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Short Trade on MAV

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Short Trade on MAV 22 Sep 2025 at 14:08:42

Take profit at 0.06528 (1.92 %) and Stop Loss at 0.0672 (0.96 %)

Short Trade on MAV

The 22 Sep 2025 at 14:08:42

With 12457.2867 MAV at 0.06656$ per unit.

Position size of 829.157 $

Take profit at 0.06528 (1.92 %) and Stop Loss at 0.0672 (0.96 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -60
ML Pullback Score: 2.34
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.408907

15m : -0.084474

1H : -0.157658

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.000428129613
Details
  1. score: 1.17
  2. 1H
  3. ema9 : 0.0661584
  4. ema21 : 0.0675209
  5. ema50 : 0.0696718
  6. ema100 : 0.0714846
  7. price_ema9_diff : 0.00606899
  8. ema9_ema21_diff : -0.0201786
  9. ema21_ema50_diff : -0.0308711
  10. price_ema100_diff : -0.0688906
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.292546
  14. ema_slope_21 : -0.338846
  15. ema_slope_50 : -0.24209
  16. ema_slope_100 : -0.159939
  17. rsi : 0.431065
  18. adx : 0.293754
  19. kc_percentage : 0.37801
  20. kc_width_percentage : 0.105063
  21. volume_ema_diff : -0.405753
  22. volume_ema1 : 254658.68897604
  23. volume_ema2 : 428540.79085335
  24. chop : 38.193
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0654721
  28. ema21 : 0.0657177
  29. ema50 : 0.0666106
  30. ema100 : 0.0677887
  31. price_ema9_diff : 0.0166161
  32. ema9_ema21_diff : -0.00373827
  33. ema21_ema50_diff : -0.0134049
  34. price_ema100_diff : -0.018126
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0986257
  38. ema_slope_21 : -0.117669
  39. ema_slope_50 : -0.10527
  40. ema_slope_100 : -0.0850624
  41. rsi : 0.559236
  42. adx : 0.279793
  43. kc_percentage : 0.78385
  44. kc_width_percentage : 0.0461006
  45. volume_ema_diff : -0.290894
  46. volume_ema1 : 81224.711250372
  47. volume_ema2 : 114545.24672755
  48. chop : 59.8329
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0655314
  52. ema21 : 0.0653436
  53. ema50 : 0.0655668
  54. ema100 : 0.0661255
  55. price_ema9_diff : 0.0156951
  56. ema9_ema21_diff : 0.00287424
  57. ema21_ema50_diff : -0.00340427
  58. price_ema100_diff : 0.00657006
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0856995
  62. ema_slope_21 : 0.0310867
  63. ema_slope_50 : -0.0124821
  64. ema_slope_100 : -0.0250682
  65. rsi : 0.695548
  66. adx : 0.212315
  67. kc_percentage : 1.17428
  68. kc_width_percentage : 0.0270297
  69. volume_ema_diff : 0.678321
  70. volume_ema1 : 44950.050372636
  71. volume_ema2 : 26782.748042409
  72. chop : 34.6916
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112590
  77. 5m_price_ema100_diff: 
    -0.00121287
  78. 5m_price: 
    112453
  79. 5m_correlation_with_coin: 
    0.408907
  80. btc_indicators
  81. 15m_ema100: 
    113537
  82. 15m_price_ema100_diff: 
    -0.00954901
  83. 15m_price: 
    112453
  84. 15m_correlation_with_coin: 
    -0.084474
  85. btc_indicators
  86. 1H_ema100: 
    115157
  87. 1H_price_ema100_diff: 
    -0.0234837
  88. 1H_price: 
    112453
  89. 1H_correlation_with_coin: 
    -0.157658
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
14:08:42		 22 Sep 2025
15:00:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06656 0.0672 0.06528 2 0.01425
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 0.06656
  • Stop Loss: 0.0672
  • Take Profit: 0.06528

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0672 - 0.06656 = 0.00064

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06656 - 0.06528 = 0.00128

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00128 / 0.00064 = 2

📌 Position Size

Amount Margin Quantity Leverage
829.157 100 12457.2867 8.29
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 0.00064

Taille de position = 8 / 0.00064 = 12500

Taille de position USD = 12500 x 0.06656 = 832

Donc, tu peux acheter 12500 avec un stoploss a 0.0672

Avec un position size USD de 832$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12500 x 0.00064 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12500 x 0.00128 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 12500
  • Taille de position USD 832
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.92 % 15.95 $
SL % Target SL $ Target
0.96 % 7.97 $
PNL PNL %
-7.97 $ -0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0517 % 109.38 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06528
            [entry_price] => 0.06656
            [stop_loss] => 0.067264
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 15:35:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.06528
            [entry_price] => 0.06656
            [stop_loss] => 0.067328
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 15:35:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.06528
            [entry_price] => 0.06656
            [stop_loss] => 0.067392
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 15:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.06528
            [entry_price] => 0.06656
            [stop_loss] => 0.06752
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 15:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00165
            [max_drawdown] => 0.00070000000000001
            [rr_ratio] => 2.36
            [high] => 0.06726000
            [low] => 0.06491000
            [mfe_pct] => 2.48
            [mae_pct] => 1.05
            [mfe_mae_ratio] => 2.36
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T14:08:42-04:00
            [end_at] => 2025-09-22T16:08:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00165
            [max_drawdown] => 0.00216
            [rr_ratio] => 0.76
            [high] => 0.06872000
            [low] => 0.06491000
            [mfe_pct] => 2.48
            [mae_pct] => 3.25
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T14:08:42-04:00
            [end_at] => 2025-09-22T21:08:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06711000
            [high_after] => 0.06872000
            [low_before] => 0.06451000
            [low_after] => 0.06491000
            [is_new_high] => 
            [is_new_low] => 
        )

)