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Short Trade on SSV

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Short Trade on SSV 05 Nov 2025 at 07:04:10

Take profit at 3.782 (1.05 %) and Stop Loss at 3.842 (0.52 %)

Short Trade on SSV

The 05 Nov 2025 at 07:04:10

With 400.041 SSV at 3.822$ per unit.

Position size of 1528.9566 $

Take profit at 3.782 (1.05 %) and Stop Loss at 3.842 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.12
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.74
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.540222

15m : 0.041288

1H : 0.099408

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.41
  4. atr: 0.01333196791
Details
  1. score: 1.41
  2. 1H
  3. ema9 : 3.80319
  4. ema21 : 3.84722
  5. ema50 : 4.02795
  6. ema100 : 4.26532
  7. price_ema9_diff : 0.0049439
  8. ema9_ema21_diff : -0.0114449
  9. ema21_ema50_diff : -0.0448683
  10. price_ema100_diff : -0.103937
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0280064
  14. ema_slope_21 : -0.16245
  15. ema_slope_50 : -0.261068
  16. ema_slope_100 : -0.230293
  17. rsi : 0.457739
  18. adx : 0.391769
  19. kc_percentage : 0.444561
  20. kc_width_percentage : 0.0952425
  21. volume_ema_diff : -0.728531
  22. volume_ema1 : 38090.79368947
  23. volume_ema2 : 140313.89685431
  24. chop : 61.4937
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.78144
  28. ema21 : 3.78402
  29. ema50 : 3.8054
  30. ema100 : 3.84944
  31. price_ema9_diff : 0.0107249
  32. ema9_ema21_diff : -0.000682891
  33. ema21_ema50_diff : -0.00561696
  34. price_ema100_diff : -0.00712888
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0240503
  38. ema_slope_21 : -0.0420292
  39. ema_slope_50 : -0.0443404
  40. ema_slope_100 : -0.0455263
  41. rsi : 0.561222
  42. adx : 0.165091
  43. kc_percentage : 0.835471
  44. kc_width_percentage : 0.0301955
  45. volume_ema_diff : -0.840209
  46. volume_ema1 : 4446.8240602565
  47. volume_ema2 : 27829.114718963
  48. chop : 51.7492
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 3.7896
  52. ema21 : 3.77399
  53. ema50 : 3.777
  54. ema100 : 3.80275
  55. price_ema9_diff : 0.00854964
  56. ema9_ema21_diff : 0.00413443
  57. ema21_ema50_diff : -0.000796284
  58. price_ema100_diff : 0.00506017
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.105661
  62. ema_slope_21 : 0.0451942
  63. ema_slope_50 : 0.00261801
  64. ema_slope_100 : -0.0151328
  65. rsi : 0.687723
  66. adx : 0.25624
  67. kc_percentage : 1.4092
  68. kc_width_percentage : 0.0136412
  69. volume_ema_diff : -0.800655
  70. volume_ema1 : 763.64415544878
  71. volume_ema2 : 3830.7700662539
  72. chop : 21.8234
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    101777
  77. 5m_price_ema100_diff: 
    0.00176098
  78. 5m_price: 
    101957
  79. 5m_correlation_with_coin: 
    0.540222
  80. btc_indicators
  81. 15m_ema100: 
    102015
  82. 15m_price_ema100_diff: 
    -0.000569849
  83. 15m_price: 
    101957
  84. 15m_correlation_with_coin: 
    0.041288
  85. btc_indicators
  86. 1H_ema100: 
    105738
  87. 1H_price_ema100_diff: 
    -0.0357631
  88. 1H_price: 
    101957
  89. 1H_correlation_with_coin: 
    0.099408
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
05 Nov 2025
07:04:10		 05 Nov 2025
07:20:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.822 3.842 3.782 2 3.027
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 3.822
  • Stop Loss: 3.842
  • Take Profit: 3.782

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.842 - 3.822 = 0.02

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.822 - 3.782 = 0.04

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.04 / 0.02 = 2

📌 Position Size

Amount Margin Quantity Leverage
1528.9566 100 400.041 15.29
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 0.02

Taille de position = 8 / 0.02 = 400

Taille de position USD = 400 x 3.822 = 1528.8

Donc, tu peux acheter 400 avec un stoploss a 3.842

Avec un position size USD de 1528.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 400 x 0.02 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 400 x 0.04 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 400
  • Taille de position USD 1528.8
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.05 % 16 $
SL % Target SL $ Target
0.52 % 8 $
PNL PNL %
-8 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5233 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.782
            [entry_price] => 3.822
            [stop_loss] => 3.844
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-05 07:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.782
            [entry_price] => 3.822
            [stop_loss] => 3.846
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-05 07:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.782
            [entry_price] => 3.822
            [stop_loss] => 3.848
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-05 07:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.782
            [entry_price] => 3.822
            [stop_loss] => 3.852
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-05 07:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.102
            [rr_ratio] => 0.11
            [high] => 3.92400000
            [low] => 3.81100000
            [mfe_pct] => 0.29
            [mae_pct] => 2.67
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-11-05T07:04:10-05:00
            [end_at] => 2025-11-05T09:04:10-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.216
            [rr_ratio] => 0.05
            [high] => 4.03800000
            [low] => 3.81100000
            [mfe_pct] => 0.29
            [mae_pct] => 5.65
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-11-05T07:04:10-05:00
            [end_at] => 2025-11-05T14:04:10-05:00
        )

    [breakout] => Array
        (
            [high_before] => 3.82200000
            [high_after] => 3.95500000
            [low_before] => 3.69600000
            [low_after] => 3.81100000
            [is_new_high] => 
            [is_new_low] => 
        )

)