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Short Trade on BRETT

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Short Trade on BRETT 29 May 2025 at 18:13:10

Take profit at 0.06422 (0.94 %) and Stop Loss at 0.06523 (0.62 %)

Short Trade on BRETT

The 29 May 2025 at 18:13:10

With 19824.6766 BRETT at 0.06483$ per unit.

Position size of 1285.2338 $

Take profit at 0.06422 (0.94 %) and Stop Loss at 0.06523 (0.62 %)

That's a 1.53 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.005
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.52
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.727401

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0002690249856
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.0647809
  4. ema21 : 0.0657398
  5. ema50 : 0.0663694
  6. ema100 : 0.0663254
  7. price_ema9_diff : 0.000757229
  8. ema9_ema21_diff : -0.0145864
  9. ema21_ema50_diff : -0.0094862
  10. price_ema100_diff : -0.0225465
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.446658
  14. kc_percentage : 0.35409
  15. kc_width_percentage : 0.0908934
    16. ¸
  16. 15m
  17. ema9 : 0.064187
  18. ema21 : 0.0642407
  19. ema50 : 0.0651112
  20. ema100 : 0.0657894
  21. price_ema9_diff : 0.0100167
  22. ema9_ema21_diff : -0.000835855
  23. ema21_ema50_diff : -0.0133696
  24. price_ema100_diff : -0.0145833
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.548555
  28. kc_percentage : 0.765243
  29. kc_width_percentage : 0.0357257
    30. ¸
  30. 5m
  31. ema9 : 0.0646338
  32. ema21 : 0.0642821
  33. ema50 : 0.0641527
  34. ema100 : 0.0643937
  35. price_ema9_diff : 0.00303408
  36. ema9_ema21_diff : 0.00547137
  37. ema21_ema50_diff : 0.00201791
  38. price_ema100_diff : 0.00677415
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.654682
  42. kc_percentage : 1.00271
  43. kc_width_percentage : 0.016231
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106486
  47. 5m_price_ema100_diff: 
    -0.00220383
  48. 5m_price: 
    106251
  49. 5m_correlation_with_coin: 
    0.727401
  50. btc_indicators
  51. 15m_ema100: 
    107174
  52. 15m_price_ema100_diff: 
    -0.00861245
  53. 15m_price: 
    106251
  54. btc_indicators
  55. 1H_ema100: 
    108087
  56. 1H_price_ema100_diff: 
    -0.0169869
  57. 1H_price: 
    106251
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 May 2025
18:13:10		 29 May 2025
18:55:00		 41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06483 0.06523 0.06422 1.53 0.00699
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 0.06483
  • Stop Loss: 0.06523
  • Take Profit: 0.06422

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06523 - 0.06483 = 0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06483 - 0.06422 = 0.00061

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00061 / 0.0004 = 1.525

📌 Position Size

Amount Margin Quantity Leverage
1285.2338 100 19824.6766 12.85
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 0.0004

Taille de position = 8 / 0.0004 = 20000

Taille de position USD = 20000 x 0.06483 = 1296.6

Donc, tu peux acheter 20000 avec un stoploss a 0.06523

Avec un position size USD de 1296.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00061 = 12.2

Si Take Profit atteint, tu gagneras 12.2$

Résumé

  • Taille de position 20000
  • Taille de position USD 1296.6
  • Perte potentielle 8
  • Gain potentiel 12.2
  • Risk-Reward Ratio 1.525

📌 Peformances

TP % Target TP $ Target
0.94 % 12.09 $
SL % Target SL $ Target
0.62 % 7.93 $
PNL PNL %
12.09 $ 0.94
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.061699830325464 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.06403
            [stop_loss] => 0.06523
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.06383
            [stop_loss] => 0.06523
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.06363
            [stop_loss] => 0.06523
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.06343
            [stop_loss] => 0.06523
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.06323
            [stop_loss] => 0.06523
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.06303
            [stop_loss] => 0.06523
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.06283
            [stop_loss] => 0.06523
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.06263
            [stop_loss] => 0.06523
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-29 20:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.06243
            [stop_loss] => 0.06523
            [rr_ratio] => 6
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.06223
            [stop_loss] => 0.06523
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-29 20:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.06203
            [stop_loss] => 0.06523
            [rr_ratio] => 7
            [closed_at] => 2025-05-29 20:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00176
            [max_drawdown] => 3.9999999999998E-5
            [rr_ratio] => 44
            [high] => 0.06487000
            [low] => 0.06307000
            [mfe_pct] => 2.71
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 44
            [candles_analyzed] => 24
            [start_at] => 2025-05-29T18:13:10-04:00
            [end_at] => 2025-05-29T20:13:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01068
            [max_drawdown] => 3.9999999999998E-5
            [rr_ratio] => 100
            [high] => 0.06487000
            [low] => 0.05415000
            [mfe_pct] => 16.47
            [mae_pct] => 0.06
            [mfe_mae_ratio] => 267
            [candles_analyzed] => 72
            [start_at] => 2025-05-29T18:13:10-04:00
            [end_at] => 2025-05-30T00:13:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06538000
            [high_after] => 0.06487000
            [low_before] => 0.06258000
            [low_after] => 0.05415000
            [is_new_high] => 
            [is_new_low] => 1
        )

)