Short Trade on AR 22 Sep 2025 at 16:57:56

Take profit at 5.936 (0.9 %) and Stop Loss at 6.017 (0.45 %)

Short Trade on AR

The 22 Sep 2025 at 16:57:56

With 296.3173 AR at 5.99$ per unit.

Position size of 1774.9408 $

Take profit at 5.936 (0.9 %) and Stop Loss at 6.017 (0.45 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.05
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
1 0.34
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.533056

15m : -0.047791

1H : -0.007831

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.01799872218
Details
  1. score: 1
  2. 1H
  3. ema9 : 5.98873
  4. ema21 : 6.12683
  5. ema50 : 6.38456
  6. ema100 : 6.63223
  7. price_ema9_diff : 0.000210902
  8. ema9_ema21_diff : -0.0225396
  9. ema21_ema50_diff : -0.0403671
  10. price_ema100_diff : -0.0968349
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.361423
  14. ema_slope_21 : -0.413767
  15. ema_slope_50 : -0.311811
  16. ema_slope_100 : -0.215378
  17. rsi : 0.343334
  18. adx : 0.637755
  19. kc_percentage : 0.168327
  20. kc_width_percentage : 0.0629485
  21. volume_ema_diff : -0.278053
  22. volume_ema1 : 119160.34437364
  23. volume_ema2 : 165054.19168457
  24. chop : 68.0804
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 5.95219
  29. ema21 : 5.96031
  30. ema50 : 6.02592
  31. ema100 : 6.16808
  32. price_ema9_diff : 0.00635157
  33. ema9_ema21_diff : -0.0013623
  34. ema21_ema50_diff : -0.0108875
  35. price_ema100_diff : -0.0288722
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.0209269
  39. ema_slope_21 : -0.0298455
  40. ema_slope_50 : -0.0632654
  41. ema_slope_100 : -0.0785938
  42. rsi : 0.507793
  43. adx : 0.269147
  44. kc_percentage : 0.734209
  45. kc_width_percentage : 0.0220042
  46. volume_ema_diff : -0.538565
  47. volume_ema1 : 18469.127100041
  48. volume_ema2 : 40025.481091471
  49. chop : 53.5613
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 5.96741
  54. ema21 : 5.95475
  55. ema50 : 5.95707
  56. ema100 : 5.97036
  57. price_ema9_diff : 0.00378444
  58. ema9_ema21_diff : 0.002126
  59. ema21_ema50_diff : -0.000389459
  60. price_ema100_diff : 0.00328876
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0663094
  64. ema_slope_21 : 0.0200918
  65. ema_slope_50 : -0.000420282
  66. ema_slope_100 : -0.00590332
  67. rsi : 0.646015
  68. adx : 0.287561
  69. kc_percentage : 1.00009
  70. kc_width_percentage : 0.0116529
  71. volume_ema_diff : -0.602668
  72. volume_ema1 : 3793.970321097
  73. volume_ema2 : 9548.6182421282
  74. chop : 31.0481
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112508
  80. 5m_price_ema100_diff:
    0.00306137
  81. 5m_price:
    112852
  82. 5m_correlation_with_coin:
    0.533056
  83. btc_indicators
  84. 15m_ema100:
    113306
  85. 15m_price_ema100_diff:
    -0.00635826
  86. 15m_price:
    112586
  87. 15m_correlation_with_coin:
    -0.047791
  88. btc_indicators
  89. 1H_ema100:
    115052
  90. 1H_price_ema100_diff:
    -0.0191194
  91. 1H_price:
    112852
  92. 1H_correlation_with_coin:
    -0.007831
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:57:56
22 Sep 2025
17:25:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.99 6.017 5.936 2 1.505
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 5.99
  • Stop Loss: 6.017
  • Take Profit: 5.936

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 6.017 - 5.99 = 0.027

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.99 - 5.936 = 0.054

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.054 / 0.027 = 2

📌 Position Size

Amount Margin Quantity Leverage
1774.9408 100 296.3173 17.75
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 0.027

Taille de position = 8 / 0.027 = 296.3

Taille de position USD = 296.3 x 5.99 = 1774.84

Donc, tu peux acheter 296.3 avec un stoploss a 6.017

Avec un position size USD de 1774.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 296.3 x 0.027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 296.3 x 0.054 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 296.3
  • Taille de position USD 1774.84
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.9 % 16 $
SL % Target SL $ Target
0.45 % 8 $
PNL PNL %
-8 $ -0.45
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4508 % 100 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.936
            [entry_price] => 5.99
            [stop_loss] => 6.0197
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.936
            [entry_price] => 5.99
            [stop_loss] => 6.0224
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.936
            [entry_price] => 5.99
            [stop_loss] => 6.0251
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.936
            [entry_price] => 5.99
            [stop_loss] => 6.0305
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.047
            [rr_ratio] => 0.34
            [high] => 6.03700000
            [low] => 5.97400000
            [mfe_pct] => 0.27
            [mae_pct] => 0.78
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:57:56-04:00
            [end_at] => 2025-09-22T18:57:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.121
            [max_drawdown] => 0.093999999999999
            [rr_ratio] => 1.29
            [high] => 6.08400000
            [low] => 5.86900000
            [mfe_pct] => 2.02
            [mae_pct] => 1.57
            [mfe_mae_ratio] => 1.29
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:57:56-04:00
            [end_at] => 2025-09-22T23:57:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.00300000
            [high_after] => 6.08400000
            [low_before] => 5.87500000
            [low_after] => 5.89500000
            [is_new_high] => 
            [is_new_low] => 
        )

)