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Trade

buy - PYTH

Status
win
2025-07-13 05:31:06
48 minutes
PNL
1.01
Entry: 0.1188
Last: 0.12000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.5759
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.47
ML Trade Score: 100
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0005268801281
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.119279
  4. ema21 - 0.117767
  5. ema50 - 0.115919
  6. ema100 - 0.112782
  7. price_ema9_diff - -0.00402177
  8. ema9_ema21_diff - 0.012839
  9. ema21_ema50_diff - 0.01594
  10. price_ema100_diff - 0.0533507
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.534432
  14. kc_percentage - 0.585753
  15. kc_width_percentage - 0.0930031
  16. volume_ema_diff - 0.163206
  17. volume_ema1 - 448503.45369004
  18. volume_ema2 - 385575.03629423
    19. ¸
  19. 15m
  20. ema9 - 0.119855
  21. ema21 - 0.119852
  22. ema50 - 0.118532
  23. ema100 - 0.11734
  24. price_ema9_diff - -0.00880858
  25. ema9_ema21_diff - 3.11997E-5
  26. ema21_ema50_diff - 0.0111325
  27. price_ema100_diff - 0.0124362
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.448963
  31. kc_percentage - 0.263333
  32. kc_width_percentage - 0.0385599
  33. volume_ema_diff - -0.576093
  34. volume_ema1 - 61005.887339889
  35. volume_ema2 - 143913.45680567
    36. ¸
  36. 5m
  37. ema9 - 0.119517
  38. ema21 - 0.119957
  39. ema50 - 0.120129
  40. ema100 - 0.119892
  41. price_ema9_diff - -0.00600428
  42. ema9_ema21_diff - -0.00366438
  43. ema21_ema50_diff - -0.00143737
  44. price_ema100_diff - -0.00911178
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.341797
  48. kc_percentage - -0.0636114
  49. kc_width_percentage - 0.0169421
  50. volume_ema_diff - -0.601844
  51. volume_ema1 - 15687.727633671
  52. volume_ema2 - 39401.023705704
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 117711
  56. 5m_price_ema100_diff: 0.000765494
  57. 5m_price: 117801
  58. 5m_correlation_with_coin: 0.272476
  59. btc_indicators
  60. 15m_ema100: 117641
  61. 15m_price_ema100_diff: 0.00136745
  62. 15m_price: 117801
  63. btc_indicators
  64. 1H_ema100: 115289
  65. 1H_price_ema100_diff: 0.021792
  66. 1H_price: 117801
    67. ¸

Long Trade on PYTH

The 13 Jul 2025 at 05:31:06

With 10122.4796 PYTH at 0.1188$ per unit.

Position size of 1202.5506 $

Take profit at 0.12 (1.01 %) and Stop Loss at 0.118 (0.67 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -52.29 %

Symbol Start at Seach Score Trade Score Trades Count
CORE 2025-03-30 05:18:34 0.9597 -100 2
AIXBT 2025-05-27 18:18:33 0.9572 -35 2
MKR 2025-06-10 02:01:27 0.9572 -53.33 3
ETHFI 2025-05-11 03:05:46 0.9561 -100 1
ZK 2025-05-11 03:46:41 0.9531 -100 2
LQTY 2025-06-10 17:16:18 0.9532 40 1
RFC 2025-05-02 11:05:21 0.9513 -100 2
VIRTUAL 2025-04-26 07:52:39 0.9512 30 1

📌 Time Data

Start at Closed at Duration
13 Jul 2025
05:31:06		 13 Jul 2025
06:20:00		 48 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1188 0.118 0.12 1.5 0.1238
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 0.1188
  • Stop Loss: 0.118
  • Take Profit: 0.12

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.118 - 0.1188 = -0.00080000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1188 - 0.12 = -0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0012 / -0.00080000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1202.5506 100 10122.4796 12.03
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 -0.00080000000000001

Taille de position = 8 / -0.00080000000000001 = -10000

Taille de position USD = -10000 x 0.1188 = -1188

Donc, tu peux acheter -10000 avec un stoploss a 0.118

Avec un position size USD de -1188$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10000 x -0.00080000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10000 x -0.0012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -10000
  • Taille de position USD -1188
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.01 % 12.15 $
SL % Target SL $ Target
0.67 % 8.1 $
PNL PNL %
12.15 $ 1.01
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2525 % 37.5 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1204
            [stop_loss] => 0.118
            [rr_ratio] => 2
            [closed_at] => 2025-07-13 07:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1208
            [stop_loss] => 0.118
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-13 08:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1212
            [stop_loss] => 0.118
            [rr_ratio] => 3
            [closed_at] => 2025-07-13 08:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1216
            [stop_loss] => 0.118
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-13 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.122
            [stop_loss] => 0.118
            [rr_ratio] => 4
            [closed_at] => 2025-07-13 10:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1224
            [stop_loss] => 0.118
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-13 10:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1228
            [stop_loss] => 0.118
            [rr_ratio] => 5
            [closed_at] => 2025-07-13 10:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.00030000000000001
            [rr_ratio] => 6.67
            [high] => 0.12080000
            [low] => 0.11850000
            [mfe_pct] => 1.68
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 6.67
            [candles_analyzed] => 24
            [start_at] => 2025-07-13T05:31:06-04:00
            [end_at] => 2025-07-13T07:31:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0042
            [max_drawdown] => 0.00030000000000001
            [rr_ratio] => 14
            [high] => 0.12300000
            [low] => 0.11850000
            [mfe_pct] => 3.54
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 14
            [candles_analyzed] => 72
            [start_at] => 2025-07-13T05:31:06-04:00
            [end_at] => 2025-07-13T11:31:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12220000
            [high_after] => 0.12300000
            [low_before] => 0.11840000
            [low_after] => 0.11850000
            [is_new_high] => 1
            [is_new_low] => 
        )

)