Short Trade on ARPA 11 Oct 2025 at 05:23:45

Take profit at 0.01531 (1.54 %) and Stop Loss at 0.01567 (0.77 %)

Short Trade on ARPA

The 11 Oct 2025 at 05:23:45

With 66458.5756 ARPA at 0.01555$ per unit.

Position size of 1033.4309 $

Take profit at 0.01531 (1.54 %) and Stop Loss at 0.01567 (0.77 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 0.54
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.68
Prediction 3 Probability
0 0.85
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.608361

15m : 0.022786

1H : -0.027536

3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 8.02504911E-5
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 0.0155258
  4. ema21 : 0.0167701
  5. ema50 : 0.0185257
  6. ema100 : 0.0196319
  7. price_ema9_diff : 0.0015529
  8. ema9_ema21_diff : -0.0741945
  9. ema21_ema50_diff : -0.0947675
  10. price_ema100_diff : -0.207922
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -1.62569
  14. ema_slope_21 : -1.3991
  15. ema_slope_50 : -0.838193
  16. ema_slope_100 : -0.485429
  17. rsi : 0.29358
  18. adx : 0.651091
  19. kc_percentage : 0.132432
  20. kc_width_percentage : 0.196434
  21. volume_ema_diff : -0.498817
  22. volume_ema1 : 48714.024438811
  23. volume_ema2 : 97198.087245034
  24. chop : 2.293
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 0.0153365
  29. ema21 : 0.0152598
  30. ema50 : 0.0158724
  31. ema100 : 0.0171953
  32. price_ema9_diff : 0.0139167
  33. ema9_ema21_diff : 0.00503036
  34. ema21_ema50_diff : -0.0385962
  35. price_ema100_diff : -0.0956843
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.118457
  39. ema_slope_21 : 0.0288201
  40. ema_slope_50 : -0.195437
  41. ema_slope_100 : -0.248983
  42. rsi : 0.56133
  43. adx : 0.33299
  44. kc_percentage : 0.889706
  45. kc_width_percentage : 0.0484072
  46. volume_ema_diff : -0.693833
  47. volume_ema1 : 8779.9628305621
  48. volume_ema2 : 28677.108499575
  49. chop : 64.8521
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 0.0154824
  54. ema21 : 0.0153627
  55. ema50 : 0.0152347
  56. ema100 : 0.0151491
  57. price_ema9_diff : 0.00436333
  58. ema9_ema21_diff : 0.00779279
  59. ema21_ema50_diff : 0.00839973
  60. price_ema100_diff : 0.0264617
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.192939
  64. ema_slope_21 : 0.137157
  65. ema_slope_50 : 0.0774268
  66. ema_slope_100 : 0.0460223
  67. rsi : 0.675149
  68. adx : 0.280486
  69. kc_percentage : 1.085
  70. kc_width_percentage : 0.0197577
  71. volume_ema_diff : -0.669607
  72. volume_ema1 : 1317.8025316063
  73. volume_ema2 : 3988.6018543042
  74. chop : 24.4224
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    111648
  80. 5m_price_ema100_diff:
    0.000140231
  81. 5m_price:
    111664
  82. 5m_correlation_with_coin:
    0.608361
  83. btc_indicators
  84. 15m_ema100:
    114864
  85. 15m_price_ema100_diff:
    -0.0279801
  86. 15m_price:
    111650
  87. 15m_correlation_with_coin:
    0.022786
  88. btc_indicators
  89. 1H_ema100:
    119482
  90. 1H_price_ema100_diff:
    -0.0654342
  91. 1H_price:
    111664
  92. 1H_correlation_with_coin:
    -0.027536
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Oct 2025
05:23:45
11 Oct 2025
07:00:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01555 0.01567 0.01531 2 0.00968
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 0.01555
  • Stop Loss: 0.01567
  • Take Profit: 0.01531

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01567 - 0.01555 = 0.00012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01555 - 0.01531 = 0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00024 / 0.00012 = 2

📌 Position Size

Amount Margin Quantity Leverage
1033.4309 100 66458.5756 10.33
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 0.00012

Taille de position = 8 / 0.00012 = 66666.67

Taille de position USD = 66666.67 x 0.01555 = 1036.67

Donc, tu peux acheter 66666.67 avec un stoploss a 0.01567

Avec un position size USD de 1036.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 66666.67 x 0.00012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 66666.67 x 0.00024 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 66666.67
  • Taille de position USD 1036.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.54 % 15.95 $
SL % Target SL $ Target
0.77 % 7.98 $
PNL PNL %
-7.98 $ -0.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0932 % 141.66 % 8

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01531
            [entry_price] => 0.01555
            [stop_loss] => 0.015682
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-11 07:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01531
            [entry_price] => 0.01555
            [stop_loss] => 0.015694
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-11 07:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01531
            [entry_price] => 0.01555
            [stop_loss] => 0.015706
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-11 07:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01531
            [entry_price] => 0.01555
            [stop_loss] => 0.01573
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-11 09:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.0E-5
            [max_drawdown] => 0.00017
            [rr_ratio] => 0.53
            [high] => 0.01572000
            [low] => 0.01546000
            [mfe_pct] => 0.58
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2025-10-11T05:23:45-04:00
            [end_at] => 2025-10-11T07:23:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00032
            [max_drawdown] => 0.00159
            [rr_ratio] => 0.2
            [high] => 0.01714000
            [low] => 0.01523000
            [mfe_pct] => 2.06
            [mae_pct] => 10.23
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 84
            [start_at] => 2025-10-11T05:23:45-04:00
            [end_at] => 2025-10-11T12:23:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01567000
            [high_after] => 0.01600000
            [low_before] => 0.01488000
            [low_after] => 0.01523000
            [is_new_high] => 
            [is_new_low] => 
        )

)