Long Trade on BGSC 03 Sep 2025 at 17:39:52

Take profit at 0.008564 (4.45 %) and Stop Loss at 0.008017 (2.22 %)

Long Trade on BGSC

The 03 Sep 2025 at 17:39:52

With 43877.1035 BGSC at 0.008199$ per unit.

Position size of 359.7484 $

Take profit at 0.008564 (4.45 %) and Stop Loss at 0.008017 (2.22 %)

That's a 2.01 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 110
ML Pullback Score: 8
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.51
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

BTC Correlation Score

5m : 0.06708

15m : -0.014079

1H : 0.134281

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0001215516274
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.00839802
  4. ema21 : 0.00814589
  5. ema50 : 0.00766767
  6. ema100 : 0.00718149
  7. price_ema9_diff : -0.023699
  8. ema9_ema21_diff : 0.0309512
  9. ema21_ema50_diff : 0.0623683
  10. price_ema100_diff : 0.141683
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.519492
  14. adx : 0.61899
  15. kc_percentage : 0.515379
  16. kc_width_percentage : 0.264192
  17. volume_ema_diff : 0.889522
  18. volume_ema1 : 465029.50842256
  19. volume_ema2 : 246109.53155361
  20. ¸
  21. 15m
  22. ema9 : 0.00840426
  23. ema21 : 0.00839723
  24. ema50 : 0.00823753
  25. ema100 : 0.00805835
  26. price_ema9_diff : -0.0244241
  27. ema9_ema21_diff : 0.000836935
  28. ema21_ema50_diff : 0.0193879
  29. price_ema100_diff : 0.0174533
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.477551
  33. adx : 0.364425
  34. kc_percentage : 0.333253
  35. kc_width_percentage : 0.14867
  36. volume_ema_diff : -0.593152
  37. volume_ema1 : 42478.277882682
  38. volume_ema2 : 104408.31612211
  39. ¸
  40. 5m
  41. ema9 : 0.00832138
  42. ema21 : 0.00839881
  43. ema50 : 0.00841234
  44. ema100 : 0.00831035
  45. price_ema9_diff : -0.0147074
  46. ema9_ema21_diff : -0.0092188
  47. ema21_ema50_diff : -0.00160813
  48. price_ema100_diff : -0.0133994
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.392474
  52. adx : 0.118251
  53. kc_percentage : -0.0058039
  54. kc_width_percentage : 0.0470965
  55. volume_ema_diff : -0.766547
  56. volume_ema1 : 9759.5826015332
  57. volume_ema2 : 41805.511576224
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    111926
  62. 5m_price_ema100_diff:
    -0.0010467
  63. 5m_price:
    111809
  64. 5m_correlation_with_coin:
    0.06708
  65. btc_indicators
  66. 15m_ema100:
    111578
  67. 15m_price_ema100_diff:
    0.00268845
  68. 15m_price:
    111878
  69. 15m_correlation_with_coin:
    -0.014079
  70. btc_indicators
  71. 1H_ema100:
    110129
  72. 1H_price_ema100_diff:
    0.0152514
  73. 1H_price:
    111809
  74. 1H_correlation_with_coin:
    0.134281
  75. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 Sep 2025
17:39:52
03 Sep 2025
20:00:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.008199 0.008017 0.008564 2.01 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 0.008199
  • Stop Loss: 0.008017
  • Take Profit: 0.008564

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.008017 - 0.008199 = -0.000182

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.008199 - 0.008564 = -0.000365

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.000365 / -0.000182 = 2.0055

📌 Position Size

Amount Margin Quantity Leverage
359.7484 100 43877.1035 3.60
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 -0.000182

Taille de position = 8 / -0.000182 = -43956.04

Taille de position USD = -43956.04 x 0.008199 = -360.4

Donc, tu peux acheter -43956.04 avec un stoploss a 0.008017

Avec un position size USD de -360.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -43956.04 x -0.000182 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -43956.04 x -0.000365 = 16.04

Si Take Profit atteint, tu gagneras 16.04$

Résumé

  • Taille de position -43956.04
  • Taille de position USD -360.4
  • Perte potentielle 8
  • Gain potentiel 16.04
  • Risk-Reward Ratio 2.0055

📌 Peformances

TP % Target TP $ Target
4.45 % 16.02 $
SL % Target SL $ Target
2.22 % 7.99 $
PNL PNL %
16.02 $ 4.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0366 % 1.65 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.008563
            [stop_loss] => 0.008017
            [rr_ratio] => 2
            [closed_at] => 2025-09-03 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.008654
            [stop_loss] => 0.008017
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-03 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.008745
            [stop_loss] => 0.008017
            [rr_ratio] => 3
            [closed_at] => 2025-09-03 20:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.008836
            [stop_loss] => 0.008017
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-03 20:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.008927
            [stop_loss] => 0.008017
            [rr_ratio] => 4
            [closed_at] => 2025-09-03 20:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.009018
            [stop_loss] => 0.008017
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-03 20:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.009109
            [stop_loss] => 0.008017
            [rr_ratio] => 5
            [closed_at] => 2025-09-03 20:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0092
            [stop_loss] => 0.008017
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-03 20:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000283
            [max_drawdown] => 2.9999999999995E-6
            [rr_ratio] => 94.33
            [high] => 0.00848200
            [low] => 0.00819600
            [mfe_pct] => 3.45
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 94.33
            [candles_analyzed] => 24
            [start_at] => 2025-09-03T17:39:52-04:00
            [end_at] => 2025-09-03T19:39:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001143
            [max_drawdown] => 2.9999999999995E-6
            [rr_ratio] => 100
            [high] => 0.00934200
            [low] => 0.00819600
            [mfe_pct] => 13.94
            [mae_pct] => 0.04
            [mfe_mae_ratio] => 381
            [candles_analyzed] => 84
            [start_at] => 2025-09-03T17:39:52-04:00
            [end_at] => 2025-09-04T00:39:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01013900
            [high_after] => 0.00922700
            [low_before] => 0.00798500
            [low_after] => 0.00819600
            [is_new_high] => 
            [is_new_low] => 
        )

)