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Short Trade on BAT

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Short Trade on BAT 05 Jul 2025 at 03:06:44

Take profit at 0.1242 (0.32 %) and Stop Loss at 0.1249 (0.24 %)

Short Trade on BAT

The 05 Jul 2025 at 03:06:44

With 31731.7775 BAT at 0.1246$ per unit.

Position size of 3953.7795 $

Take profit at 0.1242 (0.32 %) and Stop Loss at 0.1249 (0.24 %)

That's a 1.33 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 1.8583
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
1 0.36
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.273567

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0001680754672
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.124328
  4. ema21 : 0.124998
  5. ema50 : 0.126207
  6. ema100 : 0.12641
  7. price_ema9_diff : 0.00218534
  8. ema9_ema21_diff : -0.00535885
  9. ema21_ema50_diff : -0.00957869
  10. price_ema100_diff : -0.0143228
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.440372
  14. kc_percentage : 0.392035
  15. kc_width_percentage : 0.0246236
  16. volume_ema_diff : 2.34286
  17. volume_ema1 : 376977.43893967
  18. volume_ema2 : 112770.66372065
    19. ¸
  19. 15m
  20. ema9 : 0.124214
  21. ema21 : 0.124107
  22. ema50 : 0.124328
  23. ema100 : 0.124933
  24. price_ema9_diff : 0.00310312
  25. ema9_ema21_diff : 0.000859064
  26. ema21_ema50_diff : -0.001778
  27. price_ema100_diff : -0.00267108
  28. all_emas_in_trend : False
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.577053
  31. kc_percentage : 0.85407
  32. kc_width_percentage : 0.0111283
  33. volume_ema_diff : -0.479797
  34. volume_ema1 : 44850.251330161
  35. volume_ema2 : 86216.879190243
    36. ¸
  36. 5m
  37. ema9 : 0.12443
  38. ema21 : 0.124214
  39. ema50 : 0.124097
  40. ema100 : 0.124125
  41. price_ema9_diff : 0.00135902
  42. ema9_ema21_diff : 0.00174173
  43. ema21_ema50_diff : 0.000945372
  44. price_ema100_diff : 0.00382288
  45. all_emas_in_trend : True
  46. all_emas_and_price_in_trend : True
  47. rsi : 0.634147
  48. kc_percentage : 1.09437
  49. kc_width_percentage : 0.00504586
  50. volume_ema_diff : -0.989302
  51. volume_ema1 : 474.50651565471
  52. volume_ema2 : 44356.520402124
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    108085
  56. 5m_price_ema100_diff: 
    0.00100935
  57. 5m_price: 
    108194
  58. 5m_correlation_with_coin: 
    0.273567
  59. btc_indicators
  60. 15m_ema100: 
    108162
  61. 15m_price_ema100_diff: 
    0.000288611
  62. 15m_price: 
    108194
  63. btc_indicators
  64. 1H_ema100: 
    108125
  65. 1H_price_ema100_diff: 
    0.000637967
  66. 1H_price: 
    108194
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Jul 2025
03:06:44		 05 Jul 2025
03:40:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1246 0.1249 0.1242 1.33 0.1151
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 0.1246
  • Stop Loss: 0.1249
  • Take Profit: 0.1242

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1249 - 0.1246 = 0.00029999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1246 - 0.1242 = 0.0004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0004 / 0.00029999999999999 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
3953.7795 100 31731.7775 39.54
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 0.00029999999999999

Taille de position = 8 / 0.00029999999999999 = 26666.67

Taille de position USD = 26666.67 x 0.1246 = 3322.67

Donc, tu peux acheter 26666.67 avec un stoploss a 0.1249

Avec un position size USD de 3322.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 26666.67 x 0.00029999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 26666.67 x 0.0004 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position 26666.67
  • Taille de position USD 3322.67
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.32 % 12.69 $
SL % Target SL $ Target
0.24 % 9.52 $
PNL PNL %
12.69 $ 0.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.124
            [stop_loss] => 0.1249
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 03:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.12385
            [stop_loss] => 0.1249
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 04:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1237
            [stop_loss] => 0.1249
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 04:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.12355
            [stop_loss] => 0.1249
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 04:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1234
            [stop_loss] => 0.1249
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 04:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.12325
            [stop_loss] => 0.1249
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 05:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1231
            [stop_loss] => 0.1249
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 05:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.12295
            [stop_loss] => 0.1249
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 05:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1228
            [stop_loss] => 0.1249
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 05:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.12265
            [stop_loss] => 0.1249
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-05 05:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12460000
            [low] => 0.12320000
            [mfe_pct] => 1.12
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-05T03:06:44-04:00
            [end_at] => 2025-07-05T05:06:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.12460000
            [low] => 0.12260000
            [mfe_pct] => 1.61
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-07-05T03:06:44-04:00
            [end_at] => 2025-07-05T09:06:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12460000
            [high_after] => 0.12460000
            [low_before] => 0.12300000
            [low_after] => 0.12260000
            [is_new_high] => 
            [is_new_low] => 1
        )

)