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Short Trade on TRX

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Short Trade on TRX 17 Oct 2025 at 20:33:37

Take profit at 0.309 (0.29 %) and Stop Loss at 0.3103 (0.13 %)

Short Trade on TRX

The 17 Oct 2025 at 20:33:37

With 19347.5965 TRX at 0.3099$ per unit.

Position size of 5995.0463 $

Take profit at 0.309 (0.29 %) and Stop Loss at 0.3103 (0.13 %)

That's a 2.25 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.24
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.99
Prediction 2 Probability
0 0.88
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : neutral

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 : 0.707126

15m : -0.020218

1H : -0.028669

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0002756587018
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 0.309047
  4. ema21 : 0.310054
  5. ema50 : 0.312941
  6. ema100 : 0.315535
  7. price_ema9_diff : 0.00262937
  8. ema9_ema21_diff : -0.00324685
  9. ema21_ema50_diff : -0.0092253
  10. price_ema100_diff : -0.0179858
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0241412
  14. ema_slope_21 : -0.0755523
  15. ema_slope_50 : -0.0707179
  16. ema_slope_100 : -0.0497893
  17. rsi : 0.470679
  18. adx : 0.346494
  19. kc_percentage : 0.490668
  20. kc_width_percentage : 0.0253658
  21. volume_ema_diff : -0.618192
  22. volume_ema1 : 216019.70167262
  23. volume_ema2 : 565782.22710646
  24. chop : 60.4678
  25. regime : bear_medium
    26. ¸
  26. 15m
  27. ema9 : 0.309213
  28. ema21 : 0.309036
  29. ema50 : 0.309116
  30. ema100 : 0.310282
  31. price_ema9_diff : 0.00208987
  32. ema9_ema21_diff : 0.000574355
  33. ema21_ema50_diff : -0.000261031
  34. price_ema100_diff : -0.00136143
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.000659211
  38. ema_slope_21 : 0.0058828
  39. ema_slope_50 : 7.81822E-5
  40. ema_slope_100 : -0.00846907
  41. rsi : 0.582404
  42. adx : 0.14127
  43. kc_percentage : 0.835131
  44. kc_width_percentage : 0.00781076
  45. volume_ema_diff : 0.280026
  46. volume_ema1 : 100456.97706652
  47. volume_ema2 : 78480.394065001
  48. chop : 58.8307
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.309281
  52. ema21 : 0.309083
  53. ema50 : 0.309039
  54. ema100 : 0.309067
  55. price_ema9_diff : 0.00187142
  56. ema9_ema21_diff : 0.000640148
  57. ema21_ema50_diff : 0.000141144
  58. price_ema100_diff : 0.00256341
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0127643
  62. ema_slope_21 : 0.00309003
  63. ema_slope_50 : 0.000400852
  64. ema_slope_100 : -0.000208447
  65. rsi : 0.650718
  66. adx : 0.229166
  67. kc_percentage : 1.14463
  68. kc_width_percentage : 0.0038625
  69. volume_ema_diff : 2.95902
  70. volume_ema1 : 82668.571363931
  71. volume_ema2 : 20881.063246426
  72. chop : 9.62977
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106767
  77. 5m_price_ema100_diff: 
    -0.00156844
  78. 5m_price: 
    106600
  79. 5m_correlation_with_coin: 
    0.707126
  80. btc_indicators
  81. 15m_ema100: 
    106764
  82. 15m_price_ema100_diff: 
    -0.00153907
  83. 15m_price: 
    106600
  84. 15m_correlation_with_coin: 
    -0.020218
  85. btc_indicators
  86. 1H_ema100: 
    109892
  87. 1H_price_ema100_diff: 
    -0.0299625
  88. 1H_price: 
    106600
  89. 1H_correlation_with_coin: 
    -0.028669
    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 22:00:00
                    [1] => 0.3185
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 06:00:00
                    [1] => 0.32117
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-15 12:00:00
                    [1] => 0.31117
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.31943
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.32349
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 0.31299
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 0.3178
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 04:00:00
                    [1] => 0.3052
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 10:00:00
                    [1] => 0.30407
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 20:00:00
                    [1] => 0.31058
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.27368149913066
            [ms_dist_from_last_low_pct] => 1.8614134903147
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 2.1409543855033
            [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] => 2025-10-17 05:30:00
                    [1] => 0.30801
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 07:30:00
                    [1] => 0.31067
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 10:30:00
                    [1] => 0.30407
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-17 12:00:00
                    [1] => 0.31023
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-17 13:45:00
                    [1] => 0.30812
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-17 14:00:00
                    [1] => 0.30979
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-17 15:30:00
                    [1] => 0.3073
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-17 17:15:00
                    [1] => 0.31024
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 20:00:00
                    [1] => 0.3084
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 20:15:00
                    [1] => 0.31058
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.27368149913066
            [ms_dist_from_last_low_pct] => 0.43125810635538
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 0.70687418936447
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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] => 2025-10-17 15:15:00
                    [1] => 0.30923
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 15:35:00
                    [1] => 0.3073
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-17 17:15:00
                    [1] => 0.31024
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 18:00:00
                    [1] => 0.30993
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-17 18:35:00
                    [1] => 0.30875
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-17 19:00:00
                    [1] => 0.30907
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-17 19:20:00
                    [1] => 0.30854
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-17 19:35:00
                    [1] => 0.30895
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 20:10:00
                    [1] => 0.3084
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 20:25:00
                    [1] => 0.31058
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.27368149913066
            [ms_dist_from_last_low_pct] => 0.43125810635538
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 0.70687418936447
            [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
-0.27%
Dist From Last Low Pct
0.43%
Bars Since Swing High
1 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
0.71%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
0.09%
TP to Pivot Distance
0.0017
0.55%
DateTime Price Type
2025-10-17 15:15:00 0.30923 ↑ High
2025-10-17 15:35:00 0.3073 ↓ Low
2025-10-17 17:15:00 0.31024 ↑ High
2025-10-17 18:00:00 0.30993 ↑ High
2025-10-17 18:35:00 0.30875 ↓ Low
2025-10-17 19:00:00 0.30907 ↑ High
2025-10-17 19:20:00 0.30854 ↓ Low
2025-10-17 19:35:00 0.30895 ↑ High
2025-10-17 20:10:00 0.3084 ↓ Low
2025-10-17 20:25:00 0.31058 ↑ High
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.27%
Dist From Last Low Pct
0.43%
Bars Since Swing High
1 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
0.71%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0004
0.12%
TP to Pivot Distance
0.0049
1.60%
DateTime Price Type
2025-10-17 05:30:00 0.30801 ↑ High
2025-10-17 07:30:00 0.31067 ↑ High
2025-10-17 10:30:00 0.30407 ↓ Low
2025-10-17 12:00:00 0.31023 ↑ High
2025-10-17 13:45:00 0.30812 ↓ Low
2025-10-17 14:00:00 0.30979 ↑ High
2025-10-17 15:30:00 0.3073 ↓ Low
2025-10-17 17:15:00 0.31024 ↑ High
2025-10-17 20:00:00 0.3084 ↓ Low
2025-10-17 20:15:00 0.31058 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.27%
Dist From Last Low Pct
1.86%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
2.14%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0132
4.25%
TP to Pivot Distance
0.0049
1.60%
DateTime Price Type
2025-10-14 22:00:00 0.3185 ↑ High
2025-10-15 06:00:00 0.32117 ↑ High
2025-10-15 12:00:00 0.31117 ↓ Low
2025-10-16 05:00:00 0.31943 ↓ Low
2025-10-16 08:00:00 0.32349 ↑ High
2025-10-16 16:00:00 0.31299 ↓ Low
2025-10-16 21:00:00 0.3178 ↑ High
2025-10-17 04:00:00 0.3052 ↓ Low
2025-10-17 10:00:00 0.30407 ↓ Low
2025-10-17 20:00:00 0.31058 ↑ High

