Long Trade on ARC 09 Aug 2025 at 18:48:03

Take profit at 0.02216 (1.09 %) and Stop Loss at 0.02176 (0.73 %)

Long Trade on ARC

The 09 Aug 2025 at 18:48:03

With 49521.4776 ARC at 0.02192$ per unit.

Position size of 1085.5108 $

Take profit at 0.02216 (1.09 %) and Stop Loss at 0.02176 (0.73 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 120
ML Pullback Score: 10
Prediction Score: -0.2271
Prediction 1 Probability
Weak Trade
0.6
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.61
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.435319

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001076973789
Details
  1. score: 2.06
  2. 1H
  3. ema9 : 0.0220234
  4. ema21 : 0.0216784
  5. ema50 : 0.0210773
  6. ema100 : 0.0203114
  7. price_ema9_diff : -0.00469615
  8. ema9_ema21_diff : 0.0159148
  9. ema21_ema50_diff : 0.028515
  10. price_ema100_diff : 0.0791956
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.560563
  14. adx : 0.39916
  15. kc_percentage : 0.625971
  16. kc_width_percentage : 0.0777822
  17. volume_ema_diff : -0.189428
  18. volume_ema1 : 261987.11362
  19. volume_ema2 : 323212.99266685
  20. ¸
  21. 15m
  22. ema9 : 0.0221445
  23. ema21 : 0.0221411
  24. ema50 : 0.0219325
  25. ema100 : 0.0215971
  26. price_ema9_diff : -0.0101395
  27. ema9_ema21_diff : 0.000154627
  28. ema21_ema50_diff : 0.00950732
  29. price_ema100_diff : 0.0149509
  30. all_emas_in_trend : True
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.445183
  33. adx : 0.263645
  34. kc_percentage : 0.230554
  35. kc_width_percentage : 0.0382968
  36. volume_ema_diff : -0.583056
  37. volume_ema1 : 31758.433830108
  38. volume_ema2 : 76169.67395066
  39. ¸
  40. 5m
  41. ema9 : 0.0220797
  42. ema21 : 0.0221628
  43. ema50 : 0.0221762
  44. ema100 : 0.0220741
  45. price_ema9_diff : -0.00723304
  46. ema9_ema21_diff : -0.00375236
  47. ema21_ema50_diff : -0.000602072
  48. price_ema100_diff : -0.00698197
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.366157
  52. adx : 0.194517
  53. kc_percentage : -0.0612598
  54. kc_width_percentage : 0.0193727
  55. volume_ema_diff : -0.446789
  56. volume_ema1 : 12004.034086603
  57. volume_ema2 : 21698.840783684
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    116638
  62. 5m_price_ema100_diff:
    -0.00106247
  63. 5m_price:
    116514
  64. 5m_correlation_with_coin:
    0.435319
  65. btc_indicators
  66. 15m_ema100:
    116764
  67. 15m_price_ema100_diff:
    -0.00214252
  68. 15m_price:
    116514
  69. btc_indicators
  70. 1H_ema100:
    115927
  71. 1H_price_ema100_diff:
    0.00506275
  72. 1H_price:
    116514
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Aug 2025
18:48:03
09 Aug 2025
20:25:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02192 0.02176 0.02216 1.5 0.03037
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 0.02192
  • Stop Loss: 0.02176
  • Take Profit: 0.02216

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02176 - 0.02192 = -0.00016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02192 - 0.02216 = -0.00024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00024 / -0.00016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1085.5108 100 49521.4776 10.86
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 -0.00016

Taille de position = 8 / -0.00016 = -50000

Taille de position USD = -50000 x 0.02192 = -1096

Donc, tu peux acheter -50000 avec un stoploss a 0.02176

Avec un position size USD de -1096$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -50000 x -0.00016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -50000 x -0.00024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -50000
  • Taille de position USD -1096
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.09 % 11.89 $
SL % Target SL $ Target
0.73 % 7.92 $
PNL PNL %
11.89 $ 1.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0456 % 6.25 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02224
            [stop_loss] => 0.02176
            [rr_ratio] => 2
            [closed_at] => 2025-08-09 20:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02232
            [stop_loss] => 0.02176
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-09 20:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0224
            [stop_loss] => 0.02176
            [rr_ratio] => 3
            [closed_at] => 2025-08-09 22:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02248
            [stop_loss] => 0.02176
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-09 22:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.02256
            [stop_loss] => 0.02176
            [rr_ratio] => 4
            [closed_at] => 2025-08-09 22:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.02264
            [stop_loss] => 0.02176
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-09 22:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.02272
            [stop_loss] => 0.02176
            [rr_ratio] => 5
            [closed_at] => 2025-08-09 23:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0228
            [stop_loss] => 0.02176
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-10 00:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.02288
            [stop_loss] => 0.02176
            [rr_ratio] => 6
            [closed_at] => 2025-08-10 00:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00025
            [max_drawdown] => 9.9999999999996E-6
            [rr_ratio] => 25
            [high] => 0.02217000
            [low] => 0.02191000
            [mfe_pct] => 1.14
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 25
            [candles_analyzed] => 24
            [start_at] => 2025-08-09T18:48:03-04:00
            [end_at] => 2025-08-09T20:48:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00097
            [max_drawdown] => 9.9999999999996E-6
            [rr_ratio] => 97
            [high] => 0.02289000
            [low] => 0.02191000
            [mfe_pct] => 4.43
            [mae_pct] => 0.05
            [mfe_mae_ratio] => 97
            [candles_analyzed] => 84
            [start_at] => 2025-08-09T18:48:03-04:00
            [end_at] => 2025-08-10T01:48:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02270000
            [high_after] => 0.02289000
            [low_before] => 0.02183000
            [low_after] => 0.02191000
            [is_new_high] => 1
            [is_new_low] => 
        )

)