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Trade

buy - PYTH

Status
win
2025-05-23 00:37:41
1 hour
PNL
1.62
Entry: 0.1417
Last: 0.14400000

Results

Status:
win
Trade Type:
buy
Prediction Score: -2.7857
Prediction 1 Accuracy
Weak Trade
0.63
Prediction 2 Accuracy
0 0.52
ML Trade Score: 30
ML Pullback Score: 3.57

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.001034491793
Details
  1. score: 2.28
  2. 1H
  3. ema9 - 0.141848
  4. ema21 - 0.139041
  5. ema50 - 0.136401
  6. ema100 - 0.137282
  7. price_ema9_diff - -0.00104869
  8. ema9_ema21_diff - 0.0201882
  9. ema21_ema50_diff - 0.0193586
  10. price_ema100_diff - 0.032178
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.574297
  14. kc_percentage - 0.684626
  15. kc_width_percentage - 0.0948151
    16. ¸
  16. 15m
  17. ema9 - 0.144753
  18. ema21 - 0.143798
  19. ema50 - 0.141063
  20. ema100 - 0.138943
  21. price_ema9_diff - -0.0210944
  22. ema9_ema21_diff - 0.00664388
  23. ema21_ema50_diff - 0.0193881
  24. price_ema100_diff - 0.0198408
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.448187
  28. kc_percentage - 0.201619
  29. kc_width_percentage - 0.0524915
    30. ¸
  30. 5m
  31. ema9 - 0.143782
  32. ema21 - 0.14494
  33. ema50 - 0.144508
  34. ema100 - 0.142621
  35. price_ema9_diff - -0.0144859
  36. ema9_ema21_diff - -0.00798425
  37. ema21_ema50_diff - 0.00298593
  38. price_ema100_diff - -0.00645983
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.291043
  42. kc_percentage - -0.28052
  43. kc_width_percentage - 0.0288912
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111151
  47. 5m_price_ema100_diff: -0.00505121
  48. 5m_price: 110590
  49. 5m_correlation_with_coin: 0.40895
  50. btc_indicators
  51. 15m_ema100: 111107
  52. 15m_price_ema100_diff: -0.00465035
  53. 15m_price: 110590
  54. btc_indicators
  55. 1H_ema100: 108228
  56. 1H_price_ema100_diff: 0.0218195
  57. 1H_price: 110590
    58. ¸

Long Trade on PYTH

The 23 May 2025 at 00:37:41

With 5155.5105 PYTH at 0.1417$ per unit.

Position size of 730.5358 $

Take profit at 0.144 (1.62 %) and Stop Loss at 0.1401 (1.13 %)

That's a 1.44 RR Trade

📌 Similar Trades

Similar Trade Score: -35 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-04-09 17:41:23 0.9653 30 2
ARK 2025-04-08 00:26:58 0.9629 -100 2
IMX 2025-05-02 00:46:43 0.9602 -35 2
PEPE 2025-06-29 22:15:36 0.9593 -100 2
DOGE 2025-07-09 20:37:40 0.9592 30 1
CARV 2025-03-26 00:54:49 0.958 -100 1
SAHARA 2025-06-29 01:55:48 0.9565 30 1

📌 Time Data

Start at Closed at Duration
23 May 2025
00:37:41		 23 May 2025
01:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1417 0.1401 0.144 1.44 0.1225
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 0.1417
  • Stop Loss: 0.1401
  • Take Profit: 0.144

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1401 - 0.1417 = -0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1417 - 0.144 = -0.0023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0023 / -0.0016 = 1.4375

📌 Position Size

Amount Margin Quantity Leverage
730.5358 100 5155.5105 7.31
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 -0.0016

Taille de position = 8 / -0.0016 = -5000

Taille de position USD = -5000 x 0.1417 = -708.5

Donc, tu peux acheter -5000 avec un stoploss a 0.1401

Avec un position size USD de -708.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5000 x -0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5000 x -0.0023 = 11.5

Si Take Profit atteint, tu gagneras 11.5$

Résumé

  • Taille de position -5000
  • Taille de position USD -708.5
  • Perte potentielle 8
  • Gain potentiel 11.5
  • Risk-Reward Ratio 1.4375

📌 Peformances

TP % Target TP $ Target
1.62 % 11.86 $
SL % Target SL $ Target
1.13 % 8.25 $
PNL PNL %
11.86 $ 1.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.35285815102329 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1449
            [stop_loss] => 0.1401
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1457
            [stop_loss] => 0.1401
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1465
            [stop_loss] => 0.1401
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1473
            [stop_loss] => 0.1401
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1481
            [stop_loss] => 0.1401
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1489
            [stop_loss] => 0.1401
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1497
            [stop_loss] => 0.1401
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1505
            [stop_loss] => 0.1401
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1513
            [stop_loss] => 0.1401
            [rr_ratio] => 6
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1521
            [stop_loss] => 0.1401
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1529
            [stop_loss] => 0.1401
            [rr_ratio] => 7
            [closed_at] => 2025-05-23 02:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0029
            [max_drawdown] => 0.0012
            [rr_ratio] => 2.42
            [high] => 0.14460000
            [low] => 0.14050000
            [mfe_pct] => 2.05
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 2.42
            [candles_analyzed] => 24
            [start_at] => 2025-05-23T00:37:41-04:00
            [end_at] => 2025-05-23T02:37:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0049
            [max_drawdown] => 0.0018
            [rr_ratio] => 2.72
            [high] => 0.14660000
            [low] => 0.13990000
            [mfe_pct] => 3.46
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 2.72
            [candles_analyzed] => 72
            [start_at] => 2025-05-23T00:37:41-04:00
            [end_at] => 2025-05-23T06:37:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14900000
            [high_after] => 0.14660000
            [low_before] => 0.14130000
            [low_after] => 0.13990000
            [is_new_high] => 
            [is_new_low] => 
        )

)