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Short Trade on DYM

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Short Trade on DYM 30 Nov 2025 at 10:50:31

Take profit at 0.08674 (0.87 %) and Stop Loss at 0.08788 (0.43 %)

Short Trade on DYM

The 30 Nov 2025 at 10:50:31

With 20953.0781 DYM at 0.0875$ per unit.

Position size of 1833.3943 $

Take profit at 0.08674 (0.87 %) and Stop Loss at 0.08788 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.05
Prediction Score: 1
Prediction 1 Probability
Strong Trade
0.59
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.53
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.271598

15m : -0.097152

1H : -0.067616

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0002545369855
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.0875284
  4. ema21 : 0.0882229
  5. ema50 : 0.0902757
  6. ema100 : 0.0936488
  7. price_ema9_diff : -0.000324703
  8. ema9_ema21_diff : -0.00787271
  9. ema21_ema50_diff : -0.0227388
  10. price_ema100_diff : -0.0656584
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.228631
  14. ema_slope_21 : -0.127227
  15. ema_slope_50 : -0.142551
  16. ema_slope_100 : -0.139232
  17. rsi : 0.444541
  18. adx : 0.262301
  19. kc_percentage : 0.390073
  20. kc_width_percentage : 0.0694229
  21. volume_ema_diff : -0.238592
  22. volume_ema1 : 106828.13532187
  23. volume_ema2 : 140303.45040534
  24. chop : 39.9571
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0870357
  28. ema21 : 0.0871949
  29. ema50 : 0.0877638
  30. ema100 : 0.0880608
  31. price_ema9_diff : 0.0053338
  32. ema9_ema21_diff : -0.00182571
  33. ema21_ema50_diff : -0.00648166
  34. price_ema100_diff : -0.00636938
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0134334
  38. ema_slope_21 : -0.0386813
  39. ema_slope_50 : -0.0439276
  40. ema_slope_100 : -0.0268275
  41. rsi : 0.522601
  42. adx : 0.211029
  43. kc_percentage : 0.654189
  44. kc_width_percentage : 0.0242548
  45. volume_ema_diff : -0.786793
  46. volume_ema1 : 8791.2339230736
  47. volume_ema2 : 41233.444372906
  48. chop : 44.4458
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.087021
  52. ema21 : 0.0868871
  53. ema50 : 0.0870103
  54. ema100 : 0.0873061
  55. price_ema9_diff : 0.00550405
  56. ema9_ema21_diff : 0.00154124
  57. ema21_ema50_diff : -0.0014162
  58. price_ema100_diff : 0.00222072
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0167016
  62. ema_slope_21 : -0.0116071
  63. ema_slope_50 : -0.0159989
  64. ema_slope_100 : -0.0154981
  65. rsi : 0.622836
  66. adx : 0.221464
  67. kc_percentage : 1.08061
  68. kc_width_percentage : 0.0120619
  69. volume_ema_diff : -0.614099
  70. volume_ema1 : 3662.63856579
  71. volume_ema2 : 9491.1581114048
  72. chop : 17.3948
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    91313.5
  77. 5m_price_ema100_diff: 
    0.0012941
  78. 5m_price: 
    91431.7
  79. 5m_correlation_with_coin: 
    0.271598
  80. btc_indicators
  81. 15m_ema100: 
    91049.5
  82. 15m_price_ema100_diff: 
    0.00419756
  83. 15m_price: 
    91431.7
  84. 15m_correlation_with_coin: 
    -0.097152
  85. btc_indicators
  86. 1H_ema100: 
    90353.1
  87. 1H_price_ema100_diff: 
    0.0119373
  88. 1H_price: 
    91431.7
  89. 1H_correlation_with_coin: 
    -0.067616
    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] => 2025-11-27 10:00:00
                    [1] => 0.0971
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-27 11:00:00
                    [1] => 0.1015
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-27 19:00:00
                    [1] => 0.0997
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-28 02:00:00
                    [1] => 0.0943
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-28 10:00:00
                    [1] => 0.0965
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-28 12:00:00
                    [1] => 0.0928
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-28 18:00:00
                    [1] => 0.0913
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-29 13:00:00
                    [1] => 0.0846
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-29 19:00:00
                    [1] => 0.0946
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-30 10:00:00
                    [1] => 0.0887
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.33821871476888
            [ms_dist_from_last_low_pct] => 3.1505250875146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 6.6516347237881
            [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] => 2025-11-29 18:00:00
                    [1] => 0.0855
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-29 19:30:00
                    [1] => 0.0946
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-29 21:30:00
                    [1] => 0.0943
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-30 02:45:00
                    [1] => 0.0873
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-30 05:30:00
                    [1] => 0.0866
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-30 06:15:00
                    [1] => 0.0866
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-30 06:45:00
                    [1] => 0.0879
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-30 09:00:00
                    [1] => 0.0879
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-30 10:00:00
                    [1] => 0.0857
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 10:45:00
                    [1] => 0.0887
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.33821871476888
            [ms_dist_from_last_low_pct] => 3.1505250875146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 3.5005834305718
            [ms_bos_up] => 1
            [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] => 2025-11-30 06:45:00
                    [1] => 0.0879
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-30 07:00:00
                    [1] => 0.0869
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-30 07:30:00
                    [1] => 0.0872
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-30 07:35:00
                    [1] => 0.0867
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-30 08:00:00
                    [1] => 0.0874
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-30 08:15:00
                    [1] => 0.087
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-30 08:20:00
                    [1] => 0.0874
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-30 09:05:00
                    [1] => 0.0879
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-30 10:05:00
                    [1] => 0.0857
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-30 10:50:00
                    [1] => 0.0887
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.33821871476888
            [ms_dist_from_last_low_pct] => 3.1505250875146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 3.5005834305718
            [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
-0.34%
Dist From Last Low Pct
3.15%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
3.50%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0008
0.93%
TP to Pivot Distance
0.0010
1.20%
DateTime Price Type
2025-11-30 06:45:00 0.0879 ↑ High
2025-11-30 07:00:00 0.0869 ↓ Low
2025-11-30 07:30:00 0.0872 ↑ High
2025-11-30 07:35:00 0.0867 ↓ Low
2025-11-30 08:00:00 0.0874 ↑ High
2025-11-30 08:15:00 0.087 ↓ Low
2025-11-30 08:20:00 0.0874 ↑ High
2025-11-30 09:05:00 0.0879 ↑ High
2025-11-30 10:05:00 0.0857 ↓ Low
2025-11-30 10:50:00 0.0887 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.34%
Dist From Last Low Pct
3.15%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
3.50%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0067
7.65%
TP to Pivot Distance
0.0012
1.43%
DateTime Price Type
2025-11-29 18:00:00 0.0855 ↓ Low
2025-11-29 19:30:00 0.0946 ↑ High
2025-11-29 21:30:00 0.0943 ↑ High
2025-11-30 02:45:00 0.0873 ↓ Low
2025-11-30 05:30:00 0.0866 ↓ Low
2025-11-30 06:15:00 0.0866 ↓ Low
2025-11-30 06:45:00 0.0879 ↑ High
2025-11-30 09:00:00 0.0879 ↑ High
2025-11-30 10:00:00 0.0857 ↓ Low
2025-11-30 10:45:00 0.0887 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.34%
Dist From Last Low Pct
3.15%
Bars Since Swing High
0 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
6.65%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0136
15.50%
TP to Pivot Distance
0.0021
2.47%
DateTime Price Type
2025-11-27 10:00:00 0.0971 ↓ Low
2025-11-27 11:00:00 0.1015 ↑ High
2025-11-27 19:00:00 0.0997 ↑ High
2025-11-28 02:00:00 0.0943 ↓ Low
2025-11-28 10:00:00 0.0965 ↑ High
2025-11-28 12:00:00 0.0928 ↓ Low
2025-11-28 18:00:00 0.0913 ↓ Low
2025-11-29 13:00:00 0.0846 ↓ Low
2025-11-29 19:00:00 0.0946 ↑ High
2025-11-30 10:00:00 0.0887 ↑ High

