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Short Trade on MYRO

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Short Trade on MYRO 30 Oct 2025 at 18:36:05

Take profit at 0.01658 (0.96 %) and Stop Loss at 0.01682 (0.48 %)

Short Trade on MYRO

The 30 Oct 2025 at 18:36:05

With 102089.7949 MYRO at 0.01674$ per unit.

Position size of 1708.9832 $

Take profit at 0.01658 (0.96 %) and Stop Loss at 0.01682 (0.48 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.06
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.94
Prediction 2 Probability
1 0.51
Prediction 3 Probability
0 0.6
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 : bull_low
BTC Correlation Score

5m : 0.528051

15m : -0.046075

1H : -0.243617

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.51
  4. atr: 5.224159124E-5
Details
  1. score: 1.51
  2. 1H
  3. ema9 : 0.0166788
  4. ema21 : 0.0172636
  5. ema50 : 0.0179206
  6. ema100 : 0.0178304
  7. price_ema9_diff : 0.00366645
  8. ema9_ema21_diff : -0.0338735
  9. ema21_ema50_diff : -0.0366605
  10. price_ema100_diff : -0.0611552
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.737535
  14. ema_slope_21 : -0.612819
  15. ema_slope_50 : -0.343926
  16. ema_slope_100 : -0.142378
  17. rsi : 0.361128
  18. adx : 0.423497
  19. kc_percentage : 0.191492
  20. kc_width_percentage : 0.0931081
  21. volume_ema_diff : -0.734288
  22. volume_ema1 : 83945.613496494
  23. volume_ema2 : 315927.32486239
  24. chop : 45.0916
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0165447
  28. ema21 : 0.0165187
  29. ema50 : 0.0168743
  30. ema100 : 0.0175114
  31. price_ema9_diff : 0.0118043
  32. ema9_ema21_diff : 0.00156846
  33. ema21_ema50_diff : -0.0210703
  34. price_ema100_diff : -0.0440538
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.124993
  38. ema_slope_21 : -0.00470891
  39. ema_slope_50 : -0.114632
  40. ema_slope_100 : -0.130493
  41. rsi : 0.600972
  42. adx : 0.289891
  43. kc_percentage : 0.919278
  44. kc_width_percentage : 0.0322582
  45. volume_ema_diff : -0.819713
  46. volume_ema1 : 8227.3579716292
  47. volume_ema2 : 45634.875802373
  48. chop : 54.5413
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0166323
  52. ema21 : 0.0165459
  53. ema50 : 0.0164801
  54. ema100 : 0.0165034
  55. price_ema9_diff : 0.00647064
  56. ema9_ema21_diff : 0.0052247
  57. ema21_ema50_diff : 0.00399074
  58. price_ema100_diff : 0.0143347
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0981115
  62. ema_slope_21 : 0.0682185
  63. ema_slope_50 : 0.0346852
  64. ema_slope_100 : 0.0111382
  65. rsi : 0.728781
  66. adx : 0.337151
  67. kc_percentage : 1.50651
  68. kc_width_percentage : 0.011213
  69. volume_ema_diff : -0.450829
  70. volume_ema1 : 3337.6121249884
  71. volume_ema2 : 6077.5528259948
  72. chop : 29.6057
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107446
  77. 5m_price_ema100_diff: 
    0.000498046
  78. 5m_price: 
    107499
  79. 5m_correlation_with_coin: 
    0.528051
  80. btc_indicators
  81. 15m_ema100: 
    108888
  82. 15m_price_ema100_diff: 
    -0.0133904
  83. 15m_price: 
    107430
  84. 15m_correlation_with_coin: 
    -0.046075
  85. btc_indicators
  86. 1H_ema100: 
    111686
  87. 1H_price_ema100_diff: 
    -0.0374828
  88. 1H_price: 
    107499
  89. 1H_correlation_with_coin: 
    -0.243617
    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 06:00:00
                    [1] => 0.01744
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-27 17:00:00
                    [1] => 0.02045
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-27 18:00:00
                    [1] => 0.0184
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-28 05:00:00
                    [1] => 0.02011
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 16:00:00
                    [1] => 0.01755
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 09:00:00
                    [1] => 0.02009
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.01789
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-29 20:00:00
                    [1] => 0.01961
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 14:00:00
                    [1] => 0.01607
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 18:00:00
                    [1] => 0.01679
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.11911852293031
            [ms_dist_from_last_low_pct] => 4.3559427504667
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 4.4803982576229
            [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 19:30:00
                    [1] => 0.01893
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-29 20:15:00
                    [1] => 0.01961
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-29 21:30:00
                    [1] => 0.01896
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-29 22:45:00
                    [1] => 0.01934
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 01:15:00
                    [1] => 0.01794
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 06:45:00
                    [1] => 0.01768
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 07:30:00
                    [1] => 0.01802
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 11:00:00
                    [1] => 0.01649
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 14:30:00
                    [1] => 0.01607
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 18:30:00
                    [1] => 0.01679
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.11911852293031
            [ms_dist_from_last_low_pct] => 4.3559427504667
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 16
            [ms_last_swing_amplitude_pct] => 4.4803982576229
            [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 13:35:00
                    [1] => 0.01622
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-30 13:50:00
                    [1] => 0.01657
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-30 14:35:00
                    [1] => 0.01607
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 14:45:00
                    [1] => 0.01607
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.01635
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 16:10:00
                    [1] => 0.01648
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 16:30:00
                    [1] => 0.01625
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 17:05:00
                    [1] => 0.01662
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 17:30:00
                    [1] => 0.0164
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 18:30:00
                    [1] => 0.01679
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.11911852293031
            [ms_dist_from_last_low_pct] => 2.2560975609756
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 2.3780487804878
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
2.26%
Bars Since Swing High
1 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
2.38%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0000
0.18%
TP to Pivot Distance
0.0005
3.08%
DateTime Price Type
2025-10-30 13:35:00 0.01622 ↓ Low
2025-10-30 13:50:00 0.01657 ↑ High
2025-10-30 14:35:00 0.01607 ↓ Low
2025-10-30 14:45:00 0.01607 ↓ Low
2025-10-30 15:00:00 0.01635 ↑ High
2025-10-30 16:10:00 0.01648 ↑ High
2025-10-30 16:30:00 0.01625 ↓ Low
2025-10-30 17:05:00 0.01662 ↑ High
2025-10-30 17:30:00 0.0164 ↓ Low
2025-10-30 18:30:00 0.01679 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
4.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
16 bars
Last Swing Amplitude Pct
4.48%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0028
16.59%
TP to Pivot Distance
0.0005
3.08%
DateTime Price Type
2025-10-29 19:30:00 0.01893 ↓ Low
2025-10-29 20:15:00 0.01961 ↑ High
2025-10-29 21:30:00 0.01896 ↓ Low
2025-10-29 22:45:00 0.01934 ↑ High
2025-10-30 01:15:00 0.01794 ↓ Low
2025-10-30 06:45:00 0.01768 ↓ Low
2025-10-30 07:30:00 0.01802 ↑ High
2025-10-30 11:00:00 0.01649 ↓ Low
2025-10-30 14:30:00 0.01607 ↓ Low
2025-10-30 18:30:00 0.01679 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.12%
Dist From Last Low Pct
4.36%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
4.48%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0036
21.58%
TP to Pivot Distance
0.0005
3.08%
DateTime Price Type
2025-10-27 06:00:00 0.01744 ↓ Low
2025-10-27 17:00:00 0.02045 ↑ High
2025-10-27 18:00:00 0.0184 ↓ Low
2025-10-28 05:00:00 0.02011 ↑ High
2025-10-28 16:00:00 0.01755 ↓ Low
2025-10-29 09:00:00 0.02009 ↑ High
2025-10-29 14:00:00 0.01789 ↓ Low
2025-10-29 20:00:00 0.01961 ↑ High
2025-10-30 14:00:00 0.01607 ↓ Low
2025-10-30 18:00:00 0.01679 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
18:36:05		 30 Oct 2025
19:15:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01674 0.01682 0.01658 2 0.01085
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 0.01674
  • Stop Loss: 0.01682
  • Take Profit: 0.01658

