Web3Way Logo

Trade

sell - PYTH

Status
loss
2025-05-21 00:07:23
1 hour
PNL
-0.93
Entry: 0.1293
Last: 0.13050000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.5
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.94

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0007788583603
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.127639
  4. ema21 - 0.129532
  5. ema50 - 0.135108
  6. ema100 - 0.141298
  7. price_ema9_diff - 0.0130111
  8. ema9_ema21_diff - -0.0146121
  9. ema21_ema50_diff - -0.0412737
  10. price_ema100_diff - -0.0849129
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.46688
  14. kc_percentage - 0.496782
  15. kc_width_percentage - 0.0922285
    16. ¸
  16. 15m
  17. ema9 - 0.127403
  18. ema21 - 0.127162
  19. ema50 - 0.127897
  20. ema100 - 0.129993
  21. price_ema9_diff - 0.0148862
  22. ema9_ema21_diff - 0.00189523
  23. ema21_ema50_diff - -0.00574478
  24. price_ema100_diff - -0.00533518
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.603553
  28. kc_percentage - 0.865961
  29. kc_width_percentage - 0.0452185
    30. ¸
  30. 5m
  31. ema9 - 0.128093
  32. ema21 - 0.127389
  33. ema50 - 0.127061
  34. ema100 - 0.126912
  35. price_ema9_diff - 0.00941735
  36. ema9_ema21_diff - 0.00553049
  37. ema21_ema50_diff - 0.00257682
  38. price_ema100_diff - 0.0188092
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.706679
  42. kc_percentage - 1.08584
  43. kc_width_percentage - 0.024761
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 106737
  47. 5m_price_ema100_diff: 0.00127722
  48. 5m_price: 106873
  49. 5m_correlation_with_coin: 0.581622
  50. btc_indicators
  51. 15m_ema100: 106101
  52. 15m_price_ema100_diff: 0.00727543
  53. 15m_price: 106873
  54. btc_indicators
  55. 1H_ema100: 104702
  56. 1H_price_ema100_diff: 0.0207382
  57. 1H_price: 106873
    58. ¸

Short Trade on PYTH

The 21 May 2025 at 00:07:23

With 6847.6293 PYTH at 0.1293$ per unit.

Position size of 885.3985 $

Take profit at 0.1275 (1.39 %) and Stop Loss at 0.1305 (0.93 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.63 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-07-04 13:31:40 0.8746 -100 2
BCH 2025-06-21 06:48:17 0.8678 -35 4
SKYAI 2025-05-15 12:10:12 0.8673 -100 1
TAO 2025-06-12 09:38:49 0.8621 40 1
WCT 2025-06-01 15:19:56 0.8592 30 1
PLUME 2025-08-12 03:39:35 0.8576 30 1
ZK 2025-06-15 18:50:46 0.8557 30 2
ZEREBRO 2025-05-20 23:19:44 0.8508 -100 1

📌 Time Data

Start at Closed at Duration
21 May 2025
00:07:23		 21 May 2025
01:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1293 0.1305 0.1275 1.5 0.1247
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 0.1293
  • Stop Loss: 0.1305
  • Take Profit: 0.1275

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1305 - 0.1293 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1293 - 0.1275 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
885.3985 100 6847.6293 8.85
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1293 = 862

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1305

Avec un position size USD de 862$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 862
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.39 % 12.33 $
SL % Target SL $ Target
0.93 % 8.22 $
PNL PNL %
-8.22 $ -0.93
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3921113689095 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1275
            [entry_price] => 0.1293
            [stop_loss] => 0.13062
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-21 01:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1275
            [entry_price] => 0.1293
            [stop_loss] => 0.13074
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-21 01:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1275
            [entry_price] => 0.1293
            [stop_loss] => 0.13086
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-21 01:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1275
            [entry_price] => 0.1293
            [stop_loss] => 0.1311
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-21 01:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.45
            [high] => 0.13240000
            [low] => 0.12790000
            [mfe_pct] => 1.08
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 24
            [start_at] => 2025-05-21T00:07:23-04:00
            [end_at] => 2025-05-21T02:07:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.97
            [high] => 0.13240000
            [low] => 0.12630000
            [mfe_pct] => 2.32
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 72
            [start_at] => 2025-05-21T00:07:23-04:00
            [end_at] => 2025-05-21T06:07:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13000000
            [high_after] => 0.13240000
            [low_before] => 0.12410000
            [low_after] => 0.12630000
            [is_new_high] => 
            [is_new_low] => 
        )

)