Web3Way

Trade

sell - PRAI

Status
win
2025-05-29 14:17:15
27 minutes
PNL
3.21
Entry: 0.04546
Last: 0.04400000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.425
Prediction 1 Accuracy
Weak Trade
0.93
Prediction 2 Accuracy
0 0.83
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000648013209
Details
  1. score: 1.01
  2. 1H: ema9 - 0.0462119
  3. 1H: ema21 - 0.0513953
  4. 1H: ema50 - 0.0585523
  5. 1H: ema100 - 0.0634175
  6. 1H: price_ema9_diff - -0.0162709
  7. 1H: ema9_ema21_diff - -0.100853
  8. 1H: ema21_ema50_diff - -0.122232
  9. 1H: price_ema100_diff - -0.283164
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - True
  12. 1H: rsi - 0.287596
  13. 1H: kc_percentage - 0.0631617
  14. 1H: kc_width_percentage - 0.280072
    15. ¸
  15. 15m: ema9 - 0.0441824
  16. 15m: ema21 - 0.0447683
  17. 15m: ema50 - 0.048154
  18. 15m: ema100 - 0.0525665
  19. 15m: price_ema9_diff - 0.0289158
  20. 15m: ema9_ema21_diff - -0.0130883
  21. 15m: ema21_ema50_diff - -0.0703096
  22. 15m: price_ema100_diff - -0.13519
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.503538
  26. 15m: kc_percentage - 0.644935
  27. 15m: kc_width_percentage - 0.119029
    28. ¸
  28. 5m: ema9 - 0.0446322
  29. 5m: ema21 - 0.0441464
  30. 5m: ema50 - 0.0443443
  31. 5m: ema100 - 0.0454078
  32. 5m: price_ema9_diff - 0.0185462
  33. 5m: ema9_ema21_diff - 0.011004
  34. 5m: ema21_ema50_diff - -0.00446384
  35. 5m: price_ema100_diff - 0.00114747
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.71039
  39. 5m: kc_percentage - 1.00897
  40. 5m: kc_width_percentage - 0.0559779
    41. ¸

Short Trade on PRAI

The 29 May 2025 at 14:17:15

With 374.1 PRAI at 0.04546$ per unit.

Take profit at 0.044 (3.2 %) and Stop Loss at 0.04643 (2.1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -42.5 %

Symbol Start at Seach Score Trade Score Trades Count
BGB 2025-03-28 13:05:05 0.9795 -100 2
KAITO 2025-03-26 21:18:21 0.9792 -56.67 3
GRASS 2025-05-25 08:51:53 0.9782 -100 2
NOT 2025-04-06 21:31:30 0.9781 100 1
MOODENG 2025-05-17 06:21:21 0.9774 -13.33 3
CETUS 2025-05-25 15:33:28 0.9755 30 1
GOAT 2025-05-17 06:20:41 0.9755 -100 1
PYTH 2025-05-15 11:30:24 0.9753 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
14:17:15		 29 May 2025
14:45:00		 27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.04546 0.04643 0.044 1.5 0.02668
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 0.04546
  • Stop Loss: 0.04643
  • Take Profit: 0.044

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04643 - 0.04546 = 0.00097

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.04546 - 0.044 = 0.00146

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00146 / 0.00097 = 1.5052

📌 Position Size

Amount Margin Quantity Leverage
374.1 100 8230 3.74
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 0.00097

Taille de position = 8 / 0.00097 = 8247.42

Taille de position USD = 8247.42 x 0.04546 = 374.93

Donc, tu peux acheter 8247.42 avec un stoploss a 0.04643

Avec un position size USD de 374.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8247.42 x 0.00097 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8247.42 x 0.00146 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

  • Taille de position 8247.42
  • Taille de position USD 374.93
  • Perte potentielle 8
  • Gain potentiel 12.04
  • Risk-Reward Ratio 1.5052

📌 Peformances

TP % Target TP $ Target
3.2 % 12 $
SL % Target SL $ Target
2.1 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 3.21 -1.0338759348878

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04352
            [stop_loss] => 0.04643
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 15:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.043035
            [stop_loss] => 0.04643
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 15:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04255
            [stop_loss] => 0.04643
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 15:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.042065
            [stop_loss] => 0.04643
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 15:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04158
            [stop_loss] => 0.04643
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 15:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.041095
            [stop_loss] => 0.04643
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 15:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04061
            [stop_loss] => 0.04643
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 15:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)