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Short Trade on SEI

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Short Trade on SEI 30 Sep 2025 at 15:05:35

Take profit at 0.2703 (0.81 %) and Stop Loss at 0.2736 (0.4 %)

Short Trade on SEI

The 30 Sep 2025 at 15:05:35

With 7227.1117 SEI at 0.2725$ per unit.

Position size of 1969.4602 $

Take profit at 0.2703 (0.81 %) and Stop Loss at 0.2736 (0.4 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.13
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.77
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.672896

15m : -0.079615

1H : -0.031586

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.0007379619328
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 0.271661
  4. ema21 : 0.273723
  5. ema50 : 0.27597
  6. ema100 : 0.27731
  7. price_ema9_diff : 0.0031251
  8. ema9_ema21_diff : -0.00753517
  9. ema21_ema50_diff : -0.00814076
  10. price_ema100_diff : -0.0173109
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.177133
  14. ema_slope_21 : -0.144049
  15. ema_slope_50 : -0.0796853
  16. ema_slope_100 : -0.0453454
  17. rsi : 0.446848
  18. adx : 0.239124
  19. kc_percentage : 0.404704
  20. kc_width_percentage : 0.0411698
  21. volume_ema_diff : -0.188933
  22. volume_ema1 : 1002412.582901
  23. volume_ema2 : 1235919.2787405
  24. chop : 44.4958
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.270877
  28. ema21 : 0.270693
  29. ema50 : 0.272244
  30. ema100 : 0.274344
  31. price_ema9_diff : 0.0060264
  32. ema9_ema21_diff : 0.000678378
  33. ema21_ema50_diff : -0.00569725
  34. price_ema100_diff : -0.00668849
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.034782
  38. ema_slope_21 : -0.0169635
  39. ema_slope_50 : -0.0385457
  40. ema_slope_100 : -0.0347946
  41. rsi : 0.578989
  42. adx : 0.235979
  43. kc_percentage : 0.802281
  44. kc_width_percentage : 0.022416
  45. volume_ema_diff : -0.59297
  46. volume_ema1 : 153027.10391652
  47. volume_ema2 : 375960.88300486
  48. chop : 57.7075
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.271693
  52. ema21 : 0.270878
  53. ema50 : 0.270472
  54. ema100 : 0.271075
  55. price_ema9_diff : 0.00300445
  56. ema9_ema21_diff : 0.0030098
  57. ema21_ema50_diff : 0.00150113
  58. price_ema100_diff : 0.0052909
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0731042
  62. ema_slope_21 : 0.0511583
  63. ema_slope_50 : 0.0206226
  64. ema_slope_100 : 0.00372752
  65. rsi : 0.669568
  66. adx : 0.276896
  67. kc_percentage : 1.07289
  68. kc_width_percentage : 0.0101448
  69. volume_ema_diff : -0.640843
  70. volume_ema1 : 38453.141939257
  71. volume_ema2 : 107065.23475123
  72. chop : 38.7644
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    113182
  77. 5m_price_ema100_diff: 
    0.00590035
  78. 5m_price: 
    113849
  79. 5m_correlation_with_coin: 
    0.672896
  80. btc_indicators
  81. 15m_ema100: 
    113527
  82. 15m_price_ema100_diff: 
    0.0028434
  83. 15m_price: 
    113849
  84. 15m_correlation_with_coin: 
    -0.079615
  85. btc_indicators
  86. 1H_ema100: 
    111765
  87. 1H_price_ema100_diff: 
    0.0186463
  88. 1H_price: 
    113849
  89. 1H_correlation_with_coin: 
    -0.031586
    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] => 2025-09-27 05:00:00
                    [1] => 0.27554
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-27 09:00:00
                    [1] => 0.27978
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-27 13:00:00
                    [1] => 0.27519
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-27 18:00:00
                    [1] => 0.28217
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-28 08:00:00
                    [1] => 0.26819
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-28 18:00:00
                    [1] => 0.28471
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-29 09:00:00
                    [1] => 0.27391
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-29 11:00:00
                    [1] => 0.28488
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-29 21:00:00
                    [1] => 0.27557
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 11:00:00
                    [1] => 0.26712
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -4.4194046616119
            [ms_dist_from_last_low_pct] => 1.9354597184786
            [ms_bars_since_swing_high] => 28
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 3.1633722671458
            [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] => 2025-09-29 14:15:00
                    [1] => 0.27777
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-09-29 16:45:00
                    [1] => 0.28416
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-29 21:45:00
                    [1] => 0.27557
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-30 02:30:00
                    [1] => 0.27978
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-30 05:30:00
                    [1] => 0.27514
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 09:00:00
                    [1] => 0.27074
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 09:45:00
                    [1] => 0.27472
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 11:15:00
                    [1] => 0.26712
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.2728
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.18695014662757
            [ms_dist_from_last_low_pct] => 1.9354597184786
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 15
            [ms_last_swing_amplitude_pct] => 2.1263851452531
            [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] => 2025-09-30 09:45:00
                    [1] => 0.27472
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-30 10:15:00
                    [1] => 0.27351
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-30 10:55:00
                    [1] => 0.27197
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-30 11:25:00
                    [1] => 0.26712
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-30 12:25:00
                    [1] => 0.26986
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-30 12:40:00
                    [1] => 0.26755
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-30 13:05:00
                    [1] => 0.26993
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-30 13:40:00
                    [1] => 0.2705
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-09-30 14:00:00
                    [1] => 0.2686
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-09-30 15:00:00
                    [1] => 0.2728
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.18695014662757
            [ms_dist_from_last_low_pct] => 1.373790022338
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 1.5636634400596
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.19%
Dist From Last Low Pct
1.37%
Bars Since Swing High
1 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
1.56%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0011
0.41%
TP to Pivot Distance
0.0032
1.18%
DateTime Price Type
2025-09-30 09:45:00 0.27472 ↑ High
2025-09-30 10:15:00 0.27351 ↑ High
2025-09-30 10:55:00 0.27197 ↑ High
2025-09-30 11:25:00 0.26712 ↓ Low
2025-09-30 12:25:00 0.26986 ↑ High
2025-09-30 12:40:00 0.26755 ↓ Low
2025-09-30 13:05:00 0.26993 ↑ High
2025-09-30 13:40:00 0.2705 ↑ High
2025-09-30 14:00:00 0.2686 ↓ Low
2025-09-30 15:00:00 0.2728 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.19%
Dist From Last Low Pct
1.94%
Bars Since Swing High
0 bars
Bars Since Swing Low
15 bars
Last Swing Amplitude Pct
2.13%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0106
3.86%
TP to Pivot Distance
0.0032
1.18%
DateTime Price Type
2025-09-29 14:15:00 0.27777 ↓ Low
2025-09-29 16:45:00 0.28416 ↑ High
2025-09-29 21:45:00 0.27557 ↓ Low
2025-09-30 02:30:00 0.27978 ↑ High
2025-09-30 05:30:00 0.27514 ↑ High
2025-09-30 09:00:00 0.27074 ↓ Low
2025-09-30 09:45:00 0.27472 ↑ High
2025-09-30 11:15:00 0.26712 ↓ Low
2025-09-30 15:00:00 0.2728 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-4.42%
Dist From Last Low Pct
1.94%
Bars Since Swing High
28 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
3.16%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0113
4.12%
TP to Pivot Distance
0.0032
1.18%
DateTime Price Type
2025-09-27 05:00:00 0.27554 ↓ Low
2025-09-27 09:00:00 0.27978 ↑ High
2025-09-27 13:00:00 0.27519 ↓ Low
2025-09-27 18:00:00 0.28217 ↑ High
2025-09-28 08:00:00 0.26819 ↓ Low
2025-09-28 18:00:00 0.28471 ↑ High
2025-09-29 09:00:00 0.27391 ↓ Low
2025-09-29 11:00:00 0.28488 ↑ High
2025-09-29 21:00:00 0.27557 ↓ Low
2025-09-30 11:00:00 0.26712 ↓ Low

