Short Trade on ALCH

The 10 May 2025 at 19:25:33

With 4488.2926 ALCH at 0.1449$ per unit.

Position size of 650.3985 $

Take profit at 0.1422 (1.86 %) and Stop Loss at 0.1467 (1.24 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.18
Prediction Score: 1
Prediction 1 Probability
Strong 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 - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001188276661
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.142556
  4. ema21 - 0.146117
  5. ema50 - 0.155876
  6. price_ema9_diff - 0.0161081
  7. ema9_ema21_diff - -0.0243692
  8. ema21_ema50_diff - -0.0626128
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.437898
  12. kc_percentage - 0.458988
  13. kc_width_percentage - 0.135928
  14. ¸
  15. 15m
  16. ema9 - 0.142204
  17. ema21 - 0.141904
  18. ema50 - 0.143253
  19. price_ema9_diff - 0.0190625
  20. ema9_ema21_diff - 0.00211768
  21. ema21_ema50_diff - -0.00941486
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.633838
  25. kc_percentage - 0.88114
  26. kc_width_percentage - 0.0544872
  27. ¸
  28. 5m
  29. ema9 - 0.143329
  30. ema21 - 0.142261
  31. ema50 - 0.141841
  32. price_ema9_diff - 0.0111092
  33. ema9_ema21_diff - 0.00750761
  34. ema21_ema50_diff - 0.00296317
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.685377
  38. kc_percentage - 1.01626
  39. kc_width_percentage - 0.0347844
  40. ¸

📌 Time Data

Start at Closed at Duration
10 May 2025
19:25:33
10 May 2025
19:45:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1449 0.1467 0.1422 1.5 0.1793
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 0.1449
  • Stop Loss: 0.1467
  • Take Profit: 0.1422

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1467 - 0.1449 = 0.0018

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1449 - 0.1422 = 0.0027

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0027 / 0.0018 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
650.3985 100 4488.2926 6.50
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 0.0018

Taille de position = 8 / 0.0018 = 4444.44

Taille de position USD = 4444.44 x 0.1449 = 644

Donc, tu peux acheter 4444.44 avec un stoploss a 0.1467

Avec un position size USD de 644$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4444.44 x 0.0018 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4444.44 x 0.0027 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4444.44
  • Taille de position USD 644
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.86 % 12.12 $
SL % Target SL $ Target
1.24 % 8.08 $
PNL PNL %
-8.08 $ -1.24
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4009661835749 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1422
            [entry_price] => 0.1449
            [stop_loss] => 0.14688
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-10 19:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1422
            [entry_price] => 0.1449
            [stop_loss] => 0.14706
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-10 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1422
            [entry_price] => 0.1449
            [stop_loss] => 0.14724
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-10 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1422
            [entry_price] => 0.1449
            [stop_loss] => 0.1476
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-10 19:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.02269
            [rr_ratio] => 0.13
            [high] => 0.16759000
            [low] => 0.14190000
            [mfe_pct] => 2.07
            [mae_pct] => 15.66
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T19:25:33-04:00
            [end_at] => 2025-05-10T21:25:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.003
            [max_drawdown] => 0.02496
            [rr_ratio] => 0.12
            [high] => 0.16986000
            [low] => 0.14190000
            [mfe_pct] => 2.07
            [mae_pct] => 17.23
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T19:25:33-04:00
            [end_at] => 2025-05-11T01:25:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14617000
            [high_after] => 0.16986000
            [low_before] => 0.13920000
            [low_after] => 0.14190000
            [is_new_high] => 
            [is_new_low] => 
        )

)