Long Trade on USUAL

The 20 Apr 2025 at 22:02:06

With 1028.0413 USUAL at 0.1408$ per unit.

Position size of 144.7482 $

Take profit at 0.1525 (8.31 %) and Stop Loss at 0.133 (5.54 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.8
Prediction Score: -3.3012
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
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: 0.18
  4. atr: 0.005187858835
Details
  1. score: 2.18
  2. 1H
  3. ema9 - 0.145813
  4. ema21 - 0.140168
  5. ema50 - 0.132614
  6. price_ema9_diff - -0.0357669
  7. ema9_ema21_diff - 0.0402749
  8. ema21_ema50_diff - 0.0569609
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.533044
  12. kc_percentage - 0.505601
  13. kc_width_percentage - 0.243946
  14. ¸
  15. 15m
  16. ema9 - 0.153389
  17. ema21 - 0.151269
  18. ema50 - 0.145864
  19. price_ema9_diff - -0.0832248
  20. ema9_ema21_diff - 0.014013
  21. ema21_ema50_diff - 0.0370545
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.40888
  25. kc_percentage - 0.137266
  26. kc_width_percentage - 0.208683
  27. ¸
  28. 5m
  29. ema9 - 0.156353
  30. ema21 - 0.157134
  31. ema50 - 0.153544
  32. price_ema9_diff - -0.0989835
  33. ema9_ema21_diff - -0.00497123
  34. ema21_ema50_diff - 0.0233867
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.317622
  38. kc_percentage - -0.180465
  39. kc_width_percentage - 0.171823
  40. ¸

📌 Time Data

Start at Closed at Duration
20 Apr 2025
22:02:06
20 Apr 2025
22:50:00
47 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1408 0.133 0.1525 1.5 0.02583
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 0.1408
  • Stop Loss: 0.133
  • Take Profit: 0.1525

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.133 - 0.1408 = -0.0078

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1408 - 0.1525 = -0.0117

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0117 / -0.0078 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
144.7482 100 1028.0413 1.45
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 -0.0078

Taille de position = 8 / -0.0078 = -1025.64

Taille de position USD = -1025.64 x 0.1408 = -144.41

Donc, tu peux acheter -1025.64 avec un stoploss a 0.133

Avec un position size USD de -144.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1025.64 x -0.0078 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1025.64 x -0.0117 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1025.64
  • Taille de position USD -144.41
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
8.31 % 12.03 $
SL % Target SL $ Target
5.54 % 8.02 $
PNL PNL %
-8.02 $ -5.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-7.5284090909091 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1525
            [entry_price] => 0.1408
            [stop_loss] => 0.13222
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 22:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1525
            [entry_price] => 0.1408
            [stop_loss] => 0.13144
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 22:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1525
            [entry_price] => 0.1408
            [stop_loss] => 0.13066
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 22:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1525
            [entry_price] => 0.1408
            [stop_loss] => 0.1291
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 23:25:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0088
            [max_drawdown] => 0.0154
            [rr_ratio] => 0.57
            [high] => 0.14960000
            [low] => 0.12540000
            [mfe_pct] => 6.25
            [mae_pct] => 10.94
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T22:02:06-04:00
            [end_at] => 2025-04-21T00:02:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0088
            [max_drawdown] => 0.0154
            [rr_ratio] => 0.57
            [high] => 0.14960000
            [low] => 0.12540000
            [mfe_pct] => 6.25
            [mae_pct] => 10.94
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T22:02:06-04:00
            [end_at] => 2025-04-21T04:02:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17820000
            [high_after] => 0.14960000
            [low_before] => 0.13960000
            [low_after] => 0.12540000
            [is_new_high] => 
            [is_new_low] => 
        )

)