Web3Way Logo

Short Trade on PYTH

Previous Trade Next Trade

Short Trade on PYTH 30 Oct 2025 at 19:55:52

Take profit at 0.1016 (0.88 %) and Stop Loss at 0.1029 (0.39 %)

Short Trade on PYTH

The 30 Oct 2025 at 19:55:52

With 18416.7098 PYTH at 0.1025$ per unit.

Position size of 1887.7128 $

Take profit at 0.1016 (0.88 %) and Stop Loss at 0.1029 (0.39 %)

That's a 2.25 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.76
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.98
Prediction 2 Probability
0 0.85
Prediction 3 Probability
0 0.97
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low
BTC Correlation Score

5m : 0.737722

15m : 0.002976

1H : 0.094319

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.0002895920821
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 0.102098
  4. ema21 : 0.105014
  5. ema50 : 0.1089
  6. ema100 : 0.111804
  7. price_ema9_diff : 0.00392958
  8. ema9_ema21_diff : -0.027761
  9. ema21_ema50_diff : -0.0356852
  10. price_ema100_diff : -0.0832212
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.656276
  14. ema_slope_21 : -0.516972
  15. ema_slope_50 : -0.313046
  16. ema_slope_100 : -0.191662
  17. rsi : 0.374744
  18. adx : 0.496164
  19. kc_percentage : 0.194016
  20. kc_width_percentage : 0.0734329
  21. volume_ema_diff : -0.310806
  22. volume_ema1 : 118629.73793991
  23. volume_ema2 : 172128.42484617
  24. chop : 32.2327
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.101499
  28. ema21 : 0.101248
  29. ema50 : 0.102922
  30. ema100 : 0.105833
  31. price_ema9_diff : 0.00985886
  32. ema9_ema21_diff : 0.0024796
  33. ema21_ema50_diff : -0.0162642
  34. price_ema100_diff : -0.0314939
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.138407
  38. ema_slope_21 : 0.0266418
  39. ema_slope_50 : -0.08048
  40. ema_slope_100 : -0.0966523
  41. rsi : 0.59184
  42. adx : 0.322631
  43. kc_percentage : 0.962785
  44. kc_width_percentage : 0.0267828
  45. volume_ema_diff : -0.723029
  46. volume_ema1 : 11670.033431043
  47. volume_ema2 : 42134.621175903
  48. chop : 48.0888
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.102099
  52. ema21 : 0.10167
  53. ema50 : 0.101159
  54. ema100 : 0.101145
  55. price_ema9_diff : 0.00391955
  56. ema9_ema21_diff : 0.00422476
  57. ema21_ema50_diff : 0.00505414
  58. price_ema100_diff : 0.0133896
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0689349
  62. ema_slope_21 : 0.0597856
  63. ema_slope_50 : 0.0394364
  64. ema_slope_100 : 0.0169754
  65. rsi : 0.718425
  66. adx : 0.323796
  67. kc_percentage : 1.23785
  68. kc_width_percentage : 0.0105709
  69. volume_ema_diff : -0.79543
  70. volume_ema1 : 1680.317839313
  71. volume_ema2 : 8213.93124695
  72. chop : 41.9665
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    107524
  77. 5m_price_ema100_diff: 
    0.00621039
  78. 5m_price: 
    108191
  79. 5m_correlation_with_coin: 
    0.737722
  80. btc_indicators
  81. 15m_ema100: 
    108657
  82. 15m_price_ema100_diff: 
    -0.00442139
  83. 15m_price: 
    108176
  84. 15m_correlation_with_coin: 
    0.002976
  85. btc_indicators
  86. 1H_ema100: 
    111584
  87. 1H_price_ema100_diff: 
    -0.0304051
  88. 1H_price: 
    108191
  89. 1H_correlation_with_coin: 
    0.094319
    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] => 2025-10-27 19:00:00
                    [1] => 0.1139
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-28 01:00:00
                    [1] => 0.1139
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-28 03:00:00
                    [1] => 0.1178
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-28 09:00:00
                    [1] => 0.1175
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-28 17:00:00
                    [1] => 0.1085
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-29 14:00:00
                    [1] => 0.1102
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-29 16:00:00
                    [1] => 0.1176
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 00:00:00
                    [1] => 0.1077
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.0983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:00:00
                    [1] => 0.1026
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.29239766081871
            [ms_dist_from_last_low_pct] => 4.0691759918617
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 4.3743641912513
            [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] => 2025-10-29 21:00:00
                    [1] => 0.114
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-29 22:00:00
                    [1] => 0.1129
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-29 22:45:00
                    [1] => 0.114
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-29 23:15:00
                    [1] => 0.114
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 00:15:00
                    [1] => 0.1077
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-30 03:15:00
                    [1] => 0.1128
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-30 06:45:00
                    [1] => 0.1091
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-30 11:30:00
                    [1] => 0.1019
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-30 15:30:00
                    [1] => 0.0983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:45:00
                    [1] => 0.1026
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.29239766081871
            [ms_dist_from_last_low_pct] => 4.0691759918617
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 17
            [ms_last_swing_amplitude_pct] => 4.3743641912513
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [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] => 2025-10-30 13:35:00
                    [1] => 0.0997
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-30 15:00:00
                    [1] => 0.1001
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-30 15:40:00
                    [1] => 0.0983
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-30 15:50:00
                    [1] => 0.0998
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-30 17:05:00
                    [1] => 0.1011
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-30 17:35:00
                    [1] => 0.1
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-30 17:50:00
                    [1] => 0.1012
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-30 18:20:00
                    [1] => 0.1015
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-30 19:10:00
                    [1] => 0.1011
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-30 19:55:00
                    [1] => 0.1026
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.29239766081871
            [ms_dist_from_last_low_pct] => 1.186943620178
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 1.4836795252226
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
1.19%
Bars Since Swing High
0 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
1.48%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0003
0.29%
TP to Pivot Distance
0.0033
3.25%
DateTime Price Type
2025-10-30 13:35:00 0.0997 ↓ Low
2025-10-30 15:00:00 0.1001 ↑ High
2025-10-30 15:40:00 0.0983 ↓ Low
2025-10-30 15:50:00 0.0998 ↑ High
2025-10-30 17:05:00 0.1011 ↑ High
2025-10-30 17:35:00 0.1 ↓ Low
2025-10-30 17:50:00 0.1012 ↑ High
2025-10-30 18:20:00 0.1015 ↑ High
2025-10-30 19:10:00 0.1011 ↓ Low
2025-10-30 19:55:00 0.1026 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
4.07%
Bars Since Swing High
0 bars
Bars Since Swing Low
17 bars
Last Swing Amplitude Pct
4.37%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0111
10.79%
TP to Pivot Distance
0.0033
3.25%
DateTime Price Type
2025-10-29 21:00:00 0.114 ↑ High
2025-10-29 22:00:00 0.1129 ↓ Low
2025-10-29 22:45:00 0.114 ↑ High
2025-10-29 23:15:00 0.114 ↑ High
2025-10-30 00:15:00 0.1077 ↓ Low
2025-10-30 03:15:00 0.1128 ↑ High
2025-10-30 06:45:00 0.1091 ↓ Low
2025-10-30 11:30:00 0.1019 ↓ Low
2025-10-30 15:30:00 0.0983 ↓ Low
2025-10-30 19:45:00 0.1026 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.29%
Dist From Last Low Pct
4.07%
Bars Since Swing High
0 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
4.37%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0149
14.48%
TP to Pivot Distance
0.0033
3.25%
DateTime Price Type
2025-10-27 19:00:00 0.1139 ↓ Low
2025-10-28 01:00:00 0.1139 ↓ Low
2025-10-28 03:00:00 0.1178 ↑ High
2025-10-28 09:00:00 0.1175 ↑ High
2025-10-28 17:00:00 0.1085 ↓ Low
2025-10-29 14:00:00 0.1102 ↓ Low
2025-10-29 16:00:00 0.1176 ↑ High
2025-10-30 00:00:00 0.1077 ↓ Low
2025-10-30 15:00:00 0.0983 ↓ Low
2025-10-30 19:00:00 0.1026 ↑ High

