Short Trade on AR 29 Aug 2025 at 17:53:03

Take profit at 6.3789 (0.78 %) and Stop Loss at 6.4624 (0.52 %)

Short Trade on AR

The 29 Aug 2025 at 17:53:03

With 239.416 AR at 6.429$ per unit.

Position size of 1539.2052 $

Take profit at 6.3789 (0.78 %) and Stop Loss at 6.4624 (0.52 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 10
Prediction Score: 3.325
Prediction 1 Probability
Weak Trade
0.97
Prediction 2 Probability
1 0.49
Prediction 3 Probability
0 0.94
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

BTC Correlation Score

5m : 0.692341

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.02227643133
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 6.4187
  4. ema21 : 6.5097
  5. ema50 : 6.5906
  6. ema100 : 6.6082
  7. price_ema9_diff : 0.00160326
  8. ema9_ema21_diff : -0.013979
  9. ema21_ema50_diff : -0.0122752
  10. price_ema100_diff : -0.0271192
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.427517
  14. adx : 0.222905
  15. kc_percentage : 0.332126
  16. kc_width_percentage : 0.069327
  17. volume_ema_diff : 0.0481836
  18. volume_ema1 : 140354.75754742
  19. volume_ema2 : 133902.82909805
  20. ¸
  21. 15m
  22. ema9 : 6.37899
  23. ema21 : 6.38548
  24. ema50 : 6.45109
  25. ema100 : 6.53759
  26. price_ema9_diff : 0.00783852
  27. ema9_ema21_diff : -0.00101528
  28. ema21_ema50_diff : -0.0101712
  29. price_ema100_diff : -0.0166109
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.552686
  33. adx : 0.300458
  34. kc_percentage : 0.758103
  35. kc_width_percentage : 0.0272715
  36. volume_ema_diff : -0.366869
  37. volume_ema1 : 26017.381326787
  38. volume_ema2 : 41093.211121429
  39. ¸
  40. 5m
  41. ema9 : 6.39479
  42. ema21 : 6.37349
  43. ema50 : 6.37341
  44. ema100 : 6.40204
  45. price_ema9_diff : 0.00534828
  46. ema9_ema21_diff : 0.00334211
  47. ema21_ema50_diff : 1.32221E-5
  48. price_ema100_diff : 0.00421096
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.692649
  52. adx : 0.201929
  53. kc_percentage : 1.14032
  54. kc_width_percentage : 0.0132702
  55. volume_ema_diff : -0.303444
  56. volume_ema1 : 7643.8252054403
  57. volume_ema2 : 10973.753331483
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    108405
  62. 5m_price_ema100_diff:
    -0.00057901
  63. 5m_price:
    108342
  64. 5m_correlation_with_coin:
    0.692341
  65. btc_indicators
  66. 15m_ema100:
    109730
  67. 15m_price_ema100_diff:
    -0.0123677
  68. 15m_price:
    108373
  69. btc_indicators
  70. 1H_ema100:
    111058
  71. 1H_price_ema100_diff:
    -0.0244492
  72. 1H_price:
    108342
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:53:03
29 Aug 2025
18:10:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.429 6.4624 6.3789 1.5 1.676
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 6.429
  • Stop Loss: 6.4624
  • Take Profit: 6.3789

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.4624 - 6.429 = 0.033399999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.429 - 6.3789 = 0.0501

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0501 / 0.033399999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1539.2052 100 239.416 15.39
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 0.033399999999999

Taille de position = 8 / 0.033399999999999 = 239.52

Taille de position USD = 239.52 x 6.429 = 1539.87

Donc, tu peux acheter 239.52 avec un stoploss a 6.4624

Avec un position size USD de 1539.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 239.52 x 0.033399999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 239.52 x 0.0501 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 239.52
  • Taille de position USD 1539.87
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.78 % 11.99 $
SL % Target SL $ Target
0.52 % 8 $
PNL PNL %
11.99 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 6.3622
            [stop_loss] => 6.4624
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 6.3455
            [stop_loss] => 6.4624
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 6.3288
            [stop_loss] => 6.4624
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 21:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 6.3121
            [stop_loss] => 6.4624
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 21:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 6.2954
            [stop_loss] => 6.4624
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 21:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 6.2787
            [stop_loss] => 6.4624
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 6.262
            [stop_loss] => 6.4624
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 21:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 6.2453
            [stop_loss] => 6.4624
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 6.2286
            [stop_loss] => 6.4624
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 21:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.058
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 6.42700000
            [low] => 6.37100000
            [mfe_pct] => 0.9
            [mae_pct] => -0.03
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:53:03-04:00
            [end_at] => 2025-08-29T19:53:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.214
            [max_drawdown] => 0.0099999999999998
            [rr_ratio] => 21.4
            [high] => 6.43900000
            [low] => 6.21500000
            [mfe_pct] => 3.33
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 21.4
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:53:03-04:00
            [end_at] => 2025-08-30T00:53:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.44400000
            [high_after] => 6.43900000
            [low_before] => 6.29100000
            [low_after] => 6.21500000
            [is_new_high] => 
            [is_new_low] => 1
        )

)