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Trade

buy - PYTH

Status
win
2025-05-23 01:08:00
47 minutes
PNL
1.41
Entry: 0.142
Last: 0.14400000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.7653
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.5
ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0008950223002
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.14228
  4. ema21 - 0.139355
  5. ema50 - 0.136524
  6. ema100 - 0.137271
  7. price_ema9_diff - -0.00197442
  8. ema9_ema21_diff - 0.0209897
  9. ema21_ema50_diff - 0.02074
  10. price_ema100_diff - 0.0344492
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.57724
  14. kc_percentage - 0.685732
  15. kc_width_percentage - 0.0930749
    16. ¸
  16. 15m
  17. ema9 - 0.143903
  18. ema21 - 0.143559
  19. ema50 - 0.141157
  20. ema100 - 0.13899
  21. price_ema9_diff - -0.0132244
  22. ema9_ema21_diff - 0.00239204
  23. ema21_ema50_diff - 0.0170178
  24. price_ema100_diff - 0.0216515
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.461862
  28. kc_percentage - 0.271443
  29. kc_width_percentage - 0.0507745
    30. ¸
  30. 5m
  31. ema9 - 0.142673
  32. ema21 - 0.143788
  33. ema50 - 0.144027
  34. ema100 - 0.142509
  35. price_ema9_diff - -0.00471866
  36. ema9_ema21_diff - -0.0077535
  37. ema21_ema50_diff - -0.00166175
  38. price_ema100_diff - -0.00357288
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.343837
  42. kc_percentage - -0.0125956
  43. kc_width_percentage - 0.0236472
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111113
  47. 5m_price_ema100_diff: -0.00263017
  48. 5m_price: 110821
  49. 5m_correlation_with_coin: 0.409689
  50. btc_indicators
  51. 15m_ema100: 111188
  52. 15m_price_ema100_diff: -0.00330424
  53. 15m_price: 110821
  54. btc_indicators
  55. 1H_ema100: 108228
  56. 1H_price_ema100_diff: 0.0239577
  57. 1H_price: 110821
    58. ¸

Long Trade on PYTH

The 23 May 2025 at 01:08:00

With 5959 PYTH at 0.142$ per unit.

Position size of 846.2 $

Take profit at 0.144 (1.4 %) and Stop Loss at 0.1407 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -26.11 %

Symbol Start at Seach Score Trade Score Trades Count
IMX 2025-05-02 01:19:31 0.9605 30 2
DOGE 2025-07-09 20:59:23 0.9565 40 1
EGLD 2025-04-25 00:45:49 0.9543 35 2
PEPE 2025-06-29 22:35:03 0.9533 -100 2
HYPE 2025-06-10 10:08:13 0.9548 -100 1
GPS 2025-06-08 09:32:22 0.9527 30 1
LTC 2025-06-28 16:25:45 0.9482 -100 2
BID 2025-06-09 10:13:01 0.9473 30 1
AAVE 2025-05-18 14:59:11 0.947 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
01:08:00		 23 May 2025
01:55:00		 47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.142 0.1407 0.144 1.5 0.1199
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 0.142
  • Stop Loss: 0.1407
  • Take Profit: 0.144

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1407 - 0.142 = -0.0013

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.142 - 0.144 = -0.002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.002 / -0.0013 = 1.5385

📌 Position Size

Amount Margin Quantity Leverage
846.2 100 5959 8.46
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 -0.0013

Taille de position = 8 / -0.0013 = -6153.85

Taille de position USD = -6153.85 x 0.142 = -873.85

Donc, tu peux acheter -6153.85 avec un stoploss a 0.1407

Avec un position size USD de -873.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6153.85 x -0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6153.85 x -0.002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

  • Taille de position -6153.85
  • Taille de position USD -873.85
  • Perte potentielle 8
  • Gain potentiel 12.31
  • Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.92 % 7.7 $
PNL PNL %
12 $ 1.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.56338028169014 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1446
            [stop_loss] => 0.1407
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 01:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14525
            [stop_loss] => 0.1407
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1459
            [stop_loss] => 0.1407
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.14655
            [stop_loss] => 0.1407
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1472
            [stop_loss] => 0.1407
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.14785
            [stop_loss] => 0.1407
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1485
            [stop_loss] => 0.1407
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.14915
            [stop_loss] => 0.1407
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1498
            [stop_loss] => 0.1407
            [rr_ratio] => 6
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.15045
            [stop_loss] => 0.1407
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1511
            [stop_loss] => 0.1407
            [rr_ratio] => 7
            [closed_at] => 2025-05-23 02:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)