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Short Trade on HBAR

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Short Trade on HBAR 30 Sep 2025 at 15:04:36

Take profit at 0.2107 (0.71 %) and Stop Loss at 0.213 (0.38 %)

Short Trade on HBAR

The 30 Sep 2025 at 15:04:36

With 10607.6712 HBAR at 0.2122$ per unit.

Position size of 2251.4782 $

Take profit at 0.2107 (0.71 %) and Stop Loss at 0.213 (0.38 %)

That's a 1.88 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.11
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.62
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.683338

15m : 0.118313

1H : -0.219166

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0005027807905
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.212068
  4. ema21 : 0.213184
  5. ema50 : 0.213818
  6. ema100 : 0.213589
  7. price_ema9_diff : 0.000856641
  8. ema9_ema21_diff : -0.00523755
  9. ema21_ema50_diff : -0.00296426
  10. price_ema100_diff : -0.00627274
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.12775
  14. ema_slope_21 : -0.0924664
  15. ema_slope_50 : -0.0389292
  16. ema_slope_100 : -0.0143108
  17. rsi : 0.449212
  18. adx : 0.246653
  19. kc_percentage : 0.380048
  20. kc_width_percentage : 0.03415
  21. volume_ema_diff : 0.165222
  22. volume_ema1 : 1485092.8239854
  23. volume_ema2 : 1274514.4940989
  24. chop : 47.0838
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 0.211295
  28. ema21 : 0.211487
  29. ema50 : 0.212509
  30. ema100 : 0.213613
  31. price_ema9_diff : 0.00451787
  32. ema9_ema21_diff : -0.000910384
  33. ema21_ema50_diff : -0.00480653
  34. price_ema100_diff : -0.00638133
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0130917
  38. ema_slope_21 : -0.0368749
  39. ema_slope_50 : -0.0371502
  40. ema_slope_100 : -0.0282083
  41. rsi : 0.54093
  42. adx : 0.213923
  43. kc_percentage : 0.705075
  44. kc_width_percentage : 0.0182784
  45. volume_ema_diff : -0.0455221
  46. volume_ema1 : 397055.98348905
  47. volume_ema2 : 415992.8904164
  48. chop : 57.1363
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.211547
  52. ema21 : 0.211116
  53. ema50 : 0.211232
  54. ema100 : 0.211769
  55. price_ema9_diff : 0.00332203
  56. ema9_ema21_diff : 0.00203908
  57. ema21_ema50_diff : -0.00054589
  58. price_ema100_diff : 0.0022675
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0693332
  62. ema_slope_21 : 0.0323779
  63. ema_slope_50 : 0.00430366
  64. ema_slope_100 : -0.00421044
  65. rsi : 0.641105
  66. adx : 0.212865
  67. kc_percentage : 1.08139
  68. kc_width_percentage : 0.00905429
  69. volume_ema_diff : -0.08103
  70. volume_ema1 : 169975.21862515
  71. volume_ema2 : 184962.75793502
  72. chop : 34.0587
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113158
  77. 5m_price_ema100_diff: 
    0.00604295
  78. 5m_price: 
    113842
  79. 5m_correlation_with_coin: 
    0.683338
  80. btc_indicators
  81. 15m_ema100: 
    113526
  82. 15m_price_ema100_diff: 
    0.00277951
  83. 15m_price: 
    113842
  84. 15m_correlation_with_coin: 
    0.118313
  85. btc_indicators
  86. 1H_ema100: 
    111765
  87. 1H_price_ema100_diff: 
    0.0185815
  88. 1H_price: 
    113842
  89. 1H_correlation_with_coin: 
    -0.219166
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.21442
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.20737
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.21702
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.21208
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.22013
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-29 17:00:00
                    [1] => 0.21923
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.21467
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-30 05:00:00
                    [1] => 0.21186
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.21452
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.20909
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.0581763938094
            [ms_dist_from_last_low_pct] => 1.5113109187431
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 2.5969678129035
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-29 20:00:00
                    [1] => 0.21795
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.21467
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 00:45:00
                    [1] => 0.21643
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 01:45:00
                    [1] => 0.21471
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.21618
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 05:00:00
                    [1] => 0.21186
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.21452
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 13:00:00
                    [1] => 0.21163
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.20909
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.21229
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.018842149889308
            [ms_dist_from_last_low_pct] => 1.5113109187431
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.5304414367019
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.21452
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 10:25:00
                    [1] => 0.21194
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.21331
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.21021
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 12:15:00
                    [1] => 0.21014
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-30 12:30:00
                    [1] => 0.21153
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-30 13:05:00
                    [1] => 0.21163
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.21077
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.20909
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.21229
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.018842149889308
            [ms_dist_from_last_low_pct] => 1.5113109187431
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.5304414367019
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.02%
Dist From Last Low Pct
1.51%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
1.53%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0015
0.71%
TP to Pivot Distance
0.0016
0.76%
DateTime Price Type
2025-09-30 09:45:00 0.21452 ↑ High
2025-09-30 10:25:00 0.21194 ↓ Low
2025-09-30 10:55:00 0.21331 ↑ High
2025-09-30 11:25:00 0.21021 ↓ Low
2025-09-30 12:15:00 0.21014 ↓ Low
2025-09-30 12:30:00 0.21153 ↑ High
2025-09-30 13:05:00 0.21163 ↑ High
2025-09-30 13:40:00 0.21077 ↑ High
2025-09-30 14:00:00 0.20909 ↓ Low
2025-09-30 15:00:00 0.21229 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.02%
Dist From Last Low Pct
1.51%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.53%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0050
2.32%
TP to Pivot Distance
0.0016
0.76%
DateTime Price Type
2025-09-29 20:00:00 0.21795 ↑ High
2025-09-29 21:45:00 0.21467 ↓ Low
2025-09-30 00:45:00 0.21643 ↑ High
2025-09-30 01:45:00 0.21471 ↓ Low
2025-09-30 02:30:00 0.21618 ↑ High
2025-09-30 05:00:00 0.21186 ↓ Low
2025-09-30 09:45:00 0.21452 ↑ High
2025-09-30 13:00:00 0.21163 ↑ High
2025-09-30 14:00:00 0.20909 ↓ Low
2025-09-30 15:00:00 0.21229 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.06%
Dist From Last Low Pct
1.51%
Bars Since Swing High
6 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
2.60%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0071
3.35%
TP to Pivot Distance
0.0033
1.58%
DateTime Price Type
2025-09-27 18:00:00 0.21442 ↑ High
2025-09-28 08:00:00 0.20737 ↓ Low
2025-09-28 18:00:00 0.21702 ↑ High
2025-09-29 09:00:00 0.21208 ↓ Low
2025-09-29 11:00:00 0.22013 ↑ High
2025-09-29 17:00:00 0.21923 ↑ High
2025-09-29 21:00:00 0.21467 ↓ Low
2025-09-30 05:00:00 0.21186 ↓ Low
2025-09-30 09:00:00 0.21452 ↑ High
2025-09-30 14:00:00 0.20909 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:04:36		 30 Sep 2025
15:30:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2122 0.213 0.2107 1.88 0.1013
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 0.2122
  • Stop Loss: 0.213
  • Take Profit: 0.2107

