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Short Trade on MAV

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Short Trade on MAV 15 Sep 2025 at 14:37:31

Take profit at 0.06765 (2.2 %) and Stop Loss at 0.06993 (1.1 %)

Short Trade on MAV

The 15 Sep 2025 at 14:37:31

With 10496.6789 MAV at 0.06917$ per unit.

Position size of 726.0553 $

Take profit at 0.06765 (2.2 %) and Stop Loss at 0.06993 (1.1 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 2.66
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.85
Prediction 2 Probability
1 0.51
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.49034

15m : 0.041447

1H : -0.228369

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.45
  4. atr: 0.0005080972161
Details
  1. score: 1.45
  2. 1H
  3. ema9 : 0.0678501
  4. ema21 : 0.0692034
  5. ema50 : 0.0702349
  6. ema100 : 0.0708572
  7. price_ema9_diff : 0.0194527
  8. ema9_ema21_diff : -0.0195556
  9. ema21_ema50_diff : -0.0146858
  10. price_ema100_diff : -0.0238126
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.569606
  14. ema_slope_21 : -0.380568
  15. ema_slope_50 : -0.176773
  16. ema_slope_100 : -0.0961603
  17. rsi : 0.485963
  18. adx : 0.264115
  19. kc_percentage : 0.506807
  20. kc_width_percentage : 0.0986389
  21. volume_ema_diff : -0.0807155
  22. volume_ema1 : 335022.82779772
  23. volume_ema2 : 364438.70572359
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0672096
  27. ema21 : 0.0672433
  28. ema50 : 0.0683921
  29. ema100 : 0.0697273
  30. price_ema9_diff : 0.0291675
  31. ema9_ema21_diff : -0.000500289
  32. ema21_ema50_diff : -0.0167974
  33. price_ema100_diff : -0.00799328
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0390727
  37. ema_slope_21 : -0.114484
  38. ema_slope_50 : -0.128678
  39. ema_slope_100 : -0.100175
  40. rsi : 0.597608
  41. adx : 0.452896
  42. kc_percentage : 1.06324
  43. kc_width_percentage : 0.050213
  44. volume_ema_diff : 0.252683
  45. volume_ema1 : 102667.9924793
  46. volume_ema2 : 81958.463772909
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0678173
  50. ema21 : 0.0670548
  51. ema50 : 0.0669374
  52. ema100 : 0.0673395
  53. price_ema9_diff : 0.0199448
  54. ema9_ema21_diff : 0.0113711
  55. ema21_ema50_diff : 0.00175403
  56. price_ema100_diff : 0.0271819
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.250589
  60. ema_slope_21 : 0.128851
  61. ema_slope_50 : 0.0296692
  62. ema_slope_100 : -0.00314134
  63. rsi : 0.761847
  64. adx : 0.376905
  65. kc_percentage : 1.44954
  66. kc_width_percentage : 0.0317159
  67. volume_ema_diff : 0.648832
  68. volume_ema1 : 51886.409504823
  69. volume_ema2 : 31468.583615307
  70. regime : bull_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114767
  74. 5m_price_ema100_diff: 
    0.00132934
  75. 5m_price: 
    114920
  76. 5m_correlation_with_coin: 
    0.49034
  77. btc_indicators
  78. 15m_ema100: 
    115164
  79. 15m_price_ema100_diff: 
    -0.00246931
  80. 15m_price: 
    114880
  81. 15m_correlation_with_coin: 
    0.041447
  82. btc_indicators
  83. 1H_ema100: 
    115253
  84. 1H_price_ema100_diff: 
    -0.0028909
  85. 1H_price: 
    114920
  86. 1H_correlation_with_coin: 
    -0.228369
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:37:31		 15 Sep 2025
15:05:00		 27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06917 0.06993 0.06765 2 0.01429
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 0.06917
  • Stop Loss: 0.06993
  • Take Profit: 0.06765

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06993 - 0.06917 = 0.00076000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06917 - 0.06765 = 0.00152

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00152 / 0.00076000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
726.0553 100 10496.6789 7.26
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 0.00076000000000001

Taille de position = 8 / 0.00076000000000001 = 10526.32

Taille de position USD = 10526.32 x 0.06917 = 728.11

Donc, tu peux acheter 10526.32 avec un stoploss a 0.06993

Avec un position size USD de 728.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10526.32 x 0.00076000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10526.32 x 0.00152 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10526.32
  • Taille de position USD 728.11
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.2 % 15.95 $
SL % Target SL $ Target
1.1 % 7.98 $
PNL PNL %
-7.98 $ -1.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.1132 % 101.32 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06765
            [entry_price] => 0.06917
            [stop_loss] => 0.070006
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06765
            [entry_price] => 0.06917
            [stop_loss] => 0.070082
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06765
            [entry_price] => 0.06917
            [stop_loss] => 0.070158
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 16:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.06765
            [entry_price] => 0.06917
            [stop_loss] => 0.07031
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 16:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00182
            [max_drawdown] => 0.00096
            [rr_ratio] => 1.9
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 2.63
            [mae_pct] => 1.39
            [mfe_mae_ratio] => 1.9
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:37:31-04:00
            [end_at] => 2025-09-15T16:37:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00182
            [max_drawdown] => 0.00096
            [rr_ratio] => 1.9
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 2.63
            [mae_pct] => 1.39
            [mfe_mae_ratio] => 1.9
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:37:31-04:00
            [end_at] => 2025-09-15T21:37:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06926000
            [high_after] => 0.07013000
            [low_before] => 0.06516000
            [low_after] => 0.06735000
            [is_new_high] => 
            [is_new_low] => 
        )

)