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Short Trade on VINE

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Short Trade on VINE 16 Oct 2025 at 19:25:39

Take profit at 0.04586 (1.71 %) and Stop Loss at 0.04706 (0.86 %)

Short Trade on VINE

The 16 Oct 2025 at 19:25:39

With 19880.8241 VINE at 0.04666$ per unit.

Position size of 927.6393 $

Take profit at 0.04586 (1.71 %) and Stop Loss at 0.04706 (0.86 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.92
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
1 0.59
Prediction 3 Probability
0 0.74
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.616343

15m : -0.137504

1H : 0.126141

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0002682652034
Details
  1. score: 1.15
  2. 1H
  3. ema9 : 0.0468667
  4. ema21 : 0.0487332
  5. ema50 : 0.0510596
  6. ema100 : 0.0528937
  7. price_ema9_diff : -0.00441163
  8. ema9_ema21_diff : -0.0383003
  9. ema21_ema50_diff : -0.0455614
  10. price_ema100_diff : -0.117854
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.872612
  14. ema_slope_21 : -0.613172
  15. ema_slope_50 : -0.36841
  16. ema_slope_100 : -0.230311
  17. rsi : 0.365203
  18. adx : 0.387179
  19. kc_percentage : 0.198805
  20. kc_width_percentage : 0.138544
  21. volume_ema_diff : -0.286901
  22. volume_ema1 : 156249.18109116
  23. volume_ema2 : 219112.9522436
  24. chop : 20.538
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0458971
  28. ema21 : 0.0460889
  29. ema50 : 0.0475195
  30. ema100 : 0.0490675
  31. price_ema9_diff : 0.0166211
  32. ema9_ema21_diff : -0.00416093
  33. ema21_ema50_diff : -0.0301063
  34. price_ema100_diff : -0.0490654
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0210575
  38. ema_slope_21 : -0.121503
  39. ema_slope_50 : -0.190801
  40. ema_slope_100 : -0.152693
  41. rsi : 0.488414
  42. adx : 0.277162
  43. kc_percentage : 0.744856
  44. kc_width_percentage : 0.0533495
  45. volume_ema_diff : -0.766065
  46. volume_ema1 : 16383.623261893
  47. volume_ema2 : 70034.976182533
  48. chop : 80.9319
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0462407
  52. ema21 : 0.0460056
  53. ema50 : 0.0459601
  54. ema100 : 0.0464647
  55. price_ema9_diff : 0.0090656
  56. ema9_ema21_diff : 0.0051122
  57. ema21_ema50_diff : 0.000988601
  58. price_ema100_diff : 0.00420267
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0867985
  62. ema_slope_21 : 0.0539185
  63. ema_slope_50 : 0.0136456
  64. ema_slope_100 : -0.0196569
  65. rsi : 0.670819
  66. adx : 0.265318
  67. kc_percentage : 1.14969
  68. kc_width_percentage : 0.0212073
  69. volume_ema_diff : -0.697121
  70. volume_ema1 : 4047.6081918078
  71. volume_ema2 : 13363.791188175
  72. chop : 46.1186
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108448
  77. 5m_price_ema100_diff: 
    -0.000751973
  78. 5m_price: 
    108366
  79. 5m_correlation_with_coin: 
    0.616343
  80. btc_indicators
  81. 15m_ema100: 
    109674
  82. 15m_price_ema100_diff: 
    -0.0144692
  83. 15m_price: 
    108087
  84. 15m_correlation_with_coin: 
    -0.137504
  85. btc_indicators
  86. 1H_ema100: 
    111850
  87. 1H_price_ema100_diff: 
    -0.0311475
  88. 1H_price: 
    108366
  89. 1H_correlation_with_coin: 
    0.126141
    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] => 2025-10-13 20:00:00
                    [1] => 0.05828
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-14 02:00:00
                    [1] => 0.04913
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-14 08:00:00
                    [1] => 0.05005
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-14 12:00:00
                    [1] => 0.05877
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.05685
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-15 17:00:00
                    [1] => 0.05064
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 02:00:00
                    [1] => 0.05328
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.04976
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 09:00:00
                    [1] => 0.05349
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.04109
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -13.049168068798
            [ms_dist_from_last_low_pct] => 13.190557313215
            [ms_bars_since_swing_high] => 10
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 30.177658797761
            [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] => 2025-10-15 22:45:00
                    [1] => 0.05326
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-16 01:45:00
                    [1] => 0.05185
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-16 02:45:00
                    [1] => 0.05328
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 05:30:00
                    [1] => 0.04976
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 06:15:00
                    [1] => 0.05296
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 09:30:00
                    [1] => 0.05349
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 12:30:00
                    [1] => 0.04109
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 15:00:00
                    [1] => 0.04716
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 16:45:00
                    [1] => 0.04495
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:15:00
                    [1] => 0.04672
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.44948630136985
            [ms_dist_from_last_low_pct] => 3.4705228031146
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 3.9377085650723
            [ms_bos_up] => 0
            [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 14:05:00
                    [1] => 0.04466
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 14:40:00
                    [1] => 0.04687
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 15:10:00
                    [1] => 0.04716
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 15:35:00
                    [1] => 0.0456
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 15:50:00
                    [1] => 0.04674
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 16:55:00
                    [1] => 0.04495
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 17:15:00
                    [1] => 0.04561
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.04639
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 18:30:00
                    [1] => 0.04547
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:25:00
                    [1] => 0.04672
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.44948630136985
            [ms_dist_from_last_low_pct] => 2.2872223444029
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 2.749065317792
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.45%
Dist From Last Low Pct
2.29%
Bars Since Swing High
0 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
2.75%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.21%
TP to Pivot Distance
0.0012
2.62%
DateTime Price Type
2025-10-16 14:05:00 0.04466 ↓ Low
2025-10-16 14:40:00 0.04687 ↑ High
2025-10-16 15:10:00 0.04716 ↑ High
2025-10-16 15:35:00 0.0456 ↓ Low
2025-10-16 15:50:00 0.04674 ↑ High
2025-10-16 16:55:00 0.04495 ↓ Low
2025-10-16 17:15:00 0.04561 ↑ High
2025-10-16 18:00:00 0.04639 ↑ High
2025-10-16 18:30:00 0.04547 ↓ Low
2025-10-16 19:25:00 0.04672 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.45%
Dist From Last Low Pct
3.47%
Bars Since Swing High
0 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
3.94%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0064
13.66%
TP to Pivot Distance
0.0048
10.40%
DateTime Price Type
2025-10-15 22:45:00 0.05326 ↑ High
2025-10-16 01:45:00 0.05185 ↓ Low
2025-10-16 02:45:00 0.05328 ↑ High
2025-10-16 05:30:00 0.04976 ↓ Low
2025-10-16 06:15:00 0.05296 ↑ High
2025-10-16 09:30:00 0.05349 ↑ High
2025-10-16 12:30:00 0.04109 ↓ Low
2025-10-16 15:00:00 0.04716 ↑ High
2025-10-16 16:45:00 0.04495 ↓ Low
2025-10-16 19:15:00 0.04672 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-13.05%
Dist From Last Low Pct
13.19%
Bars Since Swing High
10 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
30.18%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0117
24.88%
TP to Pivot Distance
0.0048
10.40%
DateTime Price Type
2025-10-13 20:00:00 0.05828 ↑ High
2025-10-14 02:00:00 0.04913 ↓ Low
2025-10-14 08:00:00 0.05005 ↓ Low
2025-10-14 12:00:00 0.05877 ↑ High
2025-10-15 04:00:00 0.05685 ↑ High
2025-10-15 17:00:00 0.05064 ↓ Low
2025-10-16 02:00:00 0.05328 ↑ High
2025-10-16 05:00:00 0.04976 ↓ Low
2025-10-16 09:00:00 0.05349 ↑ High
2025-10-16 12:00:00 0.04109 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
19:25:39		 16 Oct 2025
20:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04666 0.04706 0.04586 2 0.01713
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 0.04666
  • Stop Loss: 0.04706
  • Take Profit: 0.04586

