Short Trade on POL

The 27 Apr 2025 at 15:45:14

With 9576.8794 POL at 0.2407$ per unit.

Position size of 2305.1549 $

Take profit at 0.2394 (0.54 %) and Stop Loss at 0.2415 (0.33 %)

That's a 1.63 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 6.39
Prediction Score: 1.259
Prediction 1 Probability
Weak 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: 0.07
  4. atr: 0.000556896785
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.240429
  4. ema21 - 0.242376
  5. ema50 - 0.243683
  6. price_ema9_diff - 0.00111794
  7. ema9_ema21_diff - -0.00803289
  8. ema21_ema50_diff - -0.0053654
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.44814
  12. kc_percentage - 0.370032
  13. kc_width_percentage - 0.049572
  14. ¸
  15. 15m
  16. ema9 - 0.239658
  17. ema21 - 0.23965
  18. ema50 - 0.241141
  19. price_ema9_diff - 0.00434571
  20. ema9_ema21_diff - 3.22622E-5
  21. ema21_ema50_diff - -0.00618239
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.547992
  25. kc_percentage - 0.750948
  26. kc_width_percentage - 0.0179856
  27. ¸
  28. 5m
  29. ema9 - 0.239905
  30. ema21 - 0.23945
  31. ema50 - 0.239294
  32. price_ema9_diff - 0.00331649
  33. ema9_ema21_diff - 0.00190044
  34. ema21_ema50_diff - 0.0006519
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.641656
  38. kc_percentage - 1.07091
  39. kc_width_percentage - 0.00890935
  40. ¸

📌 Time Data

Start at Closed at Duration
27 Apr 2025
15:45:14
27 Apr 2025
16:55:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2407 0.2415 0.2394 1.63 0.1199
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 0.2407
  • Stop Loss: 0.2415
  • Take Profit: 0.2394

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2415 - 0.2407 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2407 - 0.2394 = 0.0013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0013 / 0.0008 = 1.625

📌 Position Size

Amount Margin Quantity Leverage
2305.1549 100 9576.8794 23.05
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.2407 = 2407

Donc, tu peux acheter 10000 avec un stoploss a 0.2415

Avec un position size USD de 2407$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0013 = 13

Si Take Profit atteint, tu gagneras 13$

Résumé

  • Taille de position 10000
  • Taille de position USD 2407
  • Perte potentielle 8
  • Gain potentiel 13
  • Risk-Reward Ratio 1.625

📌 Peformances

TP % Target TP $ Target
0.54 % 12.45 $
SL % Target SL $ Target
0.33 % 7.66 $
PNL PNL %
-7.66 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.41545492314084 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2394
            [entry_price] => 0.2407
            [stop_loss] => 0.24158
            [rr_ratio] => 1.48
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 16:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2394
            [entry_price] => 0.2407
            [stop_loss] => 0.24166
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 16:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2394
            [entry_price] => 0.2407
            [stop_loss] => 0.24174
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 17:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.2394
            [entry_price] => 0.2407
            [stop_loss] => 0.2419
            [rr_ratio] => 1.08
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 17:00:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.002
            [max_drawdown] => 0.0015
            [rr_ratio] => 1.33
            [high] => 0.24220000
            [low] => 0.23870000
            [mfe_pct] => 0.83
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T15:45:14-04:00
            [end_at] => 2025-04-27T17:45:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0113
            [max_drawdown] => 0.0017
            [rr_ratio] => 6.65
            [high] => 0.24240000
            [low] => 0.22940000
            [mfe_pct] => 4.69
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 6.65
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T15:45:14-04:00
            [end_at] => 2025-04-27T21:45:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24100000
            [high_after] => 0.24240000
            [low_before] => 0.23640000
            [low_after] => 0.22940000
            [is_new_high] => 
            [is_new_low] => 1
        )

)