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01682 - 0.01674 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01674 - 0.01658 = 0.00016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00016 / 8.0E-5 = 2

📌 Position Size

Amount Margin Quantity Leverage
1708.9832 100 102089.7949 17.09
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.01674 = 1674

Donc, tu peux acheter 100000 avec un stoploss a 0.01682

Avec un position size USD de 1674$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 100000
  • Taille de position USD 1674
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.96 % 16.33 $
SL % Target SL $ Target
0.48 % 8.17 $
PNL PNL %
-8.17 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5376 % 112.49 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01658
            [entry_price] => 0.01674
            [stop_loss] => 0.016828
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01658
            [entry_price] => 0.01674
            [stop_loss] => 0.016836
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01658
            [entry_price] => 0.01674
            [stop_loss] => 0.016844
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01658
            [entry_price] => 0.01674
            [stop_loss] => 0.01686
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 19:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.0000000000002E-5
            [max_drawdown] => 0.00064
            [rr_ratio] => 0.05
            [high] => 0.01738000
            [low] => 0.01671000
            [mfe_pct] => 0.18
            [mae_pct] => 3.82
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T18:36:05-04:00
            [end_at] => 2025-10-30T20:36:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.0000000000002E-5
            [max_drawdown] => 0.00075
            [rr_ratio] => 0.04
            [high] => 0.01749000
            [low] => 0.01671000
            [mfe_pct] => 0.18
            [mae_pct] => 4.48
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T18:36:05-04:00
            [end_at] => 2025-10-31T01:36:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01679000
            [high_after] => 0.01745000
            [low_before] => 0.01607000
            [low_after] => 0.01671000
            [is_new_high] => 
            [is_new_low] => 
        )

)