Web3Way Logo

Short Trade on FIL

Previous Trade Next Trade

Short Trade on FIL 15 May 2025 at 20:43:59

Take profit at 2.9412 (0.84 %) and Stop Loss at 2.9825 (0.56 %)

Short Trade on FIL

The 15 May 2025 at 20:43:59

With 483.8237 FIL at 2.966$ per unit.

Position size of 1435.021 $

Take profit at 2.9412 (0.84 %) and Stop Loss at 2.9825 (0.56 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 1.65
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.81
Prediction 2 Probability
0 0.48
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.803363

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01102329945
Details
  1. score: 1.07
  2. 1H
  3. ema9 : 2.95249
  4. ema21 : 2.97036
  5. ema50 : 3.02317
  6. ema100 : 3.06806
  7. price_ema9_diff : 0.00457354
  8. ema9_ema21_diff : -0.00601502
  9. ema21_ema50_diff : -0.0174684
  10. price_ema100_diff : -0.0332676
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.474006
  14. kc_percentage : 0.488508
  15. kc_width_percentage : 0.0685863
    16. ¸
  16. 15m
  17. ema9 : 2.94118
  18. ema21 : 2.94082
  19. ema50 : 2.94947
  20. ema100 : 2.96798
  21. price_ema9_diff : 0.00843715
  22. ema9_ema21_diff : 0.000122909
  23. ema21_ema50_diff : -0.00293407
  24. price_ema100_diff : -0.000669445
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.560352
  28. kc_percentage : 0.77079
  29. kc_width_percentage : 0.0316346
    30. ¸
  30. 5m
  31. ema9 : 2.95075
  32. ema21 : 2.94126
  33. ema50 : 2.93935
  34. ema100 : 2.94579
  35. price_ema9_diff : 0.00516791
  36. ema9_ema21_diff : 0.00322621
  37. ema21_ema50_diff : 0.000647273
  38. price_ema100_diff : 0.00685733
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.639084
  42. kc_percentage : 1.06828
  43. kc_width_percentage : 0.0144302
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103434
  47. 5m_price_ema100_diff: 
    0.00452872
  48. 5m_price: 
    103903
  49. 5m_correlation_with_coin: 
    0.803363
  50. btc_indicators
  51. 15m_ema100: 
    103063
  52. 15m_price_ema100_diff: 
    0.00814278
  53. 15m_price: 
    103903
  54. btc_indicators
  55. 1H_ema100: 
    103357
  56. 1H_price_ema100_diff: 
    0.00527746
  57. 1H_price: 
    103903
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 May 2025
20:43:59		 15 May 2025
21:00:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.966 2.9825 2.9412 1.5 0.999
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 2.966
  • Stop Loss: 2.9825
  • Take Profit: 2.9412

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.9825 - 2.966 = 0.0165

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.966 - 2.9412 = 0.0248

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0248 / 0.0165 = 1.503

📌 Position Size

Amount Margin Quantity Leverage
1435.021 100 483.8237 14.35
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 0.0165

Taille de position = 8 / 0.0165 = 484.85

Taille de position USD = 484.85 x 2.966 = 1438.07

Donc, tu peux acheter 484.85 avec un stoploss a 2.9825

Avec un position size USD de 1438.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 484.85 x 0.0165 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 484.85 x 0.0248 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 484.85
  • Taille de position USD 1438.07
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.503

📌 Peformances

TP % Target TP $ Target
0.84 % 12 $
SL % Target SL $ Target
0.56 % 7.98 $
PNL PNL %
12.1 $ 0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.932
            [stop_loss] => 2.983
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 21:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.9235
            [stop_loss] => 2.983
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.915
            [stop_loss] => 2.983
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.9065
            [stop_loss] => 2.983
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.898
            [stop_loss] => 2.983
            [rr_ratio] => 4
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.8895
            [stop_loss] => 2.983
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.881
            [stop_loss] => 2.983
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 2.8725
            [stop_loss] => 2.983
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 2.864
            [stop_loss] => 2.983
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.8555
            [stop_loss] => 2.983
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.847
            [stop_loss] => 2.983
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 22:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.036
            [max_drawdown] => 0.027
            [rr_ratio] => 1.33
            [high] => 2.99300000
            [low] => 2.93000000
            [mfe_pct] => 1.21
            [mae_pct] => 0.91
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T20:43:59-04:00
            [end_at] => 2025-05-15T22:43:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.036
            [max_drawdown] => 0.037
            [rr_ratio] => 0.97
            [high] => 3.00300000
            [low] => 2.93000000
            [mfe_pct] => 1.21
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T20:43:59-04:00
            [end_at] => 2025-05-16T02:43:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.96600000
            [high_after] => 3.00300000
            [low_before] => 2.88100000
            [low_after] => 2.93000000
            [is_new_high] => 
            [is_new_low] => 
        )

)