Web3Way Logo

Trade

sell - PYTH

Status
loss
2025-05-20 17:01:06
3 minutes
PNL
-0.86
Entry: 0.1279
Last: 0.12900000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.4157
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
0 0.36
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0007327705614
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.128036
  4. ema21 - 0.131436
  5. ema50 - 0.137744
  6. ema100 - 0.144396
  7. price_ema9_diff - -0.00106705
  8. ema9_ema21_diff - -0.0258683
  9. ema21_ema50_diff - -0.0457917
  10. price_ema100_diff - -0.114245
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.365636
  14. kc_percentage - 0.214881
  15. kc_width_percentage - 0.089845
    16. ¸
  16. 15m
  17. ema9 - 0.126567
  18. ema21 - 0.12709
  19. ema50 - 0.12926
  20. ema100 - 0.131646
  21. price_ema9_diff - 0.0105247
  22. ema9_ema21_diff - -0.00411481
  23. ema21_ema50_diff - -0.0167853
  24. price_ema100_diff - -0.0284561
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.519314
  28. kc_percentage - 0.656395
  29. kc_width_percentage - 0.0441055
    30. ¸
  30. 5m
  31. ema9 - 0.127
  32. ema21 - 0.126396
  33. ema50 - 0.126618
  34. ema100 - 0.12749
  35. price_ema9_diff - 0.00708396
  36. ema9_ema21_diff - 0.00477701
  37. ema21_ema50_diff - -0.00174909
  38. price_ema100_diff - 0.00321456
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.616931
  42. kc_percentage - 1.01995
  43. kc_width_percentage - 0.0222487
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105757
  47. 5m_price_ema100_diff: 0.013052
  48. 5m_price: 107137
  49. 5m_correlation_with_coin: 0.634456
  50. btc_indicators
  51. 15m_ema100: 105597
  52. 15m_price_ema100_diff: 0.0145875
  53. 15m_price: 107137
  54. btc_indicators
  55. 1H_ema100: 104540
  56. 1H_price_ema100_diff: 0.0248472
  57. 1H_price: 107137
    58. ¸

Short Trade on PYTH

The 20 May 2025 at 17:01:06

With 7278 PYTH at 0.1279$ per unit.

Position size of 930.9 $

Take profit at 0.1263 (1.3 %) and Stop Loss at 0.129 (0.86 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -21.48 %

Symbol Start at Seach Score Trade Score Trades Count
LDO 2025-06-17 15:14:02 0.9733 -53.33 3
XLM 2025-06-17 15:22:04 0.973 30 1
XLM 2025-04-07 04:30:37 0.9705 -100 1
FIL 2025-06-17 15:11:13 0.9718 -100 1
ICP 2025-05-03 15:40:21 0.9686 30 2
OP 2025-07-01 21:46:39 0.9689 30 2
TON 2025-07-01 13:51:16 0.9681 40 1
TAO 2025-06-17 15:27:59 0.968 30 1
ENA 2025-06-17 15:07:50 0.968 -100 1

📌 Time Data

Start at Closed at Duration
20 May 2025
17:01:06		 20 May 2025
17:05:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1279 0.129 0.1263 1.5 0.0958
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 0.1279
  • Stop Loss: 0.129
  • Take Profit: 0.1263

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.129 - 0.1279 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1279 - 0.1263 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
930.9 100 7278 9.31
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.1279 = 930.18

Donc, tu peux acheter 7272.73 avec un stoploss a 0.129

Avec un position size USD de 930.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 930.18
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.86 % 8 $
PNL PNL %
-8 $ -0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3291634089132 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1263
            [entry_price] => 0.1279
            [stop_loss] => 0.12911
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-20 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1263
            [entry_price] => 0.1279
            [stop_loss] => 0.12922
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-20 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1263
            [entry_price] => 0.1279
            [stop_loss] => 0.12933
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-20 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1263
            [entry_price] => 0.1279
            [stop_loss] => 0.12955
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-20 17:05:00
            [result] => loss
        )

)