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Short Trade on MAV

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Short Trade on MAV 15 Sep 2025 at 14:22:57

Take profit at 0.06609 (1.93 %) and Stop Loss at 0.06804 (0.96 %)

Short Trade on MAV

The 15 Sep 2025 at 14:22:57

With 12344.9157 MAV at 0.06739$ per unit.

Position size of 831.9239 $

Take profit at 0.06609 (1.93 %) and Stop Loss at 0.06804 (0.96 %)

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
0.51
Prediction 2 Probability
1 0.65
Prediction 3 Probability
0 0.53
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 : range_medium
BTC Correlation Score

5m : 0.492663

15m : 0.111847

1H : -0.030044

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0004320267119
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.0674941
  4. ema21 : 0.0690416
  5. ema50 : 0.0701651
  6. ema100 : 0.070822
  7. price_ema9_diff : -0.00154276
  8. ema9_ema21_diff : -0.022414
  9. ema21_ema50_diff : -0.0160118
  10. price_ema100_diff : -0.0484601
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.610341
  14. ema_slope_21 : -0.399163
  15. ema_slope_50 : -0.184879
  16. ema_slope_100 : -0.100257
  17. rsi : 0.420376
  18. adx : 0.2744
  19. kc_percentage : 0.251853
  20. kc_width_percentage : 0.093528
  21. volume_ema_diff : -0.234815
  22. volume_ema1 : 273306.96090919
  23. volume_ema2 : 357178.01550141
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.066632
  27. ema21 : 0.0670041
  28. ema50 : 0.0683338
  29. ema100 : 0.069689
  30. price_ema9_diff : 0.0113747
  31. ema9_ema21_diff : -0.00555307
  32. ema21_ema50_diff : -0.0194587
  33. price_ema100_diff : -0.0329902
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.154147
  37. ema_slope_21 : -0.168853
  38. ema_slope_50 : -0.150925
  39. ema_slope_100 : -0.109553
  40. rsi : 0.497802
  41. adx : 0.475845
  42. kc_percentage : 0.634965
  43. kc_width_percentage : 0.047347
  44. volume_ema_diff : 0.113414
  45. volume_ema1 : 88791.957939178
  46. volume_ema2 : 79747.445639419
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.0668063
  50. ema21 : 0.0664537
  51. ema50 : 0.0666841
  52. ema100 : 0.067197
  53. price_ema9_diff : 0.008737
  54. ema9_ema21_diff : 0.00530525
  55. ema21_ema50_diff : -0.0034549
  56. price_ema100_diff : 0.00287082
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.120658
  60. ema_slope_21 : 0.0442766
  61. ema_slope_50 : -0.0144481
  62. ema_slope_100 : -0.0249772
  63. rsi : 0.635223
  64. adx : 0.317162
  65. kc_percentage : 1.01298
  66. kc_width_percentage : 0.0268429
  67. volume_ema_diff : 0.477889
  68. volume_ema1 : 40620.532760813
  69. volume_ema2 : 27485.493172468
  70. regime : range_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114768
  74. 5m_price_ema100_diff: 
    0.00101686
  75. 5m_price: 
    114885
  76. 5m_correlation_with_coin: 
    0.492663
  77. btc_indicators
  78. 15m_ema100: 
    115181
  79. 15m_price_ema100_diff: 
    -0.00243342
  80. 15m_price: 
    114901
  81. 15m_correlation_with_coin: 
    0.111847
  82. btc_indicators
  83. 1H_ema100: 
    115252
  84. 1H_price_ema100_diff: 
    -0.00318604
  85. 1H_price: 
    114885
  86. 1H_correlation_with_coin: 
    -0.030044
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:22:57		 15 Sep 2025
14:25:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06739 0.06804 0.06609 2 0.01448
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 0.06739
  • Stop Loss: 0.06804
  • Take Profit: 0.06609

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06804 - 0.06739 = 0.00065

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06739 - 0.06609 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00065 = 2

📌 Position Size

Amount Margin Quantity Leverage
831.9239 100 12344.9157 8.32
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 0.00065

Taille de position = 8 / 0.00065 = 12307.69

Taille de position USD = 12307.69 x 0.06739 = 829.42

Donc, tu peux acheter 12307.69 avec un stoploss a 0.06804

Avec un position size USD de 829.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12307.69 x 0.00065 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12307.69 x 0.0013 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 12307.69
  • Taille de position USD 829.42
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.93 % 16.05 $
SL % Target SL $ Target
0.96 % 8.02 $
PNL PNL %
-8.02 $ -0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.662 % 172.32 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06609
            [entry_price] => 0.06739
            [stop_loss] => 0.068105
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06609
            [entry_price] => 0.06739
            [stop_loss] => 0.06817
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06609
            [entry_price] => 0.06739
            [stop_loss] => 0.068235
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 14:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06609
            [entry_price] => 0.06739
            [stop_loss] => 0.068365
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 14:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00044999999999999
            [max_drawdown] => 0.00274
            [rr_ratio] => -0.16
            [high] => 0.07013000
            [low] => 0.06784000
            [mfe_pct] => -0.67
            [mae_pct] => 4.07
            [mfe_mae_ratio] => -0.16
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:22:57-04:00
            [end_at] => 2025-09-15T16:22:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.0000000000012E-5
            [max_drawdown] => 0.00274
            [rr_ratio] => 0.01
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 0.06
            [mae_pct] => 4.07
            [mfe_mae_ratio] => 0.01
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:22:57-04:00
            [end_at] => 2025-09-15T21:22:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06890000
            [high_after] => 0.07013000
            [low_before] => 0.06516000
            [low_after] => 0.06735000
            [is_new_high] => 
            [is_new_low] => 
        )

)