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Trade

buy - PYTH

Status
win
2025-07-11 07:24:35
10 minutes
PNL
0.85
Entry: 0.117
Last: 0.11800000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.6537
Prediction 1 Accuracy
Weak Trade
0.5
Prediction 2 Accuracy
2 0.51
ML Trade Score: 120

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0004454633005
Details
  1. score: 2.16
  2. 1H
  3. ema9 - 0.116996
  4. ema21 - 0.114362
  5. ema50 - 0.109684
  6. ema100 - 0.105687
  7. price_ema9_diff - 2.85748E-5
  8. ema9_ema21_diff - 0.0230323
  9. ema21_ema50_diff - 0.0426459
  10. price_ema100_diff - 0.107036
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.62384
  14. kc_percentage - 0.806105
  15. kc_width_percentage - 0.0677489
  16. volume_ema_diff - -0.211736
  17. volume_ema1 - 131517.79362747
  18. volume_ema2 - 166845.01663548
    19. ¸
  19. 15m
  20. ema9 - 0.117959
  21. ema21 - 0.117697
  22. ema50 - 0.116131
  23. ema100 - 0.113655
  24. price_ema9_diff - -0.0081373
  25. ema9_ema21_diff - 0.00222563
  26. ema21_ema50_diff - 0.0134873
  27. price_ema100_diff - 0.0294236
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.478855
  31. kc_percentage - 0.296768
  32. kc_width_percentage - 0.0308958
  33. volume_ema_diff - -0.71083
  34. volume_ema1 - 15183.639822369
  35. volume_ema2 - 52507.797317995
    36. ¸
  36. 5m
  37. ema9 - 0.117864
  38. ema21 - 0.118168
  39. ema50 - 0.118
  40. ema100 - 0.117547
  41. price_ema9_diff - -0.00733467
  42. ema9_ema21_diff - -0.00257064
  43. ema21_ema50_diff - 0.00142345
  44. price_ema100_diff - -0.00465645
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.364334
  48. kc_percentage - -0.156447
  49. kc_width_percentage - 0.0151515
  50. volume_ema_diff - 1.99004
  51. volume_ema1 - 39314.692302139
  52. volume_ema2 - 13148.517883099
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117679
  56. 5m_price_ema100_diff: -0.000623421
  57. 5m_price: 117606
  58. 5m_correlation_with_coin: 0.575039
  59. btc_indicators
  60. 15m_ema100: 115450
  61. 15m_price_ema100_diff: 0.0188867
  62. 15m_price: 117630
  63. btc_indicators
  64. 1H_ema100: 111757
  65. 1H_price_ema100_diff: 0.0523277
  66. 1H_price: 117606
    67. ¸

Long Trade on PYTH

The 11 Jul 2025 at 07:24:35

With 11970 PYTH at 0.117$ per unit.

Position size of 1401 $

Take profit at 0.118 (0.85 %) and Stop Loss at 0.1163 (0.6 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: 29.55 %

Symbol Start at Seach Score Trade Score Trades Count
CKB 2025-07-11 07:23:09 0.9904 30 1
1MBABYDOGE 2025-07-11 07:17:59 0.9884 30 1
ARB 2025-07-11 07:11:15 0.9804 -100 1
ETHFI 2025-07-11 07:20:16 0.9784 45 2
STRK 2025-07-11 07:14:50 0.9795 40 1
LPT 2025-07-11 07:18:38 0.974 30 2
XAI 2025-07-11 07:14:06 0.9746 40 1
NOT 2025-07-11 07:16:59 0.9745 50 1
APE 2025-07-11 07:19:49 0.9735 30 1
JUP 2025-07-11 07:14:29 0.968 70 1
OM 2025-07-11 07:25:34 0.9624 60 1

📌 Time Data

Start at Closed at Duration
11 Jul 2025
07:24:35		 11 Jul 2025
07:35:00		 10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.117 0.1163 0.118 1.4 0.1126
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 0.117
  • Stop Loss: 0.1163
  • Take Profit: 0.118

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1163 - 0.117 = -0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.117 - 0.118 = -0.00099999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00099999999999999 / -0.00070000000000001 = 1.4286

📌 Position Size

Amount Margin Quantity Leverage
1401 100 11970 14.01
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 -0.00070000000000001

Taille de position = 8 / -0.00070000000000001 = -11428.57

Taille de position USD = -11428.57 x 0.117 = -1337.14

Donc, tu peux acheter -11428.57 avec un stoploss a 0.1163

Avec un position size USD de -1337.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11428.57 x -0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11428.57 x -0.00099999999999999 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

  • Taille de position -11428.57
  • Taille de position USD -1337.14
  • Perte potentielle 8
  • Gain potentiel 11.43
  • Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target TP $ Target
0.85 % 12 $
SL % Target SL $ Target
0.6 % 8.4 $
PNL PNL %
12 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1184
            [stop_loss] => 0.1163
            [rr_ratio] => 2
            [closed_at] => 2025-07-11 08:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.11875
            [stop_loss] => 0.1163
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-11 08:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1191
            [stop_loss] => 0.1163
            [rr_ratio] => 3
            [closed_at] => 2025-07-11 08:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11945
            [stop_loss] => 0.1163
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-11 08:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1198
            [stop_loss] => 0.1163
            [rr_ratio] => 4
            [closed_at] => 2025-07-11 09:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.12015
            [stop_loss] => 0.1163
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-11 09:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1205
            [stop_loss] => 0.1163
            [rr_ratio] => 5
            [closed_at] => 2025-07-11 10:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.12085
            [stop_loss] => 0.1163
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-11 10:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1212
            [stop_loss] => 0.1163
            [rr_ratio] => 6
            [closed_at] => 2025-07-11 10:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)