Short Trade on UXLINK

The 01 Sep 2025 at 05:03:51

With 5440.8737 UXLINK at 0.3202$ per unit.

Position size of 1742.1678 $

Take profit at 0.318 (0.69 %) and Stop Loss at 0.3217 (0.47 %)

That's a 1.47 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 130
ML Pullback Score: 8
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
1 0.85
Prediction 3 Probability
1 0.51
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : range_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.708623

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0009802347293
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 0.317487
  4. ema21 - 0.320511
  5. ema50 - 0.324183
  6. ema100 - 0.324082
  7. price_ema9_diff - 0.00854311
  8. ema9_ema21_diff - -0.00943539
  9. ema21_ema50_diff - -0.0113267
  10. price_ema100_diff - -0.0119798
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.468697
  14. adx - 0.294922
  15. kc_percentage - 0.494916
  16. kc_width_percentage - 0.0426493
  17. volume_ema_diff - -0.426031
  18. volume_ema1 - 170849.32577763
  19. volume_ema2 - 297663.37471888
  20. ¸
  21. 15m
  22. ema9 - 0.31767
  23. ema21 - 0.315852
  24. ema50 - 0.317605
  25. ema100 - 0.321009
  26. price_ema9_diff - 0.00796129
  27. ema9_ema21_diff - 0.00575839
  28. ema21_ema50_diff - -0.00552085
  29. price_ema100_diff - -0.00252194
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.65383
  33. adx - 0.442427
  34. kc_percentage - 1.09123
  35. kc_width_percentage - 0.022789
  36. volume_ema_diff - -0.735459
  37. volume_ema1 - 19002.593212311
  38. volume_ema2 - 71832.548917904
  39. ¸
  40. 5m
  41. ema9 - 0.319396
  42. ema21 - 0.317872
  43. ema50 - 0.315576
  44. ema100 - 0.31481
  45. price_ema9_diff - 0.00251527
  46. ema9_ema21_diff - 0.00479427
  47. ema21_ema50_diff - 0.00727634
  48. price_ema100_diff - 0.0171194
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.699417
  52. adx - 0.47589
  53. kc_percentage - 1.09216
  54. kc_width_percentage - 0.0116112
  55. volume_ema_diff - -0.834265
  56. volume_ema1 - 2968.9723550677
  57. volume_ema2 - 17913.990109769
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 108328
  62. 5m_price_ema100_diff: 0.0109788
  63. 5m_price: 109518
  64. 5m_correlation_with_coin: 0.708623
  65. btc_indicators
  66. 15m_ema100: 108464
  67. 15m_price_ema100_diff: 0.00970994
  68. 15m_price: 109518
  69. btc_indicators
  70. 1H_ema100: 109545
  71. 1H_price_ema100_diff: -0.0002473
  72. 1H_price: 109518
  73. ¸

📌 Time Data

Start at Closed at Duration
01 Sep 2025
05:03:51
01 Sep 2025
05:45:00
41 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3202 0.3217 0.318 1.47 0.074
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 0.3202
  • Stop Loss: 0.3217
  • Take Profit: 0.318

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3217 - 0.3202 = 0.0015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3202 - 0.318 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0015 = 1.4667

📌 Position Size

Amount Margin Quantity Leverage
1742.1678 100 5440.8737 17.42
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 0.0015

Taille de position = 8 / 0.0015 = 5333.33

Taille de position USD = 5333.33 x 0.3202 = 1707.73

Donc, tu peux acheter 5333.33 avec un stoploss a 0.3217

Avec un position size USD de 1707.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5333.33 x 0.0015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5333.33 x 0.0022 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

  • Taille de position 5333.33
  • Taille de position USD 1707.73
  • Perte potentielle 8
  • Gain potentiel 11.73
  • Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target TP $ Target
0.69 % 11.97 $
SL % Target SL $ Target
0.47 % 8.16 $
PNL PNL %
11.97 $ 0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0312 % 6.66 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3172
            [stop_loss] => 0.3217
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 05:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.31645
            [stop_loss] => 0.3217
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 06:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3157
            [stop_loss] => 0.3217
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 06:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.31495
            [stop_loss] => 0.3217
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3142
            [stop_loss] => 0.3217
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.31345
            [stop_loss] => 0.3217
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 06:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.3127
            [stop_loss] => 0.3217
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 09:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.31195
            [stop_loss] => 0.3217
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 09:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.3112
            [stop_loss] => 0.3217
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 10:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.31045
            [stop_loss] => 0.3217
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 10:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0074
            [max_drawdown] => 9.9999999999989E-5
            [rr_ratio] => 74
            [high] => 0.32030000
            [low] => 0.31280000
            [mfe_pct] => 2.31
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 74
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T05:03:51-04:00
            [end_at] => 2025-09-01T07:03:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 9.9999999999989E-5
            [rr_ratio] => 100
            [high] => 0.32030000
            [low] => 0.31010000
            [mfe_pct] => 3.15
            [mae_pct] => 0.03
            [mfe_mae_ratio] => 101
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T05:03:51-04:00
            [end_at] => 2025-09-01T12:03:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.32070000
            [high_after] => 0.32030000
            [low_before] => 0.30840000
            [low_after] => 0.31010000
            [is_new_high] => 
            [is_new_low] => 
        )

)