Web3Way Logo

Short Trade on PYTH

Previous Trade Next Trade

Short Trade on PYTH 23 Oct 2025 at 00:46:37

Take profit at 0.1089 (0.64 %) and Stop Loss at 0.1099 (0.27 %)

Short Trade on PYTH

The 23 Oct 2025 at 00:46:37

With 23604.3554 PYTH at 0.1096$ per unit.

Position size of 2587.0373 $

Take profit at 0.1089 (0.64 %) and Stop Loss at 0.1099 (0.27 %)

That's a 2.33 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.45
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.52
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.755795

15m : 0.040389

1H : -0.054044

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0002259470021
Details
  1. score: 1.12
  2. 1H
  3. ema9 : 0.109
  4. ema21 : 0.109692
  5. ema50 : 0.111283
  6. ema100 : 0.112142
  7. price_ema9_diff : 0.00549666
  8. ema9_ema21_diff : -0.00630873
  9. ema21_ema50_diff : -0.0142926
  10. price_ema100_diff : -0.022673
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.184982
  14. ema_slope_21 : -0.158902
  15. ema_slope_50 : -0.119206
  16. ema_slope_100 : -0.0697153
  17. rsi : 0.476845
  18. adx : 0.197093
  19. kc_percentage : 0.496278
  20. kc_width_percentage : 0.0599293
  21. volume_ema_diff : -0.304959
  22. volume_ema1 : 110658.95905131
  23. volume_ema2 : 159212.17677883
  24. chop : 41.819
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.109166
  28. ema21 : 0.10896
  29. ema50 : 0.109105
  30. ema100 : 0.109645
  31. price_ema9_diff : 0.00397539
  32. ema9_ema21_diff : 0.00188311
  33. ema21_ema50_diff : -0.00132986
  34. price_ema100_diff : -0.00041504
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0209828
  38. ema_slope_21 : 0.0247666
  39. ema_slope_50 : -0.000850507
  40. ema_slope_100 : -0.0116233
  41. rsi : 0.581788
  42. adx : 0.126697
  43. kc_percentage : 0.818715
  44. kc_width_percentage : 0.0180362
  45. volume_ema_diff : -0.452162
  46. volume_ema1 : 19994.466413554
  47. volume_ema2 : 36497.0559735
  48. chop : 79.0194
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.109177
  52. ema21 : 0.109042
  53. ema50 : 0.108901
  54. ema100 : 0.108735
  55. price_ema9_diff : 0.00386974
  56. ema9_ema21_diff : 0.00123867
  57. ema21_ema50_diff : 0.0012928
  58. price_ema100_diff : 0.00794645
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0201213
  62. ema_slope_21 : 0.0068388
  63. ema_slope_50 : 0.00627178
  64. ema_slope_100 : 0.00584866
  65. rsi : 0.635574
  66. adx : 0.166354
  67. kc_percentage : 1.11892
  68. kc_width_percentage : 0.00814375
  69. volume_ema_diff : -0.231604
  70. volume_ema1 : 7231.9019780053
  71. volume_ema2 : 9411.6869063907
  72. chop : 39.1993
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108017
  77. 5m_price_ema100_diff: 
    0.006892
  78. 5m_price: 
    108762
  79. 5m_correlation_with_coin: 
    0.755795
  80. btc_indicators
  81. 15m_ema100: 
    108041
  82. 15m_price_ema100_diff: 
    0.00667358
  83. 15m_price: 
    108762
  84. 15m_correlation_with_coin: 
    0.040389
  85. btc_indicators
  86. 1H_ema100: 
    108578
  87. 1H_price_ema100_diff: 
    0.00169525
  88. 1H_price: 
    108762
  89. 1H_correlation_with_coin: 
    -0.054044
    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] => 2025-10-20 02:00:00
                    [1] => 0.1221
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-20 12:00:00
                    [1] => 0.1141
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-20 19:00:00
                    [1] => 0.1168
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-21 01:00:00
                    [1] => 0.1104
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-21 11:00:00
                    [1] => 0.1218
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-21 21:00:00
                    [1] => 0.1091
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-22 07:00:00
                    [1] => 0.1076
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-22 11:00:00
                    [1] => 0.1139
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-22 17:00:00
                    [1] => 0.1047
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 00:00:00
                    [1] => 0.1097
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.54694621695534
            [ms_dist_from_last_low_pct] => 4.2024832855778
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 4.7755491881566
            [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] => 2025-10-22 03:45:00
                    [1] => 0.1108
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-22 07:00:00
                    [1] => 0.1076
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-22 09:30:00
                    [1] => 0.1101
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-22 11:00:00
                    [1] => 0.1139
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-22 15:15:00
                    [1] => 0.1106
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-22 17:00:00
                    [1] => 0.1047
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-22 19:30:00
                    [1] => 0.1093
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-22 21:15:00
                    [1] => 0.1097
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-22 23:00:00
                    [1] => 0.1085
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 00:30:00
                    [1] => 0.1097
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.54694621695534
            [ms_dist_from_last_low_pct] => 0.55299539170507
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.1059907834101
            [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] => 2025-10-22 20:35:00
                    [1] => 0.1092
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-22 21:15:00
                    [1] => 0.1097
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-22 21:20:00
                    [1] => 0.1087
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-22 22:20:00
                    [1] => 0.1096
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-22 23:10:00
                    [1] => 0.1085
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-22 23:30:00
                    [1] => 0.1091
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-22 23:40:00
                    [1] => 0.1091
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-22 23:50:00
                    [1] => 0.1086
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-23 00:00:00
                    [1] => 0.1086
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-23 00:40:00
                    [1] => 0.1097
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.54694621695534
            [ms_dist_from_last_low_pct] => 0.46040515653775
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 9
            [ms_last_swing_amplitude_pct] => 1.0128913443831
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.55%
Dist From Last Low Pct
0.46%
Bars Since Swing High
1 bars
Bars Since Swing Low
9 bars
Last Swing Amplitude Pct
1.01%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
0.18%
TP to Pivot Distance
0.0004
0.37%
DateTime Price Type
2025-10-22 20:35:00 0.1092 ↑ High
2025-10-22 21:15:00 0.1097 ↑ High
2025-10-22 21:20:00 0.1087 ↓ Low
2025-10-22 22:20:00 0.1096 ↑ High
2025-10-22 23:10:00 0.1085 ↓ Low
2025-10-22 23:30:00 0.1091 ↑ High
2025-10-22 23:40:00 0.1091 ↑ High
2025-10-22 23:50:00 0.1086 ↓ Low
2025-10-23 00:00:00 0.1086 ↓ Low
2025-10-23 00:40:00 0.1097 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.55%
Dist From Last Low Pct
0.55%
Bars Since Swing High
1 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.11%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0040
3.64%
TP to Pivot Distance
0.0042
3.86%
DateTime Price Type
2025-10-22 03:45:00 0.1108 ↑ High
2025-10-22 07:00:00 0.1076 ↓ Low
2025-10-22 09:30:00 0.1101 ↓ Low
2025-10-22 11:00:00 0.1139 ↑ High
2025-10-22 15:15:00 0.1106 ↑ High
2025-10-22 17:00:00 0.1047 ↓ Low
2025-10-22 19:30:00 0.1093 ↑ High
2025-10-22 21:15:00 0.1097 ↑ High
2025-10-22 23:00:00 0.1085 ↓ Low
2025-10-23 00:30:00 0.1097 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.55%
Dist From Last Low Pct
4.20%
Bars Since Swing High
0 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
4.78%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0122
11.10%
TP to Pivot Distance
0.0042
3.86%
DateTime Price Type
2025-10-20 02:00:00 0.1221 ↑ High
2025-10-20 12:00:00 0.1141 ↓ Low
2025-10-20 19:00:00 0.1168 ↑ High
2025-10-21 01:00:00 0.1104 ↓ Low
2025-10-21 11:00:00 0.1218 ↑ High
2025-10-21 21:00:00 0.1091 ↓ Low
2025-10-22 07:00:00 0.1076 ↓ Low
2025-10-22 11:00:00 0.1139 ↑ High
2025-10-22 17:00:00 0.1047 ↓ Low
2025-10-23 00:00:00 0.1097 ↑ High

