Trade

sell - PYTH

Status
win
2025-06-26 10:49:18
35 minutes
PNL
1.04
Entry: 0.0917
Last: 0.09075000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
1 0.53
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0004215429647
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.0919991
  4. ema21 - 0.0927844
  5. ema50 - 0.0932825
  6. ema100 - 0.092305
  7. price_ema9_diff - -0.00325187
  8. ema9_ema21_diff - -0.0084631
  9. ema21_ema50_diff - -0.00534
  10. price_ema100_diff - -0.00655532
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.448523
  14. kc_percentage - 0.340487
  15. kc_width_percentage - 0.0707705
  16. volume_ema_diff - 1.32259
  17. volume_ema1 - 343811.81960298
  18. volume_ema2 - 148029.20597208
  19. ¸
  20. 15m
  21. ema9 - 0.0909684
  22. ema21 - 0.0914783
  23. ema50 - 0.0922815
  24. ema100 - 0.0929374
  25. price_ema9_diff - 0.00804142
  26. ema9_ema21_diff - -0.00557413
  27. ema21_ema50_diff - -0.00870368
  28. price_ema100_diff - -0.0133152
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.499224
  32. kc_percentage - 0.591513
  33. kc_width_percentage - 0.031463
  34. volume_ema_diff - 0.395894
  35. volume_ema1 - 92379.456084279
  36. volume_ema2 - 66179.384688295
  37. ¸
  38. 5m
  39. ema9 - 0.0907825
  40. ema21 - 0.0906514
  41. ema50 - 0.0911853
  42. ema100 - 0.0918704
  43. price_ema9_diff - 0.0101063
  44. ema9_ema21_diff - 0.00144529
  45. ema21_ema50_diff - -0.00585452
  46. price_ema100_diff - -0.00185527
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.638369
  50. kc_percentage - 1.08881
  51. kc_width_percentage - 0.0196184
  52. volume_ema_diff - 0.245056
  53. volume_ema1 - 38254.557007645
  54. volume_ema2 - 30725.153545136
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107337
  59. 5m_price_ema100_diff: 0.00263901
  60. 5m_price: 107620
  61. 5m_correlation_with_coin: 0.671309
  62. btc_indicators
  63. 15m_ema100: 107486
  64. 15m_price_ema100_diff: 0.0012521
  65. 15m_price: 107620
  66. btc_indicators
  67. 1H_ema100: 105480
  68. 1H_price_ema100_diff: 0.0202951
  69. 1H_price: 107620
  70. ¸

Short Trade on PYTH

The 26 Jun 2025 at 10:49:18

With 12650 PYTH at 0.0917$ per unit.

Position size of 1160 $

Take profit at 0.09075 (1 %) and Stop Loss at 0.09233 (0.69 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 4.62 %

Symbol Start at Seach Score Trade Score Trades Count
ZK 2025-06-26 10:51:04 0.8829 40 1
OP 2025-06-26 10:47:44 0.8765 40 1
BRETT 2025-06-26 10:50:35 0.8585 40 1
DOT 2025-06-26 10:46:45 0.8369 50 1
FET 2025-06-26 10:32:45 0.8317 -100 1
BB 2025-06-20 16:12:32 0.8232 -30 2
TAIKO 2025-06-26 10:50:09 0.8253 30 1
ELDE 2025-05-31 19:47:15 0.8215 -100 1
BNB 2025-06-20 16:22:06 0.82 50 1
ATOM 2025-04-11 09:40:56 0.8175 70 1
HBAR 2025-03-27 10:44:59 0.8166 -100 1
LINK 2025-06-14 06:35:08 0.7998 30 1
NEIROCTO 2025-06-06 16:16:17 0.7993 40 1

📌 Time Data

Start at Closed at Duration
26 Jun 2025
10:49:18
26 Jun 2025
11:25:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0917 0.09233 0.09075 1.5 0.1058
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 0.0917
  • Stop Loss: 0.09233
  • Take Profit: 0.09075

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09233 - 0.0917 = 0.00062999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0917 - 0.09075 = 0.00095000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00095000000000001 / 0.00062999999999999 = 1.5079

📌 Position Size

Amount Margin Quantity Leverage
1160 100 12650 11.60
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 0.00062999999999999

Taille de position = 8 / 0.00062999999999999 = 12698.41

Taille de position USD = 12698.41 x 0.0917 = 1164.44

Donc, tu peux acheter 12698.41 avec un stoploss a 0.09233

Avec un position size USD de 1164.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 12698.41 x 0.00062999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 12698.41 x 0.00095000000000001 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

  • Taille de position 12698.41
  • Taille de position USD 1164.44
  • Perte potentielle 8
  • Gain potentiel 12.06
  • Risk-Reward Ratio 1.5079

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.69 % 8 $
PNL PNL %
12 $ 1.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09044
            [stop_loss] => 0.09233
            [rr_ratio] => 2
            [closed_at] => 2025-06-26 11:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.090125
            [stop_loss] => 0.09233
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-26 12:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.08981
            [stop_loss] => 0.09233
            [rr_ratio] => 3
            [closed_at] => 2025-06-26 12:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.089495
            [stop_loss] => 0.09233
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.08918
            [stop_loss] => 0.09233
            [rr_ratio] => 4
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.088865
            [stop_loss] => 0.09233
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.08855
            [stop_loss] => 0.09233
            [rr_ratio] => 5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.088235
            [stop_loss] => 0.09233
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.08792
            [stop_loss] => 0.09233
            [rr_ratio] => 6
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.087605
            [stop_loss] => 0.09233
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.08729
            [stop_loss] => 0.09233
            [rr_ratio] => 7
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)