Long Trade on BARD 21 Sep 2025 at 05:58:23

Take profit at 1.1243 (4.85 %) and Stop Loss at 1.0463 (2.42 %)

Long Trade on BARD

The 21 Sep 2025 at 05:58:23

With 307.7159 BARD at 1.0723$ per unit.

Position size of 329.9638 $

Take profit at 1.1243 (4.85 %) and Stop Loss at 1.0463 (2.42 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.23
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
0 0.65
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_high

BTC Correlation Score

5m : 0.073873

15m : -0.061238

1H : 0.04086

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.01733200278
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 1.0871
  4. ema21 : 1.05446
  5. ema50 : 1.021
  6. ema100 : 0
  7. price_ema9_diff : -0.0136216
  8. ema9_ema21_diff : 0.0309586
  9. ema21_ema50_diff : 0.0327663
  10. price_ema100_diff : 0
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.75591
  14. ema_slope_21 : 0.608915
  15. ema_slope_50 : 0.327607
  16. ema_slope_100 : 0.136126
  17. rsi : 0.548647
  18. adx : 0.39214
  19. kc_percentage : 0.576078
  20. kc_width_percentage : 0.189797
  21. volume_ema_diff : -0.369455
  22. volume_ema1 : 5156880.800437
  23. volume_ema2 : 8178458.4649189
  24. chop : 33.7728
  25. regime : bull_high
  26. ¸
  27. 15m
  28. ema9 : 1.11047
  29. ema21 : 1.11076
  30. ema50 : 1.08239
  31. ema100 : 1.04983
  32. price_ema9_diff : -0.0343742
  33. ema9_ema21_diff : -0.000266738
  34. ema21_ema50_diff : 0.0262089
  35. price_ema100_diff : 0.0214014
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.139429
  39. ema_slope_21 : 0.107921
  40. ema_slope_50 : 0.185478
  41. ema_slope_100 : 0.157691
  42. rsi : 0.426853
  43. adx : 0.226466
  44. kc_percentage : 0.175153
  45. kc_width_percentage : 0.112664
  46. volume_ema_diff : -0.099873
  47. volume_ema1 : 1378051.4402686
  48. volume_ema2 : 1530952.2954601
  49. chop : 41.3147
  50. regime : bull_high
  51. ¸
  52. 5m
  53. ema9 : 1.08743
  54. ema21 : 1.10721
  55. ema50 : 1.11517
  56. ema100 : 1.10281
  57. price_ema9_diff : -0.0139176
  58. ema9_ema21_diff : -0.017861
  59. ema21_ema50_diff : -0.0071414
  60. price_ema100_diff : -0.0276683
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : -0.448262
  64. ema_slope_21 : -0.26418
  65. ema_slope_50 : -0.0948239
  66. ema_slope_100 : -0.0140881
  67. rsi : 0.339838
  68. adx : 0.332319
  69. kc_percentage : -0.00516828
  70. kc_width_percentage : 0.0625286
  71. volume_ema_diff : -0.272514
  72. volume_ema1 : 452827.70194752
  73. volume_ema2 : 622455.67850971
  74. chop : 38.2428
  75. regime : bear_high
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    115554
  80. 5m_price_ema100_diff:
    0.000844403
  81. 5m_price:
    115651
  82. 5m_correlation_with_coin:
    0.073873
  83. btc_indicators
  84. 15m_ema100:
    115646
  85. 15m_price_ema100_diff:
    -0.00117122
  86. 15m_price:
    115511
  87. 15m_correlation_with_coin:
    -0.061238
  88. btc_indicators
  89. 1H_ema100:
    116180
  90. 1H_price_ema100_diff:
    -0.00455101
  91. 1H_price:
    115651
  92. 1H_correlation_with_coin:
    0.04086
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
21 Sep 2025
05:58:23
21 Sep 2025
07:30:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0723 1.0463 1.1243 2 0.8596
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 1.0723
  • Stop Loss: 1.0463
  • Take Profit: 1.1243

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0463 - 1.0723 = -0.026

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0723 - 1.1243 = -0.052

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.052 / -0.026 = 2

📌 Position Size

Amount Margin Quantity Leverage
329.9638 100 307.7159 3.30
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 -0.026

Taille de position = 8 / -0.026 = -307.69

Taille de position USD = -307.69 x 1.0723 = -329.94

Donc, tu peux acheter -307.69 avec un stoploss a 1.0463

Avec un position size USD de -329.94$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -307.69 x -0.026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -307.69 x -0.052 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -307.69
  • Taille de position USD -329.94
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
4.85 % 16 $
SL % Target SL $ Target
2.42 % 8 $
PNL PNL %
-8 $ -2.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.0122 % 124.23 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.1243
            [entry_price] => 1.0723
            [stop_loss] => 1.0437
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-21 07:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.1243
            [entry_price] => 1.0723
            [stop_loss] => 1.0411
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-21 07:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.1243
            [entry_price] => 1.0723
            [stop_loss] => 1.0385
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-21 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.1243
            [entry_price] => 1.0723
            [stop_loss] => 1.0333
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-21 07:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.0551
            [rr_ratio] => 0.18
            [high] => 1.08240000
            [low] => 1.01720000
            [mfe_pct] => 0.94
            [mae_pct] => 5.14
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-09-21T05:58:23-04:00
            [end_at] => 2025-09-21T07:58:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.0653
            [rr_ratio] => 0.15
            [high] => 1.08240000
            [low] => 1.00700000
            [mfe_pct] => 0.94
            [mae_pct] => 6.09
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-21T05:58:23-04:00
            [end_at] => 2025-09-21T12:58:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.20990000
            [high_after] => 1.08240000
            [low_before] => 1.06050000
            [low_after] => 1.01250000
            [is_new_high] => 
            [is_new_low] => 
        )

)