Web3Way Logo

Short Trade on PYTH

Previous Trade Next Trade

Short Trade on PYTH 14 Nov 2025 at 02:15:50

Take profit at 0.09322 (1.87 %) and Stop Loss at 0.09589 (0.94 %)

Short Trade on PYTH

The 14 Nov 2025 at 02:15:50

With 8981.5376 PYTH at 0.095$ per unit.

Position size of 853.2461 $

Take profit at 0.09322 (1.87 %) and Stop Loss at 0.09589 (0.94 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 9.84
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.66
Prediction 2 Probability
0 0.72
Prediction 3 Probability
0 0.81
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high_confirmed

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.817274

15m : 0.071011

1H : -0.012864

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0005938107228
Details
  1. score: 1.13
  2. 1H
  3. ema9 : 0.0945177
  4. ema21 : 0.0960439
  5. ema50 : 0.0987863
  6. ema100 : 0.101555
  7. price_ema9_diff : 0.00510238
  8. ema9_ema21_diff : -0.0158911
  9. ema21_ema50_diff : -0.0277604
  10. price_ema100_diff : -0.0645476
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.302326
  14. ema_slope_21 : -0.318512
  15. ema_slope_50 : -0.228201
  16. ema_slope_100 : -0.158894
  17. rsi : 0.433192
  18. adx : 0.432053
  19. kc_percentage : 0.387133
  20. kc_width_percentage : 0.0856666
  21. volume_ema_diff : 0.0962953
  22. volume_ema1 : 201024.12231908
  23. volume_ema2 : 183366.75321855
  24. chop : 50.5991
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0938397
  28. ema21 : 0.0937724
  29. ema50 : 0.0948421
  30. ema100 : 0.0968696
  31. price_ema9_diff : 0.0123641
  32. ema9_ema21_diff : 0.000718103
  33. ema21_ema50_diff : -0.0112791
  34. price_ema100_diff : -0.0193011
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0219997
  38. ema_slope_21 : -0.0714252
  39. ema_slope_50 : -0.0884866
  40. ema_slope_100 : -0.086685
  41. rsi : 0.576256
  42. adx : 0.241351
  43. kc_percentage : 0.804461
  44. kc_width_percentage : 0.0431142
  45. volume_ema_diff : -0.344263
  46. volume_ema1 : 39605.815375414
  47. volume_ema2 : 60398.945625706
  48. chop : 31.9454
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.0940918
  52. ema21 : 0.0934703
  53. ema50 : 0.0934184
  54. ema100 : 0.0938815
  55. price_ema9_diff : 0.00965128
  56. ema9_ema21_diff : 0.00664918
  57. ema21_ema50_diff : 0.000556266
  58. price_ema100_diff : 0.011913
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.110938
  62. ema_slope_21 : 0.0563566
  63. ema_slope_50 : 0.00770738
  64. ema_slope_100 : -0.00958004
  65. rsi : 0.668906
  66. adx : 0.266703
  67. kc_percentage : 1.13008
  68. kc_width_percentage : 0.0251192
  69. volume_ema_diff : -0.244156
  70. volume_ema1 : 16589.699662211
  71. volume_ema2 : 21948.602357819
  72. chop : 31.2545
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    98330.4
  77. 5m_price_ema100_diff: 
    -0.00987657
  78. 5m_price: 
    97359.3
  79. 5m_correlation_with_coin: 
    0.817274
  80. btc_indicators
  81. 15m_ema100: 
    99989.4
  82. 15m_price_ema100_diff: 
    -0.0263041
  83. 15m_price: 
    97359.3
  84. 15m_correlation_with_coin: 
    0.071011
  85. btc_indicators
  86. 1H_ema100: 
    102529
  87. 1H_price_ema100_diff: 
    -0.0504253
  88. 1H_price: 
    97359.3
  89. 1H_correlation_with_coin: 
    -0.012864
    90. ¸
  90. market_structures
  91. market_structures
  92. 1H_version: 1.1
  93. 1H_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-11 12:00:00
                    [1] => 0.1066
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-11 19:00:00
                    [1] => 0.0994
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-12 06:00:00
                    [1] => 0.1063
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-12 14:00:00
                    [1] => 0.0971
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-11-12 22:00:00
                    [1] => 0.0987
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-13 01:00:00
                    [1] => 0.1044
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 09:00:00
                    [1] => 0.1035
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-11-13 16:00:00
                    [1] => 0.0926
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-13 18:00:00
                    [1] => 0.0968
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-11-13 23:00:00
                    [1] => 0.0895
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -1.9628099173554
            [ms_dist_from_last_low_pct] => 6.0335195530726
            [ms_bars_since_swing_high] => 8
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 8.1564245810056
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  94. market_structures
