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Short Trade on KAS

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Short Trade on KAS 18 Oct 2025 at 23:49:02

Take profit at 0.05028 (0.81 %) and Stop Loss at 0.0509 (0.41 %)

Short Trade on KAS

The 18 Oct 2025 at 23:49:02

With 38823.8756 KAS at 0.05069$ per unit.

Position size of 1967.9823 $

Take profit at 0.05028 (0.81 %) and Stop Loss at 0.0509 (0.41 %)

That's a 1.95 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 6.58
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.5
Prediction 2 Probability
0 0.55
Prediction 3 Probability
1 0.92
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.735655

15m : 0.201559

1H : -0.052351

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.0001373725123
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 0.0504682
  4. ema21 : 0.050746
  5. ema50 : 0.0517949
  6. ema100 : 0.0537641
  7. price_ema9_diff : 0.0043931
  8. ema9_ema21_diff : -0.00547339
  9. ema21_ema50_diff : -0.0202506
  10. price_ema100_diff : -0.0571789
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.116815
  14. ema_slope_21 : -0.127081
  15. ema_slope_50 : -0.140254
  16. ema_slope_100 : -0.141254
  17. rsi : 0.476877
  18. adx : 0.185032
  19. kc_percentage : 0.489279
  20. kc_width_percentage : 0.05383
  21. volume_ema_diff : -0.726567
  22. volume_ema1 : 120126.42706058
  23. volume_ema2 : 439327.84168265
  24. chop : 56.4817
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0503775
  28. ema21 : 0.050361
  29. ema50 : 0.0504912
  30. ema100 : 0.0508114
  31. price_ema9_diff : 0.00620191
  32. ema9_ema21_diff : 0.000327606
  33. ema21_ema50_diff : -0.0025774
  34. price_ema100_diff : -0.00238996
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.00945012
  38. ema_slope_21 : -0.00170887
  39. ema_slope_50 : -0.014247
  40. ema_slope_100 : -0.0204868
  41. rsi : 0.589037
  42. adx : 0.116121
  43. kc_percentage : 0.849131
  44. kc_width_percentage : 0.0186344
  45. volume_ema_diff : -0.308779
  46. volume_ema1 : 28463.54472942
  47. volume_ema2 : 41178.696593478
  48. chop : 57.4007
  49. regime : range_medium
    50. ¸
  50. 5m
  51. ema9 : 0.0503907
  52. ema21 : 0.0503199
  53. ema50 : 0.0503296
  54. ema100 : 0.0503706
  55. price_ema9_diff : 0.00593786
  56. ema9_ema21_diff : 0.00140742
  57. ema21_ema50_diff : -0.000192017
  58. price_ema100_diff : 0.00633949
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0180444
  62. ema_slope_21 : -0.00124836
  63. ema_slope_50 : -0.00508758
  64. ema_slope_100 : -0.00465939
  65. rsi : 0.657866
  66. adx : 0.16468
  67. kc_percentage : 1.13646
  68. kc_width_percentage : 0.0114211
  69. volume_ema_diff : 0.137546
  70. volume_ema1 : 11533.878854191
  71. volume_ema2 : 10139.263063663
  72. chop : 28.2694
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106952
  77. 5m_price_ema100_diff: 
    0.00262419
  78. 5m_price: 
    107233
  79. 5m_correlation_with_coin: 
    0.735655
  80. btc_indicators
  81. 15m_ema100: 
    106890
  82. 15m_price_ema100_diff: 
    0.00321149
  83. 15m_price: 
    107233
  84. 15m_correlation_with_coin: 
    0.201559
  85. btc_indicators
  86. 1H_ema100: 
    108445
  87. 1H_price_ema100_diff: 
    -0.0111732
  88. 1H_price: 
    107233
  89. 1H_correlation_with_coin: 
    -0.052351
    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] => 2025-10-16 05:00:00
                    [1] => 0.05559
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.05896
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-16 16:00:00
                    [1] => 0.05236
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-17 00:00:00
                    [1] => 0.05456
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-17 03:00:00
                    [1] => 0.04777
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-17 17:00:00
                    [1] => 0.05253
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-18 00:00:00
                    [1] => 0.05094
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-18 08:00:00
                    [1] => 0.05246
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-18 11:00:00
                    [1] => 0.04883
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-18 23:00:00
                    [1] => 0.04991
                    [2] => L
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => -3.3358749523446
            [ms_dist_from_last_low_pct] => 1.602885193348
            [ms_bars_since_swing_high] => 15
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 2.2117550686054
            [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] => 2025-10-18 08:15:00
                    [1] => 0.05246
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-18 11:45:00
                    [1] => 0.04883
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-18 15:45:00
                    [1] => 0.05094
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-18 17:00:00
                    [1] => 0.05003
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-18 18:00:00
                    [1] => 0.05076
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-18 20:00:00
                    [1] => 0.05062
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-18 20:30:00
                    [1] => 0.05001
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-18 21:45:00
                    [1] => 0.05055
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-18 23:00:00
                    [1] => 0.04991
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-18 23:45:00
                    [1] => 0.05071
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.602885193348
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 1.602885193348
            [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] => 2025-10-18 17:15:00
                    [1] => 0.05003
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-18 18:05:00
                    [1] => 0.05076
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-18 18:25:00
                    [1] => 0.05076
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-18 19:20:00
                    [1] => 0.05026
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-18 20:00:00
                    [1] => 0.05062
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-18 20:40:00
                    [1] => 0.05001
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-18 21:50:00
                    [1] => 0.05055
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-18 22:20:00
                    [1] => 0.05055
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-18 23:05:00
                    [1] => 0.04991
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-18 23:45:00
                    [1] => 0.05071
                    [2] => H
                )

