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Short Trade on BERA

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Short Trade on BERA 11 Sep 2025 at 19:08:26

Take profit at 2.2768 (0.58 %) and Stop Loss at 2.2966 (0.29 %)

Short Trade on BERA

The 11 Sep 2025 at 19:08:26

With 1212.8026 BERA at 2.29$ per unit.

Position size of 2777.318 $

Take profit at 2.2768 (0.58 %) and Stop Loss at 2.2966 (0.29 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.38
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.69
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : bull_low_exhausted

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low_confirmed
BTC Correlation Score

5m : 0.451148

15m : -0.068173

1H : -0.123263

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.004397527903
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 2.27929
  4. ema21 : 2.30252
  5. ema50 : 2.32637
  6. ema100 : 2.32573
  7. price_ema9_diff : 0.00469783
  8. ema9_ema21_diff : -0.0100888
  9. ema21_ema50_diff : -0.0102534
  10. price_ema100_diff : -0.0153641
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.314366
  14. ema_slope_21 : -0.244967
  15. ema_slope_50 : -0.124116
  16. ema_slope_100 : -0.0545933
  17. rsi : 0.41858
  18. adx : 0.353637
  19. kc_percentage : 0.365827
  20. kc_width_percentage : 0.0351314
  21. volume_ema_diff : -0.185712
  22. volume_ema1 : 187053.31804314
  23. volume_ema2 : 229713.99354702
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.27823
  27. ema21 : 2.27161
  28. ema50 : 2.28504
  29. ema100 : 2.31267
  30. price_ema9_diff : 0.00516521
  31. ema9_ema21_diff : 0.00291349
  32. ema21_ema50_diff : -0.00587815
  33. price_ema100_diff : -0.00980588
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0838386
  37. ema_slope_21 : 0.0348799
  38. ema_slope_50 : -0.0245888
  39. ema_slope_100 : -0.0382819
  40. rsi : 0.658653
  41. adx : 0.29635
  42. kc_percentage : 1.065
  43. kc_width_percentage : 0.0141417
  44. volume_ema_diff : -0.244981
  45. volume_ema1 : 51501.134368291
  46. volume_ema2 : 68211.740175923
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 2.28502
  50. ema21 : 2.27959
  51. ema50 : 2.27106
  52. ema100 : 2.26592
  53. price_ema9_diff : 0.00217821
  54. ema9_ema21_diff : 0.00238042
  55. ema21_ema50_diff : 0.00375488
  56. price_ema100_diff : 0.0106256
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.04401
  60. ema_slope_21 : 0.0414115
  61. ema_slope_50 : 0.0300922
  62. ema_slope_100 : 0.0181986
  63. rsi : 0.719119
  64. adx : 0.431645
  65. kc_percentage : 1.07665
  66. kc_width_percentage : 0.00755839
  67. volume_ema_diff : -0.0531198
  68. volume_ema1 : 18840.713530457
  69. volume_ema2 : 19897.675482128
  70. regime : bull_low_confirmed
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114484
  74. 5m_price_ema100_diff: 
    0.00614363
  75. 5m_price: 
    115187
  76. 5m_correlation_with_coin: 
    0.451148
  77. btc_indicators
  78. 15m_ema100: 
    114214
  79. 15m_price_ema100_diff: 
    0.00851616
  80. 15m_price: 
    115187
  81. 15m_correlation_with_coin: 
    -0.068173
  82. btc_indicators
  83. 1H_ema100: 
    112925
  84. 1H_price_ema100_diff: 
    0.0200289
  85. 1H_price: 
    115187
  86. 1H_correlation_with_coin: 
    -0.123263
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
19:08:26		 11 Sep 2025
19:10:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.29 2.2966 2.2768 2 0.6076
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 2.29
  • Stop Loss: 2.2966
  • Take Profit: 2.2768

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.2966 - 2.29 = 0.0066000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.29 - 2.2768 = 0.0132

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0132 / 0.0066000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
2777.318 100 1212.8026 27.77
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 0.0066000000000002

Taille de position = 8 / 0.0066000000000002 = 1212.12

Taille de position USD = 1212.12 x 2.29 = 2775.75

Donc, tu peux acheter 1212.12 avec un stoploss a 2.2966

Avec un position size USD de 2775.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1212.12 x 0.0066000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1212.12 x 0.0132 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 1212.12
  • Taille de position USD 2775.75
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.58 % 16.01 $
SL % Target SL $ Target
0.29 % 8 $
PNL PNL %
-8 $ -0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3493 % 121.2 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2768
            [entry_price] => 2.29
            [stop_loss] => 2.29726
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 19:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2768
            [entry_price] => 2.29
            [stop_loss] => 2.29792
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 19:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2768
            [entry_price] => 2.29
            [stop_loss] => 2.29858
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 20:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2768
            [entry_price] => 2.29
            [stop_loss] => 2.2999
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.044
            [rr_ratio] => 0.3
            [high] => 2.33400000
            [low] => 2.27700000
            [mfe_pct] => 0.57
            [mae_pct] => 1.92
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T19:08:26-04:00
            [end_at] => 2025-09-11T21:08:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.013
            [max_drawdown] => 0.056
            [rr_ratio] => 0.23
            [high] => 2.34600000
            [low] => 2.27700000
            [mfe_pct] => 0.57
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T19:08:26-04:00
            [end_at] => 2025-09-12T02:08:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.29200000
            [high_after] => 2.33400000
            [low_before] => 2.24700000
            [low_after] => 2.27700000
            [is_new_high] => 
            [is_new_low] => 
        )

)