Short Trade on JUP 15 Sep 2025 at 13:49:04

Take profit at 0.4963 (1.04 %) and Stop Loss at 0.5041 (0.52 %)

Short Trade on JUP

The 15 Sep 2025 at 13:49:04

With 3087.1717 JUP at 0.5015$ per unit.

Position size of 1548.2166 $

Take profit at 0.4963 (1.04 %) and Stop Loss at 0.5041 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: -0.03
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.5
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.67941

15m : 0.092082

1H : 0.084688

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.001727579135
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.505967
  4. ema21 : 0.517472
  5. ema50 : 0.530661
  6. ema100 : 0.536826
  7. price_ema9_diff : -0.00882898
  8. ema9_ema21_diff : -0.0222329
  9. ema21_ema50_diff : -0.024854
  10. price_ema100_diff : -0.0658065
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.512573
  14. ema_slope_21 : -0.360891
  15. ema_slope_50 : -0.212168
  16. ema_slope_100 : -0.116379
  17. rsi : 0.319554
  18. adx : 0.355083
  19. kc_percentage : -0.0227297
  20. kc_width_percentage : 0.0580333
  21. volume_ema_diff : 0.303019
  22. volume_ema1 : 1105396.3369854
  23. volume_ema2 : 848334.37645956
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.499332
  28. ema21 : 0.502164
  29. ema50 : 0.510691
  30. ema100 : 0.519959
  31. price_ema9_diff : 0.00434088
  32. ema9_ema21_diff : -0.00563926
  33. ema21_ema50_diff : -0.0166975
  34. price_ema100_diff : -0.0355012
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.114405
  38. ema_slope_21 : -0.121023
  39. ema_slope_50 : -0.118352
  40. ema_slope_100 : -0.091052
  41. rsi : 0.4485
  42. adx : 0.491043
  43. kc_percentage : 0.472573
  44. kc_width_percentage : 0.0271576
  45. volume_ema_diff : -0.0934744
  46. volume_ema1 : 242290.70641647
  47. volume_ema2 : 267273.99805477
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.498388
  52. ema21 : 0.498163
  53. ema50 : 0.500425
  54. ema100 : 0.503415
  55. price_ema9_diff : 0.00624311
  56. ema9_ema21_diff : 0.000452255
  57. ema21_ema50_diff : -0.00452134
  58. price_ema100_diff : -0.00380549
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.012001
  62. ema_slope_21 : -0.0183614
  63. ema_slope_50 : -0.0320589
  64. ema_slope_100 : -0.0279935
  65. rsi : 0.61322
  66. adx : 0.258512
  67. kc_percentage : 1.0016
  68. kc_width_percentage : 0.0134541
  69. volume_ema_diff : 0.48974
  70. volume_ema1 : 145138.68602967
  71. volume_ema2 : 97425.452244274
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114775
  77. 5m_price_ema100_diff:
    0.000565676
  78. 5m_price:
    114840
  79. 5m_correlation_with_coin:
    0.67941
  80. btc_indicators
  81. 15m_ema100:
    115168
  82. 15m_price_ema100_diff:
    -0.00285043
  83. 15m_price:
    114840
  84. 15m_correlation_with_coin:
    0.092082
  85. btc_indicators
  86. 1H_ema100:
    115293
  87. 1H_price_ema100_diff:
    -0.00392965
  88. 1H_price:
    114840
  89. 1H_correlation_with_coin:
    0.084688
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
13:49:04
15 Sep 2025
13:55:00
5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5015 0.5041 0.4963 2 0.1464
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 0.5015
  • Stop Loss: 0.5041
  • Take Profit: 0.4963

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5041 - 0.5015 = 0.0026

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5015 - 0.4963 = 0.0051999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0051999999999999 / 0.0026 = 2

📌 Position Size

Amount Margin Quantity Leverage
1548.2166 100 3087.1717 15.48
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 0.0026

Taille de position = 8 / 0.0026 = 3076.92

Taille de position USD = 3076.92 x 0.5015 = 1543.08

Donc, tu peux acheter 3076.92 avec un stoploss a 0.5041

Avec un position size USD de 1543.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3076.92 x 0.0026 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3076.92 x 0.0051999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3076.92
  • Taille de position USD 1543.08
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.04 % 16.05 $
SL % Target SL $ Target
0.52 % 8.03 $
PNL PNL %
-8.03 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5583 % 107.7 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4963
            [entry_price] => 0.5015
            [stop_loss] => 0.50436
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4963
            [entry_price] => 0.5015
            [stop_loss] => 0.50462
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4963
            [entry_price] => 0.5015
            [stop_loss] => 0.50488
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 14:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4963
            [entry_price] => 0.5015
            [stop_loss] => 0.5054
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 14:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00020000000000009
            [max_drawdown] => 0.0082000000000001
            [rr_ratio] => -0.02
            [high] => 0.50970000
            [low] => 0.50170000
            [mfe_pct] => -0.04
            [mae_pct] => 1.64
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T13:49:04-04:00
            [end_at] => 2025-09-15T15:49:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00020000000000009
            [max_drawdown] => 0.0088
            [rr_ratio] => -0.02
            [high] => 0.51030000
            [low] => 0.50170000
            [mfe_pct] => -0.04
            [mae_pct] => 1.75
            [mfe_mae_ratio] => -0.02
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T13:49:04-04:00
            [end_at] => 2025-09-15T20:49:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.50950000
            [high_after] => 0.51030000
            [low_before] => 0.49310000
            [low_after] => 0.50170000
            [is_new_high] => 
            [is_new_low] => 
        )

)