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Short Trade on FORM

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Short Trade on FORM 11 Sep 2025 at 12:49:55

Take profit at 2.4854 (3.85 %) and Stop Loss at 2.6348 (1.93 %)

Short Trade on FORM

The 11 Sep 2025 at 12:49:55

With 160.6591 FORM at 2.585$ per unit.

Position size of 415.3037 $

Take profit at 2.4854 (3.85 %) and Stop Loss at 2.6348 (1.93 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.6
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.66
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_high

5m_regime : range_high
BTC Correlation Score

5m : 0.121434

15m : -0.058758

1H : -0.004658

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0331965903
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 2.63734
  4. ema21 : 2.79049
  5. ema50 : 2.99343
  6. ema100 : 3.22752
  7. price_ema9_diff : -0.0198478
  8. ema9_ema21_diff : -0.0548824
  9. ema21_ema50_diff : -0.0677959
  10. price_ema100_diff : -0.199076
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.988384
  14. ema_slope_21 : -0.650802
  15. ema_slope_50 : -0.451237
  16. ema_slope_100 : -0.335438
  17. rsi : 0.294502
  18. adx : 0.569595
  19. kc_percentage : -0.0505088
  20. kc_width_percentage : 0.137917
  21. volume_ema_diff : 1.40812
  22. volume_ema1 : 2780678.4126338
  23. volume_ema2 : 1154704.6986362
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.50374
  27. ema21 : 2.55954
  28. ema50 : 2.7036
  29. ema100 : 2.82293
  30. price_ema9_diff : 0.032455
  31. ema9_ema21_diff : -0.0218031
  32. ema21_ema50_diff : -0.053282
  33. price_ema100_diff : -0.0842851
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.34664
  37. ema_slope_21 : -0.510167
  38. ema_slope_50 : -0.40976
  39. ema_slope_100 : -0.26941
  40. rsi : 0.486315
  41. adx : 0.579129
  42. kc_percentage : 0.641204
  43. kc_width_percentage : 0.0865448
  44. volume_ema_diff : -0.25822
  45. volume_ema1 : 441904.39804026
  46. volume_ema2 : 595735.34179932
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 2.50995
  50. ema21 : 2.48413
  51. ema50 : 2.52761
  52. ema100 : 2.63133
  53. price_ema9_diff : 0.0298992
  54. ema9_ema21_diff : 0.0103938
  55. ema21_ema50_diff : -0.0172031
  56. price_ema100_diff : -0.0176089
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.271992
  60. ema_slope_21 : 0.0759222
  61. ema_slope_50 : -0.0863074
  62. ema_slope_100 : -0.127096
  63. rsi : 0.736756
  64. adx : 0.305789
  65. kc_percentage : 1.24464
  66. kc_width_percentage : 0.0522424
  67. volume_ema_diff : -0.235279
  68. volume_ema1 : 180440.69671912
  69. volume_ema2 : 235956.30258879
  70. regime : range_high
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114150
  74. 5m_price_ema100_diff: 
    0.00258365
  75. 5m_price: 
    114445
  76. 5m_correlation_with_coin: 
    0.121434
  77. btc_indicators
  78. 15m_ema100: 
    113987
  79. 15m_price_ema100_diff: 
    0.00401879
  80. 15m_price: 
    114445
  81. 15m_correlation_with_coin: 
    -0.058758
  82. btc_indicators
  83. 1H_ema100: 
    112652
  84. 1H_price_ema100_diff: 
    0.0159144
  85. 1H_price: 
    114445
  86. 1H_correlation_with_coin: 
    -0.004658
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
12:49:55		 11 Sep 2025
12:55:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.585 2.6348 2.4854 2 0.196
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 2.585
  • Stop Loss: 2.6348
  • Take Profit: 2.4854

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.6348 - 2.585 = 0.0498

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.585 - 2.4854 = 0.0996

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0996 / 0.0498 = 2

📌 Position Size

Amount Margin Quantity Leverage
415.3037 100 160.6591 4.15
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 0.0498

Taille de position = 8 / 0.0498 = 160.64

Taille de position USD = 160.64 x 2.585 = 415.25

Donc, tu peux acheter 160.64 avec un stoploss a 2.6348

Avec un position size USD de 415.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160.64 x 0.0498 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160.64 x 0.0996 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 160.64
  • Taille de position USD 415.25
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
3.85 % 16 $
SL % Target SL $ Target
1.93 % 8 $
PNL PNL %
-8 $ -1.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.5648 % 133.13 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.4854
            [entry_price] => 2.585
            [stop_loss] => 2.63978
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 12:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.4854
            [entry_price] => 2.585
            [stop_loss] => 2.64476
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 12:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.4854
            [entry_price] => 2.585
            [stop_loss] => 2.64974
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 12:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.4854
            [entry_price] => 2.585
            [stop_loss] => 2.6597
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 13:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0417
            [max_drawdown] => 0.088
            [rr_ratio] => 0.47
            [high] => 2.67300000
            [low] => 2.54330000
            [mfe_pct] => 1.61
            [mae_pct] => 3.4
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T12:49:55-04:00
            [end_at] => 2025-09-11T14:49:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0417
            [max_drawdown] => 0.1125
            [rr_ratio] => 0.37
            [high] => 2.69750000
            [low] => 2.54330000
            [mfe_pct] => 1.61
            [mae_pct] => 4.35
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T12:49:55-04:00
            [end_at] => 2025-09-11T19:49:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.64580000
            [high_after] => 2.69750000
            [low_before] => 2.38410000
            [low_after] => 2.54330000
            [is_new_high] => 
            [is_new_low] => 
        )

)