Web3Way Logo

Trade

sell - ATH

Status
win
2025-05-31 17:31:37
8 minutes
PNL
0.66
Entry: 0.04849
Last: 0.04817000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.24
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.47
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.3
  4. atr: 0.0001439741305
Details
  1. score: 1.3
  2. 1H: ema9 - 0.0482049
  3. 1H: ema21 - 0.0488536
  4. 1H: ema50 - 0.049978
  5. 1H: ema100 - 0.0510003
  6. 1H: price_ema9_diff - 0.00591418
  7. 1H: ema9_ema21_diff - -0.0132797
  8. 1H: ema21_ema50_diff - -0.0224981
  9. 1H: price_ema100_diff - -0.0492212
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.454833
  13. 1H: kc_percentage - 0.429504
  14. 1H: kc_width_percentage - 0.089792
    15. ¸
  15. 15m: ema9 - 0.0480537
  16. 15m: ema21 - 0.0480259
  17. 15m: ema50 - 0.0483331
  18. 15m: ema100 - 0.0491635
  19. 15m: price_ema9_diff - 0.00907836
  20. 15m: ema9_ema21_diff - 0.000579567
  21. 15m: ema21_ema50_diff - -0.00635575
  22. 15m: price_ema100_diff - -0.013701
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.583133
  26. 15m: kc_percentage - 0.855858
  27. 15m: kc_width_percentage - 0.0270736
    28. ¸
  28. 5m: ema9 - 0.0481832
  29. 5m: ema21 - 0.0480407
  30. 5m: ema50 - 0.0479949
  31. 5m: ema100 - 0.0480271
  32. 5m: price_ema9_diff - 0.00636655
  33. 5m: ema9_ema21_diff - 0.0029665
  34. 5m: ema21_ema50_diff - 0.000954714
  35. 5m: price_ema100_diff - 0.00963756
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.735531
  39. 5m: kc_percentage - 1.29549
  40. 5m: kc_width_percentage - 0.0114991
    41. ¸

Short Trade on ATH

The 31 May 2025 at 17:31:37

With 1796 ATH at 0.04849$ per unit.

Take profit at 0.04817 (0.66 %) and Stop Loss at 0.04871 (0.45 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-06-01 12:13:47 0.8785 70 1
IO 2025-05-26 23:15:27 0.8733 40 1
AUCTION 2025-03-26 20:50:13 0.8715 -100 2
PYTH 2025-05-19 21:37:08 0.8716 30 1
GRIFFAIN 2025-05-31 08:17:49 0.8711 -100 1
HIFI 2025-05-04 10:07:02 0.8705 -100 1
UNI 2025-03-28 20:50:01 0.87 100 1
ARC 2025-03-26 21:15:01 0.8695 -100 3

📌 Time Data

Start at Closed at Duration
31 May 2025
17:31:37		 31 May 2025
17:40:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04849 0.04871 0.04817 1.5 0.05101
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 0.04849
  • Stop Loss: 0.04871
  • Take Profit: 0.04817

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04871 - 0.04849 = 0.00022

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04849 - 0.04817 = 0.00032

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00032 / 0.00022 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1796 100 37040 17.96
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 0.00022

Taille de position = 8 / 0.00022 = 36363.64

Taille de position USD = 36363.64 x 0.04849 = 1763.27

Donc, tu peux acheter 36363.64 avec un stoploss a 0.04871

Avec un position size USD de 1763.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 36363.64 x 0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 36363.64 x 0.00032 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 36363.64
  • Taille de position USD 1763.27
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
0.66 % 12 $
SL % Target SL $ Target
0.45 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.66 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04805
            [stop_loss] => 0.04871
            [rr_ratio] => 2
            [closed_at] => 2025-05-31 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.04794
            [stop_loss] => 0.04871
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-31 18:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04783
            [stop_loss] => 0.04871
            [rr_ratio] => 3
            [closed_at] => 2025-05-31 18:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.04772
            [stop_loss] => 0.04871
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-31 18:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04761
            [stop_loss] => 0.04871
            [rr_ratio] => 4
            [closed_at] => 2025-05-31 19:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0475
            [stop_loss] => 0.04871
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-31 19:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04739
            [stop_loss] => 0.04871
            [rr_ratio] => 5
            [closed_at] => 2025-05-31 19:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)