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Trade

buy - PYTH

Status
win
2025-07-11 07:13:42
51 minutes
PNL
0.85
Entry: 0.1175
Last: 0.11850000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.7354
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
2 0.36
ML Trade Score: 130

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004312909574
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.117096
  4. ema21 - 0.114408
  5. ema50 - 0.109704
  6. ema100 - 0.105697
  7. price_ema9_diff - 0.00344453
  8. ema9_ema21_diff - 0.0234999
  9. ema21_ema50_diff - 0.0428739
  10. price_ema100_diff - 0.111663
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.643164
  14. kc_percentage - 0.872577
  15. kc_width_percentage - 0.0657584
  16. volume_ema_diff - -0.438895
  17. volume_ema1 - 90938.773746013
  18. volume_ema2 - 162071.01429649
    19. ¸
  19. 15m
  20. ema9 - 0.118214
  21. ema21 - 0.117775
  22. ema50 - 0.116092
  23. ema100 - 0.113534
  24. price_ema9_diff - -0.00604698
  25. ema9_ema21_diff - 0.00372724
  26. ema21_ema50_diff - 0.0145018
  27. price_ema100_diff - 0.0349232
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.50136
  31. kc_percentage - 0.414937
  32. kc_width_percentage - 0.0320644
  33. volume_ema_diff - -0.694858
  34. volume_ema1 - 13134.156919152
  35. volume_ema2 - 43042.873896642
    36. ¸
  36. 5m
  37. ema9 - 0.118365
  38. ema21 - 0.118421
  39. ema50 - 0.118098
  40. ema100 - 0.117655
  41. price_ema9_diff - -0.00731442
  42. ema9_ema21_diff - -0.000473356
  43. ema21_ema50_diff - 0.00273383
  44. price_ema100_diff - -0.00131763
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.404366
  48. kc_percentage - -0.0494805
  49. kc_width_percentage - 0.0144065
  50. volume_ema_diff - -0.719442
  51. volume_ema1 - 2474.6899861687
  52. volume_ema2 - 8820.6226119526
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117694
  56. 5m_price_ema100_diff: 0.000729995
  57. 5m_price: 117780
  58. 5m_correlation_with_coin: 0.568534
  59. btc_indicators
  60. 15m_ema100: 115416
  61. 15m_price_ema100_diff: 0.0204783
  62. 15m_price: 117780
  63. btc_indicators
  64. 1H_ema100: 111761
  65. 1H_price_ema100_diff: 0.0538565
  66. 1H_price: 117780
    67. ¸

Long Trade on PYTH

The 11 Jul 2025 at 07:13:42

With 12370 PYTH at 0.1175$ per unit.

Position size of 1453 $

Take profit at 0.1185 (0.85 %) and Stop Loss at 0.1169 (0.51 %)

That's a 1.7 RR Trade

📌 Similar Trades

Similar Trade Score: 28.33 %

Symbol Start at Seach Score Trade Score Trades Count
1MBABYDOGE 2025-07-11 07:17:59 0.9877 30 1
ARB 2025-07-11 07:11:15 0.9862 -100 1
STRK 2025-07-11 07:14:50 0.9839 40 1
XAI 2025-07-11 07:14:06 0.9825 40 1
LPT 2025-07-11 07:18:38 0.9736 30 2
ETHFI 2025-07-11 07:15:20 0.9786 40 1
JUP 2025-07-11 07:14:29 0.9777 70 1
CKB 2025-07-11 07:23:09 0.9773 30 1
APE 2025-07-11 07:19:49 0.9745 30 1
NOT 2025-07-11 07:16:59 0.9712 50 1
TURBO 2025-07-11 07:12:10 0.9631 30 1
OM 2025-07-11 07:15:44 0.9623 50 1

📌 Time Data

Start at Closed at Duration
11 Jul 2025
07:13:42		 11 Jul 2025
08:05:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1175 0.1169 0.1185 1.7 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 0.1175
  • Stop Loss: 0.1169
  • Take Profit: 0.1185

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1169 - 0.1175 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1175 - 0.1185 = -0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.001 / -0.00059999999999999 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1453 100 12370 14.53
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 0.1175 = -1566.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1169

Avec un position size USD de -1566.67$

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 -0.001 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -1566.67
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.85 % 12 $
SL % Target SL $ Target
0.51 % 7.4 $
PNL PNL %
12 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4255 % 83.33 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1187
            [stop_loss] => 0.1169
            [rr_ratio] => 2
            [closed_at] => 2025-07-11 08:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.119
            [stop_loss] => 0.1169
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-11 08:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1193
            [stop_loss] => 0.1169
            [rr_ratio] => 3
            [closed_at] => 2025-07-11 08:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1196
            [stop_loss] => 0.1169
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-11 08:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1199
            [stop_loss] => 0.1169
            [rr_ratio] => 4
            [closed_at] => 2025-07-11 09:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1202
            [stop_loss] => 0.1169
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-11 09:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1205
            [stop_loss] => 0.1169
            [rr_ratio] => 5
            [closed_at] => 2025-07-11 10:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1208
            [stop_loss] => 0.1169
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-11 10:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1211
            [stop_loss] => 0.1169
            [rr_ratio] => 6
            [closed_at] => 2025-07-11 10:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.1214
            [stop_loss] => 0.1169
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-11 10:35:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1217
            [stop_loss] => 0.1169
            [rr_ratio] => 7
            [closed_at] => 2025-07-11 11:55:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)