Short Trade on MAV 15 Sep 2025 at 14:47:32

Take profit at 0.06743 (2.13 %) and Stop Loss at 0.06963 (1.06 %)

Short Trade on MAV

The 15 Sep 2025 at 14:47:32

With 10885.7703 MAV at 0.0689$ per unit.

Position size of 750.0296 $

Take profit at 0.06743 (2.13 %) and Stop Loss at 0.06963 (1.06 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.76
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.64
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 : 0.496412

15m : -0.029749

1H : 0.030239

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.25
  4. atr: 0.0004899362353
Details
  1. score: 1.25
  2. 1H
  3. ema9 : 0.0677961
  4. ema21 : 0.0691789
  5. ema50 : 0.0702243
  6. ema100 : 0.0708519
  7. price_ema9_diff : 0.0162822
  8. ema9_ema21_diff : -0.0199883
  9. ema21_ema50_diff : -0.0148868
  10. price_ema100_diff : -0.0275497
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.575785
  14. ema_slope_21 : -0.383388
  15. ema_slope_50 : -0.178003
  16. ema_slope_100 : -0.0967819
  17. rsi : 0.476986
  18. adx : 0.264115
  19. kc_percentage : 0.471003
  20. kc_width_percentage : 0.0990255
  21. volume_ema_diff : -0.0223735
  22. volume_ema1 : 359048.18684932
  23. volume_ema2 : 367265.21855319
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.0675509
  28. ema21 : 0.0673955
  29. ema50 : 0.0684098
  30. ema100 : 0.0696897
  31. price_ema9_diff : 0.0199711
  32. ema9_ema21_diff : 0.00230544
  33. ema21_ema50_diff : -0.0148268
  34. price_ema100_diff : -0.0113317
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0247348
  38. ema_slope_21 : -0.0790327
  39. ema_slope_50 : -0.112926
  40. ema_slope_100 : -0.0923298
  41. rsi : 0.61118
  42. adx : 0.433593
  43. kc_percentage : 0.963728
  44. kc_width_percentage : 0.047697
  45. volume_ema_diff : 0.115091
  46. volume_ema1 : 93018.443838042
  47. volume_ema2 : 83417.766336928
  48. regime : range_high
  49. ¸
  50. 5m
  51. ema9 : 0.0681034
  52. ema21 : 0.0673165
  53. ema50 : 0.0670569
  54. ema100 : 0.0673593
  55. price_ema9_diff : 0.0116961
  56. ema9_ema21_diff : 0.0116902
  57. ema21_ema50_diff : 0.00387022
  58. price_ema100_diff : 0.0228716
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.288726
  62. ema_slope_21 : 0.167064
  63. ema_slope_50 : 0.0539993
  64. ema_slope_100 : 0.0111168
  65. rsi : 0.741562
  66. adx : 0.410041
  67. kc_percentage : 1.24947
  68. kc_width_percentage : 0.0299213
  69. volume_ema_diff : 0.153699
  70. volume_ema1 : 36134.007544596
  71. volume_ema2 : 31320.121805658
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114782
  77. 5m_price_ema100_diff:
    0.00161315
  78. 5m_price:
    114967
  79. 5m_correlation_with_coin:
    0.496412
  80. btc_indicators
  81. 15m_ema100:
    115158
  82. 15m_price_ema100_diff:
    -0.00165317
  83. 15m_price:
    114967
  84. 15m_correlation_with_coin:
    -0.029749
  85. btc_indicators
  86. 1H_ema100:
    115254
  87. 1H_price_ema100_diff:
    -0.00248861
  88. 1H_price:
    114967
  89. 1H_correlation_with_coin:
    0.030239
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:47:32
15 Sep 2025
15:05:00
17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0689 0.06963 0.06743 2.01 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 0.0689
  • Stop Loss: 0.06963
  • Take Profit: 0.06743

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06963 - 0.0689 = 0.00072999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0689 - 0.06743 = 0.00147

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00147 / 0.00072999999999999 = 2.0137

📌 Position Size

Amount Margin Quantity Leverage
750.0296 100 10885.7703 7.50
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 0.00072999999999999

Taille de position = 8 / 0.00072999999999999 = 10958.9

Taille de position USD = 10958.9 x 0.0689 = 755.07

Donc, tu peux acheter 10958.9 avec un stoploss a 0.06963

Avec un position size USD de 755.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10958.9 x 0.00072999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10958.9 x 0.00147 = 16.11

Si Take Profit atteint, tu gagneras 16.11$

Résumé

  • Taille de position 10958.9
  • Taille de position USD 755.07
  • Perte potentielle 8
  • Gain potentiel 16.11
  • Risk-Reward Ratio 2.0137

📌 Peformances

TP % Target TP $ Target
2.13 % 16 $
SL % Target SL $ Target
1.06 % 7.95 $
PNL PNL %
-7.95 $ -1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.5094 % 142.46 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06743
            [entry_price] => 0.0689
            [stop_loss] => 0.069703
            [rr_ratio] => 1.83
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06743
            [entry_price] => 0.0689
            [stop_loss] => 0.069776
            [rr_ratio] => 1.68
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06743
            [entry_price] => 0.0689
            [stop_loss] => 0.069849
            [rr_ratio] => 1.55
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06743
            [entry_price] => 0.0689
            [stop_loss] => 0.069995
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 15:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00155
            [max_drawdown] => 0.00123
            [rr_ratio] => 1.26
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 2.25
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:47:32-04:00
            [end_at] => 2025-09-15T16:47:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00155
            [max_drawdown] => 0.00123
            [rr_ratio] => 1.26
            [high] => 0.07013000
            [low] => 0.06735000
            [mfe_pct] => 2.25
            [mae_pct] => 1.79
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:47:32-04:00
            [end_at] => 2025-09-15T21:47:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06937000
            [high_after] => 0.07013000
            [low_before] => 0.06516000
            [low_after] => 0.06735000
            [is_new_high] => 
            [is_new_low] => 
        )

)