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Short Trade on ARKM

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Short Trade on ARKM 22 Sep 2025 at 16:46:43

Take profit at 0.5377 (1.03 %) and Stop Loss at 0.5461 (0.52 %)

Short Trade on ARKM

The 22 Sep 2025 at 16:46:43

With 2837.3753 ARKM at 0.5433$ per unit.

Position size of 1541.546 $

Take profit at 0.5377 (1.03 %) and Stop Loss at 0.5461 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.07
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.67
Prediction 3 Probability
0 0.65
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.513324

15m : 0.017459

1H : -0.075306

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001879671477
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.541304
  4. ema21 : 0.552613
  5. ema50 : 0.576454
  6. ema100 : 0.598491
  7. price_ema9_diff : 0.00368656
  8. ema9_ema21_diff : -0.0204648
  9. ema21_ema50_diff : -0.0413576
  10. price_ema100_diff : -0.0922183
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.26692
  14. ema_slope_21 : -0.384818
  15. ema_slope_50 : -0.311183
  16. ema_slope_100 : -0.214558
  17. rsi : 0.367026
  18. adx : 0.602062
  19. kc_percentage : 0.266717
  20. kc_width_percentage : 0.0651811
  21. volume_ema_diff : -0.440923
  22. volume_ema1 : 212177.66663909
  23. volume_ema2 : 379514.34354745
  24. chop : 78.2794
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.539955
  28. ema21 : 0.539629
  29. ema50 : 0.543951
  30. ema100 : 0.556112
  31. price_ema9_diff : 0.00619431
  32. ema9_ema21_diff : 0.000604357
  33. ema21_ema50_diff : -0.00794668
  34. price_ema100_diff : -0.0230401
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0173499
  38. ema_slope_21 : -0.00865636
  39. ema_slope_50 : -0.0453723
  40. ema_slope_100 : -0.0688262
  41. rsi : 0.575662
  42. adx : 0.163317
  43. kc_percentage : 0.774936
  44. kc_width_percentage : 0.0248212
  45. volume_ema_diff : -0.696375
  46. volume_ema1 : 24518.260631799
  47. volume_ema2 : 80752.024368995
  48. chop : 65.8303
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.540953
  52. ema21 : 0.53955
  53. ema50 : 0.539239
  54. ema100 : 0.539836
  55. price_ema9_diff : 0.00433737
  56. ema9_ema21_diff : 0.0026004
  57. ema21_ema50_diff : 0.000576486
  58. price_ema100_diff : 0.00641604
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0588138
  62. ema_slope_21 : 0.0251872
  63. ema_slope_50 : 0.0060793
  64. ema_slope_100 : -0.000481727
  65. rsi : 0.657906
  66. adx : 0.167249
  67. kc_percentage : 1.00339
  68. kc_width_percentage : 0.0135037
  69. volume_ema_diff : -0.511919
  70. volume_ema1 : 8417.7982112684
  71. volume_ema2 : 17246.755767965
  72. chop : 41.1288
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112499
  77. 5m_price_ema100_diff: 
    0.000186768
  78. 5m_price: 
    112520
  79. 5m_correlation_with_coin: 
    0.513324
  80. btc_indicators
  81. 15m_ema100: 
    113305
  82. 15m_price_ema100_diff: 
    -0.0069241
  83. 15m_price: 
    112520
  84. 15m_correlation_with_coin: 
    0.017459
  85. btc_indicators
  86. 1H_ema100: 
    115045
  87. 1H_price_ema100_diff: 
    -0.0219483
  88. 1H_price: 
    112520
  89. 1H_correlation_with_coin: 
    -0.075306
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
16:46:43		 22 Sep 2025
17:35:00		 48 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5433 0.5461 0.5377 2 0.1094
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 0.5433
  • Stop Loss: 0.5461
  • Take Profit: 0.5377

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5461 - 0.5433 = 0.0028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5433 - 0.5377 = 0.0056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0056 / 0.0028 = 2

📌 Position Size

Amount Margin Quantity Leverage
1541.546 100 2837.3753 15.42
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 0.0028

Taille de position = 8 / 0.0028 = 2857.14

Taille de position USD = 2857.14 x 0.5433 = 1552.28

Donc, tu peux acheter 2857.14 avec un stoploss a 0.5461

Avec un position size USD de 1552.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2857.14 x 0.0028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2857.14 x 0.0056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2857.14
  • Taille de position USD 1552.28
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.03 % 15.89 $
SL % Target SL $ Target
0.52 % 7.94 $
PNL PNL %
-7.94 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6626 % 128.56 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5377
            [entry_price] => 0.5433
            [stop_loss] => 0.54638
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5377
            [entry_price] => 0.5433
            [stop_loss] => 0.54666
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-22 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5377
            [entry_price] => 0.5433
            [stop_loss] => 0.54694
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-22 17:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5377
            [entry_price] => 0.5433
            [stop_loss] => 0.5475
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-22 17:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0015000000000001
            [max_drawdown] => 0.0047
            [rr_ratio] => 0.32
            [high] => 0.54800000
            [low] => 0.54180000
            [mfe_pct] => 0.28
            [mae_pct] => 0.87
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T16:46:43-04:00
            [end_at] => 2025-09-22T18:46:43-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0109
            [max_drawdown] => 0.008
            [rr_ratio] => 1.36
            [high] => 0.55130000
            [low] => 0.53240000
            [mfe_pct] => 2.01
            [mae_pct] => 1.47
            [mfe_mae_ratio] => 1.36
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T16:46:43-04:00
            [end_at] => 2025-09-22T23:46:43-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.54360000
            [high_after] => 0.55130000
            [low_before] => 0.53400000
            [low_after] => 0.53790000
            [is_new_high] => 
            [is_new_low] => 
        )

)