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Trade

sell - PYTH

Status
loss
2025-06-26 15:46:45
18 minutes
PNL
-0.50
Entry: 0.0917
Last: 0.09216000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0.4687
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
0 0.45
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.22

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.0003041650445
Details
  1. score: 1.18
  2. 1H
  3. ema9 - 0.0911732
  4. ema21 - 0.0919919
  5. ema50 - 0.0927508
  6. ema100 - 0.0917084
  7. price_ema9_diff - 0.0057773
  8. ema9_ema21_diff - -0.00889968
  9. ema21_ema50_diff - -0.00818193
  10. price_ema100_diff - -9.23084E-5
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.472293
  14. kc_percentage - 0.461128
  15. kc_width_percentage - 0.0652778
  16. volume_ema_diff - -0.430607
  17. volume_ema1 - 73131.3366226
  18. volume_ema2 - 128437.54369264
    19. ¸
  19. 15m
  20. ema9 - 0.0909851
  21. ema21 - 0.0908913
  22. ema50 - 0.0914079
  23. ema100 - 0.0920225
  24. price_ema9_diff - 0.00785727
  25. ema9_ema21_diff - 0.00103117
  26. ema21_ema50_diff - -0.00565158
  27. price_ema100_diff - -0.00350501
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.576524
  31. kc_percentage - 0.845964
  32. kc_width_percentage - 0.0257834
  33. volume_ema_diff - -0.882336
  34. volume_ema1 - 4153.1089401961
  35. volume_ema2 - 35296.414131877
    36. ¸
  36. 5m
  37. ema9 - 0.0912637
  38. ema21 - 0.0908884
  39. ema50 - 0.0907524
  40. ema100 - 0.090963
  41. price_ema9_diff - 0.00477976
  42. ema9_ema21_diff - 0.00412972
  43. ema21_ema50_diff - 0.00149886
  44. price_ema100_diff - 0.00810199
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.661968
  48. kc_percentage - 1.1765
  49. kc_width_percentage - 0.012805
  50. volume_ema_diff - -0.764454
  51. volume_ema1 - 1209.1965962819
  52. volume_ema2 - 5133.6074615118
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 107242
  56. 5m_price_ema100_diff: 0.00279821
  57. 5m_price: 107542
  58. 5m_correlation_with_coin: 0.752392
  59. btc_indicators
  60. 15m_ema100: 107403
  61. 15m_price_ema100_diff: 0.00129384
  62. 15m_price: 107542
  63. btc_indicators
  64. 1H_ema100: 105255
  65. 1H_price_ema100_diff: 0.0217277
  66. 1H_price: 107542
    67. ¸

Short Trade on PYTH

The 26 Jun 2025 at 15:46:45

With 17534.3401 PYTH at 0.0917$ per unit.

Position size of 1607.899 $

Take profit at 0.09102 (0.74 %) and Stop Loss at 0.09216 (0.5 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: -87 %

Symbol Start at Seach Score Trade Score Trades Count
ETHFI 2025-06-26 15:51:21 0.9624 -100 2
TAIKO 2025-06-26 15:52:37 0.9536 -100 2
JUP 2025-06-26 15:47:23 0.961 -100 1
AVAX 2025-06-26 15:42:40 0.958 -100 1
INJ 2025-06-26 15:45:32 0.9574 30 1
ENA 2025-06-26 15:48:27 0.9565 -100 1
ONDO 2025-06-26 15:48:04 0.9551 -100 1
1000BONK 2025-06-26 15:50:17 0.9472 -100 2
ORDI 2025-06-26 15:45:59 0.9457 -100 1
DOT 2025-06-26 15:39:56 0.9453 -100 1

📌 Time Data

Start at Closed at Duration
26 Jun 2025
15:46:45		 26 Jun 2025
16:05:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0917 0.09216 0.09102 1.48 0.1212
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: 0.09216
  • Take Profit: 0.09102

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09216 - 0.0917 = 0.00046

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0917 - 0.09102 = 0.00068

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00068 / 0.00046 = 1.4783

📌 Position Size

Amount Margin Quantity Leverage
1607.899 100 17534.3401 16.08
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 0.00046

Taille de position = 8 / 0.00046 = 17391.3

Taille de position USD = 17391.3 x 0.0917 = 1594.78

Donc, tu peux acheter 17391.3 avec un stoploss a 0.09216

Avec un position size USD de 1594.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 17391.3 x 0.00046 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 17391.3 x 0.00068 = 11.83

Si Take Profit atteint, tu gagneras 11.83$

Résumé

  • Taille de position 17391.3
  • Taille de position USD 1594.78
  • Perte potentielle 8
  • Gain potentiel 11.83
  • Risk-Reward Ratio 1.4783

📌 Peformances

TP % Target TP $ Target
0.74 % 11.92 $
SL % Target SL $ Target
0.5 % 8.07 $
PNL PNL %
-8.07 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-2.072 % 413.08 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09102
            [entry_price] => 0.0917
            [stop_loss] => 0.092206
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09102
            [entry_price] => 0.0917
            [stop_loss] => 0.092252
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09102
            [entry_price] => 0.0917
            [stop_loss] => 0.092298
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09102
            [entry_price] => 0.0917
            [stop_loss] => 0.09239
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-26 16:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0041
            [rr_ratio] => 0.15
            [high] => 0.09580000
            [low] => 0.09110000
            [mfe_pct] => 0.65
            [mae_pct] => 4.47
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 24
            [start_at] => 2025-06-26T15:46:45-04:00
            [end_at] => 2025-06-26T17:46:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0044
            [rr_ratio] => 0.16
            [high] => 0.09610000
            [low] => 0.09100000
            [mfe_pct] => 0.76
            [mae_pct] => 4.8
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 72
            [start_at] => 2025-06-26T15:46:45-04:00
            [end_at] => 2025-06-26T21:46:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09170000
            [high_after] => 0.09610000
            [low_before] => 0.08970000
            [low_after] => 0.09100000
            [is_new_high] => 
            [is_new_low] => 
        )

)