        )

    [detected_trend] => range
    [features] => Array
        (
            [ms_trend_state] => 0
            [ms_dist_from_last_high_pct] => 0
            [ms_dist_from_last_low_pct] => 1.602885193348
            [ms_bars_since_swing_high] => 0
            [ms_bars_since_swing_low] => 8
            [ms_last_swing_amplitude_pct] => 1.602885193348
            [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
0.00%
Dist From Last Low Pct
1.60%
Bars Since Swing High
0 bars
Bars Since Swing Low
8 bars
Last Swing Amplitude Pct
1.60%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0001
0.28%
TP to Pivot Distance
0.0004
0.74%
DateTime Price Type
2025-10-18 17:15:00 0.05003 ↓ Low
2025-10-18 18:05:00 0.05076 ↑ High
2025-10-18 18:25:00 0.05076 ↑ High
2025-10-18 19:20:00 0.05026 ↓ Low
2025-10-18 20:00:00 0.05062 ↑ High
2025-10-18 20:40:00 0.05001 ↓ Low
2025-10-18 21:50:00 0.05055 ↑ High
2025-10-18 22:20:00 0.05055 ↑ High
2025-10-18 23:05:00 0.04991 ↓ Low
2025-10-18 23:45:00 0.05071 ↑ High
15M - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
0.00%
Dist From Last Low Pct
1.60%
Bars Since Swing High
0 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
1.60%
Bos Up
1
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0016
3.06%
TP to Pivot Distance
0.0015
2.88%
DateTime Price Type
2025-10-18 08:15:00 0.05246 ↑ High
2025-10-18 11:45:00 0.04883 ↓ Low
2025-10-18 15:45:00 0.05094 ↑ High
2025-10-18 17:00:00 0.05003 ↓ Low
2025-10-18 18:00:00 0.05076 ↑ High
2025-10-18 20:00:00 0.05062 ↑ High
2025-10-18 20:30:00 0.05001 ↓ Low
2025-10-18 21:45:00 0.05055 ↑ High
2025-10-18 23:00:00 0.04991 ↓ Low
2025-10-18 23:45:00 0.05071 ↑ High
1H - range

