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Short Trade on ICP

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Short Trade on ICP 17 Oct 2025 at 20:26:29

Take profit at 3.0012 (0.72 %) and Stop Loss at 3.0339 (0.36 %)

Short Trade on ICP

The 17 Oct 2025 at 20:26:29

With 733.255 ICP at 3.023$ per unit.

Position size of 2216.6298 $

Take profit at 3.0012 (0.72 %) and Stop Loss at 3.0339 (0.36 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.16
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.96
Prediction 2 Probability
0 0.92
Prediction 3 Probability
0 0.78
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : bull_low
BTC Correlation Score

5m : 0.712914

15m : -0.077832

1H : 0.106421

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.007273504581
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 3.00407
  4. ema21 : 3.02864
  5. ema50 : 3.13498
  6. ema100 : 3.27843
  7. price_ema9_diff : 0.00630119
  8. ema9_ema21_diff : -0.00811448
  9. ema21_ema50_diff : -0.0339196
  10. price_ema100_diff : -0.0779144
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0695728
  14. ema_slope_21 : -0.183189
  15. ema_slope_50 : -0.223483
  16. ema_slope_100 : -0.191514
  17. rsi : 0.46026
  18. adx : 0.369879
  19. kc_percentage : 0.488131
  20. kc_width_percentage : 0.0665181
  21. volume_ema_diff : -0.698424
  22. volume_ema1 : 103489.26176538
  23. volume_ema2 : 343162.07437631
  24. chop : 57.9861
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 3.0034
  28. ema21 : 2.99912
  29. ema50 : 3.00117
  30. ema100 : 3.024
  31. price_ema9_diff : 0.00652321
  32. ema9_ema21_diff : 0.00142753
  33. ema21_ema50_diff : -0.000683677
  34. price_ema100_diff : -0.000333175
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0100359
  38. ema_slope_21 : 0.0295935
  39. ema_slope_50 : 0.00598248
  40. ema_slope_100 : -0.0142246
  41. rsi : 0.561438
  42. adx : 0.124536
  43. kc_percentage : 0.888552
  44. kc_width_percentage : 0.0200496
  45. volume_ema_diff : -0.654037
  46. volume_ema1 : 19708.393924058
  47. volume_ema2 : 56966.881402192
  48. chop : 66.554
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 3.00796
  52. ema21 : 3.00393
  53. ema50 : 3.00032
  54. ema100 : 2.99533
  55. price_ema9_diff : 0.00499897
  56. ema9_ema21_diff : 0.00134056
  57. ema21_ema50_diff : 0.00120414
  58. price_ema100_diff : 0.00923753
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0338765
  62. ema_slope_21 : 0.00948589
  63. ema_slope_50 : 0.00631414
  64. ema_slope_100 : 0.00614023
  65. rsi : 0.682023
  66. adx : 0.192627
  67. kc_percentage : 1.1438
  68. kc_width_percentage : 0.00973054
  69. volume_ema_diff : -0.0929615
  70. volume_ema1 : 8510.5312464589
  71. volume_ema2 : 9382.7683657597
  72. chop : 32.2576
  73. regime : bull_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106771
  77. 5m_price_ema100_diff: 
    -0.00149855
  78. 5m_price: 
    106611
  79. 5m_correlation_with_coin: 
    0.712914
  80. btc_indicators
  81. 15m_ema100: 
    106739
  82. 15m_price_ema100_diff: 
    -0.00297674
  83. 15m_price: 
    106422
  84. 15m_correlation_with_coin: 
    -0.077832
  85. btc_indicators
  86. 1H_ema100: 
    109893
  87. 1H_price_ema100_diff: 
    -0.0298616
  88. 1H_price: 
    106611
  89. 1H_correlation_with_coin: 
    0.106421
    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] => 2025-10-15 04:00:00
                    [1] => 3.56
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 16:00:00
                    [1] => 3.268
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-15 22:00:00
                    [1] => 3.368
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-16 05:00:00
                    [1] => 3.243
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 3.407
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 3.095
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 3.171
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 04:00:00
                    [1] => 2.881
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 13:00:00
                    [1] => 2.905
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 17:00:00
                    [1] => 3.035
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.46128500823724
            [ms_dist_from_last_low_pct] => 3.9931153184165
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 7
            [ms_last_swing_amplitude_pct] => 4.4750430292599
            [ms_bos_up] => 0
            [ms_bos_down] => 0
            [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] => 2025-10-17 04:15:00
                    [1] => 2.881
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-17 05:30:00
                    [1] => 3.029
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 07:15:00
                    [1] => 3.098
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 10:30:00
                    [1] => 2.965
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-17 12:00:00
                    [1] => 3.035
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 13:15:00
                    [1] => 2.905
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-17 14:30:00
                    [1] => 2.992
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 17:15:00
                    [1] => 3.035
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 19:30:00
                    [1] => 2.983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 20:15:00
                    [1] => 3.023
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.066159444260676
            [ms_dist_from_last_low_pct] => 1.2738853503185
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.3409319477037
            [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] => 2025-10-17 14:35:00
                    [1] => 2.992
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 14:55:00
                    [1] => 2.962
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-17 15:20:00
                    [1] => 2.987
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 15:35:00
                    [1] => 2.956
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-17 17:15:00
                    [1] => 3.035
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 17:55:00
                    [1] => 3.026
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-17 18:35:00
                    [1] => 2.996
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-17 19:00:00
                    [1] => 3.005
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 19:30:00
                    [1] => 2.983
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 20:25:00
                    [1] => 3.023
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.066159444260676
            [ms_dist_from_last_low_pct] => 1.2738853503185
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 11
            [ms_last_swing_amplitude_pct] => 1.3409319477037
            [ms_bos_up] => 1
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 0

