Short Trade on AVL 17 Sep 2025 at 23:08:36

Take profit at 0.1761 (1.68 %) and Stop Loss at 0.1806 (0.84 %)

Short Trade on AVL

The 17 Sep 2025 at 23:08:36

With 5327.4341 AVL at 0.1791$ per unit.

Position size of 954.1434 $

Take profit at 0.1761 (1.68 %) and Stop Loss at 0.1806 (0.84 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.79
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
0 0.5
Prediction 3 Probability
1 0.55
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.216262

15m : 0.065864

1H : 0.138941

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001001107332
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.178295
  4. ema21 : 0.180953
  5. ema50 : 0.18295
  6. ema100 : 0.179638
  7. price_ema9_diff : 0.00451127
  8. ema9_ema21_diff : -0.0146876
  9. ema21_ema50_diff : -0.0109132
  10. price_ema100_diff : -0.00299582
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.305634
  14. ema_slope_21 : -0.235047
  15. ema_slope_50 : -0.110928
  16. ema_slope_100 : -0.00647872
  17. rsi : 0.459328
  18. adx : 0.154775
  19. kc_percentage : 0.416478
  20. kc_width_percentage : 0.111149
  21. volume_ema_diff : -0.491677
  22. volume_ema1 : 159143.86476466
  23. volume_ema2 : 313076.77554341
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.176599
  28. ema21 : 0.176761
  29. ema50 : 0.179031
  30. ema100 : 0.180997
  31. price_ema9_diff : 0.0141574
  32. ema9_ema21_diff : -0.000916591
  33. ema21_ema50_diff : -0.0126773
  34. price_ema100_diff : -0.0104837
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0354232
  38. ema_slope_21 : -0.075293
  39. ema_slope_50 : -0.0942559
  40. ema_slope_100 : -0.0668814
  41. rsi : 0.571145
  42. adx : 0.184305
  43. kc_percentage : 0.808059
  44. kc_width_percentage : 0.0437236
  45. volume_ema_diff : -0.21095
  46. volume_ema1 : 43996.010648013
  47. volume_ema2 : 55758.249003073
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.177497
  52. ema21 : 0.176593
  53. ema50 : 0.176305
  54. ema100 : 0.177046
  55. price_ema9_diff : 0.00902729
  56. ema9_ema21_diff : 0.00512
  57. ema21_ema50_diff : 0.00163275
  58. price_ema100_diff : 0.0115976
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0803946
  62. ema_slope_21 : 0.0625642
  63. ema_slope_50 : 0.0206995
  64. ema_slope_100 : -0.00130518
  65. rsi : 0.676963
  66. adx : 0.30277
  67. kc_percentage : 1.11693
  68. kc_width_percentage : 0.022229
  69. volume_ema_diff : 0.0428367
  70. volume_ema1 : 18412.208652428
  71. volume_ema2 : 17655.888012462
  72. regime : bull_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116171
  77. 5m_price_ema100_diff:
    0.00892505
  78. 5m_price:
    117208
  79. 5m_correlation_with_coin:
    0.216262
  80. btc_indicators
  81. 15m_ema100:
    116273
  82. 15m_price_ema100_diff:
    0.00804103
  83. 15m_price:
    117208
  84. 15m_correlation_with_coin:
    0.065864
  85. btc_indicators
  86. 1H_ema100:
    115941
  87. 1H_price_ema100_diff:
    0.0109329
  88. 1H_price:
    117208
  89. 1H_correlation_with_coin:
    0.138941
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
23:08:36
17 Sep 2025
23:15:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1791 0.1806 0.1761 2 0.0769
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 0.1791
  • Stop Loss: 0.1806
  • Take Profit: 0.1761

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1806 - 0.1791 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1791 - 0.1761 = 0.003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.003 / 0.0015 = 2

📌 Position Size

Amount Margin Quantity Leverage
954.1434 100 5327.4341 9.54
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.1791 = 955.2

Donc, tu peux acheter 5333.33 avec un stoploss a 0.1806

Avec un position size USD de 955.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.003 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 955.2
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.68 % 15.98 $
SL % Target SL $ Target
0.84 % 7.99 $
PNL PNL %
-7.99 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.005 % 120 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1761
            [entry_price] => 0.1791
            [stop_loss] => 0.18075
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 23:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1761
            [entry_price] => 0.1791
            [stop_loss] => 0.1809
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 23:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1761
            [entry_price] => 0.1791
            [stop_loss] => 0.18105
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 23:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1761
            [entry_price] => 0.1791
            [stop_loss] => 0.18135
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 23:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0021
            [max_drawdown] => 0.0025
            [rr_ratio] => 0.84
            [high] => 0.18160000
            [low] => 0.17700000
            [mfe_pct] => 1.17
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 0.84
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T23:08:36-04:00
            [end_at] => 2025-09-18T01:08:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0033
            [max_drawdown] => 0.0166
            [rr_ratio] => 0.2
            [high] => 0.19570000
            [low] => 0.17580000
            [mfe_pct] => 1.84
            [mae_pct] => 9.27
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T23:08:36-04:00
            [end_at] => 2025-09-18T06:08:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17950000
            [high_after] => 0.19570000
            [low_before] => 0.17200000
            [low_after] => 0.17580000
            [is_new_high] => 
            [is_new_low] => 
        )

)