Short Trade on AR 14 Sep 2025 at 13:19:50

Take profit at 7.2425 (1.02 %) and Stop Loss at 7.3543 (0.51 %)

Short Trade on AR

The 14 Sep 2025 at 13:19:50

With 214.6994 AR at 7.317$ per unit.

Position size of 1570.9552 $

Take profit at 7.2425 (1.02 %) and Stop Loss at 7.3543 (0.51 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.34
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.73
Prediction 2 Probability
0 0.51
Prediction 3 Probability
1 0.59
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.598236

15m : -0.201896

1H : -0.071824

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.02484093812
Details
  1. score: 1
  2. 1H
  3. ema9 : 7.32592
  4. ema21 : 7.41495
  5. ema50 : 7.44975
  6. ema100 : 7.39628
  7. price_ema9_diff : -0.00121843
  8. ema9_ema21_diff : -0.0120071
  9. ema21_ema50_diff : -0.00467133
  10. price_ema100_diff : -0.010719
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.260514
  14. ema_slope_21 : -0.170025
  15. ema_slope_50 : -0.0599094
  16. ema_slope_100 : -0.00810685
  17. rsi : 0.397913
  18. adx : 0.317981
  19. kc_percentage : 0.28002
  20. kc_width_percentage : 0.0578395
  21. volume_ema_diff : 0.10873
  22. volume_ema1 : 187338.83705458
  23. volume_ema2 : 168966.89811882
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 7.27726
  28. ema21 : 7.29146
  29. ema50 : 7.36921
  30. ema100 : 7.43779
  31. price_ema9_diff : 0.0054598
  32. ema9_ema21_diff : -0.00194727
  33. ema21_ema50_diff : -0.0105505
  34. price_ema100_diff : -0.0162402
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0159975
  38. ema_slope_21 : -0.0809579
  39. ema_slope_50 : -0.0829115
  40. ema_slope_100 : -0.0579678
  41. rsi : 0.511277
  42. adx : 0.450332
  43. kc_percentage : 0.632062
  44. kc_width_percentage : 0.0292638
  45. volume_ema_diff : -0.577119
  46. volume_ema1 : 24878.586229663
  47. volume_ema2 : 58831.206921211
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 7.2919
  52. ema21 : 7.27015
  53. ema50 : 7.27401
  54. ema100 : 7.32067
  55. price_ema9_diff : 0.00344181
  56. ema9_ema21_diff : 0.00299085
  57. ema21_ema50_diff : -0.000529744
  58. price_ema100_diff : -0.000501448
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0667747
  62. ema_slope_21 : 0.0510949
  63. ema_slope_50 : 0.01046
  64. ema_slope_100 : -0.0100349
  65. rsi : 0.628607
  66. adx : 0.28652
  67. kc_percentage : 1.00443
  68. kc_width_percentage : 0.0123753
  69. volume_ema_diff : -0.613872
  70. volume_ema1 : 7485.1851755743
  71. volume_ema2 : 19385.291634737
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115521
  77. 5m_price_ema100_diff:
    -0.00059916
  78. 5m_price:
    115452
  79. 5m_correlation_with_coin:
    0.598236
  80. btc_indicators
  81. 15m_ema100:
    115608
  82. 15m_price_ema100_diff:
    -0.00135493
  83. 15m_price:
    115452
  84. 15m_correlation_with_coin:
    -0.201896
  85. btc_indicators
  86. 1H_ema100:
    115223
  87. 1H_price_ema100_diff:
    0.00198737
  88. 1H_price:
    115452
  89. 1H_correlation_with_coin:
    -0.071824
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
13:19:50
14 Sep 2025
13:25:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
7.317 7.3543 7.2425 2 1.635
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 7.317
  • Stop Loss: 7.3543
  • Take Profit: 7.2425

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.3543 - 7.317 = 0.0373

  • Récompense (distance jusqu'au take profit):

    E - TP = 7.317 - 7.2425 = 0.0745

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0745 / 0.0373 = 1.9973

📌 Position Size

Amount Margin Quantity Leverage
1570.9552 100 214.6994 15.71
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 0.0373

Taille de position = 8 / 0.0373 = 214.48

Taille de position USD = 214.48 x 7.317 = 1569.35

Donc, tu peux acheter 214.48 avec un stoploss a 7.3543

Avec un position size USD de 1569.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 214.48 x 0.0373 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 214.48 x 0.0745 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 214.48
  • Taille de position USD 1569.35
  • Perte potentielle 8
  • Gain potentiel 15.98
  • Risk-Reward Ratio 1.9973

📌 Peformances

TP % Target TP $ Target
1.02 % 16 $
SL % Target SL $ Target
0.51 % 8.01 $
PNL PNL %
-8.01 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.82 % 160.85 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 7.2425
            [entry_price] => 7.317
            [stop_loss] => 7.35803
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 7.2425
            [entry_price] => 7.317
            [stop_loss] => 7.36176
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 7.2425
            [entry_price] => 7.317
            [stop_loss] => 7.36549
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 7.2425
            [entry_price] => 7.317
            [stop_loss] => 7.37295
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 13:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.035
            [max_drawdown] => 0.082
            [rr_ratio] => 0.43
            [high] => 7.39900000
            [low] => 7.28200000
            [mfe_pct] => 0.48
            [mae_pct] => 1.12
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T13:19:50-04:00
            [end_at] => 2025-09-14T15:19:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.136
            [max_drawdown] => 0.082
            [rr_ratio] => 1.66
            [high] => 7.39900000
            [low] => 7.18100000
            [mfe_pct] => 1.86
            [mae_pct] => 1.12
            [mfe_mae_ratio] => 1.66
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T13:19:50-04:00
            [end_at] => 2025-09-14T20:19:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 7.33400000
            [high_after] => 7.39900000
            [low_before] => 7.13000000
            [low_after] => 7.26900000
            [is_new_high] => 
            [is_new_low] => 
        )

)