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Short Trade on BERA

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Short Trade on BERA 15 Sep 2025 at 18:05:15

Take profit at 2.2668 (0.62 %) and Stop Loss at 2.2881 (0.31 %)

Short Trade on BERA

The 15 Sep 2025 at 18:05:15

With 1130.1769 BERA at 2.281$ per unit.

Position size of 2577.9335 $

Take profit at 2.2668 (0.62 %) and Stop Loss at 2.2881 (0.31 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.87
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
0 0.86
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.659382

15m : -0.082579

1H : -0.063994

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.004719025342
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 2.28021
  4. ema21 : 2.31356
  5. ema50 : 2.35848
  6. ema100 : 2.36301
  7. price_ema9_diff : 0.000344313
  8. ema9_ema21_diff : -0.0144144
  9. ema21_ema50_diff : -0.0190452
  10. price_ema100_diff : -0.0347078
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.271074
  14. ema_slope_21 : -0.26747
  15. ema_slope_50 : -0.167522
  16. ema_slope_100 : -0.0778122
  17. rsi : 0.387886
  18. adx : 0.387808
  19. kc_percentage : 0.244456
  20. kc_width_percentage : 0.0512911
  21. volume_ema_diff : -0.523734
  22. volume_ema1 : 114897.50095598
  23. volume_ema2 : 241246.63060463
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.26988
  27. ema21 : 2.26996
  28. ema50 : 2.29073
  29. ema100 : 2.32469
  30. price_ema9_diff : 0.00489865
  31. ema9_ema21_diff : -3.51126E-5
  32. ema21_ema50_diff : -0.00906856
  33. price_ema100_diff : -0.0187967
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0222449
  37. ema_slope_21 : -0.0209927
  38. ema_slope_50 : -0.0551318
  39. ema_slope_100 : -0.0571459
  40. rsi : 0.543058
  41. adx : 0.192744
  42. kc_percentage : 0.751194
  43. kc_width_percentage : 0.0199631
  44. volume_ema_diff : -0.657984
  45. volume_ema1 : 18227.219453718
  46. volume_ema2 : 53293.565162807
  47. regime : bear_medium
    48. ¸
  48. 5m
  49. ema9 : 2.27539
  50. ema21 : 2.26963
  51. ema50 : 2.26787
  52. ema100 : 2.27648
  53. price_ema9_diff : 0.00246318
  54. ema9_ema21_diff : 0.00253614
  55. ema21_ema50_diff : 0.000780011
  56. price_ema100_diff : 0.00198415
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0574459
  60. ema_slope_21 : 0.0340697
  61. ema_slope_50 : 0.0107495
  62. ema_slope_100 : -0.00434874
  63. rsi : 0.662411
  64. adx : 0.169981
  65. kc_percentage : 1.13163
  66. kc_width_percentage : 0.00767841
  67. volume_ema_diff : -0.766034
  68. volume_ema1 : 2871.6718487586
  69. volume_ema2 : 12273.922240164
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115078
  74. 5m_price_ema100_diff: 
    0.0036569
  75. 5m_price: 
    115499
  76. 5m_correlation_with_coin: 
    0.659382
  77. btc_indicators
  78. 15m_ema100: 
    115244
  79. 15m_price_ema100_diff: 
    0.00221103
  80. 15m_price: 
    115499
  81. 15m_correlation_with_coin: 
    -0.082579
  82. btc_indicators
  83. 1H_ema100: 
    115301
  84. 1H_price_ema100_diff: 
    0.00172142
  85. 1H_price: 
    115499
  86. 1H_correlation_with_coin: 
    -0.063994
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
18:05:15		 15 Sep 2025
18:15:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.281 2.2881 2.2668 2 0.6008
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 2.281
  • Stop Loss: 2.2881
  • Take Profit: 2.2668

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2881 - 2.281 = 0.0070999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.281 - 2.2668 = 0.0142

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0142 / 0.0070999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
2577.9335 100 1130.1769 25.78
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 0.0070999999999999

Taille de position = 8 / 0.0070999999999999 = 1126.76

Taille de position USD = 1126.76 x 2.281 = 2570.14

Donc, tu peux acheter 1126.76 avec un stoploss a 2.2881

Avec un position size USD de 2570.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1126.76 x 0.0070999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1126.76 x 0.0142 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1126.76
  • Taille de position USD 2570.14
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.62 % 16.05 $
SL % Target SL $ Target
0.31 % 8.02 $
PNL PNL %
-8.02 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4822 % 154.9 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2668
            [entry_price] => 2.281
            [stop_loss] => 2.28881
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2668
            [entry_price] => 2.281
            [stop_loss] => 2.28952
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2668
            [entry_price] => 2.281
            [stop_loss] => 2.29023
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2668
            [entry_price] => 2.281
            [stop_loss] => 2.29165
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0070000000000001
            [max_drawdown] => 0.022
            [rr_ratio] => 0.32
            [high] => 2.30300000
            [low] => 2.27400000
            [mfe_pct] => 0.31
            [mae_pct] => 0.96
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T18:05:15-04:00
            [end_at] => 2025-09-15T20:05:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.039
            [max_drawdown] => 0.038
            [rr_ratio] => 1.03
            [high] => 2.31900000
            [low] => 2.24200000
            [mfe_pct] => 1.71
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 1.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T18:05:15-04:00
            [end_at] => 2025-09-16T01:05:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.28300000
            [high_after] => 2.31900000
            [low_before] => 2.24800000
            [low_after] => 2.24200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)