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Short Trade on ARPA

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Short Trade on ARPA 17 Oct 2025 at 18:02:34

Take profit at 0.02073 (1.38 %) and Stop Loss at 0.02116 (0.67 %)

Short Trade on ARPA

The 17 Oct 2025 at 18:02:34

With 56031.9276 ARPA at 0.02102$ per unit.

Position size of 1177.7911 $

Take profit at 0.02073 (1.38 %) and Stop Loss at 0.02116 (0.67 %)

That's a 2.07 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 8
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.93
Prediction 3 Probability
0 0.87
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium
BTC Correlation Score

5m : 0.631705

15m : 0.219995

1H : 0.195247

 1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 9.518382761E-5
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 0.020863
  4. ema21 : 0.0212016
  5. ema50 : 0.0213175
  6. ema100 : 0.0210331
  7. price_ema9_diff : 0.00752449
  8. ema9_ema21_diff : -0.0159703
  9. ema21_ema50_diff : -0.00543925
  10. price_ema100_diff : -0.000623582
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.384788
  14. ema_slope_21 : -0.295846
  15. ema_slope_50 : -0.1042
  16. ema_slope_100 : -0.0144798
  17. rsi : 0.470168
  18. adx : 0.1617
  19. kc_percentage : 0.433532
  20. kc_width_percentage : 0.115917
  21. volume_ema_diff : -0.879518
  22. volume_ema1 : 52507.056831299
  23. volume_ema2 : 435811.26092727
  24. chop : 69.4636
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.0208106
  28. ema21 : 0.0207109
  29. ema50 : 0.0209714
  30. ema100 : 0.0213772
  31. price_ema9_diff : 0.0100581
  32. ema9_ema21_diff : 0.0048157
  33. ema21_ema50_diff : -0.0124213
  34. price_ema100_diff : -0.0167108
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.170168
  38. ema_slope_21 : 0.0154316
  39. ema_slope_50 : -0.0726374
  40. ema_slope_100 : -0.07608
  41. rsi : 0.599493
  42. adx : 0.222053
  43. kc_percentage : 0.904626
  44. kc_width_percentage : 0.0365686
  45. volume_ema_diff : -0.691416
  46. volume_ema1 : 11872.199004144
  47. volume_ema2 : 38473.193086718
  48. chop : 45.3378
  49. regime : bear_high
    50. ¸
  50. 5m
  51. ema9 : 0.020973
  52. ema21 : 0.0208117
  53. ema50 : 0.0206717
  54. ema100 : 0.020736
  55. price_ema9_diff : 0.00223988
  56. ema9_ema21_diff : 0.00774975
  57. ema21_ema50_diff : 0.00677237
  58. price_ema100_diff : 0.0136921
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.184621
  62. ema_slope_21 : 0.15146
  63. ema_slope_50 : 0.0757583
  64. ema_slope_100 : 0.0255291
  65. rsi : 0.710996
  66. adx : 0.399476
  67. kc_percentage : 1.04125
  68. kc_width_percentage : 0.0173186
  69. volume_ema_diff : -0.293058
  70. volume_ema1 : 3997.6795683206
  71. volume_ema2 : 5654.8945990156
  72. chop : 33.6854
  73. regime : bull_medium
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    106516
  77. 5m_price_ema100_diff: 
    0.00680067
  78. 5m_price: 
    107240
  79. 5m_correlation_with_coin: 
    0.631705
  80. btc_indicators
  81. 15m_ema100: 
    106778
  82. 15m_price_ema100_diff: 
    0.00433452
  83. 15m_price: 
    107240
  84. 15m_correlation_with_coin: 
    0.219995
  85. btc_indicators
  86. 1H_ema100: 
    110049
  87. 1H_price_ema100_diff: 
    -0.0255174
  88. 1H_price: 
    107240
  89. 1H_correlation_with_coin: 
    0.195247
    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 06:00:00
                    [1] => 0.01842
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-14 11:00:00
                    [1] => 0.02379
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-14 15:00:00
                    [1] => 0.02058
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-14 19:00:00
                    [1] => 0.02279
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-15 02:00:00
                    [1] => 0.02017
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-15 22:00:00
                    [1] => 0.0192
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-16 08:00:00
                    [1] => 0.02446
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-16 12:00:00
                    [1] => 0.02045
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-16 21:00:00
                    [1] => 0.0239
                    [2] => H
                )

            [9] => Array
                (
                    [0] => 2025-10-17 15:00:00
                    [1] => 0.02009
                    [2] => L
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -12.301255230126
            [ms_dist_from_last_low_pct] => 4.330512692882
            [ms_bars_since_swing_high] => 21
            [ms_bars_since_swing_low] => 3
            [ms_last_swing_amplitude_pct] => 18.964659034345
            [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] => 2025-10-17 03:00:00
                    [1] => 0.02123
                    [2] => L
                )

