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Short Trade on RENDER

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Short Trade on RENDER 30 May 2025 at 15:05:27

Take profit at 3.9423 (1.1 %) and Stop Loss at 4.0151 (0.73 %)

Short Trade on RENDER

The 30 May 2025 at 15:05:27

With 274.8459 RENDER at 3.986$ per unit.

Position size of 1095.5358 $

Take profit at 3.9423 (1.1 %) and Stop Loss at 4.0151 (0.73 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 10
Prediction Score: 0.2437
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
1 0.4
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.823677

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.019404812
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 4.01307
  4. ema21 : 4.09482
  5. ema50 : 4.23796
  6. ema100 : 4.3988
  7. price_ema9_diff : -0.00674689
  8. ema9_ema21_diff : -0.0199647
  9. ema21_ema50_diff : -0.0337746
  10. price_ema100_diff : -0.0938457
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.334986
  14. kc_percentage : 0.186334
  15. kc_width_percentage : 0.0821756
    16. ¸
  16. 15m
  17. ema9 : 3.95225
  18. ema21 : 3.96967
  19. ema50 : 4.03056
  20. ema100 : 4.0993
  21. price_ema9_diff : 0.00853744
  22. ema9_ema21_diff : -0.00438797
  23. ema21_ema50_diff : -0.0151069
  24. price_ema100_diff : -0.0276409
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.504117
  28. kc_percentage : 0.61497
  29. kc_width_percentage : 0.0405887
    30. ¸
  30. 5m
  31. ema9 : 3.96963
  32. ema21 : 3.94814
  33. ema50 : 3.9555
  34. ema100 : 3.99301
  35. price_ema9_diff : 0.00412268
  36. ema9_ema21_diff : 0.00544295
  37. ema21_ema50_diff : -0.00186184
  38. price_ema100_diff : -0.00175598
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.629513
  42. kc_percentage : 1.02352
  43. kc_width_percentage : 0.017701
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104999
  47. 5m_price_ema100_diff: 
    -0.00269283
  48. 5m_price: 
    104717
  49. 5m_correlation_with_coin: 
    0.823677
  50. btc_indicators
  51. 15m_ema100: 
    105456
  52. 15m_price_ema100_diff: 
    -0.00701465
  53. 15m_price: 
    104717
  54. btc_indicators
  55. 1H_ema100: 
    107283
  56. 1H_price_ema100_diff: 
    -0.0239228
  57. 1H_price: 
    104717
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
15:05:27		 30 May 2025
17:45:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.986 4.0151 3.9423 1.5 1.338
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 3.986
  • Stop Loss: 4.0151
  • Take Profit: 3.9423

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.0151 - 3.986 = 0.0291

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.986 - 3.9423 = 0.0437

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0437 / 0.0291 = 1.5017

📌 Position Size

Amount Margin Quantity Leverage
1095.5358 100 274.8459 10.96
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 0.0291

Taille de position = 8 / 0.0291 = 274.91

Taille de position USD = 274.91 x 3.986 = 1095.79

Donc, tu peux acheter 274.91 avec un stoploss a 4.0151

Avec un position size USD de 1095.79$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 274.91 x 0.0291 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 274.91 x 0.0437 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 274.91
  • Taille de position USD 1095.79
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5017

📌 Peformances

TP % Target TP $ Target
1.1 % 12.01 $
SL % Target SL $ Target
0.73 % 8 $
PNL PNL %
12.09 $ 1.10
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.17561465127947 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.928
            [stop_loss] => 4.015
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 17:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.9135
            [stop_loss] => 4.015
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.899
            [stop_loss] => 4.015
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.8845
            [stop_loss] => 4.015
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.87
            [stop_loss] => 4.015
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.8555
            [stop_loss] => 4.015
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.841
            [stop_loss] => 4.015
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.8265
            [stop_loss] => 4.015
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 3.812
            [stop_loss] => 4.015
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 3.7975
            [stop_loss] => 4.015
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 3.783
            [stop_loss] => 4.015
            [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] => 0.039
            [max_drawdown] => 0.0069999999999997
            [rr_ratio] => 5.57
            [high] => 3.99300000
            [low] => 3.94700000
            [mfe_pct] => 0.98
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 5.57
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T15:05:27-04:00
            [end_at] => 2025-05-30T17:05:27-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.324
            [max_drawdown] => 0.0069999999999997
            [rr_ratio] => 46.29
            [high] => 3.99300000
            [low] => 3.66200000
            [mfe_pct] => 8.13
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 46.29
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T15:05:27-04:00
            [end_at] => 2025-05-30T21:05:27-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.05100000
            [high_after] => 3.99300000
            [low_before] => 3.78000000
            [low_after] => 3.66200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)