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Short Trade on HUMA

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Short Trade on HUMA 16 Oct 2025 at 20:10:35

Take profit at 0.02812 (0.99 %) and Stop Loss at 0.02854 (0.49 %)

Short Trade on HUMA

The 16 Oct 2025 at 20:10:35

With 56542.0403 HUMA at 0.0284$ per unit.

Position size of 1605.7939 $

Take profit at 0.02812 (0.99 %) and Stop Loss at 0.02854 (0.49 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.49
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.96
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.714266

15m : -0.02707

1H : -0.013633

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 9.432509512E-5
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0284958
  4. ema21 : 0.0289311
  5. ema50 : 0.0293679
  6. ema100 : 0.0295645
  7. price_ema9_diff : -0.00336275
  8. ema9_ema21_diff : -0.0150464
  9. ema21_ema50_diff : -0.0148753
  10. price_ema100_diff : -0.039391
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.329948
  14. ema_slope_21 : -0.211222
  15. ema_slope_50 : -0.119208
  16. ema_slope_100 : -0.0645374
  17. rsi : 0.408607
  18. adx : 0.247907
  19. kc_percentage : 0.293294
  20. kc_width_percentage : 0.0859885
  21. volume_ema_diff : -0.569584
  22. volume_ema1 : 59967.231140092
  23. volume_ema2 : 139324.14580272
  24. chop : 43.0036
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0281853
  28. ema21 : 0.0282968
  29. ema50 : 0.0286955
  30. ema100 : 0.0290115
  31. price_ema9_diff : 0.00761629
  32. ema9_ema21_diff : -0.00394016
  33. ema21_ema50_diff : -0.0138939
  34. price_ema100_diff : -0.0210808
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0222612
  38. ema_slope_21 : -0.0936191
  39. ema_slope_50 : -0.099174
  40. ema_slope_100 : -0.0680606
  41. rsi : 0.502641
  42. adx : 0.414012
  43. kc_percentage : 0.632634
  44. kc_width_percentage : 0.0313765
  45. volume_ema_diff : -0.741704
  46. volume_ema1 : 10176.092958432
  47. volume_ema2 : 39397.137720671
  48. chop : 77.9614
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0282699
  52. ema21 : 0.0281956
  53. ema50 : 0.0282341
  54. ema100 : 0.028428
  55. price_ema9_diff : 0.00459967
  56. ema9_ema21_diff : 0.00263541
  57. ema21_ema50_diff : -0.00136216
  58. price_ema100_diff : -0.000987819
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0718747
  62. ema_slope_21 : 0.0373054
  63. ema_slope_50 : 0.00133815
  64. ema_slope_100 : -0.0151461
  65. rsi : 0.642019
  66. adx : 0.166504
  67. kc_percentage : 1.05778
  68. kc_width_percentage : 0.0127186
  69. volume_ema_diff : -0.41845
  70. volume_ema1 : 3067.9762991188
  71. volume_ema2 : 5275.5233875348
  72. chop : 42.8416
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108124
  77. 5m_price_ema100_diff: 
    0.000242222
  78. 5m_price: 
    108150
  79. 5m_correlation_with_coin: 
    0.714266
  80. btc_indicators
  81. 15m_ema100: 
    109544
  82. 15m_price_ema100_diff: 
    -0.012725
  83. 15m_price: 
    108150
  84. 15m_correlation_with_coin: 
    -0.02707
  85. btc_indicators
  86. 1H_ema100: 
    111768
  87. 1H_price_ema100_diff: 
    -0.0323705
  88. 1H_price: 
    108150
  89. 1H_correlation_with_coin: 
    -0.013633
    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] => 2025-10-14 02:00:00
                    [1] => 0.02819
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-14 12:00:00
                    [1] => 0.03091
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-14 15:00:00
                    [1] => 0.02946
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-15 05:00:00
                    [1] => 0.03153
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 09:00:00
                    [1] => 0.0291
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.02855
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 01:00:00
                    [1] => 0.03045
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.02861
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 09:00:00
                    [1] => 0.03082
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.02785
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -7.6249188838417
            [ms_dist_from_last_low_pct] => 2.2262118491921
            [ms_bars_since_swing_high] => 11
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 10.664272890485
            [ms_bos_up] => 1
            [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] => 2025-10-16 00:45:00
                    [1] => 0.02928
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 01:30:00
                    [1] => 0.03045
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.02861
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 05:45:00
                    [1] => 0.03
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 07:45:00
                    [1] => 0.02936
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 09:15:00
                    [1] => 0.03082
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 11:30:00
                    [1] => 0.03029
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 16:30:00
                    [1] => 0.02792
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.02785
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 20:00:00
                    [1] => 0.02848
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.03511235955056
            [ms_dist_from_last_low_pct] => 2.2262118491921
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 2.262118491921
            [ms_bos_up] => 0
            [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] => 2025-10-16 14:40:00
                    [1] => 0.02896
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 15:35:00
                    [1] => 0.02798
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 16:35:00
                    [1] => 0.02792
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 17:05:00
                    [1] => 0.02794
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 17:35:00
                    [1] => 0.02827
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.02827
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.02785
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 19:20:00
                    [1] => 0.02829
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 19:45:00
                    [1] => 0.02807
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 20:10:00
                    [1] => 0.02848
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.03511235955056
            [ms_dist_from_last_low_pct] => 1.4250089063057
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 5
            [ms_last_swing_amplitude_pct] => 1.4606341289633
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.04%
Dist From Last Low Pct
1.43%
Bars Since Swing High
0 bars
Bars Since Swing Low
5 bars
Last Swing Amplitude Pct
1.46%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
1.47%
TP to Pivot Distance
0.0003
0.96%
DateTime Price Type
2025-10-16 14:40:00 0.02896 ↑ High
2025-10-16 15:35:00 0.02798 ↓ Low
2025-10-16 16:35:00 0.02792 ↓ Low
2025-10-16 17:05:00 0.02794 ↓ Low
2025-10-16 17:35:00 0.02827 ↑ High
2025-10-16 18:00:00 0.02827 ↑ High
2025-10-16 19:00:00 0.02785 ↓ Low
2025-10-16 19:20:00 0.02829 ↑ High
2025-10-16 19:45:00 0.02807 ↓ Low
2025-10-16 20:10:00 0.02848 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.04%
Dist From Last Low Pct
2.23%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
2.26%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0023
7.99%
TP to Pivot Distance
0.0003
0.96%
DateTime Price Type
2025-10-16 00:45:00 0.02928 ↓ Low
2025-10-16 01:30:00 0.03045 ↑ High
2025-10-16 05:30:00 0.02861 ↓ Low
2025-10-16 05:45:00 0.03 ↑ High
2025-10-16 07:45:00 0.02936 ↓ Low
2025-10-16 09:15:00 0.03082 ↑ High
2025-10-16 11:30:00 0.03029 ↑ High
2025-10-16 16:30:00 0.02792 ↓ Low
2025-10-16 19:00:00 0.02785 ↓ Low
2025-10-16 20:00:00 0.02848 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-7.62%
Dist From Last Low Pct
2.23%
Bars Since Swing High
11 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
10.66%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0030
10.48%
TP to Pivot Distance
0.0003
0.96%
DateTime Price Type
2025-10-14 02:00:00 0.02819 ↓ Low
2025-10-14 12:00:00 0.03091 ↑ High
2025-10-14 15:00:00 0.02946 ↓ Low
2025-10-15 05:00:00 0.03153 ↑ High
2025-10-15 09:00:00 0.0291 ↓ Low
2025-10-15 16:00:00 0.02855 ↓ Low
2025-10-16 01:00:00 0.03045 ↑ High
2025-10-16 05:00:00 0.02861 ↓ Low
2025-10-16 09:00:00 0.03082 ↑ High
2025-10-16 19:00:00 0.02785 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
20:10:35		 16 Oct 2025
20:20:00		 9 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0284 0.02854 0.02812 2 0.01131
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 0.0284
  • Stop Loss: 0.02854
  • Take Profit: 0.02812

