Short Trade on BERA 11 Oct 2025 at 23:26:53

Take profit at 1.7686 (1.8 %) and Stop Loss at 1.8172 (0.9 %)

Short Trade on BERA

The 11 Oct 2025 at 23:26:53

With 493.7912 BERA at 1.801$ per unit.

Position size of 889.318 $

Take profit at 1.7686 (1.8 %) and Stop Loss at 1.8172 (0.9 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.17
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.6
Prediction 3 Probability
0 0.93
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.674735

15m : 0.162028

1H : -0.120354

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.01080078624
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 1.77189
  4. ema21 : 1.82636
  5. ema50 : 2.0538
  6. ema100 : 2.26809
  7. price_ema9_diff : 0.0164263
  8. ema9_ema21_diff : -0.029825
  9. ema21_ema50_diff : -0.11074
  10. price_ema100_diff : -0.205941
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.197868
  14. ema_slope_21 : -0.546049
  15. ema_slope_50 : -0.661306
  16. ema_slope_100 : -0.471448
  17. rsi : 0.41093
  18. adx : 0.554374
  19. kc_percentage : 0.418894
  20. kc_width_percentage : 0.123782
  21. volume_ema_diff : -0.773987
  22. volume_ema1 : 125256.32645095
  23. volume_ema2 : 554199.9995112
  24. chop : 67.4055
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 1.773
  29. ema21 : 1.76702
  30. ema50 : 1.77149
  31. ema100 : 1.79047
  32. price_ema9_diff : 0.0157889
  33. ema9_ema21_diff : 0.00338311
  34. ema21_ema50_diff : -0.00252081
  35. price_ema100_diff : 0.00587808
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.040013
  39. ema_slope_21 : 0.0389175
  40. ema_slope_50 : -0.00472494
  41. ema_slope_100 : -0.0263439
  42. rsi : 0.576778
  43. adx : 0.16956
  44. kc_percentage : 0.935692
  45. kc_width_percentage : 0.0429827
  46. volume_ema_diff : -0.477156
  47. volume_ema1 : 27922.636848887
  48. volume_ema2 : 53405.353827365
  49. chop : 70.8364
  50. regime : range_high
  51. ¸
  52. 5m
  53. ema9 : 1.78626
  54. ema21 : 1.77676
  55. ema50 : 1.76895
  56. ema100 : 1.76208
  57. price_ema9_diff : 0.00824984
  58. ema9_ema21_diff : 0.00534771
  59. ema21_ema50_diff : 0.00441553
  60. price_ema100_diff : 0.0220829
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0930616
  64. ema_slope_21 : 0.0497276
  65. ema_slope_50 : 0.0288541
  66. ema_slope_100 : 0.020254
  67. rsi : 0.645395
  68. adx : 0.224775
  69. kc_percentage : 1.03902
  70. kc_width_percentage : 0.024514
  71. volume_ema_diff : 0.214208
  72. volume_ema1 : 14208.96211571
  73. volume_ema2 : 11702.239127573
  74. chop : 37.1163
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    110512
  80. 5m_price_ema100_diff:
    0.00261856
  81. 5m_price:
    110802
  82. 5m_correlation_with_coin:
    0.674735
  83. btc_indicators
  84. 15m_ema100:
    111354
  85. 15m_price_ema100_diff:
    -0.00713774
  86. 15m_price:
    110559
  87. 15m_correlation_with_coin:
    0.162028
  88. btc_indicators
  89. 1H_ema100:
    116742
  90. 1H_price_ema100_diff:
    -0.0508869
  91. 1H_price:
    110802
  92. 1H_correlation_with_coin:
    -0.120354
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
23:26:53
11 Oct 2025
23:30:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.801 1.8172 1.7686 2 0.6127
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 1.801
  • Stop Loss: 1.8172
  • Take Profit: 1.7686

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.8172 - 1.801 = 0.0162

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.801 - 1.7686 = 0.0324

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0324 / 0.0162 = 2

📌 Position Size

Amount Margin Quantity Leverage
889.318 100 493.7912 8.89
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 0.0162

Taille de position = 8 / 0.0162 = 493.83

Taille de position USD = 493.83 x 1.801 = 889.39

Donc, tu peux acheter 493.83 avec un stoploss a 1.8172

Avec un position size USD de 889.39$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 493.83 x 0.0162 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 493.83 x 0.0324 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 493.83
  • Taille de position USD 889.39
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.8 % 16 $
SL % Target SL $ Target
0.9 % 8 $
PNL PNL %
-8 $ -0.90
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9439 % 104.94 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.7686
            [entry_price] => 1.801
            [stop_loss] => 1.81882
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 23:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.7686
            [entry_price] => 1.801
            [stop_loss] => 1.82044
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 23:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.7686
            [entry_price] => 1.801
            [stop_loss] => 1.82206
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 23:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.7686
            [entry_price] => 1.801
            [stop_loss] => 1.8253
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 23:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.036
            [rr_ratio] => 0.17
            [high] => 1.83700000
            [low] => 1.79500000
            [mfe_pct] => 0.33
            [mae_pct] => 2
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T23:26:53-04:00
            [end_at] => 2025-10-12T01:26:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.006
            [max_drawdown] => 0.12
            [rr_ratio] => 0.05
            [high] => 1.92100000
            [low] => 1.79500000
            [mfe_pct] => 0.33
            [mae_pct] => 6.66
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T23:26:53-04:00
            [end_at] => 2025-10-12T06:26:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.80600000
            [high_after] => 1.92100000
            [low_before] => 1.75100000
            [low_after] => 1.79500000
            [is_new_high] => 
            [is_new_low] => 
        )

)