Trade

buy - PYTH

Status
win
2025-07-02 20:35:42
4 minutes
PNL
0.58
Entry: 0.103
Last: 0.10360000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.265
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.43
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0002808113378
Details
  1. score: 2.16
  2. 1H
  3. ema9 - 0.103718
  4. ema21 - 0.102851
  5. ema50 - 0.102136
  6. ema100 - 0.101756
  7. price_ema9_diff - -0.006932
  8. ema9_ema21_diff - 0.00843289
  9. ema21_ema50_diff - 0.00700476
  10. price_ema100_diff - 0.0122192
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.522397
  14. kc_percentage - 0.514414
  15. kc_width_percentage - 0.058662
  16. volume_ema_diff - -0.157255
  17. volume_ema1 - 169198.33337316
  18. volume_ema2 - 200770.71417219
  19. ¸
  20. 15m
  21. ema9 - 0.103743
  22. ema21 - 0.103947
  23. ema50 - 0.103497
  24. ema100 - 0.102419
  25. price_ema9_diff - -0.00716585
  26. ema9_ema21_diff - -0.00196474
  27. ema21_ema50_diff - 0.00435231
  28. price_ema100_diff - 0.00567135
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.417268
  32. kc_percentage - 0.131686
  33. kc_width_percentage - 0.0249382
  34. volume_ema_diff - -0.272405
  35. volume_ema1 - 35482.409587914
  36. volume_ema2 - 48766.750608899
  37. ¸
  38. 5m
  39. ema9 - 0.103386
  40. ema21 - 0.103752
  41. ema50 - 0.104056
  42. ema100 - 0.104273
  43. price_ema9_diff - -0.00374045
  44. ema9_ema21_diff - -0.00352959
  45. ema21_ema50_diff - -0.00291713
  46. price_ema100_diff - -0.0122169
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.325014
  50. kc_percentage - -0.158127
  51. kc_width_percentage - 0.010792
  52. volume_ema_diff - -0.14073
  53. volume_ema1 - 13013.185882715
  54. volume_ema2 - 15144.480120637
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 109130
  59. 5m_price_ema100_diff: -0.00374023
  60. 5m_price: 108722
  61. 5m_correlation_with_coin: 0.628644
  62. btc_indicators
  63. 15m_ema100: 107982
  64. 15m_price_ema100_diff: 0.00685022
  65. 15m_price: 108722
  66. btc_indicators
  67. 1H_ema100: 107406
  68. 1H_price_ema100_diff: 0.0122552
  69. 1H_price: 108722
  70. ¸

Long Trade on PYTH

The 02 Jul 2025 at 20:35:42

With 18990 PYTH at 0.103$ per unit.

Position size of 1956 $

Take profit at 0.1036 (0.58 %) and Stop Loss at 0.1026 (0.39 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40 %

Symbol Start at Seach Score Trade Score Trades Count
FET 2025-05-01 05:30:34 0.9381 30 1
ETH 2025-05-11 03:13:38 0.9307 -100 2
1MBABYDOGE 2025-05-13 19:07:38 0.9313 40 1
RENDER 2025-06-07 11:23:39 0.9262 -100 2
NEIROETH 2025-05-08 14:49:55 0.9244 30 1
WCT 2025-06-24 05:08:15 0.9239 40 2
BNB 2025-06-24 03:53:27 0.9219 -100 2
FLM 2025-04-27 12:01:02 0.92 -100 1
LAYER 2025-04-16 18:42:32 0.9191 -100 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
20:35:42
02 Jul 2025
20:40:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.103 0.1026 0.1036 1.5 0.0963
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 0.103
  • Stop Loss: 0.1026
  • Take Profit: 0.1036

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1026 - 0.103 = -0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.103 - 0.1036 = -0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0006 / -0.0004 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1956 100 18990 19.56
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 -0.0004

Taille de position = 8 / -0.0004 = -20000

Taille de position USD = -20000 x 0.103 = -2060

Donc, tu peux acheter -20000 avec un stoploss a 0.1026

Avec un position size USD de -2060$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -20000 x -0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -20000 x -0.0006 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -20000
  • Taille de position USD -2060
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.58 % 11 $
SL % Target SL $ Target
0.39 % 7.6 $
PNL PNL %
11 $ 0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1038
            [stop_loss] => 0.1026
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 20:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.104
            [stop_loss] => 0.1026
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1042
            [stop_loss] => 0.1026
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1044
            [stop_loss] => 0.1026
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 21:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1046
            [stop_loss] => 0.1026
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 01:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1048
            [stop_loss] => 0.1026
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 01:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.105
            [stop_loss] => 0.1026
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 01:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1052
            [stop_loss] => 0.1026
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 01:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1054
            [stop_loss] => 0.1026
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 01:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1056
            [stop_loss] => 0.1026
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 01:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1058
            [stop_loss] => 0.1026
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 01:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)