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Short Trade on HBAR

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Short Trade on HBAR 30 Sep 2025 at 15:24:15

Take profit at 0.2111 (0.71 %) and Stop Loss at 0.2133 (0.33 %)

Short Trade on HBAR

The 30 Sep 2025 at 15:24:15

With 10895.9423 HBAR at 0.2126$ per unit.

Position size of 2316.2594 $

Take profit at 0.2111 (0.71 %) and Stop Loss at 0.2133 (0.33 %)

That's a 2.14 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
1 0.53
Prediction 3 Probability
1 0.72
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 : 0.687011

15m : 0.091005

1H : -0.137608

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0004894788511
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.212134
  4. ema21 : 0.213214
  5. ema50 : 0.213831
  6. ema100 : 0.213596
  7. price_ema9_diff : 0.00210086
  8. ema9_ema21_diff : -0.00506797
  9. ema21_ema50_diff : -0.0028843
  10. price_ema100_diff : -0.00475817
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.125196
  14. ema_slope_21 : -0.0913067
  15. ema_slope_50 : -0.0384272
  16. ema_slope_100 : -0.0140562
  17. rsi : 0.462761
  18. adx : 0.24359
  19. kc_percentage : 0.422565
  20. kc_width_percentage : 0.0346803
  21. volume_ema_diff : 0.234317
  22. volume_ema1 : 1588115.5746298
  23. volume_ema2 : 1286634.8177041
  24. chop : 47.118
  25. regime : range_high
    26. ¸
  26. 15m
  27. ema9 : 0.211412
  28. ema21 : 0.211522
  29. ema50 : 0.212474
  30. ema100 : 0.213513
  31. price_ema9_diff : 0.00552135
  32. ema9_ema21_diff : -0.000517284
  33. ema21_ema50_diff : -0.00448444
  34. price_ema100_diff : -0.00437129
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00620655
  38. ema_slope_21 : -0.0316638
  39. ema_slope_50 : -0.0347074
  40. ema_slope_100 : -0.0265872
  41. rsi : 0.524082
  42. adx : 0.203083
  43. kc_percentage : 0.798519
  44. kc_width_percentage : 0.0171213
  45. volume_ema_diff : -0.202396
  46. volume_ema1 : 327498.2999956
  47. volume_ema2 : 410602.64890981
  48. chop : 56.8887
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.211955
  52. ema21 : 0.211465
  53. ema50 : 0.211366
  54. ema100 : 0.211732
  55. price_ema9_diff : 0.00294422
  56. ema9_ema21_diff : 0.00232071
  57. ema21_ema50_diff : 0.000465372
  58. price_ema100_diff : 0.00400432
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0595186
  62. ema_slope_21 : 0.0393889
  63. ema_slope_50 : 0.0120549
  64. ema_slope_100 : 0.00112013
  65. rsi : 0.658998
  66. adx : 0.24949
  67. kc_percentage : 1.07862
  68. kc_width_percentage : 0.00885845
  69. volume_ema_diff : -0.500989
  70. volume_ema1 : 84068.329051275
  71. volume_ema2 : 168470.01162997
  72. chop : 50.4115
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113196
  77. 5m_price_ema100_diff: 
    0.00644645
  78. 5m_price: 
    113926
  79. 5m_correlation_with_coin: 
    0.687011
  80. btc_indicators
  81. 15m_ema100: 
    113534
  82. 15m_price_ema100_diff: 
    0.00209234
  83. 15m_price: 
    113772
  84. 15m_correlation_with_coin: 
    0.091005
  85. btc_indicators
  86. 1H_ema100: 
    111767
  87. 1H_price_ema100_diff: 
    0.0193187
  88. 1H_price: 
    113926
  89. 1H_correlation_with_coin: 
    -0.137608
    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] => -0.86705202312139
            [ms_dist_from_last_low_pct] => 1.7073987278206
            [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 15:15:00
                    [1] => 0.21268
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0094037991348599
            [ms_dist_from_last_low_pct] => 1.7073987278206
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.7169639867999
            [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 15:20:00
                    [1] => 0.21268
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.0094037991348599
            [ms_dist_from_last_low_pct] => 1.7073987278206
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 16
            [ms_last_swing_amplitude_pct] => 1.7169639867999
            [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
-0.01%
Dist From Last Low Pct
1.71%
Bars Since Swing High
0 bars
Bars Since Swing Low
16 bars
Last Swing Amplitude Pct
1.72%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0012
0.57%
TP to Pivot Distance
0.0020
0.95%
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 15:20:00 0.21268 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.01%
Dist From Last Low Pct
1.71%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.72%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0047
2.18%
TP to Pivot Distance
0.0020
0.95%
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 15:15:00 0.21268 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.87%
Dist From Last Low Pct
1.71%
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
0.0068
3.20%
TP to Pivot Distance
0.0037
1.77%
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
15:24:15		 30 Sep 2025
15:30:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2126 0.2133 0.2111 2.14 0.1011
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 0.2126
  • Stop Loss: 0.2133
  • Take Profit: 0.2111

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2133 - 0.2126 = 0.00069999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2126 - 0.2111 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00069999999999998 = 2.1429

📌 Position Size

Amount Margin Quantity Leverage
2316.2594 100 10895.9423 23.16
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 0.00069999999999998

Taille de position = 8 / 0.00069999999999998 = 11428.57

Taille de position USD = 11428.57 x 0.2126 = 2429.71

Donc, tu peux acheter 11428.57 avec un stoploss a 0.2133

Avec un position size USD de 2429.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00069999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0015 = 17.14

Si Take Profit atteint, tu gagneras 17.14$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 2429.71
  • Perte potentielle 8
  • Gain potentiel 17.14
  • Risk-Reward Ratio 2.1429

📌 Peformances

TP % Target TP $ Target
0.71 % 16.34 $
SL % Target SL $ Target
0.33 % 7.63 $
PNL PNL %
-7.63 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4233 % 128.55 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2111
            [entry_price] => 0.2126
            [stop_loss] => 0.21337
            [rr_ratio] => 1.95
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2111
            [entry_price] => 0.2126
            [stop_loss] => 0.21344
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2111
            [entry_price] => 0.2126
            [stop_loss] => 0.21351
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2111
            [entry_price] => 0.2126
            [stop_loss] => 0.21365
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.000000000001E-5
            [max_drawdown] => 0.0052
            [rr_ratio] => 0
            [high] => 0.21780000
            [low] => 0.21259000
            [mfe_pct] => 0
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:24:15-04:00
            [end_at] => 2025-09-30T17:24:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.000000000001E-5
            [max_drawdown] => 0.0052
            [rr_ratio] => 0
            [high] => 0.21780000
            [low] => 0.21259000
            [mfe_pct] => 0
            [mae_pct] => 2.45
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:24:15-04:00
            [end_at] => 2025-09-30T22:24:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.21268000
            [high_after] => 0.21780000
            [low_before] => 0.20909000
            [low_after] => 0.21259000
            [is_new_high] => 
            [is_new_low] => 
        )

)