📌 Time Data

Start at Closed at Duration
23 Oct 2025
00:46:37		 23 Oct 2025
02:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1096 0.1099 0.1089 2.33 0.0481
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 0.1096
  • Stop Loss: 0.1099
  • Take Profit: 0.1089

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1099 - 0.1096 = 0.00029999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1096 - 0.1089 = 0.00070000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00070000000000001 / 0.00029999999999999 = 2.3333

📌 Position Size

Amount Margin Quantity Leverage
2587.0373 100 23604.3554 25.87
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 0.00029999999999999

Taille de position = 8 / 0.00029999999999999 = 26666.67

Taille de position USD = 26666.67 x 0.1096 = 2922.67

Donc, tu peux acheter 26666.67 avec un stoploss a 0.1099

Avec un position size USD de 2922.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 26666.67 x 0.00029999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 26666.67 x 0.00070000000000001 = 18.67

Si Take Profit atteint, tu gagneras 18.67$

Résumé

  • Taille de position 26666.67
  • Taille de position USD 2922.67
  • Perte potentielle 8
  • Gain potentiel 18.67
  • Risk-Reward Ratio 2.3333

📌 Peformances

TP % Target TP $ Target
0.64 % 16.52 $
SL % Target SL $ Target
0.27 % 7.08 $
PNL PNL %
-7.08 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3686 % 500.04 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1089
            [entry_price] => 0.1096
            [stop_loss] => 0.10993
            [rr_ratio] => 2.12
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-23 02:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1089
            [entry_price] => 0.1096
            [stop_loss] => 0.10996
            [rr_ratio] => 1.94
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-23 02:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1089
            [entry_price] => 0.1096
            [stop_loss] => 0.10999
            [rr_ratio] => 1.79
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-23 02:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1089
            [entry_price] => 0.1096
            [stop_loss] => 0.11005
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-23 02:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0016
            [rr_ratio] => 0.38
            [high] => 0.11120000
            [low] => 0.10900000
            [mfe_pct] => 0.55
            [mae_pct] => 1.46
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-10-23T00:46:37-04:00
            [end_at] => 2025-10-23T02:46:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0006
            [max_drawdown] => 0.0025
            [rr_ratio] => 0.24
            [high] => 0.11210000
            [low] => 0.10900000
            [mfe_pct] => 0.55
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 0.24
            [candles_analyzed] => 84
            [start_at] => 2025-10-23T00:46:37-04:00
            [end_at] => 2025-10-23T07:46:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10970000
            [high_after] => 0.11210000
            [low_before] => 0.10850000
            [low_after] => 0.10900000
            [is_new_high] => 
            [is_new_low] => 
        )

)