📌 Time Data

Start at Closed at Duration
30 Sep 2025
15:05:35		 30 Sep 2025
15:30:00		 24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2725 0.2736 0.2703 2 0.06814
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 0.2725
  • Stop Loss: 0.2736
  • Take Profit: 0.2703

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2736 - 0.2725 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2725 - 0.2703 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
1969.4602 100 7227.1117 19.69
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 0.2725 = 1981.82

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2736

Avec un position size USD de 1981.82$

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 1981.82
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.81 % 15.9 $
SL % Target SL $ Target
0.4 % 7.95 $
PNL PNL %
-7.95 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6092 % 150.9 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2703
            [entry_price] => 0.2725
            [stop_loss] => 0.27371
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2703
            [entry_price] => 0.2725
            [stop_loss] => 0.27382
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2703
            [entry_price] => 0.2725
            [stop_loss] => 0.27393
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2703
            [entry_price] => 0.2725
            [stop_loss] => 0.27415
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-30 15:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00072
            [max_drawdown] => 0.0076
            [rr_ratio] => 0.09
            [high] => 0.28010000
            [low] => 0.27178000
            [mfe_pct] => 0.26
            [mae_pct] => 2.79
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-09-30T15:05:35-04:00
            [end_at] => 2025-09-30T17:05:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00072
            [max_drawdown] => 0.0076
            [rr_ratio] => 0.09
            [high] => 0.28010000
            [low] => 0.27178000
            [mfe_pct] => 0.26
            [mae_pct] => 2.79
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 84
            [start_at] => 2025-09-30T15:05:35-04:00
            [end_at] => 2025-09-30T22:05:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27280000
            [high_after] => 0.28010000
            [low_before] => 0.26712000
            [low_after] => 0.27178000
            [is_new_high] => 
            [is_new_low] => 
        )

)