Short Trade on BERA 15 Sep 2025 at 17:44:35

Take profit at 2.2591 (0.7 %) and Stop Loss at 2.283 (0.35 %)

Short Trade on BERA

The 15 Sep 2025 at 17:44:35

With 1003.8578 BERA at 2.275$ per unit.

Position size of 2283.7765 $

Take profit at 2.2591 (0.7 %) and Stop Loss at 2.283 (0.35 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.48
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.82
BTC Market Regime Coin Market Regime

ml_regime : range

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 : 0.678736

15m : -0.272788

1H : 0.284651

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00531283756
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 2.27941
  4. ema21 : 2.31654
  5. ema50 : 2.36146
  6. ema100 : 2.36419
  7. price_ema9_diff : -0.00193848
  8. ema9_ema21_diff : -0.0160274
  9. ema21_ema50_diff : -0.019023
  10. price_ema100_diff : -0.0377288
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.310382
  14. ema_slope_21 : -0.282759
  15. ema_slope_50 : -0.169721
  16. ema_slope_100 : -0.0768407
  17. rsi : 0.371765
  18. adx : 0.390501
  19. kc_percentage : 0.188533
  20. kc_width_percentage : 0.0546983
  21. volume_ema_diff : -0.33365
  22. volume_ema1 : 167982.21003001
  23. volume_ema2 : 252093.22895314
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.26257
  28. ema21 : 2.26712
  29. ema50 : 2.29111
  30. ema100 : 2.32495
  31. price_ema9_diff : 0.00549109
  32. ema9_ema21_diff : -0.0020056
  33. ema21_ema50_diff : -0.0104722
  34. price_ema100_diff : -0.021486
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0086746
  38. ema_slope_21 : -0.0418863
  39. ema_slope_50 : -0.0657457
  40. ema_slope_100 : -0.0612614
  41. rsi : 0.475576
  42. adx : 0.197685
  43. kc_percentage : 0.681601
  44. kc_width_percentage : 0.0206104
  45. volume_ema_diff : -0.498313
  46. volume_ema1 : 28425.23242738
  47. volume_ema2 : 56659.408277324
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 2.26656
  52. ema21 : 2.26367
  53. ema50 : 2.26499
  54. ema100 : 2.27384
  55. price_ema9_diff : 0.00372066
  56. ema9_ema21_diff : 0.0012795
  57. ema21_ema50_diff : -0.000585105
  58. price_ema100_diff : 0.000509363
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0281711
  62. ema_slope_21 : 0.011709
  63. ema_slope_50 : -0.00162537
  64. ema_slope_100 : -0.00980318
  65. rsi : 0.623553
  66. adx : 0.100063
  67. kc_percentage : 1.05459
  68. kc_width_percentage : 0.00889612
  69. volume_ema_diff : -0.390685
  70. volume_ema1 : 8752.2443450607
  71. volume_ema2 : 14364.089865614
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115058
  77. 5m_price_ema100_diff:
    0.00318509
  78. 5m_price:
    115424
  79. 5m_correlation_with_coin:
    0.678736
  80. btc_indicators
  81. 15m_ema100:
    115219
  82. 15m_price_ema100_diff:
    0.00098607
  83. 15m_price:
    115332
  84. 15m_correlation_with_coin:
    -0.272788
  85. btc_indicators
  86. 1H_ema100:
    115280
  87. 1H_price_ema100_diff:
    0.00125095
  88. 1H_price:
    115424
  89. 1H_correlation_with_coin:
    0.284651
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:44:35
15 Sep 2025
18:00:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.275 2.283 2.2591 1.99 0.6299
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 2.275
  • Stop Loss: 2.283
  • Take Profit: 2.2591

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.283 - 2.275 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.275 - 2.2591 = 0.0159

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0159 / 0.008 = 1.9875

📌 Position Size

Amount Margin Quantity Leverage
2283.7765 100 1003.8578 22.84
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 2.275 = 2275

Donc, tu peux acheter 1000 avec un stoploss a 2.283

Avec un position size USD de 2275$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.0159 = 15.9

Si Take Profit atteint, tu gagneras 15.9$

Résumé

  • Taille de position 1000
  • Taille de position USD 2275
  • Perte potentielle 8
  • Gain potentiel 15.9
  • Risk-Reward Ratio 1.9875

📌 Peformances

TP % Target TP $ Target
0.7 % 15.96 $
SL % Target SL $ Target
0.35 % 8.03 $
PNL PNL %
-8.03 $ -0.35
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3516 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2591
            [entry_price] => 2.275
            [stop_loss] => 2.2838
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 18:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2591
            [entry_price] => 2.275
            [stop_loss] => 2.2846
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 18:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2591
            [entry_price] => 2.275
            [stop_loss] => 2.2854
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2591
            [entry_price] => 2.275
            [stop_loss] => 2.287
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 18:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00099999999999989
            [max_drawdown] => 0.027
            [rr_ratio] => 0.04
            [high] => 2.30200000
            [low] => 2.27400000
            [mfe_pct] => 0.04
            [mae_pct] => 1.19
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:44:35-04:00
            [end_at] => 2025-09-15T19:44:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.033
            [max_drawdown] => 0.044
            [rr_ratio] => 0.75
            [high] => 2.31900000
            [low] => 2.24200000
            [mfe_pct] => 1.45
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:44:35-04:00
            [end_at] => 2025-09-16T00:44:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.27800000
            [high_after] => 2.31900000
            [low_before] => 2.24800000
            [low_after] => 2.24200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)