Short Trade on JUP 15 Sep 2025 at 14:14:37

Take profit at 0.4988 (0.91 %) and Stop Loss at 0.5057 (0.46 %)

Short Trade on JUP

The 15 Sep 2025 at 14:14:37

With 3464.4902 JUP at 0.5034$ per unit.

Position size of 1744.0244 $

Take profit at 0.4988 (0.91 %) and Stop Loss at 0.5057 (0.46 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.66
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 : 0.670757

15m : -0.075239

1H : 0.02425

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001539428041
Details
  1. score: 1.02
  2. 1H
  3. ema9 : 0.505869
  4. ema21 : 0.516407
  5. ema50 : 0.529675
  6. ema100 : 0.536107
  7. price_ema9_diff : -0.00488216
  8. ema9_ema21_diff : -0.0204062
  9. ema21_ema50_diff : -0.0250489
  10. price_ema100_diff : -0.0610083
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.498884
  14. ema_slope_21 : -0.367921
  15. ema_slope_50 : -0.220693
  16. ema_slope_100 : -0.122175
  17. rsi : 0.343864
  18. adx : 0.356901
  19. kc_percentage : 0.0570156
  20. kc_width_percentage : 0.0550203
  21. volume_ema_diff : -0.000384801
  22. volume_ema1 : 820561.05903474
  23. volume_ema2 : 820876.93343294
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.500561
  28. ema21 : 0.502491
  29. ema50 : 0.510569
  30. ema100 : 0.520168
  31. price_ema9_diff : 0.00566969
  32. ema9_ema21_diff : -0.00384046
  33. ema21_ema50_diff : -0.015821
  34. price_ema100_diff : -0.0322374
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0785712
  38. ema_slope_21 : -0.10384
  39. ema_slope_50 : -0.111706
  40. ema_slope_100 : -0.0899235
  41. rsi : 0.48581
  42. adx : 0.452459
  43. kc_percentage : 0.584066
  44. kc_width_percentage : 0.0273373
  45. volume_ema_diff : -0.0831432
  46. volume_ema1 : 245157.30532212
  47. volume_ema2 : 267388.87880758
  48. regime : bear_medium
  49. ¸
  50. 5m
  51. ema9 : 0.502018
  52. ema21 : 0.500307
  53. ema50 : 0.50104
  54. ema100 : 0.50343
  55. price_ema9_diff : 0.00275165
  56. ema9_ema21_diff : 0.00342038
  57. ema21_ema50_diff : -0.00146232
  58. price_ema100_diff : -6.02074E-5
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0935839
  62. ema_slope_21 : 0.0401935
  63. ema_slope_50 : -0.00149631
  64. ema_slope_100 : -0.0122853
  65. rsi : 0.634756
  66. adx : 0.274211
  67. kc_percentage : 1.02464
  68. kc_width_percentage : 0.0115071
  69. volume_ema_diff : -0.234521
  70. volume_ema1 : 68382.396487623
  71. volume_ema2 : 89332.82872238
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    114769
  77. 5m_price_ema100_diff:
    0.00114191
  78. 5m_price:
    114900
  79. 5m_correlation_with_coin:
    0.670757
  80. btc_indicators
  81. 15m_ema100:
    115188
  82. 15m_price_ema100_diff:
    -0.00250508
  83. 15m_price:
    114900
  84. 15m_correlation_with_coin:
    -0.075239
  85. btc_indicators
  86. 1H_ema100:
    115253
  87. 1H_price_ema100_diff:
    -0.00306356
  88. 1H_price:
    114900
  89. 1H_correlation_with_coin:
    0.02425
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
14:14:37
15 Sep 2025
14:25:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.5034 0.5057 0.4988 2 0.1553
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 0.5034
  • Stop Loss: 0.5057
  • Take Profit: 0.4988

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.5057 - 0.5034 = 0.0023000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.5034 - 0.4988 = 0.0045999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0045999999999999 / 0.0023000000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
1744.0244 100 3464.4902 17.44
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 0.0023000000000001

Taille de position = 8 / 0.0023000000000001 = 3478.26

Taille de position USD = 3478.26 x 0.5034 = 1750.96

Donc, tu peux acheter 3478.26 avec un stoploss a 0.5057

Avec un position size USD de 1750.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 3478.26 x 0.0023000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 3478.26 x 0.0045999999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 3478.26
  • Taille de position USD 1750.96
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.91 % 15.94 $
SL % Target SL $ Target
0.46 % 7.97 $
PNL PNL %
-7.97 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4768 % 104.36 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.4988
            [entry_price] => 0.5034
            [stop_loss] => 0.50593
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 14:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.4988
            [entry_price] => 0.5034
            [stop_loss] => 0.50616
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 14:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.4988
            [entry_price] => 0.5034
            [stop_loss] => 0.50639
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 14:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.4988
            [entry_price] => 0.5034
            [stop_loss] => 0.50685
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 14:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00069999999999992
            [max_drawdown] => 0.0063000000000001
            [rr_ratio] => 0.11
            [high] => 0.50970000
            [low] => 0.50270000
            [mfe_pct] => 0.14
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T14:14:37-04:00
            [end_at] => 2025-09-15T16:14:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00069999999999992
            [max_drawdown] => 0.0069
            [rr_ratio] => 0.1
            [high] => 0.51030000
            [low] => 0.50270000
            [mfe_pct] => 0.14
            [mae_pct] => 1.37
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T14:14:37-04:00
            [end_at] => 2025-09-15T21:14:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.50820000
            [high_after] => 0.51030000
            [low_before] => 0.49310000
            [low_after] => 0.50270000
            [is_new_high] => 
            [is_new_low] => 
        )

)