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Short Trade on RENDER

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Short Trade on RENDER 30 May 2025 at 14:55:55

Take profit at 3.932 (1.16 %) and Stop Loss at 4.0087 (0.77 %)

Short Trade on RENDER

The 30 May 2025 at 14:55:55

With 260.6128 RENDER at 3.978$ per unit.

Position size of 1036.7177 $

Take profit at 3.932 (1.16 %) and Stop Loss at 4.0087 (0.77 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 7.3
Prediction Score: -0.8333
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
0 0.39
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.82327

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.02046458661
Details
  1. score: 1
  2. 1H
  3. ema9 : 3.99714
  4. ema21 : 4.08479
  5. ema50 : 4.23365
  6. ema100 : 4.39765
  7. price_ema9_diff : -0.00478843
  8. ema9_ema21_diff : -0.0214598
  9. ema21_ema50_diff : -0.0351604
  10. price_ema100_diff : -0.0954272
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.363168
  14. kc_percentage : 0.207085
  15. kc_width_percentage : 0.0861572
    16. ¸
  16. 15m
  17. ema9 : 3.9412
  18. ema21 : 3.96491
  19. ema50 : 4.03003
  20. ema100 : 4.10305
  21. price_ema9_diff : 0.00933646
  22. ema9_ema21_diff : -0.00598097
  23. ema21_ema50_diff : -0.0161585
  24. price_ema100_diff : -0.0304783
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.495812
  28. kc_percentage : 0.593849
  29. kc_width_percentage : 0.042008
    30. ¸
  30. 5m
  31. ema9 : 3.95917
  32. ema21 : 3.93958
  33. ema50 : 3.95243
  34. ema100 : 3.99122
  35. price_ema9_diff : 0.00475381
  36. ema9_ema21_diff : 0.00497354
  37. ema21_ema50_diff : -0.00325066
  38. price_ema100_diff : -0.00331416
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.612865
  42. kc_percentage : 1.00078
  43. kc_width_percentage : 0.0189549
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    105004
  47. 5m_price_ema100_diff: 
    -0.00147107
  48. 5m_price: 
    104849
  49. 5m_correlation_with_coin: 
    0.82327
  50. btc_indicators
  51. 15m_ema100: 
    105505
  52. 15m_price_ema100_diff: 
    -0.00621164
  53. 15m_price: 
    104849
  54. btc_indicators
  55. 1H_ema100: 
    107419
  56. 1H_price_ema100_diff: 
    -0.0239229
  57. 1H_price: 
    104849
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
14:55:55		 30 May 2025
17:45:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.978 4.0087 3.932 1.5 1.314
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 3.978
  • Stop Loss: 4.0087
  • Take Profit: 3.932

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.0087 - 3.978 = 0.0307

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.978 - 3.932 = 0.046

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.046 / 0.0307 = 1.4984

📌 Position Size

Amount Margin Quantity Leverage
1036.7177 100 260.6128 10.37
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 0.0307

Taille de position = 8 / 0.0307 = 260.59

Taille de position USD = 260.59 x 3.978 = 1036.63

Donc, tu peux acheter 260.59 avec un stoploss a 4.0087

Avec un position size USD de 1036.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 260.59 x 0.0307 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 260.59 x 0.046 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 260.59
  • Taille de position USD 1036.63
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4984

📌 Peformances

TP % Target TP $ Target
1.16 % 11.99 $
SL % Target SL $ Target
0.77 % 8 $
PNL PNL %
11.99 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.47762694821518 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.916
            [stop_loss] => 4.009
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.9005
            [stop_loss] => 4.009
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.885
            [stop_loss] => 4.009
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.8695
            [stop_loss] => 4.009
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.854
            [stop_loss] => 4.009
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.8385
            [stop_loss] => 4.009
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.823
            [stop_loss] => 4.009
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.8075
            [stop_loss] => 4.009
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.792
            [stop_loss] => 4.009
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.7765
            [stop_loss] => 4.009
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 19:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 3.761
            [stop_loss] => 4.009
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 19:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.031
            [max_drawdown] => 0.019
            [rr_ratio] => 1.63
            [high] => 3.99700000
            [low] => 3.94700000
            [mfe_pct] => 0.78
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 1.63
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T14:55:55-04:00
            [end_at] => 2025-05-30T16:55:55-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.305
            [max_drawdown] => 0.019
            [rr_ratio] => 16.05
            [high] => 3.99700000
            [low] => 3.67300000
            [mfe_pct] => 7.67
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 16.05
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T14:55:55-04:00
            [end_at] => 2025-05-30T20:55:55-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.05100000
            [high_after] => 3.99700000
            [low_before] => 3.78000000
            [low_after] => 3.67300000
            [is_new_high] => 
            [is_new_low] => 1
        )

)