Long Trade on LAYER 23 Apr 2025 at 18:13:42

Take profit at 2.1864 (1.8 %) and Stop Loss at 2.1219 (1.2 %)

Long Trade on LAYER

The 23 Apr 2025 at 18:13:42

With 310.05 LAYER at 2.1477$ per unit.

Position size of 665.8943 $

Take profit at 2.1864 (1.8 %) and Stop Loss at 2.1219 (1.2 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 8
Prediction Score: -2.3296
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: 0.03
  4. atr: 0.0172015285
Details
  1. score: 2.03
  2. 1H
  3. ema9 : 2.179
  4. ema21 : 2.13953
  5. ema50 : 2.09752
  6. price_ema9_diff : -0.0146301
  7. ema9_ema21_diff : 0.0184476
  8. ema21_ema50_diff : 0.0200269
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.538871
  12. kc_percentage : 0.522054
  13. kc_width_percentage : 0.108689
  14. ¸
  15. 15m
  16. ema9 : 2.18922
  17. ema21 : 2.20149
  18. ema50 : 2.1736
  19. price_ema9_diff : -0.0188635
  20. ema9_ema21_diff : -0.00557148
  21. ema21_ema50_diff : 0.0128301
  22. all_emas_in_trend : False
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.379836
  25. kc_percentage : 0.0848528
  26. kc_width_percentage : 0.060588
  27. ¸
  28. 5m
  29. ema9 : 2.16355
  30. ema21 : 2.18666
  31. ema50 : 2.20464
  32. price_ema9_diff : -0.00725117
  33. ema9_ema21_diff : -0.0105701
  34. ema21_ema50_diff : -0.00815373
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : True
  37. rsi : 0.327852
  38. kc_percentage : -0.0293061
  39. kc_width_percentage : 0.0329851
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Apr 2025
18:13:42
23 Apr 2025
19:05:00
51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.1477 2.1219 2.1864 1.5 0.0865
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 2.1477
  • Stop Loss: 2.1219
  • Take Profit: 2.1864

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1219 - 2.1477 = -0.0258

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.1477 - 2.1864 = -0.0387

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0387 / -0.0258 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
665.8943 100 310.05 6.66
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 -0.0258

Taille de position = 8 / -0.0258 = -310.08

Taille de position USD = -310.08 x 2.1477 = -665.96

Donc, tu peux acheter -310.08 avec un stoploss a 2.1219

Avec un position size USD de -665.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -310.08 x -0.0258 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -310.08 x -0.0387 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -310.08
  • Taille de position USD -665.96
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.8 % 12 $
SL % Target SL $ Target
1.2 % 8 $
PNL PNL %
11.78 $ 1.77
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.24208566108009 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.2
            [stop_loss] => 2.122
            [rr_ratio] => 2
            [closed_at] => 2025-04-23 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.213
            [stop_loss] => 2.122
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-23 20:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.226
            [stop_loss] => 2.122
            [rr_ratio] => 3
            [closed_at] => 2025-04-23 20:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.239
            [stop_loss] => 2.122
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-23 20:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0773
            [max_drawdown] => 0.0049000000000001
            [rr_ratio] => 15.78
            [high] => 2.22500000
            [low] => 2.14280000
            [mfe_pct] => 3.6
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 15.78
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T18:13:42-04:00
            [end_at] => 2025-04-23T20:13:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0915
            [max_drawdown] => 0.0049000000000001
            [rr_ratio] => 18.67
            [high] => 2.23920000
            [low] => 2.14280000
            [mfe_pct] => 4.26
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 18.67
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T18:13:42-04:00
            [end_at] => 2025-04-24T00:13:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.29260000
            [high_after] => 2.23920000
            [low_before] => 2.12660000
            [low_after] => 2.14280000
            [is_new_high] => 
            [is_new_low] => 
        )

)