  95. 15m_version: 1.1
  96. 15m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-13 08:15:00
                    [1] => 0.1028
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-11-13 09:30:00
                    [1] => 0.1001
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-11-13 09:45:00
                    [1] => 0.1035
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-11-13 10:15:00
                    [1] => 0.1035
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-13 16:15:00
                    [1] => 0.0926
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-13 18:30:00
                    [1] => 0.0968
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 20:30:00
                    [1] => 0.0943
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-13 23:30:00
                    [1] => 0.0895
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-11-14 01:45:00
                    [1] => 0.0917
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-14 02:15:00
                    [1] => 0.0953
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.41972717733473
            [ms_dist_from_last_low_pct] => 3.4896401308615
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 2
            [ms_last_swing_amplitude_pct] => 3.9258451472192
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
  97. market_structures
  98. 5m_version: 1.1
  99. 5m_market_structure: 
    Array
(
    [left_window] => 5
    [right_window] => 5
    [recent_pivots] => Array
        (
            [0] => Array
                (
                    [0] => 2025-11-13 19:15:00
                    [1] => 0.0946
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-11-13 19:30:00
                    [1] => 0.0964
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-11-13 20:00:00
                    [1] => 0.0944
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-11-13 20:20:00
                    [1] => 0.0956
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-11-13 20:40:00
                    [1] => 0.0943
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-11-13 21:15:00
                    [1] => 0.0955
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-11-13 23:35:00
                    [1] => 0.0895
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-11-14 00:45:00
                    [1] => 0.0938
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-11-14 01:45:00
                    [1] => 0.0917
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-11-14 02:15:00
                    [1] => 0.0953
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.41972717733473
            [ms_dist_from_last_low_pct] => 3.4896401308615
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 6
            [ms_last_swing_amplitude_pct] => 3.9258451472192
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.42%
Dist From Last Low Pct
3.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
6 bars
Last Swing Amplitude Pct
3.93%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0005
0.53%
TP to Pivot Distance
0.0037
3.99%
DateTime Price Type
2025-11-13 19:15:00 0.0946 ↓ Low
2025-11-13 19:30:00 0.0964 ↑ High
2025-11-13 20:00:00 0.0944 ↓ Low
2025-11-13 20:20:00 0.0956 ↑ High
2025-11-13 20:40:00 0.0943 ↓ Low
2025-11-13 21:15:00 0.0955 ↑ High
2025-11-13 23:35:00 0.0895 ↓ Low
2025-11-14 00:45:00 0.0938 ↑ High
2025-11-14 01:45:00 0.0917 ↓ Low
2025-11-14 02:15:00 0.0953 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.42%
Dist From Last Low Pct
3.49%
Bars Since Swing High
0 bars
Bars Since Swing Low
2 bars
Last Swing Amplitude Pct
3.93%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0076
7.94%
TP to Pivot Distance
0.0037
3.99%
DateTime Price Type
2025-11-13 08:15:00 0.1028 ↑ High
2025-11-13 09:30:00 0.1001 ↓ Low
2025-11-13 09:45:00 0.1035 ↑ High
2025-11-13 10:15:00 0.1035 ↑ High
2025-11-13 16:15:00 0.0926 ↓ Low
2025-11-13 18:30:00 0.0968 ↑ High
2025-11-13 20:30:00 0.0943 ↓ Low
2025-11-13 23:30:00 0.0895 ↓ Low
2025-11-14 01:45:00 0.0917 ↓ Low
2025-11-14 02:15:00 0.0953 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-1.96%
Dist From Last Low Pct
6.03%
Bars Since Swing High
8 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
8.16%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0107
11.17%
TP to Pivot Distance
0.0037
3.99%
DateTime Price Type
2025-11-11 12:00:00 0.1066 ↑ High
2025-11-11 19:00:00 0.0994 ↓ Low
2025-11-12 06:00:00 0.1063 ↑ High
2025-11-12 14:00:00 0.0971 ↓ Low
2025-11-12 22:00:00 0.0987 ↓ Low
2025-11-13 01:00:00 0.1044 ↑ High
2025-11-13 09:00:00 0.1035 ↑ High
2025-11-13 16:00:00 0.0926 ↓ Low
2025-11-13 18:00:00 0.0968 ↑ High
2025-11-13 23:00:00 0.0895 ↓ Low

