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Short Trade on JUP

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Short Trade on JUP 14 Aug 2025 at 19:35:59

Take profit at 0.5089 (0.7 %) and Stop Loss at 0.5149 (0.47 %)

Short Trade on JUP

The 14 Aug 2025 at 19:35:59

With 3332.2007 JUP at 0.5125$ per unit.

Position size of 1707.7529 $

Take profit at 0.5089 (0.7 %) and Stop Loss at 0.5149 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 60
ML Pullback Score: 4.2
Prediction Score: -0.4625
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.54
Prediction 3 Probability
0 0.8
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : -0.019572

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.001600543852
Details
  1. score: 1.23
  2. 1H
  3. ema9 : 0.511576
  4. ema21 : 0.521771
  5. ema50 : 0.529466
  6. ema100 : 0.529541
  7. price_ema9_diff : 0.00180494
  8. ema9_ema21_diff : -0.0195381
  9. ema21_ema50_diff : -0.0145337
  10. price_ema100_diff : -0.0321808
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.401872
  14. adx : 0.424443
  15. kc_percentage : 0.294761
  16. kc_width_percentage : 0.0817426
  17. volume_ema_diff : -0.674606
  18. volume_ema1 : 392761.68873579
  19. volume_ema2 : 1207034.5036331
    20. ¸
  20. 15m
  21. ema9 : 0.508216
  22. ema21 : 0.508293
  23. ema50 : 0.515061
  24. ema100 : 0.525734
  25. price_ema9_diff : 0.00842827
  26. ema9_ema21_diff : -0.000151994
  27. ema21_ema50_diff : -0.0131385
  28. price_ema100_diff : -0.0251724
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.551416
  32. adx : 0.259305
  33. kc_percentage : 0.815158
  34. kc_width_percentage : 0.0268309
  35. volume_ema_diff : -0.796448
  36. volume_ema1 : 43853.822997464
  37. volume_ema2 : 215443.43116812
    38. ¸
  38. 5m
  39. ema9 : 0.510155
  40. ema21 : 0.508073
  41. ema50 : 0.50745
  42. ema100 : 0.509274
  43. price_ema9_diff : 0.00459603
  44. ema9_ema21_diff : 0.00409687
  45. ema21_ema50_diff : 0.00122867
  46. price_ema100_diff : 0.00633339
  47. all_emas_in_trend : True
  48. all_emas_and_price_in_trend : True
  49. rsi : 0.69474
  50. adx : 0.269347
  51. kc_percentage : 1.22723
  52. kc_width_percentage : 0.0115944
  53. volume_ema_diff : -0.692494
  54. volume_ema1 : 9228.4747035068
  55. volume_ema2 : 30010.787094204
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 
    118039
  59. 5m_price_ema100_diff: 
    0.00330595
  60. 5m_price: 
    118430
  61. 5m_correlation_with_coin: 
    -0.019572
  62. btc_indicators
  63. 15m_ema100: 
    119862
  64. 15m_price_ema100_diff: 
    -0.0119504
  65. 15m_price: 
    118430
  66. btc_indicators
  67. 1H_ema100: 
    119889
  68. 1H_price_ema100_diff: 
    -0.0121725
  69. 1H_price: 
    118430
    70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
14 Aug 2025
19:35:59		 14 Aug 2025
19:55:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5125 0.5149 0.5089 1.5 0.1547
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 0.5125
  • Stop Loss: 0.5149
  • Take Profit: 0.5089

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5149 - 0.5125 = 0.0024000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5125 - 0.5089 = 0.0035999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0035999999999999 / 0.0024000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1707.7529 100 3332.2007 17.08
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 0.0024000000000001

Taille de position = 8 / 0.0024000000000001 = 3333.33

Taille de position USD = 3333.33 x 0.5125 = 1708.33

Donc, tu peux acheter 3333.33 avec un stoploss a 0.5149

Avec un position size USD de 1708.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3333.33 x 0.0024000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3333.33 x 0.0035999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 3333.33
  • Taille de position USD 1708.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.7 % 12 $
SL % Target SL $ Target
0.47 % 8 $
PNL PNL %
12 $ 0.70
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5077
            [stop_loss] => 0.5149
            [rr_ratio] => 2
            [closed_at] => 2025-08-14 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.5065
            [stop_loss] => 0.5149
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-14 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5053
            [stop_loss] => 0.5149
            [rr_ratio] => 3
            [closed_at] => 2025-08-14 21:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.5041
            [stop_loss] => 0.5149
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.5029
            [stop_loss] => 0.5149
            [rr_ratio] => 4
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.5017
            [stop_loss] => 0.5149
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.5005
            [stop_loss] => 0.5149
            [rr_ratio] => 5
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.4993
            [stop_loss] => 0.5149
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.4981
            [stop_loss] => 0.5149
            [rr_ratio] => 6
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.4969
            [stop_loss] => 0.5149
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.4957
            [stop_loss] => 0.5149
            [rr_ratio] => 7
            [closed_at] => 2025-08-14 22:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0075
            [max_drawdown] => 0.00050000000000006
            [rr_ratio] => 15
            [high] => 0.51300000
            [low] => 0.50500000
            [mfe_pct] => 1.46
            [mae_pct] => 0.1
            [mfe_mae_ratio] => 15
            [candles_analyzed] => 24
            [start_at] => 2025-08-14T19:35:59-04:00
            [end_at] => 2025-08-14T21:35:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0075
            [max_drawdown] => 0.0223
            [rr_ratio] => 0.34
            [high] => 0.53480000
            [low] => 0.50500000
            [mfe_pct] => 1.46
            [mae_pct] => 4.35
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 84
            [start_at] => 2025-08-14T19:35:59-04:00
            [end_at] => 2025-08-15T02:35:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.51340000
            [high_after] => 0.52550000
            [low_before] => 0.49670000
            [low_after] => 0.50500000
            [is_new_high] => 
            [is_new_low] => 
        )

)