 : 16701.855207716
  54. volume_ema2 : 25658.806499357
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    113108
  59. 5m_price_ema100_diff:
    0.0282714
  60. 5m_price:
    116306
  61. 5m_correlation_with_coin:
    -0.011077
  62. btc_indicators
  63. 15m_ema100:
    112038
  64. 15m_price_ema100_diff:
    0.0399952
  65. 15m_price:
    116519
  66. btc_indicators
  67. 1H_ema100:
    109950
  68. 1H_price_ema100_diff:
    0.0578085
  69. 1H_price:
    116306
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Jul 2025
17:53:17
10 Jul 2025
18:10:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.006866 0.006917 0.00679 1.49 0.0007
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 0.006866
  • Stop Loss: 0.006917
  • Take Profit: 0.00679

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.006917 - 0.006866 = 5.1000000000001E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.006866 - 0.00679 = 7.6E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 7.6E-5 / 5.1000000000001E-5 = 1.4902

📌 Position Size

Amount Margin Quantity Leverage
1078.5404 100 157084.2464 10.79
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 5.1000000000001E-5

Taille de position = 8 / 5.1000000000001E-5 = 156862.75

Taille de position USD = 156862.75 x 0.006866 = 1077.02

Donc, tu peux acheter 156862.75 avec un stoploss a 0.006917

Avec un position size USD de 1077.02$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 156862.75 x 5.1000000000001E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 156862.75 x 7.6E-5 = 11.92

Si Take Profit atteint, tu gagneras 11.92$

Résumé

  • Taille de position 156862.75
  • Taille de position USD 1077.02
  • Perte potentielle 8
  • Gain potentiel 11.92
  • Risk-Reward Ratio 1.4902

📌 Peformances

TP % Target TP $ Target
1.11 % 11.94 $
SL % Target SL $ Target
0.74 % 8.01 $
PNL PNL %
11.94 $ 1.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3204 % 43.13 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.006764
            [stop_loss] => 0.006917
            [rr_ratio] => 2
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0067385
            [stop_loss] => 0.006917
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.006713
            [stop_loss] => 0.006917
            [rr_ratio] => 3
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0066875
            [stop_loss] => 0.006917
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.006662
            [stop_loss] => 0.006917
            [rr_ratio] => 4
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0066365
            [stop_loss] => 0.006917
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.006611
            [stop_loss] => 0.006917
            [rr_ratio] => 5
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0065855
            [stop_loss] => 0.006917
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.00656
            [stop_loss] => 0.006917
            [rr_ratio] => 6
            [closed_at] => 2025-07-10 18:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000323
            [max_drawdown] => 2.9E-5
            [rr_ratio] => 11.14
            [high] => 0.00689500
            [low] => 0.00654300
            [mfe_pct] => 4.7
            [mae_pct] => 0.42
            [mfe_mae_ratio] => 11.14
            [candles_analyzed] => 24
            [start_at] => 2025-07-10T17:53:17-04:00
            [end_at] => 2025-07-10T19:53:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000323
            [max_drawdown] => 4.3000000000001E-5
            [rr_ratio] => 7.51
            [high] => 0.00690900
            [low] => 0.00654300
            [mfe_pct] => 4.7
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 7.51
            [candles_analyzed] => 72
            [start_at] => 2025-07-10T17:53:17-04:00
            [end_at] => 2025-07-10T23:53:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00707400
            [high_after] => 0.00690900
            [low_before] => 0.00667900
            [low_after] => 0.00654300
            [is_new_high] => 
            [is_new_low] => 1
        )

)