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Short Trade on ICP

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Short Trade on ICP 17 Oct 2025 at 16:39:40

Take profit at 2.9811 (1.12 %) and Stop Loss at 3.0319 (0.56 %)

Short Trade on ICP

The 17 Oct 2025 at 16:39:40

With 472.553 ICP at 3.015$ per unit.

Position size of 1424.7473 $

Take profit at 2.9811 (1.12 %) and Stop Loss at 3.0319 (0.56 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.04
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.99
Prediction 2 Probability
0 0.91
Prediction 3 Probability
0 0.96
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.780691

15m : 0.05741

1H : 0.124706

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 0.01128621222
Details
  1. score: 1.24
  2. 1H
  3. ema9 : 2.99059
  4. ema21 : 3.03595
  5. ema50 : 3.15457
  6. ema100 : 3.28899
  7. price_ema9_diff : 0.0081615
  8. ema9_ema21_diff : -0.0149416
  9. ema21_ema50_diff : -0.0376026
  10. price_ema100_diff : -0.0833058
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.156528
  14. ema_slope_21 : -0.262749
  15. ema_slope_50 : -0.256528
  16. ema_slope_100 : -0.198682
  17. rsi : 0.440879
  18. adx : 0.430749
  19. kc_percentage : 0.433997
  20. kc_width_percentage : 0.0830518
  21. volume_ema_diff : -0.373984
  22. volume_ema1 : 244202.7690838
  23. volume_ema2 : 390090.60854426
  24. chop : 54.5088
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 2.98224
  28. ema21 : 2.97878
  29. ema50 : 2.99693
  30. ema100 : 3.03174
  31. price_ema9_diff : 0.0109836
  32. ema9_ema21_diff : 0.00116112
  33. ema21_ema50_diff : -0.00605649
  34. price_ema100_diff : -0.00552466
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0784645
  38. ema_slope_21 : 0.00312827
  39. ema_slope_50 : -0.0340132
  40. ema_slope_100 : -0.041238
  41. rsi : 0.565546
  42. adx : 0.115979
  43. kc_percentage : 0.877411
  44. kc_width_percentage : 0.032036
  45. volume_ema_diff : -0.570055
  46. volume_ema1 : 38271.600203963
  47. volume_ema2 : 89015.250816933
  48. chop : 54.385
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 2.99341
  52. ema21 : 2.98225
  53. ema50 : 2.97743
  54. ema100 : 2.98774
  55. price_ema9_diff : 0.00721246
  56. ema9_ema21_diff : 0.00373917
  57. ema21_ema50_diff : 0.00161989
  58. price_ema100_diff : 0.00912375
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0666709
  62. ema_slope_21 : 0.0411478
  63. ema_slope_50 : 0.0153468
  64. ema_slope_100 : -0.00183243
  65. rsi : 0.708352
  66. adx : 0.244815
  67. kc_percentage : 1.23933
  68. kc_width_percentage : 0.0144221
  69. volume_ema_diff : -0.585319
  70. volume_ema1 : 9013.1871347985
  71. volume_ema2 : 21735.257372406
  72. chop : 37.684
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106290
  77. 5m_price_ema100_diff: 
    0.0069761
  78. 5m_price: 
    107032
  79. 5m_correlation_with_coin: 
    0.780691
  80. btc_indicators
  81. 15m_ema100: 
    106730
  82. 15m_price_ema100_diff: 
    0.00203049
  83. 15m_price: 
    106947
  84. 15m_correlation_with_coin: 
    0.05741
  85. btc_indicators
  86. 1H_ema100: 
    110061
  87. 1H_price_ema100_diff: 
    -0.0275191
  88. 1H_price: 
    107032
  89. 1H_correlation_with_coin: 
    0.124706
    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] => 2025-10-14 12:00:00
                    [1] => 3.602
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-15 04:00:00
                    [1] => 3.56
                    [2] => H
                )

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

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

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

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

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

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

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

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

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -5.0457269000315
            [ms_dist_from_last_low_pct] => 3.6488812392427
            [ms_bars_since_swing_high] => 19
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 0.833044081916
            [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] => 2025-10-16 23:45:00
                    [1] => 3.137
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 01:30:00
                    [1] => 3.145
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 04:15:00
                    [1] => 2.881
                    [2] => L
                )

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

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

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

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-17 16:30:00
                    [1] => 3.015
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.13266998341625
            [ms_dist_from_last_low_pct] => 3.6488812392427
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 13
            [ms_last_swing_amplitude_pct] => 0.76871657754011
            [ms_bos_up] => 1
            [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] => 2025-10-17 10:35:00
                    [1] => 2.965
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-17 10:45:00
                    [1] => 3.028
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 11:35:00
                    [1] => 2.969
                    [2] => L
                )

