Web3Way Logo

Trade

buy - AVAAI

Status
win
2025-05-27 18:39:40
25 minutes
PNL
2.61
Entry: 0.05432
Last: 0.05574000

Results

Status:
win
Trade Type:
buy
Prediction Score: -4.6573
Prediction 1 Accuracy
Strong Trade
0.54
Prediction 2 Accuracy
0 0.48
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0006306623389
Details
  1. score: 2.05
  2. 1H: ema9 - 0.0546824
  3. 1H: ema21 - 0.0532326
  4. 1H: ema50 - 0.0530747
  5. 1H: ema100 - 0.0561785
  6. 1H: price_ema9_diff - -0.00662864
  7. 1H: ema9_ema21_diff - 0.0272351
  8. 1H: ema21_ema50_diff - 0.00297538
  9. 1H: price_ema100_diff - -0.0330837
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.540422
  13. 1H: kc_percentage - 0.600193
  14. 1H: kc_width_percentage - 0.187059
    15. ¸
  15. 15m: ema9 - 0.0558074
  16. 15m: ema21 - 0.0556347
  17. 15m: ema50 - 0.0540799
  18. 15m: ema100 - 0.0522525
  19. 15m: price_ema9_diff - -0.026653
  20. 15m: ema9_ema21_diff - 0.00310397
  21. 15m: ema21_ema50_diff - 0.0287491
  22. 15m: price_ema100_diff - 0.0395656
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.450013
  26. 15m: kc_percentage - 0.235315
  27. 15m: kc_width_percentage - 0.094666
    28. ¸
  28. 5m: ema9 - 0.0549841
  29. 5m: ema21 - 0.0556976
  30. 5m: ema50 - 0.0558003
  31. 5m: ema100 - 0.0549621
  32. 5m: price_ema9_diff - -0.0120782
  33. 5m: ema9_ema21_diff - -0.01281
  34. 5m: ema21_ema50_diff - -0.00184129
  35. 5m: price_ema100_diff - -0.0116842
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.337587
  39. 5m: kc_percentage - -0.0521968
  40. 5m: kc_width_percentage - 0.0447923
    41. ¸

Long Trade on AVAAI

The 27 May 2025 at 18:39:40

With 459.4 AVAAI at 0.05432$ per unit.

Take profit at 0.05574 (2.6 %) and Stop Loss at 0.05337 (1.7 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -20 %

Symbol Start at Seach Score Trade Score Trades Count
MKR 2025-03-27 03:44:19 0.9598 -100 4
WCT 2025-05-27 19:08:44 0.9592 40 1
AAVE 2025-05-16 08:35:35 0.9564 -100 3
ENA 2025-05-13 19:06:07 0.9563 50 1
MOODENG 2025-05-18 08:07:27 0.9554 30 1
LPT 2025-05-30 12:01:22 0.9548 -100 1
BMT 2025-05-29 12:21:28 0.9544 40 1

📌 Time Data

Start at Closed at Duration
27 May 2025
18:39:40		 27 May 2025
19:05:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05432 0.05337 0.05574 1.5 0.03454
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 0.05432
  • Stop Loss: 0.05337
  • Take Profit: 0.05574

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05337 - 0.05432 = -0.00095

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05432 - 0.05574 = -0.00142

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00142 / -0.00095 = 1.4947

📌 Position Size

Amount Margin Quantity Leverage
459.4 100 8457 4.59
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 -0.00095

Taille de position = 8 / -0.00095 = -8421.05

Taille de position USD = -8421.05 x 0.05432 = -457.43

Donc, tu peux acheter -8421.05 avec un stoploss a 0.05337

Avec un position size USD de -457.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8421.05 x -0.00095 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8421.05 x -0.00142 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -8421.05
  • Taille de position USD -457.43
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4947

📌 Peformances

TP % Target TP $ Target
2.6 % 12 $
SL % Target SL $ Target
1.7 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.61 -0.33136966126657

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05622
            [stop_loss] => 0.05337
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 19:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.056695
            [stop_loss] => 0.05337
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 19:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05717
            [stop_loss] => 0.05337
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 19:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.057645
            [stop_loss] => 0.05337
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 19:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.05812
            [stop_loss] => 0.05337
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 19:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.058595
            [stop_loss] => 0.05337
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 19:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.05907
            [stop_loss] => 0.05337
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 21:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)