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Short Trade on PYTH

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Short Trade on PYTH 16 Oct 2025 at 23:04:00

Take profit at 0.1116 (1.15 %) and Stop Loss at 0.1136 (0.62 %)

Short Trade on PYTH

The 16 Oct 2025 at 23:04:00

With 12062.1773 PYTH at 0.1129$ per unit.

Position size of 1361.8198 $

Take profit at 0.1116 (1.15 %) and Stop Loss at 0.1136 (0.62 %)

That's a 1.86 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.71
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_medium
BTC Correlation Score

5m : 0.687429

15m : 0.104292

1H : -0.013015

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0004421534537
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.112863
  4. ema21 : 0.114819
  5. ema50 : 0.117504
  6. ema100 : 0.119457
  7. price_ema9_diff : 0.000319379
  8. ema9_ema21_diff : -0.0170285
  9. ema21_ema50_diff : -0.0228556
  10. price_ema100_diff : -0.0548911
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.422438
  14. ema_slope_21 : -0.31108
  15. ema_slope_50 : -0.193688
  16. ema_slope_100 : -0.119254
  17. rsi : 0.40614
  18. adx : 0.441674
  19. kc_percentage : 0.292757
  20. kc_width_percentage : 0.0761735
  21. volume_ema_diff : -0.707763
  22. volume_ema1 : 133864.76849627
  23. volume_ema2 : 458070.50213234
  24. chop : 43.8522
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.112115
  28. ema21 : 0.112171
  29. ema50 : 0.11361
  30. ema100 : 0.115507
  31. price_ema9_diff : 0.00700143
  32. ema9_ema21_diff : -0.000506306
  33. ema21_ema50_diff : -0.012666
  34. price_ema100_diff : -0.0225726
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0484698
  38. ema_slope_21 : -0.014028
  39. ema_slope_50 : -0.0694598
  40. ema_slope_100 : -0.0670186
  41. rsi : 0.54135
  42. adx : 0.208021
  43. kc_percentage : 0.72437
  44. kc_width_percentage : 0.02994
  45. volume_ema_diff : -0.785869
  46. volume_ema1 : 17236.289672222
  47. volume_ema2 : 80494.330452381
  48. chop : 61.268
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.112196
  52. ema21 : 0.111997
  53. ema50 : 0.11198
  54. ema100 : 0.112467
  55. price_ema9_diff : 0.00627041
  56. ema9_ema21_diff : 0.00178075
  57. ema21_ema50_diff : 0.000149642
  58. price_ema100_diff : 0.00384611
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0204008
  62. ema_slope_21 : 0.00451751
  63. ema_slope_50 : -0.00178994
  64. ema_slope_100 : -0.011152
  65. rsi : 0.633121
  66. adx : 0.149862
  67. kc_percentage : 1.00926
  68. kc_width_percentage : 0.0155664
  69. volume_ema_diff : -0.68236
  70. volume_ema1 : 4157.1194175616
  71. volume_ema2 : 13087.519402526
  72. chop : 46.895
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    108386
  77. 5m_price_ema100_diff: 
    0.00494152
  78. 5m_price: 
    108922
  79. 5m_correlation_with_coin: 
    0.687429
  80. btc_indicators
  81. 15m_ema100: 
    109431
  82. 15m_price_ema100_diff: 
    -0.0046574
  83. 15m_price: 
    108922
  84. 15m_correlation_with_coin: 
    0.104292
  85. btc_indicators
  86. 1H_ema100: 
    111659
  87. 1H_price_ema100_diff: 
    -0.0245203
  88. 1H_price: 
    108922
  89. 1H_correlation_with_coin: 
    -0.013015
    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] => 2025-10-13 17:00:00
                    [1] => 0.1354
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-14 06:00:00
                    [1] => 0.1159
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-14 14:00:00
                    [1] => 0.1263
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-14 22:00:00
                    [1] => 0.1247
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 02:00:00
                    [1] => 0.1209
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 0.1268
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 0.1148
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 0.115
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 06:00:00
                    [1] => 0.1223
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.1098
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -7.7677841373671
            [ms_dist_from_last_low_pct] => 2.7322404371585
            [ms_bars_since_swing_high] => 17
            [ms_bars_since_swing_low] => 4
            [ms_last_swing_amplitude_pct] => 11.384335154827
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-10-16 07:30:00
                    [1] => 0.1203
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.1222
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 09:30:00
                    [1] => 0.1219
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.1133
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 17:00:00
                    [1] => 0.1108
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 18:00:00
                    [1] => 0.1128
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 19:00:00
                    [1] => 0.1098
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 0.1135
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-16 22:15:00
                    [1] => 0.1111
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 22:45:00
                    [1] => 0.1129
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.088573959255981
            [ms_dist_from_last_low_pct] => 1.5301530153015
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.6201620162016
            [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] => 2025-10-16 19:00:00
                    [1] => 0.1098
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 19:20:00
                    [1] => 0.1117
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 19:40:00
                    [1] => 0.1107
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-16 19:50:00
                    [1] => 0.1107
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 20:45:00
                    [1] => 0.1114
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-16 21:05:00
                    [1] => 0.1135
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-16 22:00:00
                    [1] => 0.1122
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 22:15:00
                    [1] => 0.1111
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 22:25:00
                    [1] => 0.1111
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-16 22:55:00
                    [1] => 0.1129
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.088573959255981
            [ms_dist_from_last_low_pct] => 1.5301530153015
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 1.6201620162016
            [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
-0.09%
Dist From Last Low Pct
1.53%
Bars Since Swing High
1 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
1.62%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.09%
TP to Pivot Distance
0.0018
1.61%
DateTime Price Type
2025-10-16 19:00:00 0.1098 ↓ Low
2025-10-16 19:20:00 0.1117 ↑ High
2025-10-16 19:40:00 0.1107 ↓ Low
2025-10-16 19:50:00 0.1107 ↓ Low
2025-10-16 20:45:00 0.1114 ↓ Low
2025-10-16 21:05:00 0.1135 ↑ High
2025-10-16 22:00:00 0.1122 ↑ High
2025-10-16 22:15:00 0.1111 ↓ Low
2025-10-16 22:25:00 0.1111 ↓ Low
2025-10-16 22:55:00 0.1129 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.09%
Dist From Last Low Pct
1.53%
Bars Since Swing High
1 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.62%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0086
7.57%
TP to Pivot Distance
0.0018
1.61%
DateTime Price Type
2025-10-16 07:30:00 0.1203 ↓ Low
2025-10-16 08:00:00 0.1222 ↑ High
2025-10-16 09:30:00 0.1219 ↑ High
2025-10-16 12:00:00 0.1133 ↓ Low
2025-10-16 17:00:00 0.1108 ↓ Low
2025-10-16 18:00:00 0.1128 ↑ High
2025-10-16 19:00:00 0.1098 ↓ Low
2025-10-16 21:00:00 0.1135 ↑ High
2025-10-16 22:15:00 0.1111 ↓ Low
2025-10-16 22:45:00 0.1129 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-7.77%
Dist From Last Low Pct
2.73%
Bars Since Swing High
17 bars
Bars Since Swing Low
4 bars
Last Swing Amplitude Pct
11.38%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0218
19.19%
TP to Pivot Distance
0.0018
1.61%
DateTime Price Type
2025-10-13 17:00:00 0.1354 ↑ High
2025-10-14 06:00:00 0.1159 ↓ Low
2025-10-14 14:00:00 0.1263 ↑ High
2025-10-14 22:00:00 0.1247 ↑ High
2025-10-15 02:00:00 0.1209 ↓ Low
2025-10-15 04:00:00 0.1268 ↑ High
2025-10-15 16:00:00 0.1148 ↓ Low
2025-10-16 05:00:00 0.115 ↓ Low
2025-10-16 06:00:00 0.1223 ↑ High
2025-10-16 19:00:00 0.1098 ↓ Low

