Web3Way Logo

Trade

buy - SAGA

Status
win
2025-05-23 18:47:35
1 hour
PNL
2.02
Entry: 0.4063
Last: 0.41450000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.67
Prediction 2 Accuracy
0 0.46
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.003653401975
Details
  1. score: 2.01
  2. 1H: ema9 - 0.413953
  3. 1H: ema21 - 0.404913
  4. 1H: ema50 - 0.383613
  5. 1H: ema100 - 0.363674
  6. 1H: price_ema9_diff - -0.0184887
  7. 1H: ema9_ema21_diff - 0.0223244
  8. 1H: ema21_ema50_diff - 0.0555269
  9. 1H: price_ema100_diff - 0.117209
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.533741
  13. 1H: kc_percentage - 0.507958
  14. 1H: kc_width_percentage - 0.160844
    15. ¸
  15. 15m: ema9 - 0.414242
  16. 15m: ema21 - 0.416749
  17. 15m: ema50 - 0.413093
  18. 15m: ema100 - 0.402769
  19. 15m: price_ema9_diff - -0.0191747
  20. 15m: ema9_ema21_diff - -0.00601525
  21. 15m: ema21_ema50_diff - 0.00885204
  22. 15m: price_ema100_diff - 0.00876557
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.401415
  26. 15m: kc_percentage - 0.163562
  27. 15m: kc_width_percentage - 0.0760119
    28. ¸
  28. 5m: ema9 - 0.411001
  29. 5m: ema21 - 0.413593
  30. 5m: ema50 - 0.416652
  31. 5m: ema100 - 0.417858
  32. 5m: price_ema9_diff - -0.0114397
  33. 5m: ema9_ema21_diff - -0.00626689
  34. 5m: ema21_ema50_diff - -0.00734224
  35. 5m: price_ema100_diff - -0.0276607
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.326783
  39. 5m: kc_percentage - -0.00629064
  40. 5m: kc_width_percentage - 0.0347014
    41. ¸

Long Trade on SAGA

The 23 May 2025 at 18:47:35

With 593.1 SAGA at 0.4063$ per unit.

Take profit at 0.4145 (2 %) and Stop Loss at 0.4008 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -37.27 %

Symbol Start at Seach Score Trade Score Trades Count
DEEP 2025-04-28 13:19:56 0.8833 40 1
SSV 2025-06-03 19:25:41 0.8792 -100 1
ENA 2025-05-11 02:45:22 0.8788 -100 1
XRP 2025-06-03 20:14:07 0.8781 -100 1
POL 2025-03-26 09:59:54 0.8771 -100 2
AI16Z 2025-05-13 20:49:47 0.8735 -100 1
FLOKI 2025-04-29 02:00:46 0.8714 40 1
LINK 2025-05-09 00:40:52 0.8708 50 1
MEW 2025-05-12 08:25:25 0.87 -100 2
SONIC 2025-05-01 06:45:03 0.8695 30 1
CRV 2025-04-09 21:57:37 0.8688 30 1

📌 Time Data

Start at Closed at Duration
23 May 2025
18:47:35		 23 May 2025
20:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4063 0.4008 0.4145 1.5 0.2878
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 0.4063
  • Stop Loss: 0.4008
  • Take Profit: 0.4145

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4008 - 0.4063 = -0.0055

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4063 - 0.4145 = -0.0082

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0082 / -0.0055 = 1.4909

📌 Position Size

Amount Margin Quantity Leverage
593.1 100 1460 5.93
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 -0.0055

Taille de position = 8 / -0.0055 = -1454.55

Taille de position USD = -1454.55 x 0.4063 = -590.98

Donc, tu peux acheter -1454.55 avec un stoploss a 0.4008

Avec un position size USD de -590.98$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1454.55 x -0.0055 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1454.55 x -0.0082 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position -1454.55
  • Taille de position USD -590.98
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4909

📌 Peformances

TP % Target TP $ Target
2 % 12 $
SL % Target SL $ Target
1.4 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.02 -1.2306177701206

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4173
            [stop_loss] => 0.4008
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.42005
            [stop_loss] => 0.4008
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 20:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4228
            [stop_loss] => 0.4008
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 20:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.42555
            [stop_loss] => 0.4008
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 20:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.4283
            [stop_loss] => 0.4008
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.43105
            [stop_loss] => 0.4008
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4338
            [stop_loss] => 0.4008
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)