Short Trade on FORM 11 Sep 2025 at 12:41:10

Take profit at 2.445 (3.62 %) and Stop Loss at 2.5829 (1.81 %)

Short Trade on FORM

The 11 Sep 2025 at 12:41:10

With 174.0799 FORM at 2.5369$ per unit.

Position size of 441.6233 $

Take profit at 2.445 (3.62 %) and Stop Loss at 2.5829 (1.81 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.03
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
1 0.59
Prediction 3 Probability
1 0.56
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 : bear_high

BTC Correlation Score

5m : 0.134428

15m : -0.05053

1H : 0.112444

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0306372724
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 2.62772
  4. ema21 : 2.78612
  5. ema50 : 2.99155
  6. ema100 : 3.22657
  7. price_ema9_diff : -0.0345643
  8. ema9_ema21_diff : -0.0568519
  9. ema21_ema50_diff : -0.0686699
  10. price_ema100_diff : -0.213747
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -1.01517
  14. ema_slope_21 : -0.66284
  15. ema_slope_50 : -0.456204
  16. ema_slope_100 : -0.337798
  17. rsi : 0.239777
  18. adx : 0.57684
  19. kc_percentage : -0.203187
  20. kc_width_percentage : 0.134414
  21. volume_ema_diff : 1.32962
  22. volume_ema1 : 2655797.3604318
  23. volume_ema2 : 1140012.8101419
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.47722
  28. ema21 : 2.55418
  29. ema50 : 2.70737
  30. ema100 : 2.82824
  31. price_ema9_diff : 0.0240889
  32. ema9_ema21_diff : -0.0301302
  33. ema21_ema50_diff : -0.0565844
  34. price_ema100_diff : -0.103011
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.496548
  38. ema_slope_21 : -0.583741
  39. ema_slope_50 : -0.435441
  40. ema_slope_100 : -0.280022
  41. rsi : 0.375753
  42. adx : 0.627302
  43. kc_percentage : 0.451667
  44. kc_width_percentage : 0.0834537
  45. volume_ema_diff : -0.259145
  46. volume_ema1 : 440149.23910058
  47. volume_ema2 : 594110.02601376
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 2.49077
  52. ema21 : 2.47385
  53. ema50 : 2.52533
  54. ema100 : 2.63325
  55. price_ema9_diff : 0.0185191
  56. ema9_ema21_diff : 0.0068376
  57. ema21_ema50_diff : -0.0203839
  58. price_ema100_diff : -0.0365901
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.200417
  62. ema_slope_21 : 0.028319
  63. ema_slope_50 : -0.111581
  64. ema_slope_100 : -0.140469
  65. rsi : 0.66154
  66. adx : 0.295608
  67. kc_percentage : 1.02396
  68. kc_width_percentage : 0.0475815
  69. volume_ema_diff : -0.586727
  70. volume_ema1 : 95274.342149159
  71. volume_ema2 : 230536.37612517
  72. regime : bear_high
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114144
  77. 5m_price_ema100_diff:
    0.00282276
  78. 5m_price:
    114466
  79. 5m_correlation_with_coin:
    0.134428
  80. btc_indicators
  81. 15m_ema100:
    113989
  82. 15m_price_ema100_diff:
    0.00283183
  83. 15m_price:
    114312
  84. 15m_correlation_with_coin:
    -0.05053
  85. btc_indicators
  86. 1H_ema100:
    112653
  87. 1H_price_ema100_diff:
    0.0160971
  88. 1H_price:
    114466
  89. 1H_correlation_with_coin:
    0.112444
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Sep 2025
12:41:10
11 Sep 2025
12:45:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.5369 2.5829 2.445 2 0.1928
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 2.5369
  • Stop Loss: 2.5829
  • Take Profit: 2.445

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.5829 - 2.5369 = 0.046

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.5369 - 2.445 = 0.0919

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0919 / 0.046 = 1.9978

📌 Position Size

Amount Margin Quantity Leverage
441.6233 100 174.0799 4.42
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 0.046

Taille de position = 8 / 0.046 = 173.91

Taille de position USD = 173.91 x 2.5369 = 441.19

Donc, tu peux acheter 173.91 avec un stoploss a 2.5829

Avec un position size USD de 441.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 173.91 x 0.046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 173.91 x 0.0919 = 15.98

Si Take Profit atteint, tu gagneras 15.98$

Résumé

  • Taille de position 173.91
  • Taille de position USD 441.19
  • Perte potentielle 8
  • Gain potentiel 15.98
  • Risk-Reward Ratio 1.9978

📌 Peformances

TP % Target TP $ Target
3.62 % 16 $
SL % Target SL $ Target
1.81 % 8.01 $
PNL PNL %
-8.01 $ -1.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.1207 % 116.96 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.445
            [entry_price] => 2.5369
            [stop_loss] => 2.5875
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-11 12:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.445
            [entry_price] => 2.5369
            [stop_loss] => 2.5921
            [rr_ratio] => 1.66
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-11 12:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.445
            [entry_price] => 2.5369
            [stop_loss] => 2.5967
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-11 12:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.445
            [entry_price] => 2.5369
            [stop_loss] => 2.6059
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-11 12:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0027000000000004
            [max_drawdown] => 0.1361
            [rr_ratio] => 0.02
            [high] => 2.67300000
            [low] => 2.53420000
            [mfe_pct] => 0.11
            [mae_pct] => 5.36
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-11T12:41:10-04:00
            [end_at] => 2025-09-11T14:41:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0027000000000004
            [max_drawdown] => 0.1606
            [rr_ratio] => 0.02
            [high] => 2.69750000
            [low] => 2.53420000
            [mfe_pct] => 0.11
            [mae_pct] => 6.33
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 84
            [start_at] => 2025-09-11T12:41:10-04:00
            [end_at] => 2025-09-11T19:41:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.64580000
            [high_after] => 2.69750000
            [low_before] => 2.38410000
            [low_after] => 2.53420000
            [is_new_high] => 
            [is_new_low] => 
        )

)