Short Trade on FIL 16 Sep 2025 at 03:50:00

Take profit at 2.4063 (0.53 %) and Stop Loss at 2.4254 (0.26 %)

Short Trade on FIL

The 16 Sep 2025 at 03:50:00

With 1256.2026 FIL at 2.419$ per unit.

Position size of 3038.754 $

Take profit at 2.4063 (0.53 %) and Stop Loss at 2.4254 (0.26 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.39
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.83
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.650438

15m : -0.016071

1H : -0.067166

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.004245599774
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 2.40844
  4. ema21 : 2.42037
  5. ema50 : 2.46226
  6. ema100 : 2.49677
  7. price_ema9_diff : 0.00438184
  8. ema9_ema21_diff : -0.00492866
  9. ema21_ema50_diff : -0.017013
  10. price_ema100_diff : -0.0311488
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0116246
  14. ema_slope_21 : -0.0910309
  15. ema_slope_50 : -0.111675
  16. ema_slope_100 : -0.079543
  17. rsi : 0.459989
  18. adx : 0.443722
  19. kc_percentage : 0.501415
  20. kc_width_percentage : 0.0331257
  21. volume_ema_diff : -0.526683
  22. volume_ema1 : 310794.78504001
  23. volume_ema2 : 656632.61826593
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 2.40948
  28. ema21 : 2.4073
  29. ema50 : 2.40951
  30. ema100 : 2.42521
  31. price_ema9_diff : 0.00394738
  32. ema9_ema21_diff : 0.000908665
  33. ema21_ema50_diff : -0.000917541
  34. price_ema100_diff : -0.00256115
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0407291
  38. ema_slope_21 : 0.0172736
  39. ema_slope_50 : -0.000251187
  40. ema_slope_100 : -0.0147859
  41. rsi : 0.585634
  42. adx : 0.182388
  43. kc_percentage : 0.852353
  44. kc_width_percentage : 0.013642
  45. volume_ema_diff : -0.517771
  46. volume_ema1 : 50243.558011482
  47. volume_ema2 : 104190.42410453
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 2.41031
  52. ema21 : 2.40843
  53. ema50 : 2.40672
  54. ema100 : 2.40695
  55. price_ema9_diff : 0.00360344
  56. ema9_ema21_diff : 0.000781925
  57. ema21_ema50_diff : 0.000708953
  58. price_ema100_diff : 0.00500621
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0130808
  62. ema_slope_21 : 0.00564131
  63. ema_slope_50 : 0.00389259
  64. ema_slope_100 : 0.00128212
  65. rsi : 0.665629
  66. adx : 0.155852
  67. kc_percentage : 1.12588
  68. kc_width_percentage : 0.00691033
  69. volume_ema_diff : -0.104191
  70. volume_ema1 : 22904.186613871
  71. volume_ema2 : 25568.163034552
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115488
  77. 5m_price_ema100_diff:
    0.00238284
  78. 5m_price:
    115763
  79. 5m_correlation_with_coin:
    0.650438
  80. btc_indicators
  81. 15m_ema100:
    115396
  82. 15m_price_ema100_diff:
    0.00318607
  83. 15m_price:
    115763
  84. 15m_correlation_with_coin:
    -0.016071
  85. btc_indicators
  86. 1H_ema100:
    115422
  87. 1H_price_ema100_diff:
    0.00296006
  88. 1H_price:
    115763
  89. 1H_correlation_with_coin:
    -0.067166
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
03:50:00
16 Sep 2025
04:05:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.419 2.4254 2.4063 1.98 0.9884
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 2.419
  • Stop Loss: 2.4254
  • Take Profit: 2.4063

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.4254 - 2.419 = 0.0063999999999997

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.419 - 2.4063 = 0.0127

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0127 / 0.0063999999999997 = 1.9844

📌 Position Size

Amount Margin Quantity Leverage
3038.754 100 1256.2026 30.39
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 0.0063999999999997

Taille de position = 8 / 0.0063999999999997 = 1250

Taille de position USD = 1250 x 2.419 = 3023.75

Donc, tu peux acheter 1250 avec un stoploss a 2.4254

Avec un position size USD de 3023.75$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1250 x 0.0063999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1250 x 0.0127 = 15.88

Si Take Profit atteint, tu gagneras 15.88$

Résumé

  • Taille de position 1250
  • Taille de position USD 3023.75
  • Perte potentielle 8
  • Gain potentiel 15.88
  • Risk-Reward Ratio 1.9844

📌 Peformances

TP % Target TP $ Target
0.53 % 15.95 $
SL % Target SL $ Target
0.26 % 8.04 $
PNL PNL %
-8.04 $ -0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3307 % 124.98 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.4063
            [entry_price] => 2.419
            [stop_loss] => 2.42604
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.4063
            [entry_price] => 2.419
            [stop_loss] => 2.42668
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 04:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.4063
            [entry_price] => 2.419
            [stop_loss] => 2.42732
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.4063
            [entry_price] => 2.419
            [stop_loss] => 2.4286
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 04:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0060000000000002
            [max_drawdown] => 0.017
            [rr_ratio] => 0.35
            [high] => 2.43600000
            [low] => 2.41300000
            [mfe_pct] => 0.25
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 25
            [start_at] => 2025-09-16T03:50:00-04:00
            [end_at] => 2025-09-16T05:50:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.042
            [rr_ratio] => 0.19
            [high] => 2.46100000
            [low] => 2.41100000
            [mfe_pct] => 0.33
            [mae_pct] => 1.74
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 85
            [start_at] => 2025-09-16T03:50:00-04:00
            [end_at] => 2025-09-16T10:50:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.42100000
            [high_after] => 2.46100000
            [low_before] => 2.37400000
            [low_after] => 2.41300000
            [is_new_high] => 
            [is_new_low] => 
        )

)