📌 Time Data

Start at Closed at Duration
16 Oct 2025
23:04:00		 17 Oct 2025
01:15:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1129 0.1136 0.1116 1.86 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 0.1129
  • Stop Loss: 0.1136
  • Take Profit: 0.1116

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1136 - 0.1129 = 0.00070000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1129 - 0.1116 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.00070000000000001 = 1.8571

📌 Position Size

Amount Margin Quantity Leverage
1361.8198 100 12062.1773 13.62
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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1129 = 1290.29

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1136

Avec un position size USD de 1290.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.0013 = 14.86

Si Take Profit atteint, tu gagneras 14.86$

Résumé

  • Taille de position 11428.57
  • Taille de position USD 1290.29
  • Perte potentielle 8
  • Gain potentiel 14.86
  • Risk-Reward Ratio 1.8571

📌 Peformances

TP % Target TP $ Target
1.15 % 15.68 $
SL % Target SL $ Target
0.62 % 8.44 $
PNL PNL %
15.68 $ 1.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0886 % 14.29 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1115
            [stop_loss] => 0.1136
            [rr_ratio] => 2
            [closed_at] => 2025-10-17 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.11115
            [stop_loss] => 0.1136
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-17 01:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1108
            [stop_loss] => 0.1136
            [rr_ratio] => 3
            [closed_at] => 2025-10-17 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.11045
            [stop_loss] => 0.1136
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-17 02:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1101
            [stop_loss] => 0.1136
            [rr_ratio] => 4
            [closed_at] => 2025-10-17 02:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.10975
            [stop_loss] => 0.1136
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-17 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1094
            [stop_loss] => 0.1136
            [rr_ratio] => 5
            [closed_at] => 2025-10-17 02:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.10905
            [stop_loss] => 0.1136
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-17 02:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1087
            [stop_loss] => 0.1136
            [rr_ratio] => 6
            [closed_at] => 2025-10-17 02:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.10835
            [stop_loss] => 0.1136
            [rr_ratio] => 6.5
            [closed_at] => 2025-10-17 02:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.108
            [stop_loss] => 0.1136
            [rr_ratio] => 7
            [closed_at] => 2025-10-17 02:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0001
            [rr_ratio] => 10
            [high] => 0.11300000
            [low] => 0.11190000
            [mfe_pct] => 0.89
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 10
            [candles_analyzed] => 24
            [start_at] => 2025-10-16T23:04:00-04:00
            [end_at] => 2025-10-17T01:04:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0111
            [max_drawdown] => 0.0001
            [rr_ratio] => 100
            [high] => 0.11300000
            [low] => 0.10180000
            [mfe_pct] => 9.83
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 111
            [candles_analyzed] => 84
            [start_at] => 2025-10-16T23:04:00-04:00
            [end_at] => 2025-10-17T06:04:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11350000
            [high_after] => 0.11300000
            [low_before] => 0.11000000
            [low_after] => 0.10180000
            [is_new_high] => 
            [is_new_low] => 1
        )

)