Short Trade on LAYER

The 08 Apr 2025 at 07:45:42

With 679.1723 LAYER at 1.4268$ per unit.

Position size of 969.0431 $

Take profit at 1.4091 (1.24 %) and Stop Loss at 1.4386 (0.83 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.32
Prediction Score:
Prediction 1 Probability
Strong 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 - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.007852695181
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 1.41983
  4. ema21 - 1.44619
  5. ema50 - 1.47752
  6. price_ema9_diff - 0.00481601
  7. ema9_ema21_diff - -0.0182282
  8. ema21_ema50_diff - -0.0212025
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.442408
  12. kc_percentage - 0.379906
  13. kc_width_percentage - 0.102449
  14. ¸
  15. 15m
  16. ema9 - 1.41154
  17. ema21 - 1.40973
  18. ema50 - 1.42715
  19. price_ema9_diff - 0.0108193
  20. ema9_ema21_diff - 0.00128518
  21. ema21_ema50_diff - -0.012208
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.578797
  25. kc_percentage - 0.824004
  26. kc_width_percentage - 0.0375033
  27. ¸
  28. 5m
  29. ema9 - 1.41742
  30. ema21 - 1.40968
  31. ema50 - 1.4064
  32. price_ema9_diff - 0.00664849
  33. ema9_ema21_diff - 0.00549117
  34. ema21_ema50_diff - 0.00233147
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.670388
  38. kc_percentage - 1.03243
  39. kc_width_percentage - 0.0220506
  40. ¸

📌 Time Data

Start at Closed at Duration
08 Apr 2025
07:45:42
08 Apr 2025
08:10:00
24 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.4268 1.4386 1.4091 1.5 0.1892
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 1.4268
  • Stop Loss: 1.4386
  • Take Profit: 1.4091

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.4386 - 1.4268 = 0.0118

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.4268 - 1.4091 = 0.0177

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0177 / 0.0118 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
969.0431 100 679.1723 9.69
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 0.0118

Taille de position = 8 / 0.0118 = 677.97

Taille de position USD = 677.97 x 1.4268 = 967.33

Donc, tu peux acheter 677.97 avec un stoploss a 1.4386

Avec un position size USD de 967.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 677.97 x 0.0118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 677.97 x 0.0177 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 677.97
  • Taille de position USD 967.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.24 % 12.02 $
SL % Target SL $ Target
0.83 % 8.01 $
PNL PNL %
-8.15 $ -0.84
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8479327259986 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.409
            [entry_price] => 1.427
            [stop_loss] => 1.4402
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-08 08:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.409
            [entry_price] => 1.427
            [stop_loss] => 1.4414
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-08 08:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.409
            [entry_price] => 1.427
            [stop_loss] => 1.4426
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-08 08:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.409
            [entry_price] => 1.427
            [stop_loss] => 1.445
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-08 08:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0137
            [max_drawdown] => 0.0227
            [rr_ratio] => 0.6
            [high] => 1.44950000
            [low] => 1.41310000
            [mfe_pct] => 0.96
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 0.6
            [candles_analyzed] => 24
            [start_at] => 2025-04-08T07:45:42-04:00
            [end_at] => 2025-04-08T09:45:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0698
            [max_drawdown] => 0.0227
            [rr_ratio] => 3.07
            [high] => 1.44950000
            [low] => 1.35700000
            [mfe_pct] => 4.89
            [mae_pct] => 1.59
            [mfe_mae_ratio] => 3.07
            [candles_analyzed] => 72
            [start_at] => 2025-04-08T07:45:42-04:00
            [end_at] => 2025-04-08T13:45:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.44010000
            [high_after] => 1.44950000
            [low_before] => 1.38760000
            [low_after] => 1.35700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)