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Long Trade on ARC

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Long Trade on ARC 26 Sep 2025 at 15:07:25

Take profit at 0.02119 (2.42 %) and Stop Loss at 0.02044 (1.21 %)

Long Trade on ARC

The 26 Sep 2025 at 15:07:25

With 32005.86 ARC at 0.02069$ per unit.

Position size of 662.2012 $

Take profit at 0.02119 (2.42 %) and Stop Loss at 0.02044 (1.21 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 1.43
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.59
Prediction 3 Probability
0 0.83
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : range_high

5m_regime : bear_high
BTC Correlation Score

5m : 0.358179

15m : -0.161143

1H : -0.043122

 0

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.44
  4. atr: 0.0001666361515
Details
  1. score: 2.44
  2. 1H
  3. ema9 : 0.0210069
  4. ema21 : 0.020488
  5. ema50 : 0.0195905
  6. ema100 : 0.0186838
  7. price_ema9_diff : -0.0150894
  8. ema9_ema21_diff : 0.0253284
  9. ema21_ema50_diff : 0.0458138
  10. price_ema100_diff : 0.107375
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.563122
  14. ema_slope_21 : 0.470031
  15. ema_slope_50 : 0.36435
  16. ema_slope_100 : 0.275767
  17. rsi : 0.543099
  18. adx : 0.315896
  19. kc_percentage : 0.554994
  20. kc_width_percentage : 0.142535
  21. volume_ema_diff : -0.103692
  22. volume_ema1 : 327276.32000723
  23. volume_ema2 : 365138.36231001
  24. chop : 39.7192
  25. regime : bull_high
    26. ¸
  26. 15m
  27. ema9 : 0.0213124
  28. ema21 : 0.0213045
  29. ema50 : 0.0208898
  30. ema100 : 0.0204138
  31. price_ema9_diff : -0.0292076
  32. ema9_ema21_diff : 0.000371731
  33. ema21_ema50_diff : 0.0198541
  34. price_ema100_diff : 0.013529
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00970034
  38. ema_slope_21 : 0.103826
  39. ema_slope_50 : 0.146359
  40. ema_slope_100 : 0.121033
  41. rsi : 0.383734
  42. adx : 0.458111
  43. kc_percentage : 0.0464992
  44. kc_width_percentage : 0.0667178
  45. volume_ema_diff : 0.343871
  46. volume_ema1 : 137363.25657937
  47. volume_ema2 : 102214.55073467
  48. chop : 45.5912
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 0.0211305
  52. ema21 : 0.0213499
  53. ema50 : 0.0213935
  54. ema100 : 0.0211422
  55. price_ema9_diff : -0.0208493
  56. ema9_ema21_diff : -0.0102757
  57. ema21_ema50_diff : -0.00203646
  58. price_ema100_diff : -0.021391
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.195338
  62. ema_slope_21 : -0.108508
  63. ema_slope_50 : -0.0282772
  64. ema_slope_100 : 0.0164404
  65. rsi : 0.216301
  66. adx : 0.265763
  67. kc_percentage : -0.437826
  68. kc_width_percentage : 0.0335049
  69. volume_ema_diff : 1.16362
  70. volume_ema1 : 76602.539839477
  71. volume_ema2 : 35404.728716193
  72. chop : 13.1489
  73. regime : bear_high
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109387
  77. 5m_price_ema100_diff: 
    0.000501795
  78. 5m_price: 
    109442
  79. 5m_correlation_with_coin: 
    0.358179
  80. btc_indicators
  81. 15m_ema100: 
    109363
  82. 15m_price_ema100_diff: 
    0.000721931
  83. 15m_price: 
    109442
  84. 15m_correlation_with_coin: 
    -0.161143
  85. btc_indicators
  86. 1H_ema100: 
    111117
  87. 1H_price_ema100_diff: 
    -0.0150798
  88. 1H_price: 
    109442
  89. 1H_correlation_with_coin: 
    -0.043122
    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] => 2025-09-24 10:00:00
                    [1] => 0.01872
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-24 17:00:00
                    [1] => 0.01765
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-25 00:00:00
                    [1] => 0.02058
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-09-25 02:00:00
                    [1] => 0.02058
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-25 08:00:00
                    [1] => 0.01724
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-25 18:00:00
                    [1] => 0.02069
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-25 22:00:00
                    [1] => 0.01916
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-09-26 06:00:00
                    [1] => 0.01936
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 10:00:00
                    [1] => 0.02267
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 15:00:00
                    [1] => 0.02041
                    [2] => L
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -8.9104543449493
            [ms_dist_from_last_low_pct] => 1.1758941695247
            [ms_bars_since_swing_high] => 5
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 11.073003429691
            [ms_bos_up] => 1
            [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] => 2025-09-25 20:00:00
                    [1] => 0.02059
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-25 22:45:00
                    [1] => 0.01916
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-09-26 01:00:00
                    [1] => 0.01937
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-26 02:30:00
                    [1] => 0.02019
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-09-26 03:30:00
                    [1] => 0.01954
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-09-26 06:15:00
                    [1] => 0.01936
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-09-26 10:15:00
                    [1] => 0.02267
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-26 11:45:00
                    [1] => 0.02095
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 13:00:00
                    [1] => 0.02194
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 15:00:00
                    [1] => 0.02041
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -5.8796718322698
            [ms_dist_from_last_low_pct] => 1.1758941695247
            [ms_bars_since_swing_high] => 8
            [ms_bars_since_swing_low] => 0
            [ms_last_swing_amplitude_pct] => 7.4963253307202
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 1
        )

