Short Trade on ETH

The 03 Apr 2025 at 14:51:53

With 0.95 ETH at 1789.39$ per unit.

Position size of 1699.8576 $

Take profit at 1776.758 (0.71 %) and Stop Loss at 1797.8114 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.15
Prediction Score:
Prediction 1 Probability
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: 0.04
  4. atr: 5.614242965
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 1784.25
  4. ema21 - 1803.71
  5. ema50 - 1828.74
  6. price_ema9_diff - 0.00284678
  7. ema9_ema21_diff - -0.0107882
  8. ema21_ema50_diff - -0.0136854
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.437047
  12. kc_percentage - 0.369858
  13. kc_width_percentage - 0.0550209
  14. ¸
  15. 15m
  16. ema9 - 1779.45
  17. ema21 - 1779.33
  18. ema50 - 1791.21
  19. price_ema9_diff - 0.00558571
  20. ema9_ema21_diff - 6.73287E-5
  21. ema21_ema50_diff - -0.00663182
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.550461
  25. kc_percentage - 0.73872
  26. kc_width_percentage - 0.0240442
  27. ¸
  28. 5m
  29. ema9 - 1779.67
  30. ema21 - 1777.24
  31. ema50 - 1776.89
  32. price_ema9_diff - 0.00546677
  33. ema9_ema21_diff - 0.00136615
  34. ema21_ema50_diff - 0.000198055
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.681344
  38. kc_percentage - 1.03965
  39. kc_width_percentage - 0.0124847
  40. ¸

📌 Time Data

Start at Closed at Duration
03 Apr 2025
14:51:53
03 Apr 2025
16:50:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1789.39 1797.8114 1776.758 1.5 3153.46
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 1789.39
  • Stop Loss: 1797.8114
  • Take Profit: 1776.758

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1797.8114 - 1789.39 = 8.4213999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1789.39 - 1776.758 = 12.632

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 12.632 / 8.4213999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1699.8576 100 0.95 17.00
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 8.4213999999999

Taille de position = 8 / 8.4213999999999 = 0.95

Taille de position USD = 0.95 x 1789.39 = 1699.92

Donc, tu peux acheter 0.95 avec un stoploss a 1797.8114

Avec un position size USD de 1699.92$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.95 x 8.4213999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.95 x 12.632 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 0.95
  • Taille de position USD 1699.92
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.71 % 12 $
SL % Target SL $ Target
0.47 % 8 $
PNL PNL %
-8 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5091120437691 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1777
            [entry_price] => 1789
            [stop_loss] => 1798.9
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-03 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1777
            [entry_price] => 1789
            [stop_loss] => 1799.8
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-03 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1777
            [entry_price] => 1789
            [stop_loss] => 1800.7
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-03 16:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1777
            [entry_price] => 1789
            [stop_loss] => 1802.5
            [rr_ratio] => 0.89
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-03 16:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 10.81
            [max_drawdown] => 9.1099999999999
            [rr_ratio] => 1.19
            [high] => 1798.50000000
            [low] => 1778.58000000
            [mfe_pct] => 0.6
            [mae_pct] => 0.51
            [mfe_mae_ratio] => 1.19
            [candles_analyzed] => 24
            [start_at] => 2025-04-03T14:51:53-04:00
            [end_at] => 2025-04-03T16:51:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 10.81
            [max_drawdown] => 32.99
            [rr_ratio] => 0.33
            [high] => 1822.38000000
            [low] => 1778.58000000
            [mfe_pct] => 0.6
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 72
            [start_at] => 2025-04-03T14:51:53-04:00
            [end_at] => 2025-04-03T20:51:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1798.39000000
            [high_after] => 1822.38000000
            [low_before] => 1754.29000000
            [low_after] => 1778.58000000
            [is_new_high] => 
            [is_new_low] => 
        )

)