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Long Trade on TRX

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Long Trade on TRX 16 Oct 2025 at 09:41:38

Take profit at 0.3221 (0.25 %) and Stop Loss at 0.3209 (0.12 %)

Long Trade on TRX

The 16 Oct 2025 at 09:41:38

With 20113.0863 TRX at 0.3213$ per unit.

Position size of 6462.1335 $

Take profit at 0.3221 (0.25 %) and Stop Loss at 0.3209 (0.12 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.66
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.75
Prediction 2 Probability
1 0.36
Prediction 3 Probability
1 0.77
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bull_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.641335

15m : -0.153806

1H : -0.096204

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.37
  4. atr: 0.0002651673276
Details
  1. score: 2.37
  2. 1H
  3. ema9 : 0.321692
  4. ema21 : 0.320461
  5. ema50 : 0.318988
  6. ema100 : 0.318108
  7. price_ema9_diff : -0.00125003
  8. ema9_ema21_diff : 0.00384162
  9. ema21_ema50_diff : 0.00461473
  10. price_ema100_diff : 0.0100015
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.084054
  14. ema_slope_21 : 0.0747698
  15. ema_slope_50 : 0.0439895
  16. ema_slope_100 : 0.0254077
  17. rsi : 0.565584
  18. adx : 0.161116
  19. kc_percentage : 0.622892
  20. kc_width_percentage : 0.0186934
  21. volume_ema_diff : -0.209877
  22. volume_ema1 : 455498.82761977
  23. volume_ema2 : 576491.41635444
  24. chop : 65.7567
  25. regime : bull_medium
    26. ¸
  26. 15m
  27. ema9 : 0.322306
  28. ema21 : 0.322254
  29. ema50 : 0.321411
  30. ema100 : 0.32014
  31. price_ema9_diff : -0.00315396
  32. ema9_ema21_diff : 0.000162331
  33. ema21_ema50_diff : 0.00262124
  34. price_ema100_diff : 0.0035904
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00114261
  38. ema_slope_21 : 0.0130116
  39. ema_slope_50 : 0.0184832
  40. ema_slope_100 : 0.0173504
  41. rsi : 0.45976
  42. adx : 0.163889
  43. kc_percentage : 0.0503745
  44. kc_width_percentage : 0.00680862
  45. volume_ema_diff : -0.361619
  46. volume_ema1 : 74096.58818071
  47. volume_ema2 : 116069.6418632
  48. chop : 61.5319
  49. regime : range_low
    50. ¸
  50. 5m
  51. ema9 : 0.321809
  52. ema21 : 0.322202
  53. ema50 : 0.322309
  54. ema100 : 0.322021
  55. price_ema9_diff : -0.00161378
  56. ema9_ema21_diff : -0.00121977
  57. ema21_ema50_diff : -0.000331492
  58. price_ema100_diff : -0.00227006
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0304501
  62. ema_slope_21 : -0.0184156
  63. ema_slope_50 : -0.00583078
  64. ema_slope_100 : -0.000351906
  65. rsi : 0.24067
  66. adx : 0.246677
  67. kc_percentage : -0.370818
  68. kc_width_percentage : 0.00319099
  69. volume_ema_diff : 0.604859
  70. volume_ema1 : 65612.816729103
  71. volume_ema2 : 40883.83229935
  72. chop : 28.0755
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    111153
  77. 5m_price_ema100_diff: 
    0.000275037
  78. 5m_price: 
    111184
  79. 5m_correlation_with_coin: 
    0.641335
  80. btc_indicators
  81. 15m_ema100: 
    111182
  82. 15m_price_ema100_diff: 
    0.0011428
  83. 15m_price: 
    111310
  84. 15m_correlation_with_coin: 
    -0.153806
  85. btc_indicators
  86. 1H_ema100: 
    112094
  87. 1H_price_ema100_diff: 
    -0.00811582
  88. 1H_price: 
    111184
  89. 1H_correlation_with_coin: 
    -0.096204
    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] => 2025-10-12 22:00:00
                    [1] => 0.32423
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-13 10:00:00
                    [1] => 0.31957
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-13 17:00:00
                    [1] => 0.32392
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.30709
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-14 13:00:00
                    [1] => 0.31822
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-14 22:00:00
                    [1] => 0.3185
                    [2] => H
                )

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

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

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

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

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.6306222758045
            [ms_dist_from_last_low_pct] => 0.63237642049902
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.2710139936762
            [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] => 2025-10-15 12:00:00
                    [1] => 0.31117
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-15 16:30:00
                    [1] => 0.31621
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 20:15:00
                    [1] => 0.32049
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-15 23:30:00
                    [1] => 0.32222
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-16 01:45:00
                    [1] => 0.32003
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 02:45:00
                    [1] => 0.32273
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.31943
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 06:30:00
                    [1] => 0.32338
                    [2] => H
                )

