Long Trade on PYTH 06 Sep 2025 at 05:42:11

Take profit at 0.1594 (1.4 %) and Stop Loss at 0.1561 (0.7 %)

Long Trade on PYTH

The 06 Sep 2025 at 05:42:11

With 7200.4938 PYTH at 0.1572$ per unit.

Position size of 1131.9176 $

Take profit at 0.1594 (1.4 %) and Stop Loss at 0.1561 (0.7 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -60
ML Pullback Score: 6.69
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.79
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.68
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_medium

BTC Correlation Score

5m : 0.22101

15m : 0.064149

1H : 0.044222

0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0007406899449
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 0.158594
  4. ema21 : 0.155936
  5. ema50 : 0.154386
  6. ema100 : 0.155785
  7. price_ema9_diff : -0.00879046
  8. ema9_ema21_diff : 0.0170429
  9. ema21_ema50_diff : 0.0100391
  10. price_ema100_diff : 0.00907973
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.526484
  14. ema_slope_21 : 0.348266
  15. ema_slope_50 : 0.139687
  16. ema_slope_100 : 0.0376527
  17. rsi : 0.540327
  18. adx : 0.348883
  19. kc_percentage : 0.576415
  20. kc_width_percentage : 0.0915527
  21. volume_ema_diff : 0.228679
  22. volume_ema1 : 1850246.1733172
  23. volume_ema2 : 1505881.2832116
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 0.158928
  28. ema21 : 0.159507
  29. ema50 : 0.157639
  30. ema100 : 0.155168
  31. price_ema9_diff : -0.0108735
  32. ema9_ema21_diff : -0.00363365
  33. ema21_ema50_diff : 0.0118524
  34. price_ema100_diff : 0.0130926
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0816311
  38. ema_slope_21 : 0.0111264
  39. ema_slope_50 : 0.0772798
  40. ema_slope_100 : 0.0728977
  41. rsi : 0.419883
  42. adx : 0.274599
  43. kc_percentage : 0.140006
  44. kc_width_percentage : 0.0411412
  45. volume_ema_diff : -0.425035
  46. volume_ema1 : 306951.23182874
  47. volume_ema2 : 533860.83468621
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 0.157711
  52. ema21 : 0.158723
  53. ema50 : 0.159711
  54. ema100 : 0.159864
  55. price_ema9_diff : -0.00324104
  56. ema9_ema21_diff : -0.00637636
  57. ema21_ema50_diff : -0.0061888
  58. price_ema100_diff : -0.0166701
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.11949
  62. ema_slope_21 : -0.108091
  63. ema_slope_50 : -0.0593073
  64. ema_slope_100 : -0.0277851
  65. rsi : 0.332234
  66. adx : 0.342483
  67. kc_percentage : -0.0249668
  68. kc_width_percentage : 0.0176202
  69. volume_ema_diff : -0.56489
  70. volume_ema1 : 69970.457176315
  71. volume_ema2 : 160811.26937151
  72. regime : bear_medium
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    110778
  77. 5m_price_ema100_diff:
    -0.00043945
  78. 5m_price:
    110730
  79. 5m_correlation_with_coin:
    0.22101
  80. btc_indicators
  81. 15m_ema100:
    111188
  82. 15m_price_ema100_diff:
    -0.00417069
  83. 15m_price:
    110724
  84. 15m_correlation_with_coin:
    0.064149
  85. btc_indicators
  86. 1H_ema100:
    110974
  87. 1H_price_ema100_diff:
    -0.00219855
  88. 1H_price:
    110730
  89. 1H_correlation_with_coin:
    0.044222
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
06 Sep 2025
05:42:11
06 Sep 2025
06:30:00
47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1572 0.1561 0.1594 2 0.0477
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 0.1572
  • Stop Loss: 0.1561
  • Take Profit: 0.1594

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1561 - 0.1572 = -0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1572 - 0.1594 = -0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0022 / -0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
1131.9176 100 7200.4938 11.32
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 -0.0011

Taille de position = 8 / -0.0011 = -7272.73

Taille de position USD = -7272.73 x 0.1572 = -1143.27

Donc, tu peux acheter -7272.73 avec un stoploss a 0.1561

Avec un position size USD de -1143.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7272.73 x -0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7272.73 x -0.0022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -7272.73
  • Taille de position USD -1143.27
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.4 % 15.84 $
SL % Target SL $ Target
0.7 % 7.92 $
PNL PNL %
-7.92 $ -0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6997 % 100 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1572
            [stop_loss] => 0.15599
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-06 10:00:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1572
            [stop_loss] => 0.15588
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-06 10:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1572
            [stop_loss] => 0.15577
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-06 10:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.1594
            [entry_price] => 0.1572
            [stop_loss] => 0.15555
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-06 10:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0017
            [max_drawdown] => 0.0011
            [rr_ratio] => 1.55
            [high] => 0.15890000
            [low] => 0.15610000
            [mfe_pct] => 1.08
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 1.55
            [candles_analyzed] => 24
            [start_at] => 2025-09-06T05:42:11-04:00
            [end_at] => 2025-09-06T07:42:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.0011
            [rr_ratio] => 7.27
            [high] => 0.16520000
            [low] => 0.15610000
            [mfe_pct] => 5.09
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 7.27
            [candles_analyzed] => 84
            [start_at] => 2025-09-06T05:42:11-04:00
            [end_at] => 2025-09-06T12:42:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16410000
            [high_after] => 0.16420000
            [low_before] => 0.15690000
            [low_after] => 0.15610000
            [is_new_high] => 1
            [is_new_low] => 
        )

)