Short Trade on RED 10 Sep 2025 at 18:34:27

Take profit at 0.6312 (0.65 %) and Stop Loss at 0.6373 (0.31 %)

Short Trade on RED

The 10 Sep 2025 at 18:34:27

With 3927.1446 RED at 0.6353$ per unit.

Position size of 2494.9149 $

Take profit at 0.6312 (0.65 %) and Stop Loss at 0.6373 (0.31 %)

That's a 2.05 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 3.14
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.54
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.293988

15m : -0.039885

1H : 0.00776

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.001358069015
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.635364
  4. ema21 : 0.640934
  5. ema50 : 0.651789
  6. ema100 : 0.659003
  7. price_ema9_diff : -0.000101859
  8. ema9_ema21_diff : -0.00869031
  9. ema21_ema50_diff : -0.0166546
  10. price_ema100_diff : -0.0359687
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.160689
  14. ema_slope_21 : -0.126207
  15. ema_slope_50 : -0.111974
  16. ema_slope_100 : -0.072143
  17. rsi : 0.411545
  18. adx : 0.213306
  19. kc_percentage : 0.308743
  20. kc_width_percentage : 0.0429417
  21. volume_ema_diff : -0.726471
  22. volume_ema1 : 230086.78065393
  23. volume_ema2 : 841180.97299736
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.632672
  28. ema21 : 0.632948
  29. ema50 : 0.637143
  30. ema100 : 0.641279
  31. price_ema9_diff : 0.00415372
  32. ema9_ema21_diff : -0.000437151
  33. ema21_ema50_diff : -0.00658432
  34. price_ema100_diff : -0.00932457
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0219298
  38. ema_slope_21 : -0.0358761
  39. ema_slope_50 : -0.048321
  40. ema_slope_100 : -0.0364035
  41. rsi : 0.534795
  42. adx : 0.296575
  43. kc_percentage : 0.736861
  44. kc_width_percentage : 0.0164795
  45. volume_ema_diff : -0.794782
  46. volume_ema1 : 20417.103985371
  47. volume_ema2 : 99490.173426365
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.633904
  52. ema21 : 0.632218
  53. ema50 : 0.631972
  54. ema100 : 0.634815
  55. price_ema9_diff : 0.00220158
  56. ema9_ema21_diff : 0.00266705
  57. ema21_ema50_diff : 0.000389419
  58. price_ema100_diff : 0.000763721
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0576966
  62. ema_slope_21 : 0.0405074
  63. ema_slope_50 : 0.0113394
  64. ema_slope_100 : -0.0055269
  65. rsi : 0.684416
  66. adx : 0.324671
  67. kc_percentage : 1.06351
  68. kc_width_percentage : 0.00834755
  69. volume_ema_diff : -0.590597
  70. volume_ema1 : 8284.3162424587
  71. volume_ema2 : 20235.140370268
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    113711
  77. 5m_price_ema100_diff:
    0.00150981
  78. 5m_price:
    113883
  79. 5m_correlation_with_coin:
    0.293988
  80. btc_indicators
  81. 15m_ema100:
    112797
  82. 15m_price_ema100_diff:
    0.00962508
  83. 15m_price:
    113883
  84. 15m_correlation_with_coin:
    -0.039885
  85. btc_indicators
  86. 1H_ema100:
    111834
  87. 1H_price_ema100_diff:
    0.0183202
  88. 1H_price:
    113883
  89. 1H_correlation_with_coin:
    0.00776
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
18:34:27
10 Sep 2025
18:45:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6353 0.6373 0.6312 2.05 0.1604
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 0.6353
  • Stop Loss: 0.6373
  • Take Profit: 0.6312

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6373 - 0.6353 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6353 - 0.6312 = 0.0041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0041 / 0.002 = 2.05

📌 Position Size

Amount Margin Quantity Leverage
2494.9149 100 3927.1446 24.95
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.6353 = 2541.2

Donc, tu peux acheter 4000 avec un stoploss a 0.6373

Avec un position size USD de 2541.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0041 = 16.4

Si Take Profit atteint, tu gagneras 16.4$

Résumé

  • Taille de position 4000
  • Taille de position USD 2541.2
  • Perte potentielle 8
  • Gain potentiel 16.4
  • Risk-Reward Ratio 2.05

📌 Peformances

TP % Target TP $ Target
0.65 % 16.1 $
SL % Target SL $ Target
0.31 % 7.85 $
PNL PNL %
-7.85 $ -0.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3935 % 125 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6312
            [entry_price] => 0.6353
            [stop_loss] => 0.6375
            [rr_ratio] => 1.86
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6312
            [entry_price] => 0.6353
            [stop_loss] => 0.6377
            [rr_ratio] => 1.71
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 18:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6312
            [entry_price] => 0.6353
            [stop_loss] => 0.6379
            [rr_ratio] => 1.58
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 18:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6312
            [entry_price] => 0.6353
            [stop_loss] => 0.6383
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 18:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0075
            [max_drawdown] => 0.0041
            [rr_ratio] => 1.83
            [high] => 0.63940000
            [low] => 0.62780000
            [mfe_pct] => 1.18
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 1.83
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T18:34:27-04:00
            [end_at] => 2025-09-10T20:34:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0115
            [max_drawdown] => 0.0041
            [rr_ratio] => 2.8
            [high] => 0.63940000
            [low] => 0.62380000
            [mfe_pct] => 1.81
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 2.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T18:34:27-04:00
            [end_at] => 2025-09-11T01:34:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63630000
            [high_after] => 0.63940000
            [low_before] => 0.62200000
            [low_after] => 0.62380000
            [is_new_high] => 
            [is_new_low] => 
        )

)