Short Trade on FIL

The 07 Apr 2025 at 04:40:59

With 255.7574 FIL at 2.275$ per unit.

Position size of 581.8481 $

Take profit at 2.2281 (2.06 %) and Stop Loss at 2.3063 (1.38 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.2
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: 0.01
  4. atr: 0.02085309419
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 2.2986
  4. ema21 - 2.39385
  5. ema50 - 2.52134
  6. price_ema9_diff - -0.00985953
  7. ema9_ema21_diff - -0.0397924
  8. ema21_ema50_diff - -0.0505636
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.353256
  12. kc_percentage - 0.128126
  13. kc_width_percentage - 0.132563
  14. ¸
  15. 15m
  16. ema9 - 2.23741
  17. ema21 - 2.27052
  18. ema50 - 2.34125
  19. price_ema9_diff - 0.0165553
  20. ema9_ema21_diff - -0.014584
  21. ema21_ema50_diff - -0.0302116
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.48065
  25. kc_percentage - 0.543909
  26. kc_width_percentage - 0.0737067
  27. ¸
  28. 5m
  29. ema9 - 2.24821
  30. ema21 - 2.23484
  31. ema50 - 2.25917
  32. price_ema9_diff - 0.0119852
  33. ema9_ema21_diff - 0.00598327
  34. ema21_ema50_diff - -0.0107717
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.621583
  38. kc_percentage - 1.01051
  39. kc_width_percentage - 0.0345826
  40. ¸

📌 Time Data

Start at Closed at Duration
07 Apr 2025
04:40:59
07 Apr 2025
05:40:00
59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.275 2.3063 2.2281 1.5 1.332
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 2.275
  • Stop Loss: 2.3063
  • Take Profit: 2.2281

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.3063 - 2.275 = 0.0313

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.275 - 2.2281 = 0.0469

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0469 / 0.0313 = 1.4984

📌 Position Size

Amount Margin Quantity Leverage
581.8481 100 255.7574 5.82
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 0.0313

Taille de position = 8 / 0.0313 = 255.59

Taille de position USD = 255.59 x 2.275 = 581.47

Donc, tu peux acheter 255.59 avec un stoploss a 2.3063

Avec un position size USD de 581.47$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 255.59 x 0.0313 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 255.59 x 0.0469 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 255.59
  • Taille de position USD 581.47
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4984

📌 Peformances

TP % Target TP $ Target
2.06 % 12 $
SL % Target SL $ Target
1.38 % 8.01 $
PNL PNL %
-7.93 $ -1.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4945054945055 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.228
            [entry_price] => 2.275
            [stop_loss] => 2.3091
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-07 05:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.228
            [entry_price] => 2.275
            [stop_loss] => 2.3122
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-07 05:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.228
            [entry_price] => 2.275
            [stop_loss] => 2.3153
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-07 05:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.228
            [entry_price] => 2.275
            [stop_loss] => 2.3215
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-07 06:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0099999999999998
            [max_drawdown] => 0.049
            [rr_ratio] => 0.2
            [high] => 2.32400000
            [low] => 2.26500000
            [mfe_pct] => 0.44
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-04-07T04:40:59-04:00
            [end_at] => 2025-04-07T06:40:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.014
            [max_drawdown] => 0.192
            [rr_ratio] => 0.07
            [high] => 2.46700000
            [low] => 2.26100000
            [mfe_pct] => 0.62
            [mae_pct] => 8.44
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 72
            [start_at] => 2025-04-07T04:40:59-04:00
            [end_at] => 2025-04-07T10:40:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.36800000
            [high_after] => 2.46700000
            [low_before] => 2.11200000
            [low_after] => 2.26100000
            [is_new_high] => 
            [is_new_low] => 
        )

)