📌 Time Data

Start at Closed at Duration
14 Nov 2025
02:15:50		 14 Nov 2025
03:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.095 0.09589 0.09322 2 0.0464
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 0.095
  • Stop Loss: 0.09589
  • Take Profit: 0.09322

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.09589 - 0.095 = 0.00089

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.095 - 0.09322 = 0.00178

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00178 / 0.00089 = 2

📌 Position Size

Amount Margin Quantity Leverage
853.2461 100 8981.5376 8.53
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 0.00089

Taille de position = 8 / 0.00089 = 8988.76

Taille de position USD = 8988.76 x 0.095 = 853.93

Donc, tu peux acheter 8988.76 avec un stoploss a 0.09589

Avec un position size USD de 853.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8988.76 x 0.00089 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8988.76 x 0.00178 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 8988.76
  • Taille de position USD 853.93
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.87 % 15.99 $
SL % Target SL $ Target
0.94 % 7.99 $
PNL PNL %
15.99 $ 1.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5263 % 56.18 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.09322
            [stop_loss] => 0.09589
            [rr_ratio] => 2
            [closed_at] => 2025-11-14 03:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.092775
            [stop_loss] => 0.09589
            [rr_ratio] => 2.5
            [closed_at] => 2025-11-14 04:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.09233
            [stop_loss] => 0.09589
            [rr_ratio] => 3
            [closed_at] => 2025-11-14 04:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.091885
            [stop_loss] => 0.09589
            [rr_ratio] => 3.5
            [closed_at] => 2025-11-14 04:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.09144
            [stop_loss] => 0.09589
            [rr_ratio] => 4
            [closed_at] => 2025-11-14 06:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.090995
            [stop_loss] => 0.09589
            [rr_ratio] => 4.5
            [closed_at] => 2025-11-14 07:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.09055
            [stop_loss] => 0.09589
            [rr_ratio] => 5
            [closed_at] => 2025-11-14 07:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.090105
            [stop_loss] => 0.09589
            [rr_ratio] => 5.5
            [closed_at] => 2025-11-14 07:35:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.08966
            [stop_loss] => 0.09589
            [rr_ratio] => 6
            [closed_at] => 2025-11-14 07:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0024
            [max_drawdown] => 0.0005
            [rr_ratio] => 4.8
            [high] => 0.09550000
            [low] => 0.09260000
            [mfe_pct] => 2.53
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 4.8
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T02:15:50-05:00
            [end_at] => 2025-11-14T04:15:50-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.0005
            [rr_ratio] => 11.2
            [high] => 0.09550000
            [low] => 0.08940000
            [mfe_pct] => 5.89
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 11.2
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T02:15:50-05:00
            [end_at] => 2025-11-14T09:15:50-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09530000
            [high_after] => 0.09550000
            [low_before] => 0.08950000
            [low_after] => 0.08940000
            [is_new_high] => 
            [is_new_low] => 1
        )

)