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Short Trade on 1000000MOG

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Short Trade on 1000000MOG 29 Nov 2025 at 00:29:15

Take profit at 0.2895 (0.75 %) and Stop Loss at 0.2928 (0.38 %)

Short Trade on 1000000MOG

The 29 Nov 2025 at 00:29:15

With 7410.2828 1000000MOG at 0.2917$ per unit.

Position size of 2161.5795 $

Take profit at 0.2895 (0.75 %) and Stop Loss at 0.2928 (0.38 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 100
ML Pullback Score: 9.18
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.54
Prediction 2 Probability
0 0.37
Prediction 3 Probability
1 0.79
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.493928

15m : -0.033023

1H : -0.048402

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0007197206187
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.292453
  4. ema21 : 0.295627
  5. ema50 : 0.29646
  6. ema100 : 0.290663
  7. price_ema9_diff : -0.00257647
  8. ema9_ema21_diff : -0.0107357
  9. ema21_ema50_diff : -0.00281204
  10. price_ema100_diff : 0.00356489
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.21046
  14. ema_slope_21 : -0.144759
  15. ema_slope_50 : -0.0437637
  16. ema_slope_100 : 0.0276458
  17. rsi : 0.435689
  18. adx : 0.115386
  19. kc_percentage : 0.323372
  20. kc_width_percentage : 0.0724695
  21. volume_ema_diff : -0.469695
  22. volume_ema1 : 91750.50538775
  23. volume_ema2 : 173014.89521597
  24. chop : 49.4787
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.28996
  28. ema21 : 0.290913
  29. ema50 : 0.293719
  30. ema100 : 0.295693
  31. price_ema9_diff : 0.00599927
  32. ema9_ema21_diff : -0.00327553
  33. ema21_ema50_diff : -0.00955397
  34. price_ema100_diff : -0.0135055
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0402769
  38. ema_slope_21 : -0.0805343
  39. ema_slope_50 : -0.0732313
  40. ema_slope_100 : -0.0473383
  41. rsi : 0.471665
  42. adx : 0.185102
  43. kc_percentage : 0.631628
  44. kc_width_percentage : 0.0235364
  45. volume_ema_diff : -0.546629
  46. volume_ema1 : 16464.629955494
  47. volume_ema2 : 36316.036485772
  48. chop : 50.9429
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.290787
  52. ema21 : 0.290027
  53. ema50 : 0.290386
  54. ema100 : 0.292419
  55. price_ema9_diff : 0.00313729
  56. ema9_ema21_diff : 0.00262161
  57. ema21_ema50_diff : -0.00123723
  58. price_ema100_diff : -0.00246061
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0764427
  62. ema_slope_21 : 0.0393779
  63. ema_slope_50 : 0.00201156
  64. ema_slope_100 : -0.0152888
  65. rsi : 0.630341
  66. adx : 0.249626
  67. kc_percentage : 1.12729
  68. kc_width_percentage : 0.00897613
  69. volume_ema_diff : -0.802911
  70. volume_ema1 : 1740.1012794311
  71. volume_ema2 : 8829.0131336745
  72. chop : 34.4808
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    90828.9
  77. 5m_price_ema100_diff: 
    0.00034353
  78. 5m_price: 
    90860.2
  79. 5m_correlation_with_coin: 
    0.493928
  80. btc_indicators
  81. 15m_ema100: 
    91103.6
  82. 15m_price_ema100_diff: 
    -0.00268071
  83. 15m_price: 
    90859.4
  84. 15m_correlation_with_coin: 
    -0.033023
  85. btc_indicators
  86. 1H_ema100: 
    90070
  87. 1H_price_ema100_diff: 
    0.00877317
  88. 1H_price: 
    90860.2
  89. 1H_correlation_with_coin: 
    -0.048402
    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] => 2025-11-26 10:00:00
                    [1] => 0.2599
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-26 16:00:00
                    [1] => 0.3305
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-27 00:00:00
                    [1] => 0.3006
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-27 04:00:00
                    [1] => 0.3174
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-27 11:00:00
                    [1] => 0.3197
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-28 01:00:00
                    [1] => 0.2926
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-28 03:00:00
                    [1] => 0.3047
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-28 08:00:00
                    [1] => 0.2905
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-28 10:00:00
                    [1] => 0.3155
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-28 23:00:00
                    [1] => 0.2869
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -7.5435816164818
            [ms_dist_from_last_low_pct] => 1.673056814221
            [ms_bars_since_swing_high] => 14
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 9.9686301847334
            [ms_bos_up] => 1
            [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] => 2025-11-28 02:45:00
                    [1] => 0.2926
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-28 03:45:00
                    [1] => 0.3047
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-28 06:15:00
                    [1] => 0.2938
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-28 08:30:00
                    [1] => 0.2905
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-28 10:15:00
                    [1] => 0.3155
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-11-28 13:00:00
                    [1] => 0.2938
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-11-28 14:30:00
                    [1] => 0.3051
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-28 21:15:00
                    [1] => 0.2952
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-28 23:15:00
                    [1] => 0.2869
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-29 00:15:00
                    [1] => 0.2918
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.034270047978063
            [ms_dist_from_last_low_pct] => 1.673056814221
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 1.7079121645173
            [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] => 2025-11-28 18:35:00
                    [1] => 0.2925
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-28 19:15:00
                    [1] => 0.2917
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-28 19:55:00
                    [1] => 0.2911
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-28 20:15:00
                    [1] => 0.2931
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-28 20:55:00
                    [1] => 0.2886
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-28 21:15:00
                    [1] => 0.2952
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-28 21:30:00
                    [1] => 0.2875
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-28 22:00:00
                    [1] => 0.2918
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-28 23:15:00
                    [1] => 0.2869
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-29 00:20:00
                    [1] => 0.2918
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.034270047978063
            [ms_dist_from_last_low_pct] => 1.673056814221
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 14
            [ms_last_swing_amplitude_pct] => 1.7079121645173
            [ms_bos_up] => 0
            [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
-0.03%
Dist From Last Low Pct
1.67%
Bars Since Swing High
1 bars
Bars Since Swing Low
14 bars
Last Swing Amplitude Pct
1.71%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0024
0.82%
TP to Pivot Distance
0.0026
0.90%
DateTime Price Type
2025-11-28 18:35:00 0.2925 ↓ Low
2025-11-28 19:15:00 0.2917 ↓ Low
2025-11-28 19:55:00 0.2911 ↓ Low
2025-11-28 20:15:00 0.2931 ↑ High
2025-11-28 20:55:00 0.2886 ↓ Low
2025-11-28 21:15:00 0.2952 ↑ High
2025-11-28 21:30:00 0.2875 ↓ Low
2025-11-28 22:00:00 0.2918 ↑ High
2025-11-28 23:15:00 0.2869 ↓ Low
2025-11-29 00:20:00 0.2918 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.03%
Dist From Last Low Pct
1.67%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
1.71%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0227
7.75%
TP to Pivot Distance
0.0026
0.90%
DateTime Price Type
2025-11-28 02:45:00 0.2926 ↓ Low
2025-11-28 03:45:00 0.3047 ↑ High
2025-11-28 06:15:00 0.2938 ↓ Low
2025-11-28 08:30:00 0.2905 ↓ Low
2025-11-28 10:15:00 0.3155 ↑ High
2025-11-28 13:00:00 0.2938 ↓ Low
2025-11-28 14:30:00 0.3051 ↑ High
2025-11-28 21:15:00 0.2952 ↑ High
2025-11-28 23:15:00 0.2869 ↓ Low
2025-11-29 00:15:00 0.2918 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-7.54%
Dist From Last Low Pct
1.67%
Bars Since Swing High
14 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
9.97%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0377
12.88%
TP to Pivot Distance
0.0296
10.22%
DateTime Price Type
2025-11-26 10:00:00 0.2599 ↓ Low
2025-11-26 16:00:00 0.3305 ↑ High
2025-11-27 00:00:00 0.3006 ↓ Low
2025-11-27 04:00:00 0.3174 ↑ High
2025-11-27 11:00:00 0.3197 ↑ High
2025-11-28 01:00:00 0.2926 ↓ Low
2025-11-28 03:00:00 0.3047 ↑ High
2025-11-28 08:00:00 0.2905 ↓ Low
2025-11-28 10:00:00 0.3155 ↑ High
2025-11-28 23:00:00 0.2869 ↓ Low