            [1] => Array
                (
                    [0] => 2025-10-17 04:30:00
                    [1] => 0.02133
                    [2] => L
                )

            [2] => Array
                (
                    [0] => 2025-10-17 04:45:00
                    [1] => 0.02223
                    [2] => H
                )

            [3] => Array
                (
                    [0] => 2025-10-17 06:00:00
                    [1] => 0.02091
                    [2] => L
                )

            [4] => Array
                (
                    [0] => 2025-10-17 06:30:00
                    [1] => 0.02091
                    [2] => L
                )

            [5] => Array
                (
                    [0] => 2025-10-17 08:15:00
                    [1] => 0.02202
                    [2] => H
                )

            [6] => Array
                (
                    [0] => 2025-10-17 10:30:00
                    [1] => 0.02052
                    [2] => L
                )

            [7] => Array
                (
                    [0] => 2025-10-17 12:00:00
                    [1] => 0.0214
                    [2] => H
                )

            [8] => Array
                (
                    [0] => 2025-10-17 15:30:00
                    [1] => 0.02009
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 17:45:00
                    [1] => 0.02112
                    [2] => H
                )

        )

    [detected_trend] => downtrend
    [features] => Array
        (
            [ms_trend_state] => -1
            [ms_dist_from_last_high_pct] => -0.75757575757576
            [ms_dist_from_last_low_pct] => 4.330512692882
            [ms_bars_since_swing_high] => 1
            [ms_bars_since_swing_low] => 10
            [ms_last_swing_amplitude_pct] => 5.1269288203086
            [ms_bos_up] => 0
            [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 10:55:00
                    [1] => 0.02109
                    [2] => H
                )

            [1] => Array
                (
                    [0] => 2025-10-17 12:00:00
                    [1] => 0.0214
                    [2] => H
                )

            [2] => Array
                (
                    [0] => 2025-10-17 13:45:00
                    [1] => 0.02014
                    [2] => L
                )

            [3] => Array
                (
                    [0] => 2025-10-17 14:20:00
                    [1] => 0.02051
                    [2] => H
                )

            [4] => Array
                (
                    [0] => 2025-10-17 14:35:00
                    [1] => 0.02051
                    [2] => H
                )

            [5] => Array
                (
                    [0] => 2025-10-17 14:55:00
                    [1] => 0.02011
                    [2] => L
                )

            [6] => Array
                (
                    [0] => 2025-10-17 15:10:00
                    [1] => 0.02036
                    [2] => H
                )

            [7] => Array
                (
                    [0] => 2025-10-17 15:35:00
                    [1] => 0.02009
                    [2] => L
                )

            [8] => Array
                (
                    [0] => 2025-10-17 16:10:00
                    [1] => 0.02019
                    [2] => L
                )

            [9] => Array
                (
                    [0] => 2025-10-17 17:45:00
                    [1] => 0.02112
                    [2] => H
                )

        )

    [detected_trend] => uptrend
    [features] => Array
        (
            [ms_trend_state] => 1
            [ms_dist_from_last_high_pct] => -0.75757575757576
            [ms_dist_from_last_low_pct] => 3.8137691926696
            [ms_bars_since_swing_high] => 3
            [ms_bars_since_swing_low] => 22
            [ms_last_swing_amplitude_pct] => 4.6062407132244
            [ms_bos_up] => 1
            [ms_bos_down] => 0
            [ms_choch_up] => 1
            [ms_choch_down] => 0
        )

)
    100. ¸

Market Structure

Market Structure Score: 2

5M - uptrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
1
Dist From Last High Pct
-0.76%
Dist From Last Low Pct
3.81%
Bars Since Swing High
3 bars
Bars Since Swing Low
22 bars
Last Swing Amplitude Pct
4.61%
Bos Up
1
Bos Down
0
Choch Up
1
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0002
1.13%
TP to Pivot Distance
0.0006
3.09%
DateTime Price Type
2025-10-17 10:55:00 0.02109 ↑ High
2025-10-17 12:00:00 0.0214 ↑ High
2025-10-17 13:45:00 0.02014 ↓ Low
2025-10-17 14:20:00 0.02051 ↑ High
2025-10-17 14:35:00 0.02051 ↑ High
2025-10-17 14:55:00 0.02011 ↓ Low
2025-10-17 15:10:00 0.02036 ↑ High
2025-10-17 15:35:00 0.02009 ↓ Low
2025-10-17 16:10:00 0.02019 ↓ Low
2025-10-17 17:45:00 0.02112 ↑ High
15M - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-0.76%
Dist From Last Low Pct
4.33%
Bars Since Swing High
1 bars
Bars Since Swing Low
10 bars
Last Swing Amplitude Pct
5.13%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
0

SL & TP Pivot Distance:

