Trade

buy - PYTH

Status
loss
2025-08-08 01:07:46
27 minutes
PNL
-0.41
Entry: 0.1217
Last: 0.12120000

Results

Status:
loss
Trade Type:
buy
Prediction Score: 0.9042
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
0 0.41
Prediction 3 Probability
1 0.75
ML Trade Score: -80
ML Pullback Score: 6.9

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0003444395999
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.121764
  4. ema21 - 0.12036
  5. ema50 - 0.11808
  6. ema100 - 0.116765
  7. price_ema9_diff - -0.000528969
  8. ema9_ema21_diff - 0.0116629
  9. ema21_ema50_diff - 0.0193061
  10. price_ema100_diff - 0.0422578
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.615058
  14. adx - 0.354237
  15. kc_percentage - 0.706943
  16. kc_width_percentage - 0.0486517
  17. volume_ema_diff - -0.13035
  18. volume_ema1 - 121474.44786755
  19. volume_ema2 - 139682.0827494
  20. ¸
  21. 15m
  22. ema9 - 0.122328
  23. ema21 - 0.122222
  24. ema50 - 0.121284
  25. ema100 - 0.119903
  26. price_ema9_diff - -0.00513736
  27. ema9_ema21_diff - 0.000865227
  28. ema21_ema50_diff - 0.00773327
  29. price_ema100_diff - 0.0149863
  30. all_emas_in_trend - True
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.469525
  33. adx - 0.150704
  34. kc_percentage - 0.314554
  35. kc_width_percentage - 0.0241978
  36. volume_ema_diff - -0.705013
  37. volume_ema1 - 13876.3753484
  38. volume_ema2 - 47040.747696688
  39. ¸
  40. 5m
  41. ema9 - 0.122188
  42. ema21 - 0.122379
  43. ema50 - 0.12234
  44. ema100 - 0.122074
  45. price_ema9_diff - -0.00400037
  46. ema9_ema21_diff - -0.00155632
  47. ema21_ema50_diff - 0.000320282
  48. price_ema100_diff - -0.00306908
  49. all_emas_in_trend - False
  50. all_emas_and_price_in_trend - False
  51. rsi - 0.382118
  52. adx - 0.122166
  53. kc_percentage - -0.0460945
  54. kc_width_percentage - 0.0101346
  55. volume_ema_diff - -0.691761
  56. volume_ema1 - 3830.8841973588
  57. volume_ema2 - 12428.32134262
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116927
  62. 5m_price_ema100_diff: -0.00263875
  63. 5m_price: 116619
  64. 5m_correlation_with_coin: 0.764157
  65. btc_indicators
  66. 15m_ema100: 116335
  67. 15m_price_ema100_diff: 0.00243871
  68. 15m_price: 116619
  69. btc_indicators
  70. 1H_ema100: 115252
  71. 1H_price_ema100_diff: 0.0118585
  72. 1H_price: 116619
  73. ¸

Long Trade on PYTH

The 08 Aug 2025 at 01:07:46

With 15484.0887 PYTH at 0.1217$ per unit.

Position size of 1884.4136 $

Take profit at 0.1225 (0.66 %) and Stop Loss at 0.1212 (0.41 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -55.91 %

Symbol Start at Seach Score Trade Score Trades Count
PEPE 2025-08-08 01:07:01 0.9733 -100 1
STX 2025-08-08 01:06:44 0.9732 -100 1
JTO 2025-08-08 01:02:14 0.9612 -100 2
S 2025-08-08 01:04:22 0.9696 -100 2
MOVE 2025-08-08 01:04:00 0.958 -35 2
JUP 2025-08-08 01:08:00 0.9607 -100 1
RENDER 2025-08-08 01:37:43 0.9506 50 1
SAND 2025-08-08 01:26:18 0.9491 30 1
OL 2025-08-22 20:01:44 0.9486 -100 1
MELANIA 2025-08-22 19:04:06 0.9482 40 1
SEI 2025-08-08 01:07:33 0.9481 -100 1

📌 Time Data

Start at Closed at Duration
08 Aug 2025
01:07:46
08 Aug 2025
01:35:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1217 0.1212 0.1225 1.6 0.1278
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 0.1217
  • Stop Loss: 0.1212
  • Take Profit: 0.1225

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1212 - 0.1217 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1217 - 0.1225 = -0.0008

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0008 / -0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
1884.4136 100 15484.0887 18.84
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.1217 = -1947.2

Donc, tu peux acheter -16000 avec un stoploss a 0.1212

Avec un position size USD de -1947.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.0008 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position -16000
  • Taille de position USD -1947.2
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.66 % 12.39 $
SL % Target SL $ Target
0.41 % 7.74 $
PNL PNL %
-7.74 $ -0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.493 % 120.01 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1225
            [entry_price] => 0.1217
            [stop_loss] => 0.12115
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-08 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1225
            [entry_price] => 0.1217
            [stop_loss] => 0.1211
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-08 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1225
            [entry_price] => 0.1217
            [stop_loss] => 0.12105
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-08 02:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1225
            [entry_price] => 0.1217
            [stop_loss] => 0.12095
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-08 02:35:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0014
            [max_drawdown] => 0.0006
            [rr_ratio] => 2.33
            [high] => 0.12310000
            [low] => 0.12110000
            [mfe_pct] => 1.15
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 2.33
            [candles_analyzed] => 24
            [start_at] => 2025-08-08T01:07:46-04:00
            [end_at] => 2025-08-08T03:07:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0006
            [rr_ratio] => 5.17
            [high] => 0.12480000
            [low] => 0.12110000
            [mfe_pct] => 2.55
            [mae_pct] => 0.49
            [mfe_mae_ratio] => 5.17
            [candles_analyzed] => 84
            [start_at] => 2025-08-08T01:07:46-04:00
            [end_at] => 2025-08-08T08:07:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.12370000
            [high_after] => 0.12480000
            [low_before] => 0.12120000
            [low_after] => 0.12110000
            [is_new_high] => 1
            [is_new_low] => 
        )

)