Trade

buy - PYTH

Status
win
2025-07-18 07:28:32
36 minutes
PNL
1.26
Entry: 0.1352
Last: 0.13690000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.5343
Prediction 1 Accuracy
Strong Trade
0.56
Prediction 2 Accuracy
0 0.42
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0007339163276
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 0.136746
  4. ema21 - 0.134082
  5. ema50 - 0.129977
  6. ema100 - 0.12687
  7. price_ema9_diff - -0.0113078
  8. ema9_ema21_diff - 0.0198679
  9. ema21_ema50_diff - 0.0315773
  10. price_ema100_diff - 0.0656526
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.557052
  14. kc_percentage - 0.57388
  15. kc_width_percentage - 0.0915768
  16. volume_ema_diff - -0.182051
  17. volume_ema1 - 198600.72364479
  18. volume_ema2 - 242803.50270842
  19. ¸
  20. 15m
  21. ema9 - 0.136974
  22. ema21 - 0.13739
  23. ema50 - 0.135808
  24. ema100 - 0.13331
  25. price_ema9_diff - -0.0129578
  26. ema9_ema21_diff - -0.00302704
  27. ema21_ema50_diff - 0.0116513
  28. price_ema100_diff - 0.0141713
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.439989
  32. kc_percentage - 0.131041
  33. kc_width_percentage - 0.0441344
  34. volume_ema_diff - -0.502107
  35. volume_ema1 - 34153.281311667
  36. volume_ema2 - 68595.65912683
  37. ¸
  38. 5m
  39. ema9 - 0.136232
  40. ema21 - 0.136749
  41. ema50 - 0.137413
  42. ema100 - 0.137408
  43. price_ema9_diff - -0.00758161
  44. ema9_ema21_diff - -0.00377913
  45. ema21_ema50_diff - -0.00483351
  46. price_ema100_diff - -0.016071
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.361146
  50. kc_percentage - -0.0176769
  51. kc_width_percentage - 0.0216564
  52. volume_ema_diff - 0.38533
  53. volume_ema1 - 26351.258585486
  54. volume_ema2 - 19021.640909077
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 119417
  59. 5m_price_ema100_diff: -0.00468345
  60. 5m_price: 118858
  61. 5m_correlation_with_coin: 0.551882
  62. btc_indicators
  63. 15m_ema100: 119314
  64. 15m_price_ema100_diff: -0.00301091
  65. 15m_price: 118954
  66. btc_indicators
  67. 1H_ema100: 119384
  68. 1H_price_ema100_diff: -0.00440423
  69. 1H_price: 118858
  70. ¸

Long Trade on PYTH

The 18 Jul 2025 at 07:28:32

With 7267 PYTH at 0.1352$ per unit.

Position size of 982.5 $

Take profit at 0.1369 (1.3 %) and Stop Loss at 0.1341 (0.81 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -26.25 %

Symbol Start at Seach Score Trade Score Trades Count
STRK 2025-07-18 07:29:03 0.9861 60 1
LINK 2025-05-13 22:06:45 0.97 -100 1
ETC 2025-05-13 22:06:36 0.9687 -100 1
ATH 2025-05-13 21:03:24 0.9662 -100 4
TRX 2025-07-07 04:11:15 0.9664 -100 2
MKR 2025-06-10 02:16:01 0.9661 40 3
APE 2025-06-04 09:55:03 0.9655 60 1
WIF 2025-05-12 09:43:08 0.9651 30 1

📌 Time Data

Start at Closed at Duration
18 Jul 2025
07:28:32
18 Jul 2025
08:05:00
36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1352 0.1341 0.1369 1.5 0.1452
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 0.1352
  • Stop Loss: 0.1341
  • Take Profit: 0.1369

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1341 - 0.1352 = -0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1352 - 0.1369 = -0.0017

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0017 / -0.0011 = 1.5455

📌 Position Size

Amount Margin Quantity Leverage
982.5 100 7267 9.82
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 0.1352 = -983.27

Donc, tu peux acheter -7272.73 avec un stoploss a 0.1341

Avec un position size USD de -983.27$

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 -0.0017 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

  • Taille de position -7272.73
  • Taille de position USD -983.27
  • Perte potentielle 8
  • Gain potentiel 12.36
  • Risk-Reward Ratio 1.5455

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.81 % 8 $
PNL PNL %
12 $ 1.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1374
            [stop_loss] => 0.1341
            [rr_ratio] => 2
            [closed_at] => 2025-07-18 08:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.13795
            [stop_loss] => 0.1341
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-18 08:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1385
            [stop_loss] => 0.1341
            [rr_ratio] => 3
            [closed_at] => 2025-07-18 08:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.13905
            [stop_loss] => 0.1341
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-18 09:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1396
            [stop_loss] => 0.1341
            [rr_ratio] => 4
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.14015
            [stop_loss] => 0.1341
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1407
            [stop_loss] => 0.1341
            [rr_ratio] => 5
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.14125
            [stop_loss] => 0.1341
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1418
            [stop_loss] => 0.1341
            [rr_ratio] => 6
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.14235
            [stop_loss] => 0.1341
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1429
            [stop_loss] => 0.1341
            [rr_ratio] => 7
            [closed_at] => 2025-07-18 10:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)