)
  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] => 2025-09-26 08:35:00
                    [1] => 0.02151
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-09-26 10:15:00
                    [1] => 0.02267
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-09-26 10:30:00
                    [1] => 0.02101
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-09-26 11:45:00
                    [1] => 0.02095
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-09-26 12:15:00
                    [1] => 0.02185
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-09-26 13:00:00
                    [1] => 0.02194
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-09-26 13:25:00
                    [1] => 0.02194
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-09-26 13:55:00
                    [1] => 0.02148
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-09-26 14:05:00
                    [1] => 0.02179
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-09-26 15:00:00
                    [1] => 0.02041
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -5.2317576870124
            [ms_dist_from_last_low_pct] => 1.1758941695247
            [ms_bars_since_swing_high] => 12
            [ms_bars_since_swing_low] => 1
            [ms_last_swing_amplitude_pct] => 6.7613914747673
            [ms_bos_up] => 0
            [ms_bos_down] => 1
            [ms_choch_up] => 0
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 1

5M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-5.23%
Dist From Last Low Pct
1.18%
Bars Since Swing High
12 bars
Bars Since Swing Low
1 bars
Last Swing Amplitude Pct
6.76%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-26 08:35:00 0.02151 ↑ High
2025-09-26 10:15:00 0.02267 ↑ High
2025-09-26 10:30:00 0.02101 ↓ Low
2025-09-26 11:45:00 0.02095 ↓ Low
2025-09-26 12:15:00 0.02185 ↑ High
2025-09-26 13:00:00 0.02194 ↑ High
2025-09-26 13:25:00 0.02194 ↑ High
2025-09-26 13:55:00 0.02148 ↓ Low
2025-09-26 14:05:00 0.02179 ↑ High
2025-09-26 15:00:00 0.02041 ↓ Low
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-5.88%
Dist From Last Low Pct
1.18%
Bars Since Swing High
8 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
7.50%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1
DateTime Price Type
2025-09-25 20:00:00 0.02059 ↑ High
2025-09-25 22:45:00 0.01916 ↓ Low
2025-09-26 01:00:00 0.01937 ↓ Low
2025-09-26 02:30:00 0.02019 ↑ High
2025-09-26 03:30:00 0.01954 ↓ Low
2025-09-26 06:15:00 0.01936 ↓ Low
2025-09-26 10:15:00 0.02267 ↑ High
2025-09-26 11:45:00 0.02095 ↓ Low
2025-09-26 13:00:00 0.02194 ↑ High
2025-09-26 15:00:00 0.02041 ↓ Low
1H - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-8.91%
Dist From Last Low Pct
1.18%
Bars Since Swing High
5 bars
Bars Since Swing Low
0 bars
Last Swing Amplitude Pct
11.07%
Bos Up
1
Bos Down
0
Choch Up
0
Choch Down
0
DateTime Price Type
2025-09-24 10:00:00 0.01872 ↑ High
2025-09-24 17:00:00 0.01765 ↓ Low
2025-09-25 00:00:00 0.02058 ↑ High
2025-09-25 02:00:00 0.02058 ↑ High
2025-09-25 08:00:00 0.01724 ↓ Low
2025-09-25 18:00:00 0.02069 ↑ High
2025-09-25 22:00:00 0.01916 ↓ Low
2025-09-26 06:00:00 0.01936 ↓ Low
2025-09-26 10:00:00 0.02267 ↑ High
2025-09-26 15:00:00 0.02041 ↓ Low

📌 Time Data

Start at Closed at Duration
26 Sep 2025
15:07:25		 26 Sep 2025
15:30:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02069 0.02044 0.02119 2 0.05052
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 0.02069
  • Stop Loss: 0.02044
  • Take Profit: 0.02119

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02044 - 0.02069 = -0.00025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02069 - 0.02119 = -0.0005

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0005 / -0.00025 = 2

📌 Position Size

Amount Margin Quantity Leverage
662.2012 100 32005.86 6.62
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 -0.00025

Taille de position = 8 / -0.00025 = -32000

Taille de position USD = -32000 x 0.02069 = -662.08

Donc, tu peux acheter -32000 avec un stoploss a 0.02044

Avec un position size USD de -662.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -32000 x -0.00025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -32000 x -0.0005 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position -32000
  • Taille de position USD -662.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
2.42 % 16 $
SL % Target SL $ Target
1.21 % 8 $
PNL PNL %
-8 $ -1.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.2083 % 100 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 5.0000000000001E-5
            [max_drawdown] => 0.00025
            [rr_ratio] => 0.2
            [high] => 0.02074000
            [low] => 0.02044000
            [mfe_pct] => 0.24
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T15:07:25-04:00
            [end_at] => 2025-09-26T17:07:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00053
            [max_drawdown] => 0.00025
            [rr_ratio] => 2.12
            [high] => 0.02122000
            [low] => 0.02044000
            [mfe_pct] => 2.56
            [mae_pct] => 1.21
            [mfe_mae_ratio] => 2.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T15:07:25-04:00
            [end_at] => 2025-09-26T22:07:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02194000
            [high_after] => 0.02108000
            [low_before] => 0.02041000
            [low_after] => 0.02044000
            [is_new_high] => 
            [is_new_low] => 
        )

)