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
0
Dist From Last High Pct
-3.34%
Dist From Last Low Pct
1.60%
Bars Since Swing High
15 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
2.21%
Bos Up
0
Bos Down
0
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0081
15.83%
TP to Pivot Distance
0.0025
4.99%
DateTime Price Type
2025-10-16 05:00:00 0.05559 ↓ Low
2025-10-16 08:00:00 0.05896 ↑ High
2025-10-16 16:00:00 0.05236 ↓ Low
2025-10-17 00:00:00 0.05456 ↑ High
2025-10-17 03:00:00 0.04777 ↓ Low
2025-10-17 17:00:00 0.05253 ↑ High
2025-10-18 00:00:00 0.05094 ↓ Low
2025-10-18 08:00:00 0.05246 ↑ High
2025-10-18 11:00:00 0.04883 ↓ Low
2025-10-18 23:00:00 0.04991 ↓ Low

📌 Time Data

Start at Closed at Duration
18 Oct 2025
23:49:02		 19 Oct 2025
00:40:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.05069 0.0509 0.05028 1.95 0.02973
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 0.05069
  • Stop Loss: 0.0509
  • Take Profit: 0.05028

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0509 - 0.05069 = 0.00021

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.05069 - 0.05028 = 0.00041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00041 / 0.00021 = 1.9524

📌 Position Size

Amount Margin Quantity Leverage
1967.9823 100 38823.8756 19.68
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 0.00021

Taille de position = 8 / 0.00021 = 38095.24

Taille de position USD = 38095.24 x 0.05069 = 1931.05

Donc, tu peux acheter 38095.24 avec un stoploss a 0.0509

Avec un position size USD de 1931.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 38095.24 x 0.00021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 38095.24 x 0.00041 = 15.62

Si Take Profit atteint, tu gagneras 15.62$

Résumé

  • Taille de position 38095.24
  • Taille de position USD 1931.05
  • Perte potentielle 8
  • Gain potentiel 15.62
  • Risk-Reward Ratio 1.9524

📌 Peformances

TP % Target TP $ Target
0.81 % 15.92 $
SL % Target SL $ Target
0.41 % 8.15 $
PNL PNL %
15.92 $ 0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1775 % 42.84 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.05027
            [stop_loss] => 0.0509
            [rr_ratio] => 2
            [closed_at] => 2025-10-19 00:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.050165
            [stop_loss] => 0.0509
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-19 02:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.05006
            [stop_loss] => 0.0509
            [rr_ratio] => 3
            [closed_at] => 2025-10-19 03:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.049955
            [stop_loss] => 0.0509
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-19 04:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.04985
            [stop_loss] => 0.0509
            [rr_ratio] => 4
            [closed_at] => 2025-10-19 04:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.049745
            [stop_loss] => 0.0509
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-19 04:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.04964
            [stop_loss] => 0.0509
            [rr_ratio] => 5
            [closed_at] => 2025-10-19 05:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.049535
            [stop_loss] => 0.0509
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-19 05:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.04943
            [stop_loss] => 0.0509
            [rr_ratio] => 6
            [closed_at] => 2025-10-19 05:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00044
            [max_drawdown] => 9.0E-5
            [rr_ratio] => 4.89
            [high] => 0.05078000
            [low] => 0.05025000
            [mfe_pct] => 0.87
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 4.89
            [candles_analyzed] => 24
            [start_at] => 2025-10-18T23:49:02-04:00
            [end_at] => 2025-10-19T01:49:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00129
            [max_drawdown] => 0.00116
            [rr_ratio] => 1.11
            [high] => 0.05185000
            [low] => 0.04940000
            [mfe_pct] => 2.54
            [mae_pct] => 2.29
            [mfe_mae_ratio] => 1.11
            [candles_analyzed] => 84
            [start_at] => 2025-10-18T23:49:02-04:00
            [end_at] => 2025-10-19T06:49:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05071000
            [high_after] => 0.05080000
            [low_before] => 0.04991000
            [low_after] => 0.04940000
            [is_new_high] => 
            [is_new_low] => 1
        )

)