Short Trade on RENDER

The 04 May 2025 at 16:49:38

With 370.4469 RENDER at 4.36$ per unit.

Position size of 1615.1484 $

Take profit at 4.3276 (0.74 %) and Stop Loss at 4.3816 (0.5 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 6.26
Prediction Score: -6.0008
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
1 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: 0.14
  4. atr: 0.01439702552
Details
  1. score: 1.14
  2. 1H
  3. ema9 - 4.34206
  4. ema21 - 4.41462
  5. ema50 - 4.51128
  6. price_ema9_diff - 0.00406311
  7. ema9_ema21_diff - -0.0164358
  8. ema21_ema50_diff - -0.0214271
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.391706
  12. kc_percentage - 0.305542
  13. kc_width_percentage - 0.0578706
  14. ¸
  15. 15m
  16. ema9 - 4.3239
  17. ema21 - 4.32096
  18. ema50 - 4.3632
  19. price_ema9_diff - 0.00835302
  20. ema9_ema21_diff - 0.000680641
  21. ema21_ema50_diff - -0.00968161
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.579181
  25. kc_percentage - 0.859627
  26. kc_width_percentage - 0.02538
  27. ¸
  28. 5m
  29. ema9 - 4.33723
  30. ema21 - 4.3208
  31. ema50 - 4.31353
  32. price_ema9_diff - 0.00526886
  33. ema9_ema21_diff - 0.00380169
  34. ema21_ema50_diff - 0.00168632
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.692603
  38. kc_percentage - 1.14388
  39. kc_width_percentage - 0.0136325
  40. ¸

📌 Time Data

Start at Closed at Duration
04 May 2025
16:49:38
04 May 2025
17:05:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.36 4.3816 4.3276 1.5 1.515
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 4.36
  • Stop Loss: 4.3816
  • Take Profit: 4.3276

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.3816 - 4.36 = 0.021599999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.36 - 4.3276 = 0.0324

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0324 / 0.021599999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1615.1484 100 370.4469 16.15
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 0.021599999999999

Taille de position = 8 / 0.021599999999999 = 370.37

Taille de position USD = 370.37 x 4.36 = 1614.81

Donc, tu peux acheter 370.37 avec un stoploss a 4.3816

Avec un position size USD de 1614.81$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 370.37 x 0.021599999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 370.37 x 0.0324 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 370.37
  • Taille de position USD 1614.81
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.74 % 12 $
SL % Target SL $ Target
0.5 % 8 $
PNL PNL %
-8.15 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.6651376146789 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.328
            [entry_price] => 4.36
            [stop_loss] => 4.3842
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 17:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.328
            [entry_price] => 4.36
            [stop_loss] => 4.3864
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 17:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.328
            [entry_price] => 4.36
            [stop_loss] => 4.3886
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 17:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.328
            [entry_price] => 4.36
            [stop_loss] => 4.393
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 18:30:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.063000000000001
            [max_drawdown] => 0.029
            [rr_ratio] => 2.17
            [high] => 4.38900000
            [low] => 4.29700000
            [mfe_pct] => 1.44
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 2.17
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T16:49:38-04:00
            [end_at] => 2025-05-04T18:49:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.122
            [max_drawdown] => 0.029
            [rr_ratio] => 4.21
            [high] => 4.38900000
            [low] => 4.23800000
            [mfe_pct] => 2.8
            [mae_pct] => 0.67
            [mfe_mae_ratio] => 4.21
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T16:49:38-04:00
            [end_at] => 2025-05-04T22:49:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.36400000
            [high_after] => 4.38900000
            [low_before] => 4.24900000
            [low_after] => 4.23800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)