Short Trade on BGSC 25 Sep 2025 at 17:48:53

Take profit at 0.004372 (6.2 %) and Stop Loss at 0.004805 (3.09 %)

Short Trade on BGSC

The 25 Sep 2025 at 17:48:53

With 55420.3385 BGSC at 0.004661$ per unit.

Position size of 258.3142 $

Take profit at 0.004372 (6.2 %) and Stop Loss at 0.004805 (3.09 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 1.45
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.95
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_high

BTC Correlation Score

5m : 0.268905

15m : 0.053655

1H : 0.126215

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 9.623422509E-5
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.00478696
  4. ema21 : 0.00521277
  5. ema50 : 0.00563895
  6. ema100 : 0.00599643
  7. price_ema9_diff : -0.0263141
  8. ema9_ema21_diff : -0.081686
  9. ema21_ema50_diff : -0.0755776
  10. price_ema100_diff : -0.222704
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.44522
  14. ema_slope_21 : -0.920621
  15. ema_slope_50 : -0.533089
  16. ema_slope_100 : -0.341325
  17. rsi : 0.4025
  18. adx : 0.371461
  19. kc_percentage : 0.21958
  20. kc_width_percentage : 0.403348
  21. volume_ema_diff : 1.30032
  22. volume_ema1 : 834467.07769742
  23. volume_ema2 : 362760.12892973
  24. chop : 16.7671
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.00450267
  29. ema21 : 0.00462529
  30. ema50 : 0.00500992
  31. ema100 : 0.00532865
  32. price_ema9_diff : 0.0351615
  33. ema9_ema21_diff : -0.0265098
  34. ema21_ema50_diff : -0.0767736
  35. price_ema100_diff : -0.125294
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.235588
  39. ema_slope_21 : -0.646333
  40. ema_slope_50 : -0.558874
  41. ema_slope_100 : -0.368477
  42. rsi : 0.48551
  43. adx : 0.353843
  44. kc_percentage : 0.553177
  45. kc_width_percentage : 0.207598
  46. volume_ema_diff : -0.690062
  47. volume_ema1 : 61001.75390105
  48. volume_ema2 : 196819.49883722
  49. chop : 60.0869
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.00457495
  54. ema21 : 0.00447184
  55. ema50 : 0.0045445
  56. ema100 : 0.00481419
  57. price_ema9_diff : 0.0188072
  58. ema9_ema21_diff : 0.0230574
  59. ema21_ema50_diff : -0.0159869
  60. price_ema100_diff : -0.0318213
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.827128
  64. ema_slope_21 : 0.371146
  65. ema_slope_50 : -0.00971634
  66. ema_slope_100 : -0.133115
  67. rsi : 0.639178
  68. adx : 0.241874
  69. kc_percentage : 1.06417
  70. kc_width_percentage : 0.0705074
  71. volume_ema_diff : -0.81362
  72. volume_ema1 : 13017.420588735
  73. volume_ema2 : 69843.62667765
  74. chop : 35.0262
  75. regime : range_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    110000
  80. 5m_price_ema100_diff:
    -0.00690849
  81. 5m_price:
    109240
  82. 5m_correlation_with_coin:
    0.268905
  83. btc_indicators
  84. 15m_ema100:
    111206
  85. 15m_price_ema100_diff:
    -0.017678
  86. 15m_price:
    109240
  87. 15m_correlation_with_coin:
    0.053655
  88. btc_indicators
  89. 1H_ema100:
    112578
  90. 1H_price_ema100_diff:
    -0.0296483
  91. 1H_price:
    109240
  92. 1H_correlation_with_coin:
    0.126215
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
25 Sep 2025
17:48:53
25 Sep 2025
18:10:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.004661 0.004805 0.004372 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 0.004661
  • Stop Loss: 0.004805
  • Take Profit: 0.004372

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.004805 - 0.004661 = 0.000144

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.004661 - 0.004372 = 0.000289

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.000289 / 0.000144 = 2.0069

📌 Position Size

Amount Margin Quantity Leverage
258.3142 100 55420.3385 2.58
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 0.000144

Taille de position = 8 / 0.000144 = 55555.56

Taille de position USD = 55555.56 x 0.004661 = 258.94

Donc, tu peux acheter 55555.56 avec un stoploss a 0.004805

Avec un position size USD de 258.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 55555.56 x 0.000144 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 55555.56 x 0.000289 = 16.06

Si Take Profit atteint, tu gagneras 16.06$

Résumé

  • Taille de position 55555.56
  • Taille de position USD 258.94
  • Perte potentielle 8
  • Gain potentiel 16.06
  • Risk-Reward Ratio 2.0069

📌 Peformances

TP % Target TP $ Target
6.2 % 16.02 $
SL % Target SL $ Target
3.09 % 7.98 $
PNL PNL %
-7.98 $ -3.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.5269 % 146.53 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.004372
            [entry_price] => 0.004661
            [stop_loss] => 0.0048194
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-25 18:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.004372
            [entry_price] => 0.004661
            [stop_loss] => 0.0048338
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-25 18:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.004372
            [entry_price] => 0.004661
            [stop_loss] => 0.0048482
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-25 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.004372
            [entry_price] => 0.004661
            [stop_loss] => 0.004877
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-25 19:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000294
            [max_drawdown] => 0.000211
            [rr_ratio] => 1.39
            [high] => 0.00487200
            [low] => 0.00436700
            [mfe_pct] => 6.31
            [mae_pct] => 4.53
            [mfe_mae_ratio] => 1.39
            [candles_analyzed] => 24
            [start_at] => 2025-09-25T17:48:53-04:00
            [end_at] => 2025-09-25T19:48:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000294
            [max_drawdown] => 0.000513
            [rr_ratio] => 0.57
            [high] => 0.00517400
            [low] => 0.00436700
            [mfe_pct] => 6.31
            [mae_pct] => 11.01
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 84
            [start_at] => 2025-09-25T17:48:53-04:00
            [end_at] => 2025-09-26T00:48:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00490600
            [high_after] => 0.00505300
            [low_before] => 0.00333700
            [low_after] => 0.00436700
            [is_new_high] => 
            [is_new_low] => 
        )

)