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Short Trade on AR

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Short Trade on AR 15 Sep 2025 at 17:28:02

Take profit at 6.9656 (0.72 %) and Stop Loss at 7.0412 (0.36 %)

Short Trade on AR

The 15 Sep 2025 at 17:28:02

With 317.5425 AR at 7.016$ per unit.

Position size of 2227.8781 $

Take profit at 6.9656 (0.72 %) and Stop Loss at 7.0412 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 2.93
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.78
Prediction 3 Probability
0 0.88
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_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.743608

15m : 0.083322

1H : -0.051666

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.11
  4. atr: 0.01679565262
Details
  1. score: 1.11
  2. 1H
  3. ema9 : 6.96448
  4. ema21 : 7.04113
  5. ema50 : 7.19237
  6. ema100 : 7.26697
  7. price_ema9_diff : 0.00739722
  8. ema9_ema21_diff : -0.0108859
  9. ema21_ema50_diff : -0.0210276
  10. price_ema100_diff : -0.0345359
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.2267
  14. ema_slope_21 : -0.245864
  15. ema_slope_50 : -0.177155
  16. ema_slope_100 : -0.100977
  17. rsi : 0.451375
  18. adx : 0.377647
  19. kc_percentage : 0.453724
  20. kc_width_percentage : 0.0552434
  21. volume_ema_diff : -0.560446
  22. volume_ema1 : 82036.055325772
  23. volume_ema2 : 186635.00001482
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 6.96586
  27. ema21 : 6.94107
  28. ema50 : 6.97465
  29. ema100 : 7.06239
  30. price_ema9_diff : 0.00719743
  31. ema9_ema21_diff : 0.00357165
  32. ema21_ema50_diff : -0.00481449
  33. price_ema100_diff : -0.00656921
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.11512
  37. ema_slope_21 : 0.050936
  38. ema_slope_50 : -0.0148273
  39. ema_slope_100 : -0.0351573
  40. rsi : 0.590457
  41. adx : 0.308505
  42. kc_percentage : 0.989049
  43. kc_width_percentage : 0.0216605
  44. volume_ema_diff : -0.640676
  45. volume_ema1 : 14072.853111829
  46. volume_ema2 : 39164.868364645
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 6.99617
  50. ema21 : 6.97689
  51. ema50 : 6.94576
  52. ema100 : 6.93352
  53. price_ema9_diff : 0.00283437
  54. ema9_ema21_diff : 0.00276332
  55. ema21_ema50_diff : 0.00448099
  56. price_ema100_diff : 0.0118957
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0426219
  60. ema_slope_21 : 0.044601
  61. ema_slope_50 : 0.0344769
  62. ema_slope_100 : 0.0189377
  63. rsi : 0.694157
  64. adx : 0.350221
  65. kc_percentage : 1.10844
  66. kc_width_percentage : 0.00879875
  67. volume_ema_diff : -0.532644
  68. volume_ema1 : 3492.0144327205
  69. volume_ema2 : 7471.8516128822
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115003
  74. 5m_price_ema100_diff: 
    0.00328092
  75. 5m_price: 
    115381
  76. 5m_correlation_with_coin: 
    0.743608
  77. btc_indicators
  78. 15m_ema100: 
    115222
  79. 15m_price_ema100_diff: 
    0.00136915
  80. 15m_price: 
    115380
  81. 15m_correlation_with_coin: 
    0.083322
  82. btc_indicators
  83. 1H_ema100: 
    115279
  84. 1H_price_ema100_diff: 
    0.000878546
  85. 1H_price: 
    115381
  86. 1H_correlation_with_coin: 
    -0.051666
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
17:28:02		 15 Sep 2025
21:00:00		 3 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.016 7.0412 6.9656 2 1.703
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 7.016
  • Stop Loss: 7.0412
  • Take Profit: 6.9656

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.0412 - 7.016 = 0.0252

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.016 - 6.9656 = 0.0504

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0504 / 0.0252 = 2

📌 Position Size

Amount Margin Quantity Leverage
2227.8781 100 317.5425 22.28
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 0.0252

Taille de position = 8 / 0.0252 = 317.46

Taille de position USD = 317.46 x 7.016 = 2227.3

Donc, tu peux acheter 317.46 avec un stoploss a 7.0412

Avec un position size USD de 2227.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 317.46 x 0.0252 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 317.46 x 0.0504 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 317.46
  • Taille de position USD 2227.3
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.72 % 16 $
SL % Target SL $ Target
0.36 % 8 $
PNL PNL %
-8 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3848 % 107.13 % 18

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 6.9656
            [entry_price] => 7.016
            [stop_loss] => 7.04372
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 21:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.9656
            [entry_price] => 7.016
            [stop_loss] => 7.04624
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 21:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.9656
            [entry_price] => 7.016
            [stop_loss] => 7.04876
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.9656
            [entry_price] => 7.016
            [stop_loss] => 7.0538
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.036
            [max_drawdown] => 0.022
            [rr_ratio] => 1.64
            [high] => 7.03800000
            [low] => 6.98000000
            [mfe_pct] => 0.51
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 1.64
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T17:28:02-04:00
            [end_at] => 2025-09-15T19:28:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.173
            [max_drawdown] => 0.064
            [rr_ratio] => 2.7
            [high] => 7.08000000
            [low] => 6.84300000
            [mfe_pct] => 2.47
            [mae_pct] => 0.91
            [mfe_mae_ratio] => 2.7
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T17:28:02-04:00
            [end_at] => 2025-09-16T00:28:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.01600000
            [high_after] => 7.08000000
            [low_before] => 6.82900000
            [low_after] => 6.93800000
            [is_new_high] => 
            [is_new_low] => 
        )

)