📌 Time Data

Start at Closed at Duration
17 Oct 2025
20:33:37		 17 Oct 2025
21:25:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3099 0.3103 0.309 2.25 0.2847
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 0.3099
  • Stop Loss: 0.3103
  • Take Profit: 0.309

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3103 - 0.3099 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3099 - 0.309 = 0.00090000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00090000000000001 / 0.00040000000000001 = 2.25

📌 Position Size

Amount Margin Quantity Leverage
5995.0463 100 19347.5965 59.95
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.3099 = 6198

Donc, tu peux acheter 20000 avec un stoploss a 0.3103

Avec un position size USD de 6198$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00090000000000001 = 18

Si Take Profit atteint, tu gagneras 18$

Résumé

  • Taille de position 20000
  • Taille de position USD 6198
  • Perte potentielle 8
  • Gain potentiel 18
  • Risk-Reward Ratio 2.25

📌 Peformances

TP % Target TP $ Target
0.29 % 17.41 $
SL % Target SL $ Target
0.13 % 7.74 $
PNL PNL %
-7.74 $ -0.13
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2001 % 155 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.309
            [entry_price] => 0.3099
            [stop_loss] => 0.31034
            [rr_ratio] => 2.05
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 21:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.309
            [entry_price] => 0.3099
            [stop_loss] => 0.31038
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 21:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.309
            [entry_price] => 0.3099
            [stop_loss] => 0.31042
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 21:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.309
            [entry_price] => 0.3099
            [stop_loss] => 0.3105
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-17 21:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.00203
            [rr_ratio] => 0.2
            [high] => 0.31193000
            [low] => 0.30950000
            [mfe_pct] => 0.13
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T20:33:37-04:00
            [end_at] => 2025-10-17T22:33:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00040000000000001
            [max_drawdown] => 0.003
            [rr_ratio] => 0.13
            [high] => 0.31290000
            [low] => 0.30950000
            [mfe_pct] => 0.13
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T20:33:37-04:00
            [end_at] => 2025-10-18T03:33:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.31058000
            [high_after] => 0.31290000
            [low_before] => 0.30840000
            [low_after] => 0.30950000
            [is_new_high] => 
            [is_new_low] => 
        )

)