Long Trade on BERA 09 Sep 2025 at 06:15:37

Take profit at 2.4006 (0.95 %) and Stop Loss at 2.3667 (0.48 %)

Long Trade on BERA

The 09 Sep 2025 at 06:15:37

With 708.3281 BERA at 2.378$ per unit.

Position size of 1684.4042 $

Take profit at 2.4006 (0.95 %) and Stop Loss at 2.3667 (0.48 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.75
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.7
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.364534

15m : 0.019075

1H : -0.019441

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.007529467323
Details
  1. score: 2.09
  2. 1H
  3. ema9 : 2.37839
  4. ema21 : 2.35681
  5. ema50 : 2.32938
  6. ema100 : 2.31606
  7. price_ema9_diff : -0.000165399
  8. ema9_ema21_diff : 0.00915573
  9. ema21_ema50_diff : 0.0117776
  10. price_ema100_diff : 0.0267424
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.150784
  14. ema_slope_21 : 0.143007
  15. ema_slope_50 : 0.0949822
  16. ema_slope_100 : 0.0536399
  17. rsi : 0.582064
  18. adx : 0.325958
  19. kc_percentage : 0.650812
  20. kc_width_percentage : 0.0547243
  21. volume_ema_diff : -0.132914
  22. volume_ema1 : 188410.61571751
  23. volume_ema2 : 217291.83666201
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 2.39368
  28. ema21 : 2.39077
  29. ema50 : 2.37333
  30. ema100 : 2.35312
  31. price_ema9_diff : -0.0065512
  32. ema9_ema21_diff : 0.00121524
  33. ema21_ema50_diff : 0.00734811
  34. price_ema100_diff : 0.0105718
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0199589
  38. ema_slope_21 : 0.0666888
  39. ema_slope_50 : 0.0624056
  40. ema_slope_100 : 0.0479492
  41. rsi : 0.463733
  42. adx : 0.328297
  43. kc_percentage : 0.289481
  44. kc_width_percentage : 0.0267375
  45. volume_ema_diff : -0.171137
  46. volume_ema1 : 50406.667968081
  47. volume_ema2 : 60814.253472386
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 2.38575
  52. ema21 : 2.39497
  53. ema50 : 2.39379
  54. ema100 : 2.3827
  55. price_ema9_diff : -0.0032486
  56. ema9_ema21_diff : -0.00384983
  57. ema21_ema50_diff : 0.000492824
  58. price_ema100_diff : -0.00197535
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.101964
  62. ema_slope_21 : -0.0529394
  63. ema_slope_50 : -0.00777822
  64. ema_slope_100 : 0.00794136
  65. rsi : 0.340476
  66. adx : 0.251265
  67. kc_percentage : -0.0932157
  68. kc_width_percentage : 0.0117555
  69. volume_ema_diff : 0.0826525
  70. volume_ema1 : 22386.947613321
  71. volume_ema2 : 20677.86977916
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112431
  77. 5m_price_ema100_diff:
    0.00461885
  78. 5m_price:
    112951
  79. 5m_correlation_with_coin:
    0.364534
  80. btc_indicators
  81. 15m_ema100:
    112214
  82. 15m_price_ema100_diff:
    0.00656443
  83. 15m_price:
    112951
  84. 15m_correlation_with_coin:
    0.019075
  85. btc_indicators
  86. 1H_ema100:
    111728
  87. 1H_price_ema100_diff:
    0.010948
  88. 1H_price:
    112951
  89. 1H_correlation_with_coin:
    -0.019441
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
06:15:37
09 Sep 2025
06:25:00
9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.378 2.3667 2.4006 2 0.626
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 2.378
  • Stop Loss: 2.3667
  • Take Profit: 2.4006

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3667 - 2.378 = -0.0113

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.378 - 2.4006 = -0.0226

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0226 / -0.0113 = 2

📌 Position Size

Amount Margin Quantity Leverage
1684.4042 100 708.3281 16.84
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 -0.0113

Taille de position = 8 / -0.0113 = -707.96

Taille de position USD = -707.96 x 2.378 = -1683.53

Donc, tu peux acheter -707.96 avec un stoploss a 2.3667

Avec un position size USD de -1683.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -707.96 x -0.0113 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -707.96 x -0.0226 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -707.96
  • Taille de position USD -1683.53
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.95 % 16.01 $
SL % Target SL $ Target
0.48 % 8 $
PNL PNL %
-8 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8831 % 185.84 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.4006
            [entry_price] => 2.378
            [stop_loss] => 2.36557
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 06:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.4006
            [entry_price] => 2.378
            [stop_loss] => 2.36444
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 06:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.4006
            [entry_price] => 2.378
            [stop_loss] => 2.36331
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 06:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.4006
            [entry_price] => 2.378
            [stop_loss] => 2.36105
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 06:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.018
            [max_drawdown] => 0.024
            [rr_ratio] => 0.75
            [high] => 2.39600000
            [low] => 2.35400000
            [mfe_pct] => 0.76
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T06:15:37-04:00
            [end_at] => 2025-09-09T08:15:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.019
            [max_drawdown] => 0.075
            [rr_ratio] => 0.25
            [high] => 2.39700000
            [low] => 2.30300000
            [mfe_pct] => 0.8
            [mae_pct] => 3.15
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T06:15:37-04:00
            [end_at] => 2025-09-09T13:15:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.43500000
            [high_after] => 2.39700000
            [low_before] => 2.37500000
            [low_after] => 2.30600000
            [is_new_high] => 
            [is_new_low] => 
        )

)