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04706 - 0.04666 = 0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04666 - 0.04586 = 0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0008 / 0.0004 = 2

📌 Position Size

Amount Margin Quantity Leverage
927.6393 100 19880.8241 9.28
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 0.0004

Taille de position = 8 / 0.0004 = 20000

Taille de position USD = 20000 x 0.04666 = 933.2

Donc, tu peux acheter 20000 avec un stoploss a 0.04706

Avec un position size USD de 933.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0008 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 20000
  • Taille de position USD 933.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.71 % 15.9 $
SL % Target SL $ Target
0.86 % 7.95 $
PNL PNL %
-7.95 $ -0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.943 % 110 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04586
            [entry_price] => 0.04666
            [stop_loss] => 0.0471
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-16 20:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04586
            [entry_price] => 0.04666
            [stop_loss] => 0.04714
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-16 21:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04586
            [entry_price] => 0.04666
            [stop_loss] => 0.04718
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-16 21:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04586
            [entry_price] => 0.04666
            [stop_loss] => 0.04726
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-16 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00073
            [max_drawdown] => 0.00142
            [rr_ratio] => 0.51
            [high] => 0.04808000
            [low] => 0.04593000
            [mfe_pct] => 1.56
            [mae_pct] => 3.04
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T19:25:39-04:00
            [end_at] => 2025-10-16T21:25:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00122
            [max_drawdown] => 0.00142
            [rr_ratio] => 0.86
            [high] => 0.04808000
            [low] => 0.04544000
            [mfe_pct] => 2.61
            [mae_pct] => 3.04
            [mfe_mae_ratio] => 0.86
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T19:25:39-04:00
            [end_at] => 2025-10-17T02:25:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04674000
            [high_after] => 0.04808000
            [low_before] => 0.04495000
            [low_after] => 0.04593000
            [is_new_high] => 
            [is_new_low] => 
        )

)