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.213 - 0.2122 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2122 - 0.2107 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.0008 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
2251.4782 100 10607.6712 22.51
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.2122 = 2122

Donc, tu peux acheter 10000 avec un stoploss a 0.213

Avec un position size USD de 2122$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 2122
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.71 % 15.91 $
SL % Target SL $ Target
0.38 % 8.49 $
PNL PNL %
-8.49 $ -0.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3864 % 102.49 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2107
            [entry_price] => 0.2122
            [stop_loss] => 0.21308
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2107
            [entry_price] => 0.2122
            [stop_loss] => 0.21316
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2107
            [entry_price] => 0.2122
            [stop_loss] => 0.21324
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2107
            [entry_price] => 0.2122
            [stop_loss] => 0.2134
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00042999999999999
            [max_drawdown] => 0.00511
            [rr_ratio] => 0.08
            [high] => 0.21731000
            [low] => 0.21177000
            [mfe_pct] => 0.2
            [mae_pct] => 2.41
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:04:36-04:00
            [end_at] => 2025-09-30T17:04:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00042999999999999
            [max_drawdown] => 0.0056
            [rr_ratio] => 0.08
            [high] => 0.21780000
            [low] => 0.21177000
            [mfe_pct] => 0.2
            [mae_pct] => 2.64
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:04:36-04:00
            [end_at] => 2025-09-30T22:04:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21292000
            [high_after] => 0.21780000
            [low_before] => 0.20909000
            [low_after] => 0.21177000
            [is_new_high] => 
            [is_new_low] => 
        )

)