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Long Trade on TRX

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Long Trade on TRX 03 Jan 2026 at 22:59:03

Take profit at 0.2953 (0.1 %) and Stop Loss at 0.2948 (0.068 %)

Long Trade on TRX

The 03 Jan 2026 at 22:59:03

With 46799.6527 TRX at 0.295$ per unit.

Position size of 13805.8975 $

Take profit at 0.2953 (0.1 %) and Stop Loss at 0.2948 (0.068 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
0 0.71
Prediction 3 Probability
0 0.9
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_low

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : -0.170771

15m : 0.119581

1H : 0.000135

 2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0001139609597
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 0.29462
  4. ema21 : 0.292788
  5. ema50 : 0.290079
  6. ema100 : 0.288222
  7. price_ema9_diff : 0.00128935
  8. ema9_ema21_diff : 0.00625728
  9. ema21_ema50_diff : 0.00933781
  10. price_ema100_diff : 0.0235149
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : 0.138829
  14. ema_slope_21 : 0.117141
  15. ema_slope_50 : 0.0792944
  16. ema_slope_100 : 0.0491319
  17. rsi : 0.768069
  18. adx : 0.57336
  19. kc_percentage : 1.20021
  20. kc_width_percentage : 0.0100472
  21. volume_ema_diff : -0.356057
  22. volume_ema1 : 120527.55312947
  23. volume_ema2 : 187171.31418179
  24. chop : 27.6532
  25. regime : bull_low
    26. ¸
  26. 15m
  27. ema9 : 0.295235
  28. ema21 : 0.295073
  29. ema50 : 0.293973
  30. ema100 : 0.29247
  31. price_ema9_diff : -0.00079702
  32. ema9_ema21_diff : 0.000549717
  33. ema21_ema50_diff : 0.00374063
  34. price_ema100_diff : 0.00864977
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00111879
  38. ema_slope_21 : 0.0130904
  39. ema_slope_50 : 0.023425
  40. ema_slope_100 : 0.0220693
  41. rsi : 0.521432
  42. adx : 0.441578
  43. kc_percentage : 0.410135
  44. kc_width_percentage : 0.00377726
  45. volume_ema_diff : -0.854703
  46. volume_ema1 : 6294.6618736971
  47. volume_ema2 : 43322.85833632
  48. chop : 68.1763
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.295126
  52. ema21 : 0.295228
  53. ema50 : 0.295201
  54. ema100 : 0.294908
  55. price_ema9_diff : -0.000428297
  56. ema9_ema21_diff : -0.00034513
  57. ema21_ema50_diff : 9.07371E-5
  58. price_ema100_diff : 0.000310697
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : -0.00581319
  62. ema_slope_21 : -0.00357504
  63. ema_slope_50 : -4.47163E-5
  64. ema_slope_100 : 0.00231435
  65. rsi : 0.392501
  66. adx : 0.169371
  67. kc_percentage : -0.0276986
  68. kc_width_percentage : 0.00143527
  69. volume_ema_diff : -0.871316
  70. volume_ema1 : 1033.3780880491
  71. volume_ema2 : 8030.355727089
  72. chop : 35.1664
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90836.7
  77. 5m_price_ema100_diff: 
    0.00399847
  78. 5m_price: 
    91200
  79. 5m_correlation_with_coin: 
    -0.170771
  80. btc_indicators
  81. 15m_ema100: 
    90408.8
  82. 15m_price_ema100_diff: 
    0.00930023
  83. 15m_price: 
    91249.7
  84. 15m_correlation_with_coin: 
    0.119581
  85. btc_indicators
  86. 1H_ema100: 
    89341.4
  87. 1H_price_ema100_diff: 
    0.020803
  88. 1H_price: 
    91200
  89. 1H_correlation_with_coin: 
    0.000135
    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] => 2025-12-31 09:00:00
                    [1] => 0.28197
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-12-31 18:00:00
                    [1] => 0.28475
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-12-31 23:00:00
                    [1] => 0.28333
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2026-01-01 06:00:00
                    [1] => 0.28553
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2026-01-01 09:00:00
                    [1] => 0.28367
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2026-01-01 19:00:00
                    [1] => 0.28732
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-02 04:00:00
                    [1] => 0.28424
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2026-01-02 19:00:00
                    [1] => 0.29071
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-03 00:00:00
                    [1] => 0.28759
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2026-01-03 19:00:00
                    [1] => 0.29598
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.33110345293602
            [ms_dist_from_last_low_pct] => 2.5765847213046
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 22
            [ms_last_swing_amplitude_pct] => 2.9173476129212
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [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] => 2026-01-02 22:00:00
                    [1] => 0.28925
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-03 00:30:00
                    [1] => 0.28759
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-03 01:45:00
                    [1] => 0.28898
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-03 02:30:00
                    [1] => 0.28783
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2026-01-03 04:15:00
                    [1] => 0.28867
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2026-01-03 04:45:00
                    [1] => 0.28781
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2026-01-03 19:00:00
                    [1] => 0.29598
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-03 22:00:00
                    [1] => 0.2957
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2026-01-03 22:45:00
                    [1] => 0.29497
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.23672641190397
            [ms_dist_from_last_low_pct] => 0.010170525816176
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.2474827948605
            [ms_bos_up] => 0
            [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] => 2026-01-03 19:05:00
                    [1] => 0.29598
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2026-01-03 19:10:00
                    [1] => 0.29484
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2026-01-03 19:45:00
                    [1] => 0.29559
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2026-01-03 20:20:00
                    [1] => 0.29516
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2026-01-03 20:40:00
                    [1] => 0.29557
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2026-01-03 20:50:00
                    [1] => 0.29557
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2026-01-03 21:00:00
                    [1] => 0.29557
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2026-01-03 21:35:00
                    [1] => 0.29508
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2026-01-03 22:05:00
                    [1] => 0.2957
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2026-01-03 22:45:00
                    [1] => 0.29497
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.23672641190397
            [ms_dist_from_last_low_pct] => 0.010170525816176
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 0.2474827948605
            [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
-0.24%
Dist From Last Low Pct
0.01%
Bars Since Swing High
10 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
0.25%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.01%
TP to Pivot Distance
0.0007
0.23%
DateTime Price Type
2026-01-03 19:05:00 0.29598 ↑ High
2026-01-03 19:10:00 0.29484 ↓ Low
2026-01-03 19:45:00 0.29559 ↑ High
2026-01-03 20:20:00 0.29516 ↓ Low
2026-01-03 20:40:00 0.29557 ↑ High
2026-01-03 20:50:00 0.29557 ↑ High
2026-01-03 21:00:00 0.29557 ↑ High
2026-01-03 21:35:00 0.29508 ↓ Low
2026-01-03 22:05:00 0.2957 ↑ High
2026-01-03 22:45:00 0.29497 ↓ Low
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.24%
Dist From Last Low Pct
0.01%
Bars Since Swing High
3 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.25%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0072
2.45%
TP to Pivot Distance
0.0007
0.23%
DateTime Price Type
2026-01-02 22:00:00 0.28925 ↑ High
2026-01-03 00:30:00 0.28759 ↓ Low
2026-01-03 01:45:00 0.28898 ↑ High
2026-01-03 02:30:00 0.28783 ↓ Low
2026-01-03 04:15:00 0.28867 ↑ High
2026-01-03 04:45:00 0.28781 ↓ Low
2026-01-03 19:00:00 0.29598 ↑ High
2026-01-03 22:00:00 0.2957 ↑ High
2026-01-03 22:45:00 0.29497 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.33%
Dist From Last Low Pct
2.58%
Bars Since Swing High
3 bars
Bars Since Swing Low
22 bars
Last Swing Amplitude Pct
2.92%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0128
4.35%
TP to Pivot Distance
0.0007
0.23%
DateTime Price Type
2025-12-31 09:00:00 0.28197 ↓ Low
2025-12-31 18:00:00 0.28475 ↑ High
2025-12-31 23:00:00 0.28333 ↓ Low
2026-01-01 06:00:00 0.28553 ↑ High
2026-01-01 09:00:00 0.28367 ↓ Low
2026-01-01 19:00:00 0.28732 ↑ High
2026-01-02 04:00:00 0.28424 ↓ Low
2026-01-02 19:00:00 0.29071 ↑ High
2026-01-03 00:00:00 0.28759 ↓ Low
2026-01-03 19:00:00 0.29598 ↑ High

