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Long Trade on BERA

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Long Trade on BERA 29 Sep 2025 at 07:13:09

Take profit at 2.8928 (1.75 %) and Stop Loss at 2.8181 (0.88 %)

Long Trade on BERA

The 29 Sep 2025 at 07:13:09

With 321.3149 BERA at 2.843$ per unit.

Position size of 913.4983 $

Take profit at 2.8928 (1.75 %) and Stop Loss at 2.8181 (0.88 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.62
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_high

5m_regime : bear_medium
BTC Correlation Score

5m : 0.347053

15m : 0.11058

1H : 0.069987

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0165984622
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 2.87295
  4. ema21 : 2.83226
  5. ema50 : 2.74652
  6. ema100 : 2.67433
  7. price_ema9_diff : -0.010428
  8. ema9_ema21_diff : 0.0143675
  9. ema21_ema50_diff : 0.0312201
  10. price_ema100_diff : 0.0630678
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.195362
  14. ema_slope_21 : 0.316774
  15. ema_slope_50 : 0.260898
  16. ema_slope_100 : 0.179463
  17. rsi : 0.547589
  18. adx : 0.398766
  19. kc_percentage : 0.530321
  20. kc_width_percentage : 0.0794157
  21. volume_ema_diff : -0.251403
  22. volume_ema1 : 489309.65754748
  23. volume_ema2 : 653636.47586887
  24. chop : 65.6227
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 2.88045
  28. ema21 : 2.88409
  29. ema50 : 2.8662
  30. ema100 : 2.80772
  31. price_ema9_diff : -0.0130044
  32. ema9_ema21_diff : -0.00126067
  33. ema21_ema50_diff : 0.006241
  34. price_ema100_diff : 0.0125639
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0100178
  38. ema_slope_21 : 0.00401894
  39. ema_slope_50 : 0.0361258
  40. ema_slope_100 : 0.0641147
  41. rsi : 0.380343
  42. adx : 0.204565
  43. kc_percentage : 0.144868
  44. kc_width_percentage : 0.0407091
  45. volume_ema_diff : 0.219719
  46. volume_ema1 : 225874.92938196
  47. volume_ema2 : 185185.89707911
  48. chop : 53.9031
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 2.86793
  52. ema21 : 2.88062
  53. ema50 : 2.88565
  54. ema100 : 2.88579
  55. price_ema9_diff : -0.00869428
  56. ema9_ema21_diff : -0.00440666
  57. ema21_ema50_diff : -0.00174284
  58. price_ema100_diff : -0.0148285
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0861611
  62. ema_slope_21 : -0.0464631
  63. ema_slope_50 : -0.0167934
  64. ema_slope_100 : -0.00665891
  65. rsi : 0.352584
  66. adx : 0.144127
  67. kc_percentage : -0.0300643
  68. kc_width_percentage : 0.0246075
  69. volume_ema_diff : 0.696235
  70. volume_ema1 : 90604.004881365
  71. volume_ema2 : 53414.75695674
  72. chop : 33.2498
  73. regime : bear_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111879
  77. 5m_price_ema100_diff: 
    9.41008E-5
  78. 5m_price: 
    111890
  79. 5m_correlation_with_coin: 
    0.347053
  80. btc_indicators
  81. 15m_ema100: 
    111149
  82. 15m_price_ema100_diff: 
    0.00665985
  83. 15m_price: 
    111890
  84. 15m_correlation_with_coin: 
    0.11058
  85. btc_indicators
  86. 1H_ema100: 
    110454
  87. 1H_price_ema100_diff: 
    0.0129968
  88. 1H_price: 
    111890
  89. 1H_correlation_with_coin: 
    0.069987
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Sep 2025
07:13:09		 29 Sep 2025
07:40:00		 26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.843 2.8181 2.8928 2 0.6334
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 2.843
  • Stop Loss: 2.8181
  • Take Profit: 2.8928

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8181 - 2.843 = -0.0249

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.843 - 2.8928 = -0.0498

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0498 / -0.0249 = 2

📌 Position Size

Amount Margin Quantity Leverage
913.4983 100 321.3149 9.13
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 -0.0249

Taille de position = 8 / -0.0249 = -321.29

Taille de position USD = -321.29 x 2.843 = -913.43

Donc, tu peux acheter -321.29 avec un stoploss a 2.8181

Avec un position size USD de -913.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -321.29 x -0.0249 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -321.29 x -0.0498 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -321.29
  • Taille de position USD -913.43
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.75 % 16 $
SL % Target SL $ Target
0.88 % 8 $
PNL PNL %
-8 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4421 % 164.66 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.8928
            [entry_price] => 2.843
            [stop_loss] => 2.81561
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-29 07:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.8928
            [entry_price] => 2.843
            [stop_loss] => 2.81312
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-29 07:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.8928
            [entry_price] => 2.843
            [stop_loss] => 2.81063
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-29 07:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.8928
            [entry_price] => 2.843
            [stop_loss] => 2.80565
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-29 07:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.01
            [max_drawdown] => 0.093
            [rr_ratio] => 0.11
            [high] => 2.85300000
            [low] => 2.75000000
            [mfe_pct] => 0.35
            [mae_pct] => 3.27
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-29T07:13:09-04:00
            [end_at] => 2025-09-29T09:13:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01
            [max_drawdown] => 0.094
            [rr_ratio] => 0.11
            [high] => 2.85300000
            [low] => 2.74900000
            [mfe_pct] => 0.35
            [mae_pct] => 3.31
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 84
            [start_at] => 2025-09-29T07:13:09-04:00
            [end_at] => 2025-09-29T14:13:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.92100000
            [high_after] => 2.85300000
            [low_before] => 2.82900000
            [low_after] => 2.74900000
            [is_new_high] => 
            [is_new_low] => 
        )

)