Short Trade on UNI 15 Sep 2025 at 21:25:33

Take profit at 9.1666 (0.43 %) and Stop Loss at 9.2257 (0.21 %)

Short Trade on UNI

The 15 Sep 2025 at 21:25:33

With 405.6853 UNI at 9.206$ per unit.

Position size of 3734.7388 $

Take profit at 9.1666 (0.43 %) and Stop Loss at 9.2257 (0.21 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -70
ML Pullback Score: 5.58
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.58
Prediction 3 Probability
0 0.72
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.655513

15m : 0.037789

1H : 0.02359

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.01314647928
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 9.16348
  4. ema21 : 9.20749
  5. ema50 : 9.39812
  6. ema100 : 9.6088
  7. price_ema9_diff : 0.00463983
  8. ema9_ema21_diff : -0.00477969
  9. ema21_ema50_diff : -0.0202839
  10. price_ema100_diff : -0.0419206
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0365719
  14. ema_slope_21 : -0.109895
  15. ema_slope_50 : -0.136064
  16. ema_slope_100 : -0.108128
  17. rsi : 0.460129
  18. adx : 0.560206
  19. kc_percentage : 0.515168
  20. kc_width_percentage : 0.0308989
  21. volume_ema_diff : -0.677684
  22. volume_ema1 : 406631.97731753
  23. volume_ema2 : 1261595.4950105
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 9.16731
  28. ema21 : 9.15535
  29. ema50 : 9.15943
  30. ema100 : 9.20887
  31. price_ema9_diff : 0.00421942
  32. ema9_ema21_diff : 0.00130698
  33. ema21_ema50_diff : -0.00044513
  34. price_ema100_diff : -0.000312534
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0130638
  38. ema_slope_21 : 0.0143446
  39. ema_slope_50 : 0.000406996
  40. ema_slope_100 : -0.0121668
  41. rsi : 0.625626
  42. adx : 0.159737
  43. kc_percentage : 1.01257
  44. kc_width_percentage : 0.0105806
  45. volume_ema_diff : -0.112453
  46. volume_ema1 : 143900.16794455
  47. volume_ema2 : 162132.51325084
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 9.18363
  52. ema21 : 9.17064
  53. ema50 : 9.15778
  54. ema100 : 9.14151
  55. price_ema9_diff : 0.00243582
  56. ema9_ema21_diff : 0.00141635
  57. ema21_ema50_diff : 0.00140402
  58. price_ema100_diff : 0.00705441
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0251847
  62. ema_slope_21 : 0.015351
  63. ema_slope_50 : 0.00982106
  64. ema_slope_100 : 0.00807271
  65. rsi : 0.688211
  66. adx : 0.189438
  67. kc_percentage : 1.13962
  68. kc_width_percentage : 0.00588849
  69. volume_ema_diff : 0.511731
  70. volume_ema1 : 55689.708896225
  71. volume_ema2 : 36838.354827089
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115151
  77. 5m_price_ema100_diff:
    0.0012087
  78. 5m_price:
    115290
  79. 5m_correlation_with_coin:
    0.655513
  80. btc_indicators
  81. 15m_ema100:
    115124
  82. 15m_price_ema100_diff:
    0.000908973
  83. 15m_price:
    115229
  84. 15m_correlation_with_coin:
    0.037789
  85. btc_indicators
  86. 1H_ema100:
    115378
  87. 1H_price_ema100_diff:
    -0.000764
  88. 1H_price:
    115290
  89. 1H_correlation_with_coin:
    0.02359
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Sep 2025
21:25:33
15 Sep 2025
21:30:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
9.206 9.2257 9.1666 2 3.876
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 9.206
  • Stop Loss: 9.2257
  • Take Profit: 9.1666

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 9.2257 - 9.206 = 0.0197

  • Récompense (distance jusqu'au take profit):

    E - TP = 9.206 - 9.1666 = 0.039399999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.039399999999999 / 0.0197 = 2

📌 Position Size

Amount Margin Quantity Leverage
3734.7388 100 405.6853 37.35
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 0.0197

Taille de position = 8 / 0.0197 = 406.09

Taille de position USD = 406.09 x 9.206 = 3738.46

Donc, tu peux acheter 406.09 avec un stoploss a 9.2257

Avec un position size USD de 3738.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 406.09 x 0.0197 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 406.09 x 0.039399999999999 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 406.09
  • Taille de position USD 3738.46
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.43 % 15.98 $
SL % Target SL $ Target
0.21 % 7.99 $
PNL PNL %
-7.99 $ -0.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2498 % 116.73 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 9.1666
            [entry_price] => 9.206
            [stop_loss] => 9.22767
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-15 21:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 9.1666
            [entry_price] => 9.206
            [stop_loss] => 9.22964
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-15 21:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 9.1666
            [entry_price] => 9.206
            [stop_loss] => 9.23161
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-15 21:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 9.1666
            [entry_price] => 9.206
            [stop_loss] => 9.23555
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-15 21:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.08
            [max_drawdown] => 0.023
            [rr_ratio] => 3.48
            [high] => 9.22900000
            [low] => 9.12600000
            [mfe_pct] => 0.87
            [mae_pct] => 0.25
            [mfe_mae_ratio] => 3.48
            [candles_analyzed] => 24
            [start_at] => 2025-09-15T21:25:33-04:00
            [end_at] => 2025-09-15T23:25:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.152
            [max_drawdown] => 0.114
            [rr_ratio] => 1.33
            [high] => 9.32000000
            [low] => 9.05400000
            [mfe_pct] => 1.65
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 84
            [start_at] => 2025-09-15T21:25:33-04:00
            [end_at] => 2025-09-16T04:25:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 9.21100000
            [high_after] => 9.22900000
            [low_before] => 9.12500000
            [low_after] => 9.05400000
            [is_new_high] => 
            [is_new_low] => 1
        )

)