Web3Way Logo

Trade

sell - FIL

Status
win
2025-05-17 01:07:23
7 minutes
PNL
0.60
Entry: 2.85
Last: 2.83300000

Results

Status:
win
Trade Type:
sell
Prediction Score: -5.3134
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
0 0.48
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.007506788744
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 2.85587
  4. ema21 - 2.89948
  5. ema50 - 2.95016
  6. ema100 - 2.99003
  7. price_ema9_diff - -0.00205658
  8. ema9_ema21_diff - -0.0150412
  9. ema21_ema50_diff - -0.0171782
  10. price_ema100_diff - -0.0468339
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.378713
  14. kc_percentage - 0.217369
  15. kc_width_percentage - 0.0581635
    16. ¸
  16. 15m
  17. ema9 - 2.83311
  18. ema21 - 2.83779
  19. ema50 - 2.87349
  20. ema100 - 2.91142
  21. price_ema9_diff - 0.0059612
  22. ema9_ema21_diff - -0.0016516
  23. ema21_ema50_diff - -0.012423
  24. price_ema100_diff - -0.021098
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.517156
  28. kc_percentage - 0.688805
  29. kc_width_percentage - 0.024697
    30. ¸
  30. 5m
  31. ema9 - 2.84391
  32. ema21 - 2.83461
  33. ema50 - 2.83262
  34. ema100 - 2.84749
  35. price_ema9_diff - 0.00214095
  36. ema9_ema21_diff - 0.00327854
  37. ema21_ema50_diff - 0.000701909
  38. price_ema100_diff - 0.000881239
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.638887
  42. kc_percentage - 1.04584
  43. kc_width_percentage - 0.00952344
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103349
  47. 5m_price_ema100_diff: 0.00181623
  48. 5m_price: 103537
  49. 5m_correlation_with_coin: 0.702686
  50. btc_indicators
  51. 15m_ema100: 103575
  52. 15m_price_ema100_diff: -0.00037368
  53. 15m_price: 103537
  54. btc_indicators
  55. 1H_ema100: 103232
  56. 1H_price_ema100_diff: 0.00295312
  57. 1H_price: 103537
    58. ¸

Short Trade on FIL

The 17 May 2025 at 01:07:23

With 710.468 FIL at 2.85$ per unit.

Position size of 2024.8339 $

Take profit at 2.8331 (0.59 %) and Stop Loss at 2.8613 (0.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 24.17 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-05-17 01:00:36 0.9869 43.33 3
APE 2025-05-17 01:03:48 0.9861 40 4
LINK 2025-05-17 00:59:21 0.9855 50 1
AVAX 2025-05-17 01:07:32 0.9813 40 1
NEAR 2025-05-17 01:00:07 0.9809 30 1
BNB 2025-05-17 01:07:09 0.9789 40 1
ARC 2025-04-06 17:02:33 0.9783 -100 1
FET 2025-05-17 01:00:40 0.9766 50 1

📌 Time Data

Start at Closed at Duration
17 May 2025
01:07:23		 17 May 2025
01:15:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.85 2.8613 2.8331 1.5 2.531
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 2.85
  • Stop Loss: 2.8613
  • Take Profit: 2.8331

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.8613 - 2.85 = 0.0113

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.85 - 2.8331 = 0.0169

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0169 / 0.0113 = 1.4956

📌 Position Size

Amount Margin Quantity Leverage
2024.8339 100 710.468 20.25
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 0.0113

Taille de position = 8 / 0.0113 = 707.96

Taille de position USD = 707.96 x 2.85 = 2017.69

Donc, tu peux acheter 707.96 avec un stoploss a 2.8613

Avec un position size USD de 2017.69$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 707.96 x 0.0113 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 707.96 x 0.0169 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position 707.96
  • Taille de position USD 2017.69
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4956

📌 Peformances

TP % Target TP $ Target
0.59 % 12.01 $
SL % Target SL $ Target
0.4 % 8.03 $
PNL PNL %
12.08 $ 0.60
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.828
            [stop_loss] => 2.861
            [rr_ratio] => 2
            [closed_at] => 2025-05-17 01:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.8225
            [stop_loss] => 2.861
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-17 01:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.817
            [stop_loss] => 2.861
            [rr_ratio] => 3
            [closed_at] => 2025-05-17 01:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.8115
            [stop_loss] => 2.861
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-17 01:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.806
            [stop_loss] => 2.861
            [rr_ratio] => 4
            [closed_at] => 2025-05-17 03:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.8005
            [stop_loss] => 2.861
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-17 04:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.795
            [stop_loss] => 2.861
            [rr_ratio] => 5
            [closed_at] => 2025-05-17 05:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.7895
            [stop_loss] => 2.861
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-17 05:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.784
            [stop_loss] => 2.861
            [rr_ratio] => 6
            [closed_at] => 2025-05-17 05:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.7785
            [stop_loss] => 2.861
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-17 05:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.043
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.84500000
            [low] => 2.80700000
            [mfe_pct] => 1.51
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-17T01:07:23-04:00
            [end_at] => 2025-05-17T03:07:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.075
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.84500000
            [low] => 2.77500000
            [mfe_pct] => 2.63
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-17T01:07:23-04:00
            [end_at] => 2025-05-17T07:07:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.85200000
            [high_after] => 2.84500000
            [low_before] => 2.76800000
            [low_after] => 2.77500000
            [is_new_high] => 
            [is_new_low] => 
        )

)