Short Trade on FIL

The 02 Apr 2025 at 20:42:59

With 375.5092 FIL at 2.751$ per unit.

Position size of 1033.0259 $

Take profit at 2.719 (1.16 %) and Stop Loss at 2.7723 (0.77 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.55
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0142029354
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 2.76941
  4. ema21 - 2.79439
  5. ema50 - 2.80472
  6. price_ema9_diff - -0.00659154
  7. ema9_ema21_diff - -0.00893919
  8. ema21_ema50_diff - -0.00368075
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.431567
  12. kc_percentage - 0.320164
  13. kc_width_percentage - 0.0853089
  14. ¸
  15. 15m
  16. ema9 - 2.72265
  17. ema21 - 2.74697
  18. ema50 - 2.7793
  19. price_ema9_diff - 0.0103192
  20. ema9_ema21_diff - -0.00885229
  21. ema21_ema50_diff - -0.0116329
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.48695
  25. kc_percentage - 0.546741
  26. kc_width_percentage - 0.0468436
  27. ¸
  28. 5m
  29. ema9 - 2.7321
  30. ema21 - 2.72041
  31. ema50 - 2.73883
  32. price_ema9_diff - 0.00694446
  33. ema9_ema21_diff - 0.00429875
  34. ema21_ema50_diff - -0.00672561
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.634956
  38. kc_percentage - 1.07733
  39. kc_width_percentage - 0.019178
  40. ¸

📌 Time Data

Start at Closed at Duration
02 Apr 2025
20:42:59
02 Apr 2025
21:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.751 2.7723 2.719 1.5 1.333
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 2.751
  • Stop Loss: 2.7723
  • Take Profit: 2.719

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.7723 - 2.751 = 0.0213

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.751 - 2.719 = 0.032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.032 / 0.0213 = 1.5023

📌 Position Size

Amount Margin Quantity Leverage
1033.0259 100 375.5092 10.33
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 0.0213

Taille de position = 8 / 0.0213 = 375.59

Taille de position USD = 375.59 x 2.751 = 1033.25

Donc, tu peux acheter 375.59 avec un stoploss a 2.7723

Avec un position size USD de 1033.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 375.59 x 0.0213 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 375.59 x 0.032 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 375.59
  • Taille de position USD 1033.25
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5023

📌 Peformances

TP % Target TP $ Target
1.16 % 12.02 $
SL % Target SL $ Target
0.77 % 8 $
PNL PNL %
-8 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.90876045074518 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.719
            [entry_price] => 2.751
            [stop_loss] => 2.7741
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-02 21:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.719
            [entry_price] => 2.751
            [stop_loss] => 2.7762
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-02 22:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.719
            [entry_price] => 2.751
            [stop_loss] => 2.7783
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-02 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.719
            [entry_price] => 2.751
            [stop_loss] => 2.7825
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-02 22:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0099999999999998
            [max_drawdown] => 0.033
            [rr_ratio] => 0.3
            [high] => 2.78400000
            [low] => 2.74100000
            [mfe_pct] => 0.36
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-04-02T20:42:59-04:00
            [end_at] => 2025-04-02T22:42:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.017
            [max_drawdown] => 0.033
            [rr_ratio] => 0.52
            [high] => 2.78400000
            [low] => 2.73400000
            [mfe_pct] => 0.62
            [mae_pct] => 1.2
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 72
            [start_at] => 2025-04-02T20:42:59-04:00
            [end_at] => 2025-04-03T02:42:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.83000000
            [high_after] => 2.78400000
            [low_before] => 2.64400000
            [low_after] => 2.73400000
            [is_new_high] => 
            [is_new_low] => 
        )

)