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Short Trade on BERA

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Short Trade on BERA 30 Sep 2025 at 07:39:55

Take profit at 2.6737 (0.86 %) and Stop Loss at 2.7086 (0.43 %)

Short Trade on BERA

The 30 Sep 2025 at 07:39:55

With 687.3932 BERA at 2.697$ per unit.

Position size of 1853.8995 $

Take profit at 2.6737 (0.86 %) and Stop Loss at 2.7086 (0.43 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.05
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.41
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.489111

15m : -0.083731

1H : 0.024394

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.007758780719
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 2.70511
  4. ema21 : 2.7365
  5. ema50 : 2.74034
  6. ema100 : 2.68798
  7. price_ema9_diff : -0.00300021
  8. ema9_ema21_diff : -0.0114715
  9. ema21_ema50_diff : -0.00139959
  10. price_ema100_diff : 0.0033531
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.272748
  14. ema_slope_21 : -0.198266
  15. ema_slope_50 : -0.0589269
  16. ema_slope_100 : 0.0184557
  17. rsi : 0.407042
  18. adx : 0.251218
  19. kc_percentage : 0.227546
  20. kc_width_percentage : 0.0513341
  21. volume_ema_diff : -0.38362
  22. volume_ema1 : 295427.22738477
  23. volume_ema2 : 479294.17258211
  24. chop : 50.0798
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.67735
  28. ema21 : 2.68945
  29. ema50 : 2.71784
  30. ema100 : 2.7543
  31. price_ema9_diff : 0.00733897
  32. ema9_ema21_diff : -0.00449951
  33. ema21_ema50_diff : -0.010446
  34. price_ema100_diff : -0.0208067
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.110449
  38. ema_slope_21 : -0.102749
  39. ema_slope_50 : -0.0827957
  40. ema_slope_100 : -0.0657423
  41. rsi : 0.423206
  42. adx : 0.318576
  43. kc_percentage : 0.649168
  44. kc_width_percentage : 0.0214657
  45. volume_ema_diff : -0.299085
  46. volume_ema1 : 61747.398019213
  47. volume_ema2 : 88095.516597783
  48. chop : 45.1637
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 2.68123
  52. ema21 : 2.67811
  53. ema50 : 2.68635
  54. ema100 : 2.70178
  55. price_ema9_diff : 0.00588105
  56. ema9_ema21_diff : 0.00116532
  57. ema21_ema50_diff : -0.00306888
  58. price_ema100_diff : -0.00176929
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0519505
  62. ema_slope_21 : 0.0159843
  63. ema_slope_50 : -0.0127523
  64. ema_slope_100 : -0.0187026
  65. rsi : 0.622841
  66. adx : 0.208672
  67. kc_percentage : 1.10563
  68. kc_width_percentage : 0.0115848
  69. volume_ema_diff : 0.241537
  70. volume_ema1 : 34762.131735811
  71. volume_ema2 : 27999.25546768
  72. chop : 31.2922
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113454
  77. 5m_price_ema100_diff: 
    -0.00454839
  78. 5m_price: 
    112938
  79. 5m_correlation_with_coin: 
    0.489111
  80. btc_indicators
  81. 15m_ema100: 
    113463
  82. 15m_price_ema100_diff: 
    -0.00514184
  83. 15m_price: 
    112880
  84. 15m_correlation_with_coin: 
    -0.083731
  85. btc_indicators
  86. 1H_ema100: 
    111505
  87. 1H_price_ema100_diff: 
    0.0128479
  88. 1H_price: 
    112938
  89. 1H_correlation_with_coin: 
    0.024394
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
07:39:55		 30 Sep 2025
07:45:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.697 2.7086 2.6737 2.01 0.6019
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 2.697
  • Stop Loss: 2.7086
  • Take Profit: 2.6737

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7086 - 2.697 = 0.0116

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.697 - 2.6737 = 0.0233

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0233 / 0.0116 = 2.0086

📌 Position Size

Amount Margin Quantity Leverage
1853.8995 100 687.3932 18.54
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 0.0116

Taille de position = 8 / 0.0116 = 689.66

Taille de position USD = 689.66 x 2.697 = 1860.01

Donc, tu peux acheter 689.66 avec un stoploss a 2.7086

Avec un position size USD de 1860.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 689.66 x 0.0116 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 689.66 x 0.0233 = 16.07

Si Take Profit atteint, tu gagneras 16.07$

Résumé

  • Taille de position 689.66
  • Taille de position USD 1860.01
  • Perte potentielle 8
  • Gain potentiel 16.07
  • Risk-Reward Ratio 2.0086

📌 Peformances

TP % Target TP $ Target
0.86 % 16.02 $
SL % Target SL $ Target
0.43 % 7.97 $
PNL PNL %
-7.97 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6674 % 155.17 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6737
            [entry_price] => 2.697
            [stop_loss] => 2.70976
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 07:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6737
            [entry_price] => 2.697
            [stop_loss] => 2.71092
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6737
            [entry_price] => 2.697
            [stop_loss] => 2.71208
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6737
            [entry_price] => 2.697
            [stop_loss] => 2.7144
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 07:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0020000000000002
            [max_drawdown] => 0.046
            [rr_ratio] => 0.04
            [high] => 2.74300000
            [low] => 2.69500000
            [mfe_pct] => 0.07
            [mae_pct] => 1.71
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T07:39:55-04:00
            [end_at] => 2025-09-30T09:39:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.081
            [max_drawdown] => 0.048
            [rr_ratio] => 1.69
            [high] => 2.74500000
            [low] => 2.61600000
            [mfe_pct] => 3
            [mae_pct] => 1.78
            [mfe_mae_ratio] => 1.69
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T07:39:55-04:00
            [end_at] => 2025-09-30T14:39:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.72000000
            [high_after] => 2.74500000
            [low_before] => 2.64900000
            [low_after] => 2.61600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)