5M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.07%
Dist From Last Low Pct
1.27%
Bars Since Swing High
0 bars
Bars Since Swing Low
11 bars
Last Swing Amplitude Pct
1.34%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0011
0.04%
TP to Pivot Distance
0.0452
1.51%
DateTime Price Type
2025-10-17 14:35:00 2.992 ↑ High
2025-10-17 14:55:00 2.962 ↓ Low
2025-10-17 15:20:00 2.987 ↑ High
2025-10-17 15:35:00 2.956 ↓ Low
2025-10-17 17:15:00 3.035 ↑ High
2025-10-17 17:55:00 3.026 ↑ High
2025-10-17 18:35:00 2.996 ↓ Low
2025-10-17 19:00:00 3.005 ↑ High
2025-10-17 19:30:00 2.983 ↓ Low
2025-10-17 20:25:00 3.023 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.07%
Dist From Last Low Pct
1.27%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.34%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0641
2.11%
TP to Pivot Distance
0.1202
4.01%
DateTime Price Type
2025-10-17 04:15:00 2.881 ↓ Low
2025-10-17 05:30:00 3.029 ↑ High
2025-10-17 07:15:00 3.098 ↑ High
2025-10-17 10:30:00 2.965 ↓ Low
2025-10-17 12:00:00 3.035 ↑ High
2025-10-17 13:15:00 2.905 ↓ Low
2025-10-17 14:30:00 2.992 ↑ High
2025-10-17 17:15:00 3.035 ↑ High
2025-10-17 19:30:00 2.983 ↓ Low
2025-10-17 20:15:00 3.023 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.46%
Dist From Last Low Pct
3.99%
Bars Since Swing High
3 bars
Bars Since Swing Low
7 bars
Last Swing Amplitude Pct
4.48%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.5261
17.34%
TP to Pivot Distance
0.1202
4.01%
DateTime Price Type
2025-10-15 04:00:00 3.56 ↑ High
2025-10-15 16:00:00 3.268 ↓ Low
2025-10-15 22:00:00 3.368 ↑ High
2025-10-16 05:00:00 3.243 ↓ Low
2025-10-16 08:00:00 3.407 ↑ High
2025-10-16 16:00:00 3.095 ↓ Low
2025-10-16 21:00:00 3.171 ↑ High
2025-10-17 04:00:00 2.881 ↓ Low
2025-10-17 13:00:00 2.905 ↓ Low
2025-10-17 17:00:00 3.035 ↑ High

📌 Time Data

Start at Closed at Duration
17 Oct 2025
20:26:29		 17 Oct 2025
20:45:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.023 3.0339 3.0012 2 2.372
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 3.023
  • Stop Loss: 3.0339
  • Take Profit: 3.0012

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.0339 - 3.023 = 0.0109

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.023 - 3.0012 = 0.0218

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0218 / 0.0109 = 2

📌 Position Size

Amount Margin Quantity Leverage
2216.6298 100 733.255 22.17
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 0.0109

Taille de position = 8 / 0.0109 = 733.94

Taille de position USD = 733.94 x 3.023 = 2218.7

Donc, tu peux acheter 733.94 avec un stoploss a 3.0339

Avec un position size USD de 2218.7$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 733.94 x 0.0109 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 733.94 x 0.0218 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 733.94
  • Taille de position USD 2218.7
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.72 % 15.98 $
SL % Target SL $ Target
0.36 % 7.99 $
PNL PNL %
-7.99 $ -0.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5293 % 146.78 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.0012
            [entry_price] => 3.023
            [stop_loss] => 3.03499
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.0012
            [entry_price] => 3.023
            [stop_loss] => 3.03608
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.0012
            [entry_price] => 3.023
            [stop_loss] => 3.03717
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.0012
            [entry_price] => 3.023
            [stop_loss] => 3.03935
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-17 21:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0070000000000001
            [max_drawdown] => 0.06
            [rr_ratio] => 0.12
            [high] => 3.08300000
            [low] => 3.01600000
            [mfe_pct] => 0.23
            [mae_pct] => 1.98
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T20:26:29-04:00
            [end_at] => 2025-10-17T22:26:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0070000000000001
            [max_drawdown] => 0.072
            [rr_ratio] => 0.1
            [high] => 3.09500000
            [low] => 3.01600000
            [mfe_pct] => 0.23
            [mae_pct] => 2.38
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T20:26:29-04:00
            [end_at] => 2025-10-18T03:26:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.03500000
            [high_after] => 3.08300000
            [low_before] => 2.98300000
            [low_after] => 3.01600000
            [is_new_high] => 
            [is_new_low] => 
        )

)