Short Trade on APT

The 27 Apr 2025 at 23:27:58

With 278.5045 APT at 5.4063$ per unit.

Position size of 1505.6787 $

Take profit at 5.3632 (0.8 %) and Stop Loss at 5.435 (0.53 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.12
Prediction Score: -0.9068
Prediction 1 Probability
Weak 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: 0.06
  4. atr: 0.01914990229
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 5.38519
  4. ema21 - 5.42097
  5. ema50 - 5.46674
  6. price_ema9_diff - 0.00389378
  7. ema9_ema21_diff - -0.00660029
  8. ema21_ema50_diff - -0.00837332
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.468609
  12. kc_percentage - 0.455821
  13. kc_width_percentage - 0.049552
  14. ¸
  15. 15m
  16. ema9 - 5.36191
  17. ema21 - 5.36446
  18. ema50 - 5.39005
  19. price_ema9_diff - 0.00827426
  20. ema9_ema21_diff - -0.000475654
  21. ema21_ema50_diff - -0.00474735
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.566743
  25. kc_percentage - 0.792564
  26. kc_width_percentage - 0.0269568
  27. ¸
  28. 5m
  29. ema9 - 5.38349
  30. ema21 - 5.36394
  31. ema50 - 5.36165
  32. price_ema9_diff - 0.00425128
  33. ema9_ema21_diff - 0.0036456
  34. ema21_ema50_diff - 0.000425715
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.654445
  38. kc_percentage - 1.06267
  39. kc_width_percentage - 0.0136247
  40. ¸

📌 Time Data

Start at Closed at Duration
27 Apr 2025
23:27:58
27 Apr 2025
23:30:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.4063 5.435 5.3632 1.5 1.649
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 5.4063
  • Stop Loss: 5.435
  • Take Profit: 5.3632

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.435 - 5.4063 = 0.0287

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.4063 - 5.3632 = 0.0431

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0431 / 0.0287 = 1.5017

📌 Position Size

Amount Margin Quantity Leverage
1505.6787 100 278.5045 15.06
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 0.0287

Taille de position = 8 / 0.0287 = 278.75

Taille de position USD = 278.75 x 5.4063 = 1507.01

Donc, tu peux acheter 278.75 avec un stoploss a 5.435

Avec un position size USD de 1507.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 278.75 x 0.0287 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 278.75 x 0.0431 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 278.75
  • Taille de position USD 1507.01
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5017

📌 Peformances

TP % Target TP $ Target
0.8 % 12 $
SL % Target SL $ Target
0.53 % 7.99 $
PNL PNL %
-8.08 $ -0.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9970403255642 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.363
            [entry_price] => 5.406
            [stop_loss] => 5.4379
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 23:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.363
            [entry_price] => 5.406
            [stop_loss] => 5.4408
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 23:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.363
            [entry_price] => 5.406
            [stop_loss] => 5.4437
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 23:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.363
            [entry_price] => 5.406
            [stop_loss] => 5.4495
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 23:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0104
            [max_drawdown] => 0.0881
            [rr_ratio] => -0.12
            [high] => 5.49440000
            [low] => 5.41670000
            [mfe_pct] => -0.19
            [mae_pct] => 1.63
            [mfe_mae_ratio] => -0.12
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T23:27:58-04:00
            [end_at] => 2025-04-28T01:27:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.0104
            [max_drawdown] => 0.2593
            [rr_ratio] => -0.04
            [high] => 5.66560000
            [low] => 5.41670000
            [mfe_pct] => -0.19
            [mae_pct] => 4.8
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T23:27:58-04:00
            [end_at] => 2025-04-28T05:27:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.42170000
            [high_after] => 5.66560000
            [low_before] => 5.24800000
            [low_after] => 5.41670000
            [is_new_high] => 
            [is_new_low] => 
        )

)