📌 Time Data

Start at Closed at Duration
30 Nov 2025
10:50:31		 30 Nov 2025
10:55:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0875 0.08788 0.08674 2 0.03826
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 0.0875
  • Stop Loss: 0.08788
  • Take Profit: 0.08674

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08788 - 0.0875 = 0.00038000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0875 - 0.08674 = 0.00076

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00076 / 0.00038000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1833.3943 100 20953.0781 18.33
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 0.00038000000000001

Taille de position = 8 / 0.00038000000000001 = 21052.63

Taille de position USD = 21052.63 x 0.0875 = 1842.11

Donc, tu peux acheter 21052.63 avec un stoploss a 0.08788

Avec un position size USD de 1842.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21052.63 x 0.00038000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21052.63 x 0.00076 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 21052.63
  • Taille de position USD 1842.11
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.87 % 15.92 $
SL % Target SL $ Target
0.43 % 7.96 $
PNL PNL %
-7.96 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1429 % 263.16 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08674
            [entry_price] => 0.0875
            [stop_loss] => 0.087918
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-30 10:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08674
            [entry_price] => 0.0875
            [stop_loss] => 0.087956
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-30 10:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08674
            [entry_price] => 0.0875
            [stop_loss] => 0.087994
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-30 10:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08674
            [entry_price] => 0.0875
            [stop_loss] => 0.08807
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-30 10:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0005
            [max_drawdown] => 0.0112
            [rr_ratio] => -0.04
            [high] => 0.09870000
            [low] => 0.08800000
            [mfe_pct] => -0.57
            [mae_pct] => 12.8
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 24
            [start_at] => 2025-11-30T10:50:31-05:00
            [end_at] => 2025-11-30T12:50:31-05:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0005
            [max_drawdown] => 0.0172
            [rr_ratio] => -0.03
            [high] => 0.10470000
            [low] => 0.08800000
            [mfe_pct] => -0.57
            [mae_pct] => 19.66
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 84
            [start_at] => 2025-11-30T10:50:31-05:00
            [end_at] => 2025-11-30T17:50:31-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08870000
            [high_after] => 0.10470000
            [low_before] => 0.08570000
            [low_after] => 0.08800000
            [is_new_high] => 
            [is_new_low] => 
        )

)