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

            [9] => Array
                (
                    [0] => 2025-10-16 09:30:00
                    [1] => 0.32126
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.6306222758045
            [ms_dist_from_last_low_pct] => 0.059142127871513
            [ms_bars_since_swing_high] => 6
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.69414181659715
            [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] => 2025-10-16 02:50:00
                    [1] => 0.32273
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 03:25:00
                    [1] => 0.32138
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 04:20:00
                    [1] => 0.32176
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 04:35:00
                    [1] => 0.32102
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 05:15:00
                    [1] => 0.32227
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 05:40:00
                    [1] => 0.31943
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 06:40:00
                    [1] => 0.32338
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 07:30:00
                    [1] => 0.32254
                    [2] => L
                )

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

            [9] => Array
                (
                    [0] => 2025-10-16 09:40:00
                    [1] => 0.32126
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.6306222758045
            [ms_dist_from_last_low_pct] => 0.059142127871513
            [ms_bars_since_swing_high] => 20
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 0.69414181659715
            [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
-0.63%
Dist From Last Low Pct
0.06%
Bars Since Swing High
20 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.69%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0015
0.46%
TP to Pivot Distance
0.0014
0.43%
DateTime Price Type
2025-10-16 02:50:00 0.32273 ↑ High
2025-10-16 03:25:00 0.32138 ↓ Low
2025-10-16 04:20:00 0.32176 ↑ High
2025-10-16 04:35:00 0.32102 ↓ Low
2025-10-16 05:15:00 0.32227 ↑ High
2025-10-16 05:40:00 0.31943 ↓ Low
2025-10-16 06:40:00 0.32338 ↑ High
2025-10-16 07:30:00 0.32254 ↓ Low
2025-10-16 08:00:00 0.32349 ↑ High
2025-10-16 09:40:00 0.32126 ↓ Low
15M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.63%
Dist From Last Low Pct
0.06%
Bars Since Swing High
6 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
0.69%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0097
3.03%
TP to Pivot Distance
0.0014
0.43%
DateTime Price Type
2025-10-15 12:00:00 0.31117 ↓ Low
2025-10-15 16:30:00 0.31621 ↓ Low
2025-10-15 20:15:00 0.32049 ↑ High
2025-10-15 23:30:00 0.32222 ↑ High
2025-10-16 01:45:00 0.32003 ↓ Low
2025-10-16 02:45:00 0.32273 ↑ High
2025-10-16 05:30:00 0.31943 ↓ Low
2025-10-16 06:30:00 0.32338 ↑ High
2025-10-16 08:00:00 0.32349 ↑ High
2025-10-16 09:30:00 0.32126 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.63%
Dist From Last Low Pct
0.63%
Bars Since Swing High
1 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.27%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0138
4.30%
TP to Pivot Distance
0.0021
0.66%
DateTime Price Type
2025-10-12 22:00:00 0.32423 ↑ High
2025-10-13 10:00:00 0.31957 ↓ Low
2025-10-13 17:00:00 0.32392 ↑ High
2025-10-14 06:00:00 0.30709 ↓ Low
2025-10-14 13:00:00 0.31822 ↑ High
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

📌 Time Data

Start at Closed at Duration
16 Oct 2025
09:41:38		 16 Oct 2025
09:55:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3213 0.3209 0.3221 2 0.2854
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 0.3213
  • Stop Loss: 0.3209
  • Take Profit: 0.3221

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3209 - 0.3213 = -0.00039999999999996

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3213 - 0.3221 = -0.00080000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00080000000000002 / -0.00039999999999996 = 2

📌 Position Size

Amount Margin Quantity Leverage
6462.1335 100 20113.0863 64.62
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 -0.00039999999999996

Taille de position = 8 / -0.00039999999999996 = -20000

Taille de position USD = -20000 x 0.3213 = -6426

Donc, tu peux acheter -20000 avec un stoploss a 0.3209

Avec un position size USD de -6426$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20000 x -0.00039999999999996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20000 x -0.00080000000000002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -20000
  • Taille de position USD -6426
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.25 % 16.09 $
SL % Target SL $ Target
0.12 % 8.05 $
PNL PNL %
-8.04 $ -0.12
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1245 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.3221
            [entry_price] => 0.3213
            [stop_loss] => 0.32086
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 10:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.3221
            [entry_price] => 0.3213
            [stop_loss] => 0.32082
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 10:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.3221
            [entry_price] => 0.3213
            [stop_loss] => 0.32078
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 10:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.3221
            [entry_price] => 0.3213
            [stop_loss] => 0.3207
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 10:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.00166
            [rr_ratio] => 0.72
            [high] => 0.32250000
            [low] => 0.31964000
            [mfe_pct] => 0.37
            [mae_pct] => 0.52
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T09:41:38-04:00
            [end_at] => 2025-10-16T11:41:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0012
            [max_drawdown] => 0.00831
            [rr_ratio] => 0.14
            [high] => 0.32250000
            [low] => 0.31299000
            [mfe_pct] => 0.37
            [mae_pct] => 2.59
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T09:41:38-04:00
            [end_at] => 2025-10-16T16:41:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32349000
            [high_after] => 0.32250000
            [low_before] => 0.32063000
            [low_after] => 0.31509000
            [is_new_high] => 
            [is_new_low] => 
        )

)