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Short Trade on HBAR

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Short Trade on HBAR 22 Sep 2025 at 09:57:49

Take profit at 0.2187 (1.04 %) and Stop Loss at 0.2221 (0.5 %)

Short Trade on HBAR

The 22 Sep 2025 at 09:57:49

With 7019.5491 HBAR at 0.221$ per unit.

Position size of 1551.0396 $

Take profit at 0.2187 (1.04 %) and Stop Loss at 0.2221 (0.5 %)

That's a 2.09 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 3.5
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
1 0.55
Prediction 3 Probability
0 0.77
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.809551

15m : -0.048455

1H : -0.058087

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0007597828925
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.219823
  4. ema21 : 0.224623
  5. ema50 : 0.231523
  6. ema100 : 0.236652
  7. price_ema9_diff : 0.00516978
  8. ema9_ema21_diff : -0.0213679
  9. ema21_ema50_diff : -0.0298045
  10. price_ema100_diff : -0.0663093
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.47317
  14. ema_slope_21 : -0.394674
  15. ema_slope_50 : -0.251967
  16. ema_slope_100 : -0.156276
  17. rsi : 0.367375
  18. adx : 0.668309
  19. kc_percentage : 0.23294
  20. kc_width_percentage : 0.0559473
  21. volume_ema_diff : 0.0122405
  22. volume_ema1 : 2980918.0969042
  23. volume_ema2 : 2944871.3351737
  24. chop : 14.3487
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.218506
  28. ema21 : 0.218238
  29. ema50 : 0.221031
  30. ema100 : 0.22553
  31. price_ema9_diff : 0.0112283
  32. ema9_ema21_diff : 0.00122638
  33. ema21_ema50_diff : -0.0126356
  34. price_ema100_diff : -0.0202639
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0782522
  38. ema_slope_21 : 0.00154406
  39. ema_slope_50 : -0.0683946
  40. ema_slope_100 : -0.0748763
  41. rsi : 0.546953
  42. adx : 0.483252
  43. kc_percentage : 1.05925
  44. kc_width_percentage : 0.0223427
  45. volume_ema_diff : -0.400633
  46. volume_ema1 : 530705.79389874
  47. volume_ema2 : 885445.04177594
  48. chop : 53.7974
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.219683
  52. ema21 : 0.218832
  53. ema50 : 0.218079
  54. ema100 : 0.21852
  55. price_ema9_diff : 0.00581052
  56. ema9_ema21_diff : 0.00389015
  57. ema21_ema50_diff : 0.00345354
  58. price_ema100_diff : 0.0111618
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.079896
  62. ema_slope_21 : 0.060192
  63. ema_slope_50 : 0.0325441
  64. ema_slope_100 : 0.00929766
  65. rsi : 0.738082
  66. adx : 0.291032
  67. kc_percentage : 1.15418
  68. kc_width_percentage : 0.0143453
  69. volume_ema_diff : 0.182502
  70. volume_ema1 : 272032.25842205
  71. volume_ema2 : 230047.89783745
  72. chop : 34.6365
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112874
  77. 5m_price_ema100_diff: 
    0.000140556
  78. 5m_price: 
    112889
  79. 5m_correlation_with_coin: 
    0.809551
  80. btc_indicators
  81. 15m_ema100: 
    113921
  82. 15m_price_ema100_diff: 
    -0.0131609
  83. 15m_price: 
    112422
  84. 15m_correlation_with_coin: 
    -0.048455
  85. btc_indicators
  86. 1H_ema100: 
    115367
  87. 1H_price_ema100_diff: 
    -0.0214726
  88. 1H_price: 
    112889
  89. 1H_correlation_with_coin: 
    -0.058087
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
09:57:49		 22 Sep 2025
10:00:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.221 0.2221 0.2187 2.09 0.1004
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 0.221
  • Stop Loss: 0.2221
  • Take Profit: 0.2187

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2221 - 0.221 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.221 - 0.2187 = 0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0023 / 0.0011 = 2.0909

📌 Position Size

Amount Margin Quantity Leverage
1551.0396 100 7019.5491 15.51
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.221 = 1607.27

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2221

Avec un position size USD de 1607.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0023 = 16.73

Si Take Profit atteint, tu gagneras 16.73$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1607.27
  • Perte potentielle 8
  • Gain potentiel 16.73
  • Risk-Reward Ratio 2.0909

📌 Peformances

TP % Target TP $ Target
1.04 % 16.14 $
SL % Target SL $ Target
0.5 % 7.72 $
PNL PNL %
-7.72 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5656 % 113.64 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2187
            [entry_price] => 0.221
            [stop_loss] => 0.22221
            [rr_ratio] => 1.9
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 10:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2187
            [entry_price] => 0.221
            [stop_loss] => 0.22232
            [rr_ratio] => 1.74
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 12:45:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.2187
            [entry_price] => 0.221
            [stop_loss] => 0.22243
            [rr_ratio] => 1.61
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 12:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2187
            [entry_price] => 0.221
            [stop_loss] => 0.22265
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 12:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0022
            [max_drawdown] => 0.00125
            [rr_ratio] => 1.76
            [high] => 0.22225000
            [low] => 0.21880000
            [mfe_pct] => 1
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 1.76
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T09:57:49-04:00
            [end_at] => 2025-09-22T11:57:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00435
            [max_drawdown] => 0.00125
            [rr_ratio] => 3.48
            [high] => 0.22225000
            [low] => 0.21665000
            [mfe_pct] => 1.97
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 3.48
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T09:57:49-04:00
            [end_at] => 2025-09-22T16:57:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.22189000
            [high_after] => 0.22225000
            [low_before] => 0.21404000
            [low_after] => 0.21685000
            [is_new_high] => 
            [is_new_low] => 
        )

)