📌 Time Data

Start at Closed at Duration
03 Jan 2026
22:59:03		 03 Jan 2026
23:20:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.295 0.2948 0.2953 1.5 0.2788
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 0.295
  • Stop Loss: 0.2948
  • Take Profit: 0.2953

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2948 - 0.295 = -0.00019999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.295 - 0.2953 = -0.00030000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00030000000000002 / -0.00019999999999998 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
13805.8975 100 46799.6527 138.06
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 -0.00019999999999998

Taille de position = 8 / -0.00019999999999998 = -40000

Taille de position USD = -40000 x 0.295 = -11800

Donc, tu peux acheter -40000 avec un stoploss a 0.2948

Avec un position size USD de -11800$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.00019999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.00030000000000002 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -40000
  • Taille de position USD -11800
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.1 % 14.04 $
SL % Target SL $ Target
0.068 % 9.36 $
PNL PNL %
-9.36 $ -0.07
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2034 % 300 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2953
            [entry_price] => 0.295
            [stop_loss] => 0.29478
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2026-01-03 23:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2953
            [entry_price] => 0.295
            [stop_loss] => 0.29476
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2026-01-03 23:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2953
            [entry_price] => 0.295
            [stop_loss] => 0.29474
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2026-01-03 23:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2953
            [entry_price] => 0.295
            [stop_loss] => 0.2947
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2026-01-03 23:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00112
            [rr_ratio] => 0
            [high] => 0.29500000
            [low] => 0.29388000
            [mfe_pct] => 0
            [mae_pct] => 0.38
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2026-01-03T22:59:03-05:00
            [end_at] => 2026-01-04T00:59:03-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00173
            [rr_ratio] => 0
            [high] => 0.29500000
            [low] => 0.29327000
            [mfe_pct] => 0
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 84
            [start_at] => 2026-01-03T22:59:03-05:00
            [end_at] => 2026-01-04T05:59:03-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29598000
            [high_after] => 0.29500000
            [low_before] => 0.29484000
            [low_after] => 0.29356000
            [is_new_high] => 
            [is_new_low] => 
        )

)