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

            [4] => Array
                (
                    [0] => 2025-10-17 13:20:00
                    [1] => 2.905
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-17 14:35:00
                    [1] => 2.992
                    [2] => H
                )

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

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

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

            [9] => Array
                (
                    [0] => 2025-10-17 16:35:00
                    [1] => 3.015
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -0.13266998341625
            [ms_dist_from_last_low_pct] => 1.8606224627876
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 12
            [ms_last_swing_amplitude_pct] => 1.9959404600812
            [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
-0.13%
Dist From Last Low Pct
1.86%
Bars Since Swing High
0 bars
Bars Since Swing Low
12 bars
Last Swing Amplitude Pct
2.00%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0031
0.10%
TP to Pivot Distance
0.0761
2.55%
DateTime Price Type
2025-10-17 10:35:00 2.965 ↓ Low
2025-10-17 10:45:00 3.028 ↑ High
2025-10-17 11:35:00 2.969 ↓ Low
2025-10-17 12:00:00 3.035 ↑ High
2025-10-17 13:20:00 2.905 ↓ Low
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 16:35:00 3.015 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-0.13%
Dist From Last Low Pct
3.65%
Bars Since Swing High
0 bars
Bars Since Swing Low
13 bars
Last Swing Amplitude Pct
0.77%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.1131
3.73%
TP to Pivot Distance
0.1001
3.36%
DateTime Price Type
2025-10-16 23:45:00 3.137 ↑ High
2025-10-17 01:30:00 3.145 ↑ High
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 16:30:00 3.015 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-5.05%
Dist From Last Low Pct
3.65%
Bars Since Swing High
19 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
0.83%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.5701
18.80%
TP to Pivot Distance
0.1001
3.36%
DateTime Price Type
2025-10-14 12:00:00 3.602 ↑ High
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

📌 Time Data

Start at Closed at Duration
17 Oct 2025
16:39:40		 17 Oct 2025
17:05:00		 25 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.015 3.0319 2.9811 2.01 2.379
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 3.015
  • Stop Loss: 3.0319
  • Take Profit: 2.9811

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.0319 - 3.015 = 0.0169

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.015 - 2.9811 = 0.0339

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0339 / 0.0169 = 2.0059

📌 Position Size

Amount Margin Quantity Leverage
1424.7473 100 472.553 14.25
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 0.0169

Taille de position = 8 / 0.0169 = 473.37

Taille de position USD = 473.37 x 3.015 = 1427.21

Donc, tu peux acheter 473.37 avec un stoploss a 3.0319

Avec un position size USD de 1427.21$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 473.37 x 0.0169 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 473.37 x 0.0339 = 16.05

Si Take Profit atteint, tu gagneras 16.05$

Résumé

  • Taille de position 473.37
  • Taille de position USD 1427.21
  • Perte potentielle 8
  • Gain potentiel 16.05
  • Risk-Reward Ratio 2.0059

📌 Peformances

TP % Target TP $ Target
1.12 % 16.02 $
SL % Target SL $ Target
0.56 % 7.99 $
PNL PNL %
-7.99 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.597 % 106.51 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.9811
            [entry_price] => 3.015
            [stop_loss] => 3.03359
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-17 17:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.9811
            [entry_price] => 3.015
            [stop_loss] => 3.03528
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-17 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.9811
            [entry_price] => 3.015
            [stop_loss] => 3.03697
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-17 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.9811
            [entry_price] => 3.015
            [stop_loss] => 3.04035
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-17 21:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.019
            [max_drawdown] => 0.02
            [rr_ratio] => 0.95
            [high] => 3.03500000
            [low] => 2.99600000
            [mfe_pct] => 0.63
            [mae_pct] => 0.66
            [mfe_mae_ratio] => 0.95
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T16:39:40-04:00
            [end_at] => 2025-10-17T18:39:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.068
            [rr_ratio] => 0.47
            [high] => 3.08300000
            [low] => 2.98300000
            [mfe_pct] => 1.06
            [mae_pct] => 2.26
            [mfe_mae_ratio] => 0.47
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T16:39:40-04:00
            [end_at] => 2025-10-17T23:39:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.01500000
            [high_after] => 3.08300000
            [low_before] => 2.90500000
            [low_after] => 2.98300000
            [is_new_high] => 
            [is_new_low] => 
        )

)