Short Trade on BERA 30 Sep 2025 at 07:58:26

Take profit at 2.6937 (0.86 %) and Stop Loss at 2.7287 (0.43 %)

Short Trade on BERA

The 30 Sep 2025 at 07:58:26

With 685.7681 BERA at 2.717$ per unit.

Position size of 1863.232 $

Take profit at 2.6937 (0.86 %) and Stop Loss at 2.7287 (0.43 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.65
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.5
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : bear_medium

5m_regime : bull_low

BTC Correlation Score

5m : 0.49989

15m : 0.113275

1H : 0.055783

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.007777167041
Details
  1. score: 1.37
  2. 1H
  3. ema9 : 2.70911
  4. ema21 : 2.73832
  5. ema50 : 2.74112
  6. ema100 : 2.68838
  7. price_ema9_diff : 0.0029102
  8. ema9_ema21_diff : -0.0106672
  9. ema21_ema50_diff : -0.00102202
  10. price_ema100_diff : 0.0106447
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.260829
  14. ema_slope_21 : -0.192861
  15. ema_slope_50 : -0.0565586
  16. ema_slope_100 : 0.0196862
  17. rsi : 0.447617
  18. adx : 0.242055
  19. kc_percentage : 0.367796
  20. kc_width_percentage : 0.0546368
  21. volume_ema_diff : -0.30584
  22. volume_ema1 : 336021.79232145
  23. volume_ema2 : 484070.00375113
  24. chop : 50.1953
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 2.68816
  29. ema21 : 2.69349
  30. ema50 : 2.71776
  31. ema100 : 2.74838
  32. price_ema9_diff : 0.0107282
  33. ema9_ema21_diff : -0.00197884
  34. ema21_ema50_diff : -0.00893318
  35. price_ema100_diff : -0.0114205
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.06548
  39. ema_slope_21 : -0.0823663
  40. ema_slope_50 : -0.0733383
  41. ema_slope_100 : -0.0576336
  42. rsi : 0.55773
  43. adx : 0.290184
  44. kc_percentage : 0.881364
  45. kc_width_percentage : 0.023461
  46. volume_ema_diff : -0.121334
  47. volume_ema1 : 78941.090113171
  48. volume_ema2 : 89842.018843488
  49. chop : 44.0461
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 2.70072
  54. ema21 : 2.68934
  55. ema50 : 2.69041
  56. ema100 : 2.70331
  57. price_ema9_diff : 0.00602667
  58. ema9_ema21_diff : 0.00423028
  59. ema21_ema50_diff : -0.000398359
  60. price_ema100_diff : 0.00506119
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0879143
  64. ema_slope_21 : 0.0468329
  65. ema_slope_50 : 0.00565923
  66. ema_slope_100 : -0.00919644
  67. rsi : 0.697035
  68. adx : 0.276661
  69. kc_percentage : 1.37318
  70. kc_width_percentage : 0.0114686
  71. volume_ema_diff : -0.0218215
  72. volume_ema1 : 27655.029688711
  73. volume_ema2 : 28271.968536007
  74. chop : 29.7379
  75. regime : bull_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    113437
  80. 5m_price_ema100_diff:
    -0.00356565
  81. 5m_price:
    113032
  82. 5m_correlation_with_coin:
    0.49989
  83. btc_indicators
  84. 15m_ema100:
    113434
  85. 15m_price_ema100_diff:
    -0.00331685
  86. 15m_price:
    113057
  87. 15m_correlation_with_coin:
    0.113275
  88. btc_indicators
  89. 1H_ema100:
    111507
  90. 1H_price_ema100_diff:
    0.0136775
  91. 1H_price:
    113032
  92. 1H_correlation_with_coin:
    0.055783
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 Sep 2025
07:58:26
30 Sep 2025
08:20:00
21 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.717 2.7287 2.6937 1.99 0.5896
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 2.717
  • Stop Loss: 2.7287
  • Take Profit: 2.6937

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7287 - 2.717 = 0.0117

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.717 - 2.6937 = 0.0233

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0233 / 0.0117 = 1.9915

📌 Position Size

Amount Margin Quantity Leverage
1863.232 100 685.7681 18.63
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 0.0117

Taille de position = 8 / 0.0117 = 683.76

Taille de position USD = 683.76 x 2.717 = 1857.78

Donc, tu peux acheter 683.76 avec un stoploss a 2.7287

Avec un position size USD de 1857.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 683.76 x 0.0117 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 683.76 x 0.0233 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position 683.76
  • Taille de position USD 1857.78
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9915

📌 Peformances

TP % Target TP $ Target
0.86 % 15.98 $
SL % Target SL $ Target
0.43 % 8.02 $
PNL PNL %
-8.02 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8097 % 188.04 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.6937
            [entry_price] => 2.717
            [stop_loss] => 2.72987
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 08:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.6937
            [entry_price] => 2.717
            [stop_loss] => 2.73104
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 08:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.6937
            [entry_price] => 2.717
            [stop_loss] => 2.73221
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 08:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.6937
            [entry_price] => 2.717
            [stop_loss] => 2.73455
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 08:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.017
            [max_drawdown] => 0.028
            [rr_ratio] => 0.61
            [high] => 2.74500000
            [low] => 2.70000000
            [mfe_pct] => 0.63
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T07:58:26-04:00
            [end_at] => 2025-09-30T09:58:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.101
            [max_drawdown] => 0.028
            [rr_ratio] => 3.61
            [high] => 2.74500000
            [low] => 2.61600000
            [mfe_pct] => 3.72
            [mae_pct] => 1.03
            [mfe_mae_ratio] => 3.61
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T07:58:26-04:00
            [end_at] => 2025-09-30T14:58:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.72200000
            [high_after] => 2.74500000
            [low_before] => 2.64900000
            [low_after] => 2.61600000
            [is_new_high] => 
            [is_new_low] => 1
        )

)