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Short Trade on BERA

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Short Trade on BERA 01 Sep 2025 at 05:10:22

Take profit at 2.4928 (1 %) and Stop Loss at 2.5348 (0.67 %)

Short Trade on BERA

The 01 Sep 2025 at 05:10:22

With 477.014 BERA at 2.518$ per unit.

Position size of 1201.1213 $

Take profit at 2.4928 (1 %) and Stop Loss at 2.5348 (0.67 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.92
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.79
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low
BTC Correlation Score

5m : 0.616555

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0111806637
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 2.49285
  4. ema21 : 2.52686
  5. ema50 : 2.58062
  6. ema100 : 2.60793
  7. price_ema9_diff : 0.0100864
  8. ema9_ema21_diff : -0.0134602
  9. ema21_ema50_diff : -0.0208325
  10. price_ema100_diff : -0.0344859
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.459167
  14. adx : 0.24158
  15. kc_percentage : 0.463247
  16. kc_width_percentage : 0.0661699
  17. volume_ema_diff : -0.0221026
  18. volume_ema1 : 405557.35329351
  19. volume_ema2 : 414723.86375935
    20. ¸
  20. 15m
  21. ema9 : 2.48876
  22. ema21 : 2.4763
  23. ema50 : 2.49843
  24. ema100 : 2.53196
  25. price_ema9_diff : 0.0117473
  26. ema9_ema21_diff : 0.00503288
  27. ema21_ema50_diff : -0.0088598
  28. price_ema100_diff : -0.0055138
  29. all_emas_in_trend : False
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.620967
  32. adx : 0.265196
  33. kc_percentage : 0.960411
  34. kc_width_percentage : 0.0360275
  35. volume_ema_diff : -0.144077
  36. volume_ema1 : 116169.62651539
  37. volume_ema2 : 135724.45680298
    38. ¸
  38. 5m
  39. ema9 : 2.50786
  40. ema21 : 2.49454
  41. ema50 : 2.47607
  42. ema100 : 2.47618
  43. price_ema9_diff : 0.00404287
  44. ema9_ema21_diff : 0.0053394
  45. ema21_ema50_diff : 0.00745813
  46. price_ema100_diff : 0.0168877
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.676001
  50. adx : 0.345611
  51. kc_percentage : 1.02306
  52. kc_width_percentage : 0.0169893
  53. volume_ema_diff : -0.597799
  54. volume_ema1 : 17548.999619462
  55. volume_ema2 : 43632.512406567
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    108385
  59. 5m_price_ema100_diff: 
    0.0107965
  60. 5m_price: 
    109555
  61. 5m_correlation_with_coin: 
    0.616555
  62. btc_indicators
  63. 15m_ema100: 
    108465
  64. 15m_price_ema100_diff: 
    0.0100469
  65. 15m_price: 
    109555
  66. btc_indicators
  67. 1H_ema100: 
    109545
  68. 1H_price_ema100_diff: 
    8.64554E-5
  69. 1H_price: 
    109555
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
01 Sep 2025
05:10:22		 01 Sep 2025
06:00:00		 49 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.518 2.5348 2.4928 1.5 0.6304
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 2.518
  • Stop Loss: 2.5348
  • Take Profit: 2.4928

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5348 - 2.518 = 0.0168

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.518 - 2.4928 = 0.0252

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0252 / 0.0168 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1201.1213 100 477.014 12.01
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 0.0168

Taille de position = 8 / 0.0168 = 476.19

Taille de position USD = 476.19 x 2.518 = 1199.05

Donc, tu peux acheter 476.19 avec un stoploss a 2.5348

Avec un position size USD de 1199.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 476.19 x 0.0168 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 476.19 x 0.0252 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 476.19
  • Taille de position USD 1199.05
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12.02 $
SL % Target SL $ Target
0.67 % 8.01 $
PNL PNL %
12.02 $ 1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.4844
            [stop_loss] => 2.5348
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 06:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.476
            [stop_loss] => 2.5348
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.4676
            [stop_loss] => 2.5348
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.4592
            [stop_loss] => 2.5348
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 06:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.4508
            [stop_loss] => 2.5348
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 07:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.4424
            [stop_loss] => 2.5348
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 08:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.434
            [stop_loss] => 2.5348
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 09:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.4256
            [stop_loss] => 2.5348
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 09:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.4172
            [stop_loss] => 2.5348
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 10:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.4088
            [stop_loss] => 2.5348
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 11:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.061
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.51800000
            [low] => 2.45700000
            [mfe_pct] => 2.42
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T05:10:22-04:00
            [end_at] => 2025-09-01T07:10:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.171
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.51800000
            [low] => 2.34700000
            [mfe_pct] => 6.79
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T05:10:22-04:00
            [end_at] => 2025-09-01T12:10:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.52200000
            [high_after] => 2.51800000
            [low_before] => 2.41100000
            [low_after] => 2.40800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)