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Short Trade on FORM

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Short Trade on FORM 15 Sep 2025 at 14:42:52

Take profit at 2.1237 (0.86 %) and Stop Loss at 2.1513 (0.43 %)

Short Trade on FORM

The 15 Sep 2025 at 14:42:52

With 869.8373 FORM at 2.1421$ per unit.

Position size of 1863.2786 $

Take profit at 2.1237 (0.86 %) and Stop Loss at 2.1513 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.38
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.79
Prediction 3 Probability
0 0.66
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_high

5m_regime : range_low
BTC Correlation Score

5m : 0.424583

15m : -0.006879

1H : -0.075427

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.006131414592
Details
  1. score: 1.1
  2. 1H
  3. ema9 : 2.14455
  4. ema21 : 2.1941
  5. ema50 : 2.30373
  6. ema100 : 2.39246
  7. price_ema9_diff : -0.0011434
  8. ema9_ema21_diff : -0.0225864
  9. ema21_ema50_diff : -0.0475862
  10. price_ema100_diff : -0.104648
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.505146
  14. ema_slope_21 : -0.430361
  15. ema_slope_50 : -0.347916
  16. ema_slope_100 : -0.230187
  17. rsi : 0.351094
  18. adx : 0.544522
  19. kc_percentage : 0.183808
  20. kc_width_percentage : 0.0704414
  21. volume_ema_diff : -0.608955
  22. volume_ema1 : 160060.80413428
  23. volume_ema2 : 409316.60333882
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 2.12849
  27. ema21 : 2.13193
  28. ema50 : 2.15884
  29. ema100 : 2.19824
  30. price_ema9_diff : 0.00639044
  31. ema9_ema21_diff : -0.00161437
  32. ema21_ema50_diff : -0.0124648
  33. price_ema100_diff : -0.0255403
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.04409
  37. ema_slope_21 : -0.0505724
  38. ema_slope_50 : -0.0787856
  39. ema_slope_100 : -0.0743221
  40. rsi : 0.503682
  41. adx : 0.213759
  42. kc_percentage : 0.683614
  43. kc_width_percentage : 0.0273404
  44. volume_ema_diff : -0.705099
  45. volume_ema1 : 20706.358322842
  46. volume_ema2 : 70214.752193642
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 2.13385
  50. ema21 : 2.12823
  51. ema50 : 2.12803
  52. ema100 : 2.12917
  53. price_ema9_diff : 0.00386208
  54. ema9_ema21_diff : 0.0026416
  55. ema21_ema50_diff : 9.58104E-5
  56. price_ema100_diff : 0.00607278
  57. all_emas_in_trend : True
  58. all_emas_and_price_in_trend : True
  59. ema_slope_9 : 0.0785923
  60. ema_slope_21 : 0.0355692
  61. ema_slope_50 : 0.00733202
  62. ema_slope_100 : 0.00147078
  63. rsi : 0.643853
  64. adx : 0.19871
  65. kc_percentage : 1.09654
  66. kc_width_percentage : 0.0107017
  67. volume_ema_diff : -0.769713
  68. volume_ema1 : 2890.6769713926
  69. volume_ema2 : 12552.549914601
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    114772
  74. 5m_price_ema100_diff: 
    0.00112308
  75. 5m_price: 
    114900
  76. 5m_correlation_with_coin: 
    0.424583
  77. btc_indicators
  78. 15m_ema100: 
    115164
  79. 15m_price_ema100_diff: 
    -0.00246931
  80. 15m_price: 
    114880
  81. 15m_correlation_with_coin: 
    -0.006879
  82. btc_indicators
  83. 1H_ema100: 
    115253
  84. 1H_price_ema100_diff: 
    -0.00305676
  85. 1H_price: 
    114900
  86. 1H_correlation_with_coin: 
    -0.075427
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:42:52		 15 Sep 2025
14:50:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.1421 2.1513 2.1237 2 0.1909
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 2.1421
  • Stop Loss: 2.1513
  • Take Profit: 2.1237

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1513 - 2.1421 = 0.0091999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.1421 - 2.1237 = 0.0184

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0184 / 0.0091999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1863.2786 100 869.8373 18.63
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 0.0091999999999999

Taille de position = 8 / 0.0091999999999999 = 869.57

Taille de position USD = 869.57 x 2.1421 = 1862.71

Donc, tu peux acheter 869.57 avec un stoploss a 2.1513

Avec un position size USD de 1862.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 869.57 x 0.0091999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 869.57 x 0.0184 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 869.57
  • Taille de position USD 1862.71
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.86 % 16.01 $
SL % Target SL $ Target
0.43 % 8 $
PNL PNL %
-8 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4435 % 103.26 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.1237
            [entry_price] => 2.1421
            [stop_loss] => 2.15222
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.1237
            [entry_price] => 2.1421
            [stop_loss] => 2.15314
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.1237
            [entry_price] => 2.1421
            [stop_loss] => 2.15406
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 15:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.1237
            [entry_price] => 2.1421
            [stop_loss] => 2.1559
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 16:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0074000000000001
            [max_drawdown] => 0.0209
            [rr_ratio] => 0.35
            [high] => 2.16300000
            [low] => 2.13470000
            [mfe_pct] => 0.35
            [mae_pct] => 0.98
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:42:52-04:00
            [end_at] => 2025-09-15T16:42:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0074000000000001
            [max_drawdown] => 0.0426
            [rr_ratio] => 0.17
            [high] => 2.18470000
            [low] => 2.13470000
            [mfe_pct] => 0.35
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:42:52-04:00
            [end_at] => 2025-09-15T21:42:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.15620000
            [high_after] => 2.18470000
            [low_before] => 2.10010000
            [low_after] => 2.13470000
            [is_new_high] => 
            [is_new_low] => 
        )

)