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Trade

sell - PYTH

Status
win
2025-07-04 18:49:16
25 minutes
PNL
0.42
Entry: 0.0968
Last: 0.09639000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.8383
Prediction 1 Accuracy
Strong Trade
0.58
Prediction 2 Accuracy
1 0.37
ML Trade Score: 120

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.0001829377252
Details
  1. score: 1.31
  2. 1H
  3. ema9 - 0.0964201
  4. ema21 - 0.0981166
  5. ema50 - 0.100337
  6. ema100 - 0.101648
  7. price_ema9_diff - 0.00393987
  8. ema9_ema21_diff - -0.0172904
  9. ema21_ema50_diff - -0.0221295
  10. price_ema100_diff - -0.0477029
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.388708
  14. kc_percentage - 0.246979
  15. kc_width_percentage - 0.0484468
  16. volume_ema_diff - -0.575233
  17. volume_ema1 - 71043.412911422
  18. volume_ema2 - 167252.67170014
    19. ¸
  19. 15m
  20. ema9 - 0.0962503
  21. ema21 - 0.0960279
  22. ema50 - 0.0968962
  23. ema100 - 0.0986929
  24. price_ema9_diff - 0.00571056
  25. ema9_ema21_diff - 0.00231564
  26. ema21_ema50_diff - -0.00896036
  27. price_ema100_diff - -0.0191802
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.599738
  31. kc_percentage - 0.954657
  32. kc_width_percentage - 0.0176612
  33. volume_ema_diff - -0.633769
  34. volume_ema1 - 12144.745981902
  35. volume_ema2 - 33161.460299281
    36. ¸
  36. 5m
  37. ema9 - 0.096563
  38. ema21 - 0.0962212
  39. ema50 - 0.0959147
  40. ema100 - 0.0960609
  41. price_ema9_diff - 0.00245347
  42. ema9_ema21_diff - 0.00355234
  43. ema21_ema50_diff - 0.00319579
  44. price_ema100_diff - 0.00769326
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.743876
  48. kc_percentage - 1.30712
  49. kc_width_percentage - 0.00712788
  50. volume_ema_diff - 0.0205759
  51. volume_ema1 - 5451.9390773427
  52. volume_ema2 - 5342.0220487461
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107746
  56. 5m_price_ema100_diff: 0.00364224
  57. 5m_price: 108139
  58. 5m_correlation_with_coin: 0.552811
  59. btc_indicators
  60. 15m_ema100: 108417
  61. 15m_price_ema100_diff: -0.0025651
  62. 15m_price: 108139
  63. btc_indicators
  64. 1H_ema100: 108258
  65. 1H_price_ema100_diff: -0.00109555
  66. 1H_price: 108139
    67. ¸

Short Trade on PYTH

The 04 Jul 2025 at 18:49:16

With 29150 PYTH at 0.0968$ per unit.

Position size of 2822 $

Take profit at 0.09639 (0.42 %) and Stop Loss at 0.09707 (0.28 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -3.64 %

Symbol Start at Seach Score Trade Score Trades Count
GALA 2025-07-04 18:50:46 0.9835 40 2
FIL 2025-07-04 18:49:30 0.9838 30 2
SHIB 2025-07-04 18:45:39 0.9824 30 1
ATOM 2025-07-04 18:45:03 0.9817 30 1
ICP 2025-07-04 18:48:54 0.98 -100 2
S 2025-07-04 18:39:04 0.9784 -100 1
ENS 2025-07-04 18:47:05 0.9779 30 1
AVAX 2025-07-04 18:45:21 0.977 30 1
ORDI 2025-07-04 18:48:24 0.9765 40 1
VIRTUAL 2025-07-04 18:37:33 0.9752 -100 1
DOT 2025-07-04 18:42:22 0.975 30 1

📌 Time Data

Start at Closed at Duration
04 Jul 2025
18:49:16		 04 Jul 2025
19:15:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0968 0.09707 0.09639 1.5 0.0962
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 0.0968
  • Stop Loss: 0.09707
  • Take Profit: 0.09639

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09707 - 0.0968 = 0.00027000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0968 - 0.09639 = 0.00040999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00040999999999999 / 0.00027000000000001 = 1.5185

📌 Position Size

Amount Margin Quantity Leverage
2822 100 29150 28.22
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 0.00027000000000001

Taille de position = 8 / 0.00027000000000001 = 29629.63

Taille de position USD = 29629.63 x 0.0968 = 2868.15

Donc, tu peux acheter 29629.63 avec un stoploss a 0.09707

Avec un position size USD de 2868.15$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 29629.63 x 0.00027000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 29629.63 x 0.00040999999999999 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

  • Taille de position 29629.63
  • Taille de position USD 2868.15
  • Perte potentielle 8
  • Gain potentiel 12.15
  • Risk-Reward Ratio 1.5185

📌 Peformances

TP % Target TP $ Target
0.42 % 12 $
SL % Target SL $ Target
0.28 % 7.9 $
PNL PNL %
12 $ 0.42
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2066 % 74.08 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09626
            [stop_loss] => 0.09707
            [rr_ratio] => 2
            [closed_at] => 2025-07-04 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.096125
            [stop_loss] => 0.09707
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-04 20:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.09599
            [stop_loss] => 0.09707
            [rr_ratio] => 3
            [closed_at] => 2025-07-04 21:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.095855
            [stop_loss] => 0.09707
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-04 21:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.09572
            [stop_loss] => 0.09707
            [rr_ratio] => 4
            [closed_at] => 2025-07-04 21:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.095585
            [stop_loss] => 0.09707
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-04 21:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.09545
            [stop_loss] => 0.09707
            [rr_ratio] => 5
            [closed_at] => 2025-07-04 21:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.095315
            [stop_loss] => 0.09707
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-04 21:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.09518
            [stop_loss] => 0.09707
            [rr_ratio] => 6
            [closed_at] => 2025-07-04 22:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)