Short Trade on AR 15 Sep 2025 at 16:53:16

Take profit at 6.9389 (0.82 %) and Stop Loss at 7.0246 (0.41 %)

Short Trade on AR

The 15 Sep 2025 at 16:53:16

With 280.1165 AR at 6.996$ per unit.

Position size of 1959.6949 $

Take profit at 6.9389 (0.82 %) and Stop Loss at 7.0246 (0.41 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.13
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.63
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.72
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 : 0.752006

15m : 0.154249

1H : 0.229007

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01903969823
Details
  1. score: 1.03
  2. 1H
  3. ema9 : 6.9518
  4. ema21 : 7.04373
  5. ema50 : 7.19955
  6. ema100 : 7.27164
  7. price_ema9_diff : 0.00635767
  8. ema9_ema21_diff : -0.0130517
  9. ema21_ema50_diff : -0.0216423
  10. price_ema100_diff : -0.0379071
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.283411
  14. ema_slope_21 : -0.270121
  15. ema_slope_50 : -0.184235
  16. ema_slope_100 : -0.102914
  17. rsi : 0.435967
  18. adx : 0.389061
  19. kc_percentage : 0.402622
  20. kc_width_percentage : 0.0585966
  21. volume_ema_diff : -0.457529
  22. volume_ema1 : 104325.64520859
  23. volume_ema2 : 192315.79459584
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 6.94914
  28. ema21 : 6.92946
  29. ema50 : 6.97275
  30. ema100 : 7.06463
  31. price_ema9_diff : 0.00674191
  32. ema9_ema21_diff : 0.00284032
  33. ema21_ema50_diff : -0.00620756
  34. price_ema100_diff : -0.00971498
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0934304
  38. ema_slope_21 : 0.0292948
  39. ema_slope_50 : -0.0286655
  40. ema_slope_100 : -0.0425331
  41. rsi : 0.582285
  42. adx : 0.306973
  43. kc_percentage : 0.897819
  44. kc_width_percentage : 0.0238672
  45. volume_ema_diff : -0.698978
  46. volume_ema1 : 12193.652536142
  47. volume_ema2 : 40507.572376396
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 6.97744
  52. ema21 : 6.95666
  53. ema50 : 6.92896
  54. ema100 : 6.92256
  55. price_ema9_diff : 0.00265893
  56. ema9_ema21_diff : 0.00298701
  57. ema21_ema50_diff : 0.00399776
  58. price_ema100_diff : 0.0106076
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0510503
  62. ema_slope_21 : 0.050603
  63. ema_slope_50 : 0.0336418
  64. ema_slope_100 : 0.0166275
  65. rsi : 0.665973
  66. adx : 0.327467
  67. kc_percentage : 1.03155
  68. kc_width_percentage : 0.010147
  69. volume_ema_diff : -0.711262
  70. volume_ema1 : 2297.76352999
  71. volume_ema2 : 7957.9652314648
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114965
  77. 5m_price_ema100_diff:
    0.00241441
  78. 5m_price:
    115243
  79. 5m_correlation_with_coin:
    0.752006
  80. btc_indicators
  81. 15m_ema100:
    115205
  82. 15m_price_ema100_diff:
    5.98042E-5
  83. 15m_price:
    115212
  84. 15m_correlation_with_coin:
    0.154249
  85. btc_indicators
  86. 1H_ema100:
    115314
  87. 1H_price_ema100_diff:
    -0.000612774
  88. 1H_price:
    115243
  89. 1H_correlation_with_coin:
    0.229007
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
16:53:16
15 Sep 2025
18:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
6.996 7.0246 6.9389 2 1.71
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 6.996
  • Stop Loss: 7.0246
  • Take Profit: 6.9389

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 7.0246 - 6.996 = 0.0286

  • Récompense (distance jusqu'au take profit):

    E - TP = 6.996 - 6.9389 = 0.0571

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0571 / 0.0286 = 1.9965

📌 Position Size

Amount Margin Quantity Leverage
1959.6949 100 280.1165 19.60
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 0.0286

Taille de position = 8 / 0.0286 = 279.72

Taille de position USD = 279.72 x 6.996 = 1956.92

Donc, tu peux acheter 279.72 avec un stoploss a 7.0246

Avec un position size USD de 1956.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 279.72 x 0.0286 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 279.72 x 0.0571 = 15.97

Si Take Profit atteint, tu gagneras 15.97$

Résumé

  • Taille de position 279.72
  • Taille de position USD 1956.92
  • Perte potentielle 8
  • Gain potentiel 15.97
  • Risk-Reward Ratio 1.9965

📌 Peformances

TP % Target TP $ Target
0.82 % 15.99 $
SL % Target SL $ Target
0.41 % 8.01 $
PNL PNL %
-8.01 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4145 % 101.39 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 6.9389
            [entry_price] => 6.996
            [stop_loss] => 7.02746
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 6.9389
            [entry_price] => 6.996
            [stop_loss] => 7.03032
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 6.9389
            [entry_price] => 6.996
            [stop_loss] => 7.03318
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 19:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 6.9389
            [entry_price] => 6.996
            [stop_loss] => 7.0389
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.023000000000001
            [max_drawdown] => 0.029
            [rr_ratio] => 0.79
            [high] => 7.02500000
            [low] => 6.97300000
            [mfe_pct] => 0.33
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T16:53:16-04:00
            [end_at] => 2025-09-15T18:53:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.07
            [max_drawdown] => 0.084
            [rr_ratio] => 0.83
            [high] => 7.08000000
            [low] => 6.92600000
            [mfe_pct] => 1
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T16:53:16-04:00
            [end_at] => 2025-09-15T23:53:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 6.99900000
            [high_after] => 7.08000000
            [low_before] => 6.78700000
            [low_after] => 6.94700000
            [is_new_high] => 
            [is_new_low] => 
        )

)