Long Trade on ARC 10 May 2025 at 11:28:39

Take profit at 0.08592 (1.92 %) and Stop Loss at 0.08322 (1.28 %)

Long Trade on ARC

The 10 May 2025 at 11:28:39

With 7410.037 ARC at 0.0843$ per unit.

Position size of 624.6661 $

Take profit at 0.08592 (1.92 %) and Stop Loss at 0.08322 (1.28 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 7.19
Prediction Score: 0
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0007197444912
Details
  1. score: 2.01
  2. 1H
  3. ema9 : 0.0862108
  4. ema21 : 0.0841169
  5. ema50 : 0.0769458
  6. price_ema9_diff : -0.0227163
  7. ema9_ema21_diff : 0.0248921
  8. ema21_ema50_diff : 0.0931964
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.547288
  12. kc_percentage : 0.495457
  13. kc_width_percentage : 0.173072
  14. ¸
  15. 15m
  16. ema9 : 0.0858272
  17. ema21 : 0.0864224
  18. ema50 : 0.0862638
  19. price_ema9_diff : -0.0176715
  20. ema9_ema21_diff : -0.00688793
  21. ema21_ema50_diff : 0.00183921
  22. all_emas_in_trend : False
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.399476
  25. kc_percentage : 0.148157
  26. kc_width_percentage : 0.0702481
  27. ¸
  28. 5m
  29. ema9 : 0.0852048
  30. ema21 : 0.0857567
  31. ema50 : 0.086277
  32. price_ema9_diff : -0.0105512
  33. ema9_ema21_diff : -0.00643626
  34. ema21_ema50_diff : -0.00602948
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : True
  37. rsi : 0.33684
  38. kc_percentage : -0.00955004
  39. kc_width_percentage : 0.0333264
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 May 2025
11:28:39
10 May 2025
11:45:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0843 0.08322 0.08592 1.5 0.03068
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 0.0843
  • Stop Loss: 0.08322
  • Take Profit: 0.08592

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08322 - 0.0843 = -0.00108

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0843 - 0.08592 = -0.00162

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00162 / -0.00108 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
624.6661 100 7410.037 6.25
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 -0.00108

Taille de position = 8 / -0.00108 = -7407.41

Taille de position USD = -7407.41 x 0.0843 = -624.44

Donc, tu peux acheter -7407.41 avec un stoploss a 0.08322

Avec un position size USD de -624.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7407.41 x -0.00108 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7407.41 x -0.00162 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -7407.41
  • Taille de position USD -624.44
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.92 % 12 $
SL % Target SL $ Target
1.28 % 8 $
PNL PNL %
12 $ 1.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.08646
            [stop_loss] => 0.08322
            [rr_ratio] => 2
            [closed_at] => 2025-05-10 12:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.087
            [stop_loss] => 0.08322
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-10 12:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.08754
            [stop_loss] => 0.08322
            [rr_ratio] => 3
            [closed_at] => 2025-05-10 17:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.08808
            [stop_loss] => 0.08322
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-10 17:25:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0032
            [max_drawdown] => 0.00064
            [rr_ratio] => 5
            [high] => 0.08750000
            [low] => 0.08366000
            [mfe_pct] => 3.8
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 5
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T11:28:39-04:00
            [end_at] => 2025-05-10T13:28:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0038
            [max_drawdown] => 0.00064
            [rr_ratio] => 5.94
            [high] => 0.08810000
            [low] => 0.08366000
            [mfe_pct] => 4.51
            [mae_pct] => 0.76
            [mfe_mae_ratio] => 5.94
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T11:28:39-04:00
            [end_at] => 2025-05-10T17:28:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08839000
            [high_after] => 0.08810000
            [low_before] => 0.08377000
            [low_after] => 0.08366000
            [is_new_high] => 
            [is_new_low] => 
        )

)