Trade

buy - PYTH

Status
win
2025-08-22 21:45:17
4 minutes
PNL
0.64
Entry: 0.1257
Last: 0.12650000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 60
ML Pullback Score:

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.79
  4. atr: 0.000334543177
Details
  1. score: 2.79
  2. 1H
  3. ema9 - 0.126928
  4. ema21 - 0.124039
  5. ema50 - 0.12116
  6. ema100 - 0.119841
  7. price_ema9_diff - -0.00967667
  8. ema9_ema21_diff - 0.0232879
  9. ema21_ema50_diff - 0.0237621
  10. price_ema100_diff - 0.0488849
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.584262
  14. adx - 0.32186
  15. kc_percentage - 0.692343
  16. kc_width_percentage - 0.0608768
  17. volume_ema_diff - -0.405946
  18. volume_ema1 - 97002.774254683
  19. volume_ema2 - 163289.6428576
  20. ¸
  21. 15m
  22. ema9 - 0.127291
  23. ema21 - 0.127888
  24. ema50 - 0.126163
  25. ema100 - 0.123246
  26. price_ema9_diff - -0.0125047
  27. ema9_ema21_diff - -0.00466261
  28. ema21_ema50_diff - 0.0136703
  29. price_ema100_diff - 0.0199065
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.345244
  33. adx - 0.327797
  34. kc_percentage - -0.258562
  35. kc_width_percentage - 0.0230138
  36. volume_ema_diff - -0.606769
  37. volume_ema1 - 16859.409857879
  38. volume_ema2 - 42874.114207198
  39. ¸
  40. 5m
  41. ema9 - 0.12656
  42. ema21 - 0.127436
  43. ema50 - 0.128232
  44. ema100 - 0.1285
  45. price_ema9_diff - -0.00680219
  46. ema9_ema21_diff - -0.00686906
  47. ema21_ema50_diff - -0.00620817
  48. price_ema100_diff - -0.0217924
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.206027
  52. adx - 0.368349
  53. kc_percentage - -0.78567
  54. kc_width_percentage - 0.0104238
  55. volume_ema_diff - -0.361908
  56. volume_ema1 - 4615.0732292671
  57. volume_ema2 - 7232.6245400481
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116732
  62. 5m_price_ema100_diff: -0.00404837
  63. 5m_price: 116260
  64. 5m_correlation_with_coin: 0.330318
  65. btc_indicators
  66. 15m_ema100: 115104
  67. 15m_price_ema100_diff: 0.0100403
  68. 15m_price: 116260
  69. btc_indicators
  70. 1H_ema100: 114442
  71. 1H_price_ema100_diff: 0.0158854
  72. 1H_price: 116260
  73. ¸

Long Trade on PYTH

The 22 Aug 2025 at 21:45:17

With 15942.1375 PYTH at 0.1257$ per unit.

Position size of 2003.9267 $

Take profit at 0.1265 (0.64 %) and Stop Loss at 0.1252 (0.4 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -32.86 %

Symbol Start at Seach Score Trade Score Trades Count
AR 2025-08-22 21:49:25 0.9981 40 1
ICP 2025-08-22 21:47:03 0.9978 30 1
NEAR 2025-08-22 21:49:15 0.9974 -100 1
SAND 2025-08-22 21:48:50 0.9971 -100 1
UNI 2025-08-22 21:46:53 0.9968 30 1
LTC 2025-08-22 21:46:03 0.9962 30 1
ALICE 2025-08-22 21:49:45 0.9957 30 1
IOTA 2025-08-22 21:50:07 0.9954 40 1
WLD 2025-08-22 21:44:33 0.9954 40 1
MANA 2025-08-22 21:48:32 0.9953 -100 1
ROSE 2025-08-22 21:50:53 0.9952 -100 1
AXS 2025-08-22 21:48:01 0.9951 -100 1
COMP 2025-08-22 21:51:43 0.9951 -100 1
THETA 2025-08-22 21:48:11 0.995 -100 1

📌 Time Data

Start at Closed at Duration
22 Aug 2025
21:45:17
22 Aug 2025
21:50:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1257 0.1252 0.1265 1.6 0.1275
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 0.1257
  • Stop Loss: 0.1252
  • Take Profit: 0.1265

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1252 - 0.1257 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1257 - 0.1265 = -0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0008 / -0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
2003.9267 100 15942.1375 20.04
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.1257 = -2011.2

Donc, tu peux acheter -16000 avec un stoploss a 0.1252

Avec un position size USD de -2011.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.0008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -16000
  • Taille de position USD -2011.2
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.64 % 12.75 $
SL % Target SL $ Target
0.4 % 7.97 $
PNL PNL %
12.75 $ 0.64
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

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    [2] => Array
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            [take_profit] => 0.1267
            [stop_loss] => 0.1252
            [rr_ratio] => 2
            [closed_at] => 2025-08-22 21:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.12695
            [stop_loss] => 0.1252
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-22 22:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1272
            [stop_loss] => 0.1252
            [rr_ratio] => 3
            [closed_at] => 2025-08-22 22:00:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 0.12745
            [stop_loss] => 0.1252
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1277
            [stop_loss] => 0.1252
            [rr_ratio] => 4
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.12795
            [stop_loss] => 0.1252
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1282
            [stop_loss] => 0.1252
            [rr_ratio] => 5
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.12845
            [stop_loss] => 0.1252
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1287
            [stop_loss] => 0.1252
            [rr_ratio] => 6
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.12895
            [stop_loss] => 0.1252
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1292
            [stop_loss] => 0.1252
            [rr_ratio] => 7
            [closed_at] => 2025-08-22 22:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)