📌 Time Data

Start at Closed at Duration
29 Nov 2025
00:29:15		 29 Nov 2025
00:50:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2917 0.2928 0.2895 2 0.169
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 0.2917
  • Stop Loss: 0.2928
  • Take Profit: 0.2895

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2928 - 0.2917 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2917 - 0.2895 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
2161.5795 100 7410.2828 21.62
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.2917 = 2121.46

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2928

Avec un position size USD de 2121.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 2121.46
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.75 % 16.3 $
SL % Target SL $ Target
0.38 % 8.15 $
PNL PNL %
16.3 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1714 % 45.45 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2895
            [stop_loss] => 0.2928
            [rr_ratio] => 2
            [closed_at] => 2025-11-29 00:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.28895
            [stop_loss] => 0.2928
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-29 01:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2884
            [stop_loss] => 0.2928
            [rr_ratio] => 3
            [closed_at] => 2025-11-29 01:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.28785
            [stop_loss] => 0.2928
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-29 01:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2873
            [stop_loss] => 0.2928
            [rr_ratio] => 4
            [closed_at] => 2025-11-29 01:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.28675
            [stop_loss] => 0.2928
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-29 01:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2862
            [stop_loss] => 0.2928
            [rr_ratio] => 5
            [closed_at] => 2025-11-29 01:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.001
            [rr_ratio] => 5.6
            [high] => 0.29270000
            [low] => 0.28610000
            [mfe_pct] => 1.92
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 5.6
            [candles_analyzed] => 24
            [start_at] => 2025-11-29T00:29:15-05:00
            [end_at] => 2025-11-29T02:29:15-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0059
            [max_drawdown] => 0.001
            [rr_ratio] => 5.9
            [high] => 0.29270000
            [low] => 0.28580000
            [mfe_pct] => 2.02
            [mae_pct] => 0.34
            [mfe_mae_ratio] => 5.9
            [candles_analyzed] => 84
            [start_at] => 2025-11-29T00:29:15-05:00
            [end_at] => 2025-11-29T07:29:15-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29520000
            [high_after] => 0.29270000
            [low_before] => 0.28690000
            [low_after] => 0.28580000
            [is_new_high] => 
            [is_new_low] => 1
        )

)