Short Trade on APT

The 07 Apr 2025 at 04:41:15

With 141.4984 APT at 4.1828$ per unit.

Position size of 591.8593 $

Take profit at 4.098 (2.03 %) and Stop Loss at 4.2393 (1.35 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.29
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: 0.16
  4. atr: 0.03769183897
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 4.18946
  4. ema21 - 4.34284
  5. ema50 - 4.55988
  6. price_ema9_diff - -0.00153454
  7. ema9_ema21_diff - -0.0353174
  8. ema21_ema50_diff - -0.0475986
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.379095
  12. kc_percentage - 0.217023
  13. kc_width_percentage - 0.125964
  14. ¸
  15. 15m
  16. ema9 - 4.09093
  17. ema21 - 4.13823
  18. ema50 - 4.2513
  19. price_ema9_diff - 0.0221983
  20. ema9_ema21_diff - -0.0114281
  21. ema21_ema50_diff - -0.026598
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.516942
  25. kc_percentage - 0.662552
  26. kc_width_percentage - 0.0721339
  27. ¸
  28. 5m
  29. ema9 - 4.11614
  30. ema21 - 4.08452
  31. ema50 - 4.11798
  32. price_ema9_diff - 0.0163189
  33. ema9_ema21_diff - 0.00774054
  34. ema21_ema50_diff - -0.00812527
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.661053
  38. kc_percentage - 1.16387
  39. kc_width_percentage - 0.0352379
  40. ¸

📌 Time Data

Start at Closed at Duration
07 Apr 2025
04:41:15
07 Apr 2025
05:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.1828 4.2393 4.098 1.5 1.6513
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 4.1828
  • Stop Loss: 4.2393
  • Take Profit: 4.098

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.2393 - 4.1828 = 0.0565

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.1828 - 4.098 = 0.0848

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0848 / 0.0565 = 1.5009

📌 Position Size

Amount Margin Quantity Leverage
591.8593 100 141.4984 5.92
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 0.0565

Taille de position = 8 / 0.0565 = 141.59

Taille de position USD = 141.59 x 4.1828 = 592.24

Donc, tu peux acheter 141.59 avec un stoploss a 4.2393

Avec un position size USD de 592.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 141.59 x 0.0565 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 141.59 x 0.0848 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 141.59
  • Taille de position USD 592.24
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5009

📌 Peformances

TP % Target TP $ Target
2.03 % 12 $
SL % Target SL $ Target
1.35 % 7.99 $
PNL PNL %
-7.92 $ -1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3554864929477 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.098
            [entry_price] => 4.183
            [stop_loss] => 4.2446
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-07 06:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.098
            [entry_price] => 4.183
            [stop_loss] => 4.2502
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-07 06:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.098
            [entry_price] => 4.183
            [stop_loss] => 4.2558
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-07 06:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.098
            [entry_price] => 4.183
            [stop_loss] => 4.267
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-07 06:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029100000000001
            [max_drawdown] => 0.1017
            [rr_ratio] => 0.29
            [high] => 4.28450000
            [low] => 4.15370000
            [mfe_pct] => 0.7
            [mae_pct] => 2.43
            [mfe_mae_ratio] => 0.29
            [candles_analyzed] => 24
            [start_at] => 2025-04-07T04:41:15-04:00
            [end_at] => 2025-04-07T06:41:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0388
            [max_drawdown] => 0.3755
            [rr_ratio] => 0.1
            [high] => 4.55830000
            [low] => 4.14400000
            [mfe_pct] => 0.93
            [mae_pct] => 8.98
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 72
            [start_at] => 2025-04-07T04:41:15-04:00
            [end_at] => 2025-04-07T10:41:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.27510000
            [high_after] => 4.55830000
            [low_before] => 3.88800000
            [low_after] => 4.14400000
            [is_new_high] => 
            [is_new_low] => 
        )

)