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02854 - 0.0284 = 0.00014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0284 - 0.02812 = 0.00028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00028 / 0.00014 = 2

📌 Position Size

Amount Margin Quantity Leverage
1605.7939 100 56542.0403 16.06
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 0.00014

Taille de position = 8 / 0.00014 = 57142.86

Taille de position USD = 57142.86 x 0.0284 = 1622.86

Donc, tu peux acheter 57142.86 avec un stoploss a 0.02854

Avec un position size USD de 1622.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57142.86 x 0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57142.86 x 0.00028 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 57142.86
  • Taille de position USD 1622.86
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.99 % 15.83 $
SL % Target SL $ Target
0.49 % 7.92 $
PNL PNL %
-7.92 $ -0.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5282 % 107.14 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02812
            [entry_price] => 0.0284
            [stop_loss] => 0.028554
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02812
            [entry_price] => 0.0284
            [stop_loss] => 0.028568
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02812
            [entry_price] => 0.0284
            [stop_loss] => 0.028582
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02812
            [entry_price] => 0.0284
            [stop_loss] => 0.02861
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 20:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00017
            [max_drawdown] => 0.00033
            [rr_ratio] => 0.52
            [high] => 0.02873000
            [low] => 0.02823000
            [mfe_pct] => 0.6
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T20:10:35-04:00
            [end_at] => 2025-10-16T22:10:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00178
            [max_drawdown] => 0.00033
            [rr_ratio] => 5.39
            [high] => 0.02873000
            [low] => 0.02662000
            [mfe_pct] => 6.27
            [mae_pct] => 1.16
            [mfe_mae_ratio] => 5.39
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T20:10:35-04:00
            [end_at] => 2025-10-17T03:10:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02848000
            [high_after] => 0.02873000
            [low_before] => 0.02785000
            [low_after] => 0.02806000
            [is_new_high] => 
            [is_new_low] => 
        )

)