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Short Trade on TRX

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Short Trade on TRX 30 Oct 2025 at 17:06:06

Take profit at 0.2894 (0.52 %) and Stop Loss at 0.2917 (0.28 %)

Short Trade on TRX

The 30 Oct 2025 at 17:06:06

With 10495.5299 TRX at 0.2909$ per unit.

Position size of 3053.3595 $

Take profit at 0.2894 (0.52 %) and Stop Loss at 0.2917 (0.28 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.23
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.95
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.91
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.762626

15m : 0.063556

1H : 0.072232

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0005081528431
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.291198
  4. ema21 : 0.292877
  5. ema50 : 0.294755
  6. ema100 : 0.296204
  7. price_ema9_diff : -0.000957958
  8. ema9_ema21_diff : -0.00573278
  9. ema21_ema50_diff : -0.00637142
  10. price_ema100_diff : -0.0178408
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.144474
  14. ema_slope_21 : -0.0965966
  15. ema_slope_50 : -0.0556654
  16. ema_slope_100 : -0.0346515
  17. rsi : 0.417082
  18. adx : 0.425334
  19. kc_percentage : 0.248059
  20. kc_width_percentage : 0.0252688
  21. volume_ema_diff : -0.411249
  22. volume_ema1 : 166094.60012497
  23. volume_ema2 : 282113.78365799
  24. chop : 36.3013
  25. regime : bear_medium
    26. ¸
  26. 15m
  27. ema9 : 0.290048
  28. ema21 : 0.290519
  29. ema50 : 0.292012
  30. ema100 : 0.293452
  31. price_ema9_diff : 0.00300304
  32. ema9_ema21_diff : -0.00161997
  33. ema21_ema50_diff : -0.00511315
  34. price_ema100_diff : -0.00863026
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.037502
  38. ema_slope_21 : -0.0427198
  39. ema_slope_50 : -0.0389813
  40. ema_slope_100 : -0.0282144
  41. rsi : 0.504853
  42. adx : 0.405878
  43. kc_percentage : 0.614669
  44. kc_width_percentage : 0.0136174
  45. volume_ema_diff : -0.314556
  46. volume_ema1 : 44140.162119209
  47. volume_ema2 : 64396.543043504
  48. chop : 50.1839
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.290234
  52. ema21 : 0.289895
  53. ema50 : 0.290175
  54. ema100 : 0.290706
  55. price_ema9_diff : 0.00236241
  56. ema9_ema21_diff : 0.00116928
  57. ema21_ema50_diff : -0.000966123
  58. price_ema100_diff : 0.000732827
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0350126
  62. ema_slope_21 : 0.00968233
  63. ema_slope_50 : -0.00446312
  64. ema_slope_100 : -0.0064528
  65. rsi : 0.638514
  66. adx : 0.240168
  67. kc_percentage : 1.01557
  68. kc_width_percentage : 0.00679887
  69. volume_ema_diff : -0.514514
  70. volume_ema1 : 9095.9125530958
  71. volume_ema2 : 18735.705312548
  72. chop : 37.3831
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107454
  77. 5m_price_ema100_diff: 
    -0.000153525
  78. 5m_price: 
    107437
  79. 5m_correlation_with_coin: 
    0.762626
  80. btc_indicators
  81. 15m_ema100: 
    109009
  82. 15m_price_ema100_diff: 
    -0.0144225
  83. 15m_price: 
    107437
  84. 15m_correlation_with_coin: 
    0.063556
  85. btc_indicators
  86. 1H_ema100: 
    111760
  87. 1H_price_ema100_diff: 
    -0.0386774
  88. 1H_price: 
    107437
  89. 1H_correlation_with_coin: 
    0.072232
    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] => 2025-10-27 14:00:00
                    [1] => 0.30036
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-27 19:00:00
                    [1] => 0.2973
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-28 02:00:00
                    [1] => 0.295
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 10:00:00
                    [1] => 0.29969
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.29263
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 04:00:00
                    [1] => 0.29824
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.2901
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.29823
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 01:00:00
                    [1] => 0.29316
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 0.28801
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -2.3740066391711
            [ms_dist_from_last_low_pct] => 1.0902399222249
            [ms_bars_since_swing_high] => 19
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 1.7881323565154
            [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] => 2025-10-29 20:00:00
                    [1] => 0.2954
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 22:30:00
                    [1] => 0.29823
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-30 01:00:00
                    [1] => 0.29316
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 03:30:00
                    [1] => 0.29762
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 05:30:00
                    [1] => 0.29547
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 06:30:00
                    [1] => 0.29674
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 09:30:00
                    [1] => 0.28961
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 12:00:00
                    [1] => 0.29306
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 0.28801
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 17:00:00
                    [1] => 0.29119
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.013736735464811
            [ms_dist_from_last_low_pct] => 1.0902399222249
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.1041283288775
            [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] => 2025-10-30 09:35:00
                    [1] => 0.28961
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-30 11:00:00
                    [1] => 0.2924
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-30 11:45:00
                    [1] => 0.29093
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 12:10:00
                    [1] => 0.29306
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 13:35:00
                    [1] => 0.28985
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 13:45:00
                    [1] => 0.29159
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.2894
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 15:05:00
                    [1] => 0.29046
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 16:00:00
                    [1] => 0.28801
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 17:05:00
                    [1] => 0.29119
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.013736735464811
            [ms_dist_from_last_low_pct] => 1.0902399222249
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 1.1041283288775
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

