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Short Trade on FORM

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Short Trade on FORM 14 Sep 2025 at 21:56:16

Take profit at 2.2766 (1.04 %) and Stop Loss at 2.3126 (0.52 %)

Short Trade on FORM

The 14 Sep 2025 at 21:56:16

With 665.4262 FORM at 2.3006$ per unit.

Position size of 1530.8796 $

Take profit at 2.2766 (1.04 %) and Stop Loss at 2.3126 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 5.34
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.55
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 : 0.301856

15m : 0.179302

1H : -0.100591

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.00801491316
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 2.28469
  4. ema21 : 2.3308
  5. ema50 : 2.44848
  6. ema100 : 2.584
  7. price_ema9_diff : 0.00696137
  8. ema9_ema21_diff : -0.019784
  9. ema21_ema50_diff : -0.0480617
  10. price_ema100_diff : -0.109675
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.244702
  14. ema_slope_21 : -0.369275
  15. ema_slope_50 : -0.336256
  16. ema_slope_100 : -0.256124
  17. rsi : 0.363517
  18. adx : 0.575184
  19. kc_percentage : 0.302086
  20. kc_width_percentage : 0.0561793
  21. volume_ema_diff : -0.592871
  22. volume_ema1 : 182354.39898967
  23. volume_ema2 : 447903.5966858
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.28141
  27. ema21 : 2.27636
  28. ema50 : 2.29302
  29. ema100 : 2.34807
  30. price_ema9_diff : 0.00840736
  31. ema9_ema21_diff : 0.00222069
  32. ema21_ema50_diff : -0.00726756
  33. price_ema100_diff : -0.0202171
  34. all_emas_in_trend : False
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : 0.0498796
  37. ema_slope_21 : 0.00677552
  38. ema_slope_50 : -0.0407555
  39. ema_slope_100 : -0.0708672
  40. rsi : 0.600822
  41. adx : 0.255391
  42. kc_percentage : 0.897207
  43. kc_width_percentage : 0.0265571
  44. volume_ema_diff : -0.591756
  45. volume_ema1 : 28520.53542722
  46. volume_ema2 : 69861.628638909
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 2.29186
  50. ema21 : 2.28326
  51. ema50 : 2.2759
  52. ema100 : 2.27719
  53. price_ema9_diff : 0.003811
  54. ema9_ema21_diff : 0.00376651
  55. ema21_ema50_diff : 0.00323471
  56. price_ema100_diff : 0.0102775
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0595623
  60. ema_slope_21 : 0.0485933
  61. ema_slope_50 : 0.0269067
  62. ema_slope_100 : 0.00994369
  63. rsi : 0.66099
  64. adx : 0.284299
  65. kc_percentage : 1.0464
  66. kc_width_percentage : 0.0133712
  67. volume_ema_diff : -0.278498
  68. volume_ema1 : 10008.741948367
  69. volume_ema2 : 13872.094462375
  70. regime : bull_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115403
  74. 5m_price_ema100_diff: 
    -0.0018683
  75. 5m_price: 
    115187
  76. 5m_correlation_with_coin: 
    0.301856
  77. btc_indicators
  78. 15m_ema100: 
    115554
  79. 15m_price_ema100_diff: 
    -0.00356359
  80. 15m_price: 
    115142
  81. 15m_correlation_with_coin: 
    0.179302
  82. btc_indicators
  83. 1H_ema100: 
    115265
  84. 1H_price_ema100_diff: 
    -0.000672278
  85. 1H_price: 
    115187
  86. 1H_correlation_with_coin: 
    -0.100591
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Sep 2025
21:56:16		 14 Sep 2025
23:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.3006 2.3126 2.2766 2 0.1951
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 2.3006
  • Stop Loss: 2.3126
  • Take Profit: 2.2766

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3126 - 2.3006 = 0.012

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.3006 - 2.2766 = 0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.024 / 0.012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1530.8796 100 665.4262 15.31
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 0.012

Taille de position = 8 / 0.012 = 666.67

Taille de position USD = 666.67 x 2.3006 = 1533.74

Donc, tu peux acheter 666.67 avec un stoploss a 2.3126

Avec un position size USD de 1533.74$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 666.67 x 0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 666.67 x 0.024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 666.67
  • Taille de position USD 1533.74
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.04 % 15.97 $
SL % Target SL $ Target
0.52 % 7.99 $
PNL PNL %
-7.99 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0128 % 194.17 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.2766
            [entry_price] => 2.3006
            [stop_loss] => 2.3138
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-14 23:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.2766
            [entry_price] => 2.3006
            [stop_loss] => 2.315
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-14 23:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.2766
            [entry_price] => 2.3006
            [stop_loss] => 2.3162
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-14 23:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.2766
            [entry_price] => 2.3006
            [stop_loss] => 2.3186
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-14 23:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0121
            [max_drawdown] => 0.0305
            [rr_ratio] => 0.4
            [high] => 2.33110000
            [low] => 2.28850000
            [mfe_pct] => 0.53
            [mae_pct] => 1.33
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-14T21:56:16-04:00
            [end_at] => 2025-09-14T23:56:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.155
            [max_drawdown] => 0.0305
            [rr_ratio] => 5.08
            [high] => 2.33110000
            [low] => 2.14560000
            [mfe_pct] => 6.74
            [mae_pct] => 1.33
            [mfe_mae_ratio] => 5.08
            [candles_analyzed] => 84
            [start_at] => 2025-09-14T21:56:16-04:00
            [end_at] => 2025-09-15T04:56:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.30580000
            [high_after] => 2.33110000
            [low_before] => 2.23770000
            [low_after] => 2.14560000
            [is_new_high] => 
            [is_new_low] => 1
        )

)