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Short Trade on BERA

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Short Trade on BERA 30 Sep 2025 at 08:20:54

Take profit at 2.696 (0.99 %) and Stop Loss at 2.7365 (0.5 %)

Short Trade on BERA

The 30 Sep 2025 at 08:20:54

With 593.3903 BERA at 2.723$ per unit.

Position size of 1615.8017 $

Take profit at 2.696 (0.99 %) and Stop Loss at 2.7365 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.04
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
1 0.43
Prediction 3 Probability
0 0.67
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : -0.107505

15m : 0.109186

1H : -0.068274

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.008987901493
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 2.71189
  4. ema21 : 2.73693
  5. ema50 : 2.73986
  6. ema100 : 2.685
  7. price_ema9_diff : 0.00409575
  8. ema9_ema21_diff : -0.0091482
  9. ema21_ema50_diff : -0.00107191
  10. price_ema100_diff : 0.0141494
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.215604
  14. ema_slope_21 : -0.178423
  15. ema_slope_50 : -0.0545414
  16. ema_slope_100 : 0.0221371
  17. rsi : 0.459598
  18. adx : 0.240766
  19. kc_percentage : 0.413924
  20. kc_width_percentage : 0.0525906
  21. volume_ema_diff : -0.423904
  22. volume_ema1 : 274611.11507984
  23. volume_ema2 : 476676.7430489
  24. chop : 50.7769
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 2.69813
  28. ema21 : 2.69738
  29. ema50 : 2.7169
  30. ema100 : 2.74181
  31. price_ema9_diff : 0.00921566
  32. ema9_ema21_diff : 0.000279527
  33. ema21_ema50_diff : -0.0071874
  34. price_ema100_diff : -0.00686051
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00212094
  38. ema_slope_21 : -0.0468347
  39. ema_slope_50 : -0.0570471
  40. ema_slope_100 : -0.0464394
  41. rsi : 0.568585
  42. adx : 0.27065
  43. kc_percentage : 0.89795
  44. kc_width_percentage : 0.0240836
  45. volume_ema_diff : -0.163591
  46. volume_ema1 : 75773.964437248
  47. volume_ema2 : 90594.429532874
  48. chop : 41.3042
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 2.71114
  52. ema21 : 2.69918
  53. ema50 : 2.69435
  54. ema100 : 2.70054
  55. price_ema9_diff : 0.00437175
  56. ema9_ema21_diff : 0.00443191
  57. ema21_ema50_diff : 0.00179145
  58. price_ema100_diff : 0.00831622
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.109406
  62. ema_slope_21 : 0.0736973
  63. ema_slope_50 : 0.0266577
  64. ema_slope_100 : 0.00586109
  65. rsi : 0.656426
  66. adx : 0.257494
  67. kc_percentage : 1.12019
  68. kc_width_percentage : 0.0137086
  69. volume_ema_diff : -0.364918
  70. volume_ema1 : 17997.173231924
  71. volume_ema2 : 28338.355654558
  72. chop : 30.1948
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113392
  77. 5m_price_ema100_diff: 
    -0.00337216
  78. 5m_price: 
    113010
  79. 5m_correlation_with_coin: 
    -0.107505
  80. btc_indicators
  81. 15m_ema100: 
    113439
  82. 15m_price_ema100_diff: 
    -0.0037859
  83. 15m_price: 
    113010
  84. 15m_correlation_with_coin: 
    0.109186
  85. btc_indicators
  86. 1H_ema100: 
    111538
  87. 1H_price_ema100_diff: 
    0.0131943
  88. 1H_price: 
    113010
  89. 1H_correlation_with_coin: 
    -0.068274
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
08:20:54		 30 Sep 2025
08:25:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.723 2.7365 2.696 2 0.6173
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 2.723
  • Stop Loss: 2.7365
  • Take Profit: 2.696

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7365 - 2.723 = 0.0135

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.723 - 2.696 = 0.027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.027 / 0.0135 = 2

📌 Position Size

Amount Margin Quantity Leverage
1615.8017 100 593.3903 16.16
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 0.0135

Taille de position = 8 / 0.0135 = 592.59

Taille de position USD = 592.59 x 2.723 = 1613.62

Donc, tu peux acheter 592.59 avec un stoploss a 2.7365

Avec un position size USD de 1613.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 592.59 x 0.0135 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 592.59 x 0.027 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 592.59
  • Taille de position USD 1613.62
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.99 % 16.02 $
SL % Target SL $ Target
0.5 % 8.01 $
PNL PNL %
-8.01 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7345 % 148.14 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.696
            [entry_price] => 2.723
            [stop_loss] => 2.73785
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 08:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.696
            [entry_price] => 2.723
            [stop_loss] => 2.7392
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 08:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.696
            [entry_price] => 2.723
            [stop_loss] => 2.74055
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 08:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.696
            [entry_price] => 2.723
            [stop_loss] => 2.74325
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 09:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.022
            [rr_ratio] => 1.41
            [high] => 2.74500000
            [low] => 2.69200000
            [mfe_pct] => 1.14
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 1.41
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T08:20:54-04:00
            [end_at] => 2025-09-30T10:20:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.107
            [max_drawdown] => 0.022
            [rr_ratio] => 4.86
            [high] => 2.74500000
            [low] => 2.61600000
            [mfe_pct] => 3.93
            [mae_pct] => 0.81
            [mfe_mae_ratio] => 4.86
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T08:20:54-04:00
            [end_at] => 2025-09-30T15:20:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.73900000
            [high_after] => 2.74500000
            [low_before] => 2.64900000
            [low_after] => 2.61600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)