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Trade

buy - PYTH

Status
win
2025-08-22 22:51:30
33 minutes
PNL
0.80
Entry: 0.1246
Last: 0.12560000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.2231
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
1 0.71
Prediction 3 Probability
0 0.56
ML Trade Score: 140
ML Pullback Score:

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0004234469924
Details
  1. score: 2.15
  2. 1H
  3. ema9 - 0.126654
  4. ema21 - 0.124189
  5. ema50 - 0.121318
  6. ema100 - 0.119796
  7. price_ema9_diff - -0.016222
  8. ema9_ema21_diff - 0.0198482
  9. ema21_ema50_diff - 0.0236644
  10. price_ema100_diff - 0.0400956
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.542641
  14. adx - 0.299199
  15. kc_percentage - 0.527725
  16. kc_width_percentage - 0.0674719
  17. volume_ema_diff - -0.308586
  18. volume_ema1 - 112335.63185868
  19. volume_ema2 - 162472.38832914
    20. ¸
  20. 15m
  21. ema9 - 0.12588
  22. ema21 - 0.126987
  23. ema50 - 0.12604
  24. ema100 - 0.12363
  25. price_ema9_diff - -0.010175
  26. ema9_ema21_diff - -0.00871504
  27. ema21_ema50_diff - 0.00751508
  28. price_ema100_diff - 0.00784227
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.360434
  32. adx - 0.349312
  33. kc_percentage - -0.119162
  34. kc_width_percentage - 0.0305011
  35. volume_ema_diff - -0.32509
  36. volume_ema1 - 27819.449257523
  37. volume_ema2 - 41219.523162198
    38. ¸
  38. 5m
  39. ema9 - 0.12486
  40. ema21 - 0.125788
  41. ema50 - 0.127058
  42. ema100 - 0.127863
  43. price_ema9_diff - -0.00208699
  44. ema9_ema21_diff - -0.00737829
  45. ema21_ema50_diff - -0.00999615
  46. price_ema100_diff - -0.0255203
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.326863
  50. adx - 0.377718
  51. kc_percentage - -0.148431
  52. kc_width_percentage - 0.0138928
  53. volume_ema_diff - 0.139064
  54. volume_ema1 - 10371.580936409
  55. volume_ema2 - 9105.3467224251
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 116599
  59. 5m_price_ema100_diff: -0.00580217
  60. 5m_price: 115923
  61. 5m_correlation_with_coin: 0.47553
  62. btc_indicators
  63. 15m_ema100: 115274
  64. 15m_price_ema100_diff: 0.0056248
  65. 15m_price: 115923
  66. btc_indicators
  67. 1H_ema100: 114452
  68. 1H_price_ema100_diff: 0.0128521
  69. 1H_price: 115923
    70. ¸

Long Trade on PYTH

The 22 Aug 2025 at 22:51:30

With 12595.0436 PYTH at 0.1246$ per unit.

Position size of 1569.3424 $

Take profit at 0.1256 (0.8 %) and Stop Loss at 0.124 (0.48 %)

That's a 1.67 RR Trade

📌 Similar Trades

Similar Trade Score: 43.08 %

Symbol Start at Seach Score Trade Score Trades Count
WLD 2025-08-22 22:45:54 0.994 30 2
RUNE 2025-08-22 22:47:47 0.9942 60 1
AR 2025-08-22 22:47:13 0.9942 40 1
ICP 2025-08-22 22:45:24 0.994 30 1
SAND 2025-08-22 22:46:44 0.9939 30 1
ARKM 2025-08-22 22:50:49 0.9939 60 1
UNI 2025-08-22 22:45:17 0.9938 40 1
STX 2025-08-22 22:48:55 0.9935 30 1
NEAR 2025-08-22 22:47:06 0.9934 60 1
DOGE 2025-08-22 22:45:07 0.9927 50 1
ALICE 2025-08-22 22:47:30 0.9913 40 1
AVAX 2025-08-22 22:46:17 0.9911 50 1
RPL 2025-08-22 22:53:19 0.9904 40 1

📌 Time Data

Start at Closed at Duration
22 Aug 2025
22:51:30		 22 Aug 2025
23:25:00		 33 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1246 0.124 0.1256 1.67 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 0.1246
  • Stop Loss: 0.124
  • Take Profit: 0.1256

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.124 - 0.1246 = -0.0006

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1246 - 0.1256 = -0.00099999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00099999999999999 / -0.0006 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1569.3424 100 12595.0436 15.69
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 -0.0006

Taille de position = 8 / -0.0006 = -13333.33

Taille de position USD = -13333.33 x 0.1246 = -1661.33

Donc, tu peux acheter -13333.33 avec un stoploss a 0.124

Avec un position size USD de -1661.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.0006 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.00099999999999999 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -1661.33
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.8 % 12.6 $
SL % Target SL $ Target
0.48 % 7.56 $
PNL PNL %
12.6 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1258
            [stop_loss] => 0.124
            [rr_ratio] => 2
            [closed_at] => 2025-08-23 00:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1261
            [stop_loss] => 0.124
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-23 00:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1264
            [stop_loss] => 0.124
            [rr_ratio] => 3
            [closed_at] => 2025-08-23 00:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1267
            [stop_loss] => 0.124
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-23 00:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.127
            [stop_loss] => 0.124
            [rr_ratio] => 4
            [closed_at] => 2025-08-23 00:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1273
            [stop_loss] => 0.124
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-23 00:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1276
            [stop_loss] => 0.124
            [rr_ratio] => 5
            [closed_at] => 2025-08-23 01:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1279
            [stop_loss] => 0.124
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-23 01:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1282
            [stop_loss] => 0.124
            [rr_ratio] => 6
            [closed_at] => 2025-08-23 01:15:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1285
            [stop_loss] => 0.124
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-23 01:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1288
            [stop_loss] => 0.124
            [rr_ratio] => 7
            [closed_at] => 2025-08-23 01:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
)