📌 Time Data

Start at Closed at Duration
30 Oct 2025
19:55:52		 30 Oct 2025
21:05:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1025 0.1029 0.1016 2.25 0.0522
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 0.1025
  • Stop Loss: 0.1029
  • Take Profit: 0.1016

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1029 - 0.1025 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1025 - 0.1016 = 0.0009

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0009 / 0.00040000000000001 = 2.25

📌 Position Size

Amount Margin Quantity Leverage
1887.7128 100 18416.7098 18.88
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1025 = 2050

Donc, tu peux acheter 20000 avec un stoploss a 0.1029

Avec un position size USD de 2050$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0009 = 18

Si Take Profit atteint, tu gagneras 18$

Résumé

  • Taille de position 20000
  • Taille de position USD 2050
  • Perte potentielle 8
  • Gain potentiel 18
  • Risk-Reward Ratio 2.25

📌 Peformances

TP % Target TP $ Target
0.88 % 16.58 $
SL % Target SL $ Target
0.39 % 7.37 $
PNL PNL %
-7.37 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.7805 % 200.03 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1016
            [entry_price] => 0.1025
            [stop_loss] => 0.10294
            [rr_ratio] => 2.05
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1016
            [entry_price] => 0.1025
            [stop_loss] => 0.10298
            [rr_ratio] => 1.87
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1016
            [entry_price] => 0.1025
            [stop_loss] => 0.10302
            [rr_ratio] => 1.73
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1016
            [entry_price] => 0.1025
            [stop_loss] => 0.1031
            [rr_ratio] => 1.5
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-30 21:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069999999999999
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.54
            [high] => 0.10380000
            [low] => 0.10180000
            [mfe_pct] => 0.68
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 24
            [start_at] => 2025-10-30T19:55:52-04:00
            [end_at] => 2025-10-30T21:55:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00069999999999999
            [max_drawdown] => 0.0013
            [rr_ratio] => 0.54
            [high] => 0.10380000
            [low] => 0.10180000
            [mfe_pct] => 0.68
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 84
            [start_at] => 2025-10-30T19:55:52-04:00
            [end_at] => 2025-10-31T02:55:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10260000
            [high_after] => 0.10380000
            [low_before] => 0.09860000
            [low_after] => 0.10180000
            [is_new_high] => 
            [is_new_low] => 
        )

)