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Short Trade on MAV

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Short Trade on MAV 15 Sep 2025 at 14:58:28

Take profit at 0.06727 (2.2 %) and Stop Loss at 0.06954 (1.1 %)

Short Trade on MAV

The 15 Sep 2025 at 14:58:28

With 10582.0046 MAV at 0.06878$ per unit.

Position size of 727.8303 $

Take profit at 0.06727 (2.2 %) and Stop Loss at 0.06954 (1.1 %)

That's a 1.99 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.36
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.59
Prediction 3 Probability
1 0.73
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.480799

15m : 0.107449

1H : -0.205264

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0005040002834
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 0.0677721
  4. ema21 : 0.0691679
  5. ema50 : 0.0702196
  6. ema100 : 0.0708495
  7. price_ema9_diff : 0.0148714
  8. ema9_ema21_diff : -0.0201807
  9. ema21_ema50_diff : -0.0149761
  10. price_ema100_diff : -0.0292108
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.578531
  14. ema_slope_21 : -0.384642
  15. ema_slope_50 : -0.178549
  16. ema_slope_100 : -0.0970581
  17. rsi : 0.472895
  18. adx : 0.263222
  19. kc_percentage : 0.455429
  20. kc_width_percentage : 0.0999543
  21. volume_ema_diff : 0.0677141
  22. volume_ema1 : 396887.37667612
  23. volume_ema2 : 371716.88794458
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.0676329
  27. ema21 : 0.0674328
  28. ema50 : 0.0684259
  29. ema100 : 0.0696978
  30. price_ema9_diff : 0.0169602
  31. ema9_ema21_diff : 0.00296745
  32. ema21_ema50_diff : -0.0145136
  33. price_ema100_diff : -0.0131685
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0348807
  37. ema_slope_21 : -0.0744677
  38. ema_slope_50 : -0.110994
  39. ema_slope_100 : -0.0913697
  40. rsi : 0.6343
  41. adx : 0.434768
  42. kc_percentage : 0.898361
  43. kc_width_percentage : 0.0498157
  44. volume_ema_diff : 0.166088
  45. volume_ema1 : 97948.848239909
  46. volume_ema2 : 83997.813913618
  47. regime : range_high
    48. ¸
  48. 5m
  49. ema9 : 0.0684234
  50. ema21 : 0.0676137
  51. ema50 : 0.0672098
  52. ema100 : 0.0674245
  53. price_ema9_diff : 0.00521036
  54. ema9_ema21_diff : 0.0119766
  55. ema21_ema50_diff : 0.00600941
  56. price_ema100_diff : 0.0201031
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.319862
  60. ema_slope_21 : 0.204179
  61. ema_slope_50 : 0.0791401
  62. ema_slope_100 : 0.0255418
  63. rsi : 0.67474
  64. adx : 0.441752
  65. kc_percentage : 1.03088
  66. kc_width_percentage : 0.0307193
  67. volume_ema_diff : 0.370779
  68. volume_ema1 : 45494.333618717
  69. volume_ema2 : 33188.661269755
  70. regime : bull_medium
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114794
  74. 5m_price_ema100_diff: 
    0.00434188
  75. 5m_price: 
    115292
  76. 5m_correlation_with_coin: 
    0.480799
  77. btc_indicators
  78. 15m_ema100: 
    115159
  79. 15m_price_ema100_diff: 
    -0.000864125
  80. 15m_price: 
    115060
  81. 15m_correlation_with_coin: 
    0.107449
  82. btc_indicators
  83. 1H_ema100: 
    115260
  84. 1H_price_ema100_diff: 
    0.000277076
  85. 1H_price: 
    115292
  86. 1H_correlation_with_coin: 
    -0.205264
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:58:28		 15 Sep 2025
15:05:00		 6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06878 0.06954 0.06727 1.99 0.01446
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 0.06878
  • Stop Loss: 0.06954
  • Take Profit: 0.06727

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06954 - 0.06878 = 0.00076000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06878 - 0.06727 = 0.00151

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00151 / 0.00076000000000001 = 1.9868

📌 Position Size

Amount Margin Quantity Leverage
727.8303 100 10582.0046 7.28
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 0.00076000000000001

Taille de position = 8 / 0.00076000000000001 = 10526.32

Taille de position USD = 10526.32 x 0.06878 = 724

Donc, tu peux acheter 10526.32 avec un stoploss a 0.06954

Avec un position size USD de 724$

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 0.00151 = 15.89

Si Take Profit atteint, tu gagneras 15.89$

Résumé

  • Taille de position 10526.32
  • Taille de position USD 724
  • Perte potentielle 8
  • Gain potentiel 15.89
  • Risk-Reward Ratio 1.9868

📌 Peformances

TP % Target TP $ Target
2.2 % 15.98 $
SL % Target SL $ Target
1.1 % 8.04 $
PNL PNL %
-8.04 $ -1.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.6865 % 152.62 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06727
            [entry_price] => 0.06878
            [stop_loss] => 0.069616
            [rr_ratio] => 1.81
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06727
            [entry_price] => 0.06878
            [stop_loss] => 0.069692
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06727
            [entry_price] => 0.06878
            [stop_loss] => 0.069768
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06727
            [entry_price] => 0.06878
            [stop_loss] => 0.06992
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00143
            [max_drawdown] => 0.00135
            [rr_ratio] => 1.06
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 2.08
            [mae_pct] => 1.96
            [mfe_mae_ratio] => 1.06
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:58:28-04:00
            [end_at] => 2025-09-15T16:58:28-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00143
            [max_drawdown] => 0.00166
            [rr_ratio] => 0.86
            [high] => 0.07044000
            [low] => 0.06735000
            [mfe_pct] => 2.08
            [mae_pct] => 2.41
            [mfe_mae_ratio] => 0.86
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:58:28-04:00
            [end_at] => 2025-09-15T21:58:28-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06939000
            [high_after] => 0.07013000
            [low_before] => 0.06516000
            [low_after] => 0.06735000
            [is_new_high] => 
            [is_new_low] => 
        )

)