SL to Pivot Distance
0.0011
5.06%
TP to Pivot Distance
0.0006
3.09%
DateTime Price Type
2025-10-17 03:00:00 0.02123 ↓ Low
2025-10-17 04:30:00 0.02133 ↓ Low
2025-10-17 04:45:00 0.02223 ↑ High
2025-10-17 06:00:00 0.02091 ↓ Low
2025-10-17 06:30:00 0.02091 ↓ Low
2025-10-17 08:15:00 0.02202 ↑ High
2025-10-17 10:30:00 0.02052 ↓ Low
2025-10-17 12:00:00 0.0214 ↑ High
2025-10-17 15:30:00 0.02009 ↓ Low
2025-10-17 17:45:00 0.02112 ↑ High
1H - downtrend

Windows: Left: 5 | Right: 5

Market Structure Features:

Trend State
-1
Dist From Last High Pct
-12.30%
Dist From Last Low Pct
4.33%
Bars Since Swing High
21 bars
Bars Since Swing Low
3 bars
Last Swing Amplitude Pct
18.96%
Bos Up
0
Bos Down
1
Choch Up
0
Choch Down
1

SL & TP Pivot Distance:

SL to Pivot Distance
0.0033
15.60%
TP to Pivot Distance
0.0023
11.14%
DateTime Price Type
2025-10-14 06:00:00 0.01842 ↓ Low
2025-10-14 11:00:00 0.02379 ↑ High
2025-10-14 15:00:00 0.02058 ↓ Low
2025-10-14 19:00:00 0.02279 ↑ High
2025-10-15 02:00:00 0.02017 ↓ Low
2025-10-15 22:00:00 0.0192 ↓ Low
2025-10-16 08:00:00 0.02446 ↑ High
2025-10-16 12:00:00 0.02045 ↓ Low
2025-10-16 21:00:00 0.0239 ↑ High
2025-10-17 15:00:00 0.02009 ↓ Low

📌 Time Data

Start at Closed at Duration
17 Oct 2025
18:02:34		 17 Oct 2025
18:20:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02102 0.02116 0.02073 2.07 0.00966
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 0.02102
  • Stop Loss: 0.02116
  • Take Profit: 0.02073

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02116 - 0.02102 = 0.00014

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02102 - 0.02073 = 0.00029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00029 / 0.00014 = 2.0714

📌 Position Size

Amount Margin Quantity Leverage
1177.7911 100 56031.9276 11.78
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 0.00014

Taille de position = 8 / 0.00014 = 57142.86

Taille de position USD = 57142.86 x 0.02102 = 1201.14

Donc, tu peux acheter 57142.86 avec un stoploss a 0.02116

Avec un position size USD de 1201.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 57142.86 x 0.00014 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 57142.86 x 0.00029 = 16.57

Si Take Profit atteint, tu gagneras 16.57$

Résumé

  • Taille de position 57142.86
  • Taille de position USD 1201.14
  • Perte potentielle 8
  • Gain potentiel 16.57
  • Risk-Reward Ratio 2.0714

📌 Peformances

TP % Target TP $ Target
1.38 % 16.25 $
SL % Target SL $ Target
0.67 % 7.84 $
PNL PNL %
16.25 $ 1.38
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02074
            [stop_loss] => 0.02116
            [rr_ratio] => 2
            [closed_at] => 2025-10-17 18:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02067
            [stop_loss] => 0.02116
            [rr_ratio] => 2.5
            [closed_at] => 2025-10-17 18:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0206
            [stop_loss] => 0.02116
            [rr_ratio] => 3
            [closed_at] => 2025-10-17 18:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02053
            [stop_loss] => 0.02116
            [rr_ratio] => 3.5
            [closed_at] => 2025-10-17 19:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02046
            [stop_loss] => 0.02116
            [rr_ratio] => 4
            [closed_at] => 2025-10-17 19:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.02039
            [stop_loss] => 0.02116
            [rr_ratio] => 4.5
            [closed_at] => 2025-10-17 19:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02032
            [stop_loss] => 0.02116
            [rr_ratio] => 5
            [closed_at] => 2025-10-17 19:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.02025
            [stop_loss] => 0.02116
            [rr_ratio] => 5.5
            [closed_at] => 2025-10-17 19:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00081
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.02096000
            [low] => 0.02021000
            [mfe_pct] => 3.85
            [mae_pct] => -0.29
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-10-17T18:02:34-04:00
            [end_at] => 2025-10-17T20:02:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00082
            [max_drawdown] => 7.0000000000001E-5
            [rr_ratio] => 11.71
            [high] => 0.02109000
            [low] => 0.02020000
            [mfe_pct] => 3.9
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 11.71
            [candles_analyzed] => 84
            [start_at] => 2025-10-17T18:02:34-04:00
            [end_at] => 2025-10-18T01:02:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02112000
            [high_after] => 0.02109000
            [low_before] => 0.02009000
            [low_after] => 0.02020000
            [is_new_high] => 
            [is_new_low] => 
        )

)