Short Trade on HBAR 22 Sep 2025 at 09:02:42

Take profit at 0.2168 (0.87 %) and Stop Loss at 0.2196 (0.41 %)

Short Trade on HBAR

The 22 Sep 2025 at 09:02:42

With 8635.3921 HBAR at 0.2187$ per unit.

Position size of 1888.4739 $

Take profit at 0.2168 (0.87 %) and Stop Loss at 0.2196 (0.41 %)

That's a 2.11 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.44
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.59
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 : range_low

BTC Correlation Score

5m : 0.823069

15m : 0.032405

1H : -0.01714

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0006176133403
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.219369
  4. ema21 : 0.224416
  5. ema50 : 0.231434
  6. ema100 : 0.236607
  7. price_ema9_diff : -0.00309778
  8. ema9_ema21_diff : -0.022491
  9. ema21_ema50_diff : -0.030323
  10. price_ema100_diff : -0.0757259
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.489404
  14. ema_slope_21 : -0.401967
  15. ema_slope_50 : -0.255074
  16. ema_slope_100 : -0.157829
  17. rsi : 0.297383
  18. adx : 0.683694
  19. kc_percentage : 0.0255034
  20. kc_width_percentage : 0.0516078
  21. volume_ema_diff : -0.295486
  22. volume_ema1 : 1992802.881654
  23. volume_ema2 : 2828622.4863208
  24. chop : 14.1514
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.217541
  29. ema21 : 0.217804
  30. ema50 : 0.221222
  31. ema100 : 0.225928
  32. price_ema9_diff : 0.00528161
  33. ema9_ema21_diff : -0.0012087
  34. ema21_ema50_diff : -0.0154504
  35. price_ema100_diff : -0.0320374
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0454446
  39. ema_slope_21 : -0.0360535
  40. ema_slope_50 : -0.0914863
  41. ema_slope_100 : -0.0865039
  42. rsi : 0.516618
  43. adx : 0.586929
  44. kc_percentage : 0.702372
  45. kc_width_percentage : 0.0217874
  46. volume_ema_diff : -0.595211
  47. volume_ema1 : 367135.42865555
  48. volume_ema2 : 906980.3076314
  49. chop : 55.0029
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 0.217815
  54. ema21 : 0.217393
  55. ema50 : 0.217348
  56. ema100 : 0.218674
  57. price_ema9_diff : 0.00401328
  58. ema9_ema21_diff : 0.00194498
  59. ema21_ema50_diff : 0.000207069
  60. price_ema100_diff : 7.13795E-5
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0394069
  64. ema_slope_21 : 0.0294443
  65. ema_slope_50 : 0.00824982
  66. ema_slope_100 : -0.0102757
  67. rsi : 0.658399
  68. adx : 0.153262
  69. kc_percentage : 1.02237
  70. kc_width_percentage : 0.0111325
  71. volume_ema_diff : -0.0985857
  72. volume_ema1 : 188847.79117148
  73. volume_ema2 : 209501.66427732
  74. chop : 52.0182
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112935
  80. 5m_price_ema100_diff:
    -0.00212926
  81. 5m_price:
    112695
  82. 5m_correlation_with_coin:
    0.823069
  83. btc_indicators
  84. 15m_ema100:
    114000
  85. 15m_price_ema100_diff:
    -0.0114506
  86. 15m_price:
    112695
  87. 15m_correlation_with_coin:
    0.032405
  88. btc_indicators
  89. 1H_ema100:
    115363
  90. 1H_price_ema100_diff:
    -0.0231293
  91. 1H_price:
    112695
  92. 1H_correlation_with_coin:
    -0.01714
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
09:02:42
22 Sep 2025
09:15:00
12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2187 0.2196 0.2168 2.11 0.1027
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 0.2187
  • Stop Loss: 0.2196
  • Take Profit: 0.2168

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2196 - 0.2187 = 0.00089999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2187 - 0.2168 = 0.0019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0019 / 0.00089999999999998 = 2.1111

📌 Position Size

Amount Margin Quantity Leverage
1888.4739 100 8635.3921 18.88
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 0.00089999999999998

Taille de position = 8 / 0.00089999999999998 = 8888.89

Taille de position USD = 8888.89 x 0.2187 = 1944

Donc, tu peux acheter 8888.89 avec un stoploss a 0.2196

Avec un position size USD de 1944$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8888.89 x 0.00089999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8888.89 x 0.0019 = 16.89

Si Take Profit atteint, tu gagneras 16.89$

Résumé

  • Taille de position 8888.89
  • Taille de position USD 1944
  • Perte potentielle 8
  • Gain potentiel 16.89
  • Risk-Reward Ratio 2.1111

📌 Peformances

TP % Target TP $ Target
0.87 % 16.41 $
SL % Target SL $ Target
0.41 % 7.77 $
PNL PNL %
-7.77 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4115 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2168
            [entry_price] => 0.2187
            [stop_loss] => 0.21969
            [rr_ratio] => 1.92
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 09:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2168
            [entry_price] => 0.2187
            [stop_loss] => 0.21978
            [rr_ratio] => 1.76
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 09:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2168
            [entry_price] => 0.2187
            [stop_loss] => 0.21987
            [rr_ratio] => 1.62
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 09:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2168
            [entry_price] => 0.2187
            [stop_loss] => 0.22005
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 09:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.00355
            [rr_ratio] => 0.11
            [high] => 0.22225000
            [low] => 0.21830000
            [mfe_pct] => 0.18
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T09:02:42-04:00
            [end_at] => 2025-09-22T11:02:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00205
            [max_drawdown] => 0.00355
            [rr_ratio] => 0.58
            [high] => 0.22225000
            [low] => 0.21665000
            [mfe_pct] => 0.94
            [mae_pct] => 1.62
            [mfe_mae_ratio] => 0.58
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T09:02:42-04:00
            [end_at] => 2025-09-22T16:02:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21906000
            [high_after] => 0.22225000
            [low_before] => 0.21404000
            [low_after] => 0.21820000
            [is_new_high] => 
            [is_new_low] => 
        )

)