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Trade

sell - PYTH

Status
win
2025-07-01 10:13:12
1 minute
PNL
0.88
Entry: 0.1024
Last: 0.10150000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.5417
Prediction 1 Accuracy
Weak Trade
0.54
Prediction 2 Accuracy
0 0.49
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.34
  4. atr: 0.0004177555384
Details
  1. score: 1.34
  2. 1H
  3. ema9 - 0.101601
  4. ema21 - 0.102445
  5. ema50 - 0.10246
  6. ema100 - 0.100664
  7. price_ema9_diff - 0.00785579
  8. ema9_ema21_diff - -0.00823506
  9. ema21_ema50_diff - -0.000144875
  10. price_ema100_diff - 0.0172386
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.487606
  14. kc_percentage - 0.501424
  15. kc_width_percentage - 0.0604117
  16. volume_ema_diff - -0.628716
  17. volume_ema1 - 83776.192809959
  18. volume_ema2 - 225639.63513754
    19. ¸
  19. 15m
  20. ema9 - 0.100853
  21. ema21 - 0.100907
  22. ema50 - 0.1017
  23. ema100 - 0.10277
  24. price_ema9_diff - 0.0153327
  25. ema9_ema21_diff - -0.000532316
  26. ema21_ema50_diff - -0.00779599
  27. price_ema100_diff - -0.00360244
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.625439
  31. kc_percentage - 0.985492
  32. kc_width_percentage - 0.0304457
  33. volume_ema_diff - 0.0175917
  34. volume_ema1 - 42797.721909284
  35. volume_ema2 - 42057.848742021
    36. ¸
  36. 5m
  37. ema9 - 0.101421
  38. ema21 - 0.100907
  39. ema50 - 0.100827
  40. ema100 - 0.101001
  41. price_ema9_diff - 0.00964757
  42. ema9_ema21_diff - 0.00509174
  43. ema21_ema50_diff - 0.000797532
  44. price_ema100_diff - 0.0138448
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.700816
  48. kc_percentage - 1.34441
  49. kc_width_percentage - 0.0170293
  50. volume_ema_diff - 1.15549
  51. volume_ema1 - 18452.454456053
  52. volume_ema2 - 8560.641585903
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 106627
  56. 5m_price_ema100_diff: 0.00313087
  57. 5m_price: 106961
  58. 5m_correlation_with_coin: 0.640503
  59. btc_indicators
  60. 15m_ema100: 106993
  61. 15m_price_ema100_diff: -0.000304757
  62. 15m_price: 106961
  63. btc_indicators
  64. 1H_ema100: 107253
  65. 1H_price_ema100_diff: -0.00272809
  66. 1H_price: 106961
    67. ¸

Short Trade on PYTH

The 01 Jul 2025 at 10:13:12

With 12770 PYTH at 0.1024$ per unit.

Position size of 1307 $

Take profit at 0.1015 (0.88 %) and Stop Loss at 0.103 (0.59 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -6.25 %

Symbol Start at Seach Score Trade Score Trades Count
PAXG 2025-04-28 07:02:00 0.9575 -100 2
ETHFI 2025-07-01 10:13:52 0.9488 40 1
BRETT 2025-07-01 10:15:33 0.9483 50 1
AVAAI 2025-05-25 06:17:59 0.9436 -100 2
HIPPO 2025-05-30 22:16:58 0.942 -100 3
S 2025-07-01 10:18:13 0.9423 50 1
ONDO 2025-07-01 10:14:10 0.9414 60 1
TAO 2025-06-12 03:01:21 0.9404 50 1

📌 Time Data

Start at Closed at Duration
01 Jul 2025
10:13:12		 01 Jul 2025
10:15:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1024 0.103 0.1015 1.5 0.0961
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 0.1024
  • Stop Loss: 0.103
  • Take Profit: 0.1015

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.103 - 0.1024 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1024 - 0.1015 = 0.0009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0009 / 0.00059999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1307 100 12770 13.07
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.1024 = 1365.33

Donc, tu peux acheter 13333.33 avec un stoploss a 0.103

Avec un position size USD de 1365.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 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 0.0009 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 1365.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.88 % 11 $
SL % Target SL $ Target
0.59 % 7.7 $
PNL PNL %
11 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.293 % 50.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1012
            [stop_loss] => 0.103
            [rr_ratio] => 2
            [closed_at] => 2025-07-01 10:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1009
            [stop_loss] => 0.103
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-01 10:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1006
            [stop_loss] => 0.103
            [rr_ratio] => 3
            [closed_at] => 2025-07-01 10:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1003
            [stop_loss] => 0.103
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-01 10:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1
            [stop_loss] => 0.103
            [rr_ratio] => 4
            [closed_at] => 2025-07-01 10:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0997
            [stop_loss] => 0.103
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-01 11:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.0994
            [stop_loss] => 0.103
            [rr_ratio] => 5
            [closed_at] => 2025-07-01 11:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0991
            [stop_loss] => 0.103
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-01 13:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.0988
            [stop_loss] => 0.103
            [rr_ratio] => 6
            [closed_at] => 2025-07-01 13:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.0985
            [stop_loss] => 0.103
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-01 13:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.0982
            [stop_loss] => 0.103
            [rr_ratio] => 7
            [closed_at] => 2025-07-01 13:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)