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Trade

buy - PYTH

Status
win
2025-07-02 19:39:33
30 minutes
PNL
0.58
Entry: 0.1036
Last: 0.10420000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.2
  4. atr: 0.0002769576785
Details
  1. score: 2.2
  2. 1H
  3. ema9 - 0.103838
  4. ema21 - 0.102809
  5. ema50 - 0.102066
  6. ema100 - 0.101559
  7. price_ema9_diff - -0.00229899
  8. ema9_ema21_diff - 0.0100115
  9. ema21_ema50_diff - 0.00728077
  10. price_ema100_diff - 0.0200879
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.55522
  14. kc_percentage - 0.621486
  15. kc_width_percentage - 0.0575951
  16. volume_ema_diff - -0.113374
  17. volume_ema1 - 179613.69781294
  18. volume_ema2 - 202581.23618328
    19. ¸
  19. 15m
  20. ema9 - 0.104217
  21. ema21 - 0.104172
  22. ema50 - 0.10348
  23. ema100 - 0.102197
  24. price_ema9_diff - -0.00592405
  25. ema9_ema21_diff - 0.000434489
  26. ema21_ema50_diff - 0.0066884
  27. price_ema100_diff - 0.0137199
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.459834
  31. kc_percentage - 0.264386
  32. kc_width_percentage - 0.0239401
  33. volume_ema_diff - -0.434338
  34. volume_ema1 - 28610.708601144
  35. volume_ema2 - 50579.163684885
    36. ¸
  36. 5m
  37. ema9 - 0.104071
  38. ema21 - 0.104333
  39. ema50 - 0.104326
  40. ema100 - 0.104189
  41. price_ema9_diff - -0.00453501
  42. ema9_ema21_diff - -0.0025097
  43. ema21_ema50_diff - 7.2782E-5
  44. price_ema100_diff - -0.00566039
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.345183
  48. kc_percentage - -0.201006
  49. kc_width_percentage - 0.0100023
  50. volume_ema_diff - -0.196328
  51. volume_ema1 - 13506.073906506
  52. volume_ema2 - 16805.456803398
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109088
  56. 5m_price_ema100_diff: -0.00227882
  57. 5m_price: 108839
  58. 5m_correlation_with_coin: 0.664676
  59. btc_indicators
  60. 15m_ema100: 107908
  61. 15m_price_ema100_diff: 0.0092628
  62. 15m_price: 108907
  63. btc_indicators
  64. 1H_ema100: 107358
  65. 1H_price_ema100_diff: 0.0137997
  66. 1H_price: 108839
    67. ¸

Long Trade on PYTH

The 02 Jul 2025 at 19:39:33

With 19260 PYTH at 0.1036$ per unit.

Position size of 1995 $

Take profit at 0.1042 (0.58 %) and Stop Loss at 0.1032 (0.39 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46 %

Symbol Start at Seach Score Trade Score Trades Count
PEPE 2025-05-09 00:01:47 0.941 35 2
LTC 2025-05-22 07:06:56 0.9411 -100 1
SAND 2025-05-11 02:10:00 0.931 -100 2
GOAT 2025-05-12 07:19:41 0.9308 -100 2
FLM 2025-04-27 11:10:57 0.933 -100 1
BANANA 2025-05-09 10:37:28 0.9323 -100 1
1000000MOG 2025-06-10 02:17:19 0.931 30 1
RENDER 2025-06-07 10:25:27 0.9304 -100 1
SEI 2025-05-09 00:05:04 0.9286 30 1
ZK 2025-07-02 22:49:29 0.9281 45 2

📌 Time Data

Start at Closed at Duration
02 Jul 2025
19:39:33		 02 Jul 2025
20:10:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1036 0.1032 0.1042 1.5 0.0961
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 0.1036
  • Stop Loss: 0.1032
  • Take Profit: 0.1042

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1032 - 0.1036 = -0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1036 - 0.1042 = -0.0006

  • Risk-Reward Ratio:

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

📌 Position Size

Amount Margin Quantity Leverage
1995 100 19260 19.95
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 0.1036 = -2072

Donc, tu peux acheter -20000 avec un stoploss a 0.1032

Avec un position size USD de -2072$

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 -2072
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.58 % 12 $
SL % Target SL $ Target
0.39 % 7.7 $
PNL PNL %
12 $ 0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1931 % 50.01 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1044
            [stop_loss] => 0.1032
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1046
            [stop_loss] => 0.1032
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1048
            [stop_loss] => 0.1032
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.105
            [stop_loss] => 0.1032
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1052
            [stop_loss] => 0.1032
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1054
            [stop_loss] => 0.1032
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1056
            [stop_loss] => 0.1032
            [rr_ratio] => 5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1058
            [stop_loss] => 0.1032
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.106
            [stop_loss] => 0.1032
            [rr_ratio] => 6
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1062
            [stop_loss] => 0.1032
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1064
            [stop_loss] => 0.1032
            [rr_ratio] => 7
            [closed_at] => 2025-07-02 20:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)