Trade

buy - PYTH

Status
loss
2025-07-12 04:52:08
7 minutes
PNL
-0.51
Entry: 0.1166
Last: 0.11600000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.1923
Prediction 1 Accuracy
Weak Trade
0.58
Prediction 2 Accuracy
0 0.5
ML Trade Score: -60
ML Pullback Score: 2.03

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0003736475786
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 0.116615
  4. ema21 - 0.116555
  5. ema50 - 0.113933
  6. ema100 - 0.109292
  7. price_ema9_diff - -0.000131975
  8. ema9_ema21_diff - 0.000511507
  9. ema21_ema50_diff - 0.0230181
  10. price_ema100_diff - 0.0668666
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.512545
  14. kc_percentage - 0.500572
  15. kc_width_percentage - 0.078839
  16. volume_ema_diff - 0.519434
  17. volume_ema1 - 297283.45056896
  18. volume_ema2 - 195653.94675754
  19. ¸
  20. 15m
  21. ema9 - 0.117414
  22. ema21 - 0.116957
  23. ema50 - 0.116866
  24. ema100 - 0.117046
  25. price_ema9_diff - -0.00693333
  26. ema9_ema21_diff - 0.00390777
  27. ema21_ema50_diff - 0.000775838
  28. price_ema100_diff - -0.00381871
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.508793
  32. kc_percentage - 0.391109
  33. kc_width_percentage - 0.0301491
  34. volume_ema_diff - 0.242846
  35. volume_ema1 - 69729.487375518
  36. volume_ema2 - 56104.660848527
  37. ¸
  38. 5m
  39. ema9 - 0.117369
  40. ema21 - 0.117474
  41. ema50 - 0.116988
  42. ema100 - 0.116218
  43. price_ema9_diff - -0.00655802
  44. ema9_ema21_diff - -0.000892289
  45. ema21_ema50_diff - 0.00415405
  46. price_ema100_diff - 0.00327883
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.388266
  50. kc_percentage - -0.123323
  51. kc_width_percentage - 0.0121531
  52. volume_ema_diff - -0.449671
  53. volume_ema1 - 14793.624168741
  54. volume_ema2 - 26881.454676316
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 117653
  59. 5m_price_ema100_diff: 0.000524104
  60. 5m_price: 117714
  61. 5m_correlation_with_coin: 0.487049
  62. btc_indicators
  63. 15m_ema100: 117691
  64. 15m_price_ema100_diff: 0.00024227
  65. 15m_price: 117719
  66. btc_indicators
  67. 1H_ema100: 113707
  68. 1H_price_ema100_diff: 0.0352475
  69. 1H_price: 117714
  70. ¸

Long Trade on PYTH

The 12 Jul 2025 at 04:52:08

With 14273.6997 PYTH at 0.1166$ per unit.

Position size of 1664.3134 $

Take profit at 0.1174 (0.69 %) and Stop Loss at 0.116 (0.51 %)

That's a 1.33 RR Trade

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Similar Trade Score: -24.17 %

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HIPPO 2025-05-31 17:06:43 0.8503 -100 1

📌 Time Data

Start at Closed at Duration
12 Jul 2025
04:52:08
12 Jul 2025
05:00:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1166 0.116 0.1174 1.33 0.1399
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 0.1166
  • Stop Loss: 0.116
  • Take Profit: 0.1174

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.116 - 0.1166 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1166 - 0.1174 = -0.00080000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00080000000000001 / -0.00059999999999999 = 1.3333

📌 Position Size

Amount Margin Quantity Leverage
1664.3134 100 14273.6997 16.64
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 0.1166 = -1554.67

Donc, tu peux acheter -13333.33 avec un stoploss a 0.116

Avec un position size USD de -1554.67$

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 -0.00080000000000001 = 10.67

Si Take Profit atteint, tu gagneras 10.67$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -1554.67
  • Perte potentielle 8
  • Gain potentiel 10.67
  • Risk-Reward Ratio 1.3333

📌 Peformances

TP % Target TP $ Target
0.69 % 11.42 $
SL % Target SL $ Target
0.51 % 8.56 $
PNL PNL %
-8.56 $ -0.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5146 % 100 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1174
            [entry_price] => 0.1166
            [stop_loss] => 0.11594
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-07-12 05:30:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1174
            [entry_price] => 0.1166
            [stop_loss] => 0.11588
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-07-12 05:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1174
            [entry_price] => 0.1166
            [stop_loss] => 0.11582
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-07-12 05:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1174
            [entry_price] => 0.1166
            [stop_loss] => 0.1157
            [rr_ratio] => 0.89
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-07-12 05:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.00059999999999999
            [rr_ratio] => 2.33
            [high] => 0.11800000
            [low] => 0.11600000
            [mfe_pct] => 1.2
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 2.33
            [candles_analyzed] => 24
            [start_at] => 2025-07-12T04:52:08-04:00
            [end_at] => 2025-07-12T06:52:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.005
            [rr_ratio] => 0.28
            [high] => 0.11800000
            [low] => 0.11160000
            [mfe_pct] => 1.2
            [mae_pct] => 4.29
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-07-12T04:52:08-04:00
            [end_at] => 2025-07-12T10:52:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11880000
            [high_after] => 0.11800000
            [low_before] => 0.11300000
            [low_after] => 0.11160000
            [is_new_high] => 
            [is_new_low] => 
        )

)