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Short Trade on BARD

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Short Trade on BARD 28 Sep 2025 at 03:39:39

Take profit at 1.0388 (2.12 %) and Stop Loss at 1.0726 (1.06 %)

Short Trade on BARD

The 28 Sep 2025 at 03:39:39

With 709.7096 BARD at 1.0613$ per unit.

Position size of 753.2148 $

Take profit at 1.0388 (2.12 %) and Stop Loss at 1.0726 (1.06 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.68
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.48
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.355886

15m : 0.031721

1H : 0.068137

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00751481103
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 1.0509
  4. ema21 : 1.06795
  5. ema50 : 1.09562
  6. ema100 : 1.12787
  7. price_ema9_diff : 0.00989264
  8. ema9_ema21_diff : -0.0159617
  9. ema21_ema50_diff : -0.0252587
  10. price_ema100_diff : -0.0590232
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.269875
  14. ema_slope_21 : -0.280033
  15. ema_slope_50 : -0.199053
  16. ema_slope_100 : -0.14793
  17. rsi : 0.448952
  18. adx : 0.152442
  19. kc_percentage : 0.449488
  20. kc_width_percentage : 0.0983248
  21. volume_ema_diff : -0.595898
  22. volume_ema1 : 704571.62051694
  23. volume_ema2 : 1743550.8200506
  24. chop : 65.3904
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 1.04067
  28. ema21 : 1.0413
  29. ema50 : 1.05254
  30. ema100 : 1.07133
  31. price_ema9_diff : 0.0198152
  32. ema9_ema21_diff : -0.000601158
  33. ema21_ema50_diff : -0.0106828
  34. price_ema100_diff : -0.00937106
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0200847
  38. ema_slope_21 : -0.0476752
  39. ema_slope_50 : -0.0731961
  40. ema_slope_100 : -0.0717892
  41. rsi : 0.531097
  42. adx : 0.137621
  43. kc_percentage : 0.935698
  44. kc_width_percentage : 0.0438489
  45. volume_ema_diff : -0.681179
  46. volume_ema1 : 79561.505048174
  47. volume_ema2 : 249549.21138892
  48. chop : 68.4811
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 1.04692
  52. ema21 : 1.04174
  53. ema50 : 1.04023
  54. ema100 : 1.04372
  55. price_ema9_diff : 0.013727
  56. ema9_ema21_diff : 0.00498022
  57. ema21_ema50_diff : 0.00144412
  58. price_ema100_diff : 0.0168353
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.119363
  62. ema_slope_21 : 0.0667205
  63. ema_slope_50 : 0.0212066
  64. ema_slope_100 : 0.000879076
  65. rsi : 0.697826
  66. adx : 0.256211
  67. kc_percentage : 1.11628
  68. kc_width_percentage : 0.0295191
  69. volume_ema_diff : 0.844454
  70. volume_ema1 : 116377.87754636
  71. volume_ema2 : 63096.09086114
  72. chop : 29.637
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109389
  77. 5m_price_ema100_diff: 
    0.000188417
  78. 5m_price: 
    109410
  79. 5m_correlation_with_coin: 
    0.355886
  80. btc_indicators
  81. 15m_ema100: 
    109392
  82. 15m_price_ema100_diff: 
    0.000400912
  83. 15m_price: 
    109436
  84. 15m_correlation_with_coin: 
    0.031721
  85. btc_indicators
  86. 1H_ema100: 
    110182
  87. 1H_price_ema100_diff: 
    -0.00701377
  88. 1H_price: 
    109410
  89. 1H_correlation_with_coin: 
    0.068137
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
28 Sep 2025
03:39:39		 28 Sep 2025
03:45:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0613 1.0726 1.0388 1.99 0.8436
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 1.0613
  • Stop Loss: 1.0726
  • Take Profit: 1.0388

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0726 - 1.0613 = 0.0113

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0613 - 1.0388 = 0.0225

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0225 / 0.0113 = 1.9912

📌 Position Size

Amount Margin Quantity Leverage
753.2148 100 709.7096 7.53
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 0.0113

Taille de position = 8 / 0.0113 = 707.96

Taille de position USD = 707.96 x 1.0613 = 751.36

Donc, tu peux acheter 707.96 avec un stoploss a 1.0726

Avec un position size USD de 751.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 707.96 x 0.0113 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 707.96 x 0.0225 = 15.93

Si Take Profit atteint, tu gagneras 15.93$

Résumé

  • Taille de position 707.96
  • Taille de position USD 751.36
  • Perte potentielle 8
  • Gain potentiel 15.93
  • Risk-Reward Ratio 1.9912

📌 Peformances

TP % Target TP $ Target
2.12 % 15.97 $
SL % Target SL $ Target
1.06 % 8.02 $
PNL PNL %
-8.02 $ -1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1401 % 107.08 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0388
            [entry_price] => 1.0613
            [stop_loss] => 1.07373
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-28 03:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0388
            [entry_price] => 1.0613
            [stop_loss] => 1.07486
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-28 03:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0388
            [entry_price] => 1.0613
            [stop_loss] => 1.07599
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-28 03:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0388
            [entry_price] => 1.0613
            [stop_loss] => 1.07825
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 03:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0088999999999999
            [max_drawdown] => 0.0809
            [rr_ratio] => 0.11
            [high] => 1.14220000
            [low] => 1.05240000
            [mfe_pct] => 0.84
            [mae_pct] => 7.62
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-28T03:39:39-04:00
            [end_at] => 2025-09-28T05:39:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0961
            [max_drawdown] => 0.098
            [rr_ratio] => 0.98
            [high] => 1.15930000
            [low] => 0.96520000
            [mfe_pct] => 9.05
            [mae_pct] => 9.23
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 84
            [start_at] => 2025-09-28T03:39:39-04:00
            [end_at] => 2025-09-28T10:39:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.06660000
            [high_after] => 1.15930000
            [low_before] => 1.02280000
            [low_after] => 0.96520000
            [is_new_high] => 
            [is_new_low] => 1
        )

)