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
1.09%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
1.10%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0014
0.47%
TP to Pivot Distance
0.0014
0.48%
DateTime Price Type
2025-10-30 09:35:00 0.28961 ↓ Low
2025-10-30 11:00:00 0.2924 ↑ High
2025-10-30 11:45:00 0.29093 ↓ Low
2025-10-30 12:10:00 0.29306 ↑ High
2025-10-30 13:35:00 0.28985 ↓ Low
2025-10-30 13:45:00 0.29159 ↑ High
2025-10-30 15:00:00 0.2894 ↓ Low
2025-10-30 15:05:00 0.29046 ↑ High
2025-10-30 16:00:00 0.28801 ↓ Low
2025-10-30 17:05:00 0.29119 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.01%
Dist From Last Low Pct
1.09%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.10%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0065
2.24%
TP to Pivot Distance
0.0014
0.48%
DateTime Price Type
2025-10-29 20:00:00 0.2954 ↓ Low
2025-10-29 22:30:00 0.29823 ↑ High
2025-10-30 01:00:00 0.29316 ↓ Low
2025-10-30 03:30:00 0.29762 ↑ High
2025-10-30 05:30:00 0.29547 ↓ Low
2025-10-30 06:30:00 0.29674 ↑ High
2025-10-30 09:30:00 0.28961 ↓ Low
2025-10-30 12:00:00 0.29306 ↑ High
2025-10-30 16:00:00 0.28801 ↓ Low
2025-10-30 17:00:00 0.29119 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-2.37%
Dist From Last Low Pct
1.09%
Bars Since Swing High
19 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
1.79%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0087
2.97%
TP to Pivot Distance
0.0014
0.48%
DateTime Price Type
2025-10-27 14:00:00 0.30036 ↑ High
2025-10-27 19:00:00 0.2973 ↓ Low
2025-10-28 02:00:00 0.295 ↓ Low
2025-10-28 10:00:00 0.29969 ↑ High
2025-10-28 17:00:00 0.29263 ↓ Low
2025-10-29 04:00:00 0.29824 ↑ High
2025-10-29 14:00:00 0.2901 ↓ Low
2025-10-29 22:00:00 0.29823 ↑ High
2025-10-30 01:00:00 0.29316 ↓ Low
2025-10-30 16:00:00 0.28801 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Oct 2025
17:06:06		 30 Oct 2025
18:00:00		 53 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2909 0.2917 0.2894 1.87 0.285
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 0.2909
  • Stop Loss: 0.2917
  • Take Profit: 0.2894

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2917 - 0.2909 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2909 - 0.2894 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00080000000000002 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
3053.3595 100 10495.5299 30.53
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.2909 = 2909

Donc, tu peux acheter 10000 avec un stoploss a 0.2917

Avec un position size USD de 2909$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 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 2909
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.52 % 15.74 $
SL % Target SL $ Target
0.28 % 8.4 $
PNL PNL %
-8.4 $ -0.28
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3506 % 127.49 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2894
            [entry_price] => 0.2909
            [stop_loss] => 0.29178
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 18:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2894
            [entry_price] => 0.2909
            [stop_loss] => 0.29186
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 18:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2894
            [entry_price] => 0.2909
            [stop_loss] => 0.29194
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 18:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2894
            [entry_price] => 0.2909
            [stop_loss] => 0.2921
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 18:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999997
            [max_drawdown] => 0.00128
            [rr_ratio] => 0.23
            [high] => 0.29218000
            [low] => 0.29060000
            [mfe_pct] => 0.1
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T17:06:06-04:00
            [end_at] => 2025-10-30T19:06:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00029999999999997
            [max_drawdown] => 0.00364
            [rr_ratio] => 0.08
            [high] => 0.29454000
            [low] => 0.29060000
            [mfe_pct] => 0.1
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T17:06:06-04:00
            [end_at] => 2025-10-31T00:06:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29175000
            [high_after] => 0.29407000
            [low_before] => 0.28801000
            [low_after] => 0.29060000
            [is_new_high] => 
            [is_new_low] => 
        )

)