Short Trade on TRX

The 18 Nov 2025 at 06:12:53

With 13931.1951 TRX at 0.2898$ per unit.

Position size of 4037.2604 $

Take profit at 0.2887 (0.38 %) and Stop Loss at 0.2904 (0.21 %)

That's a 1.83 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.33
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.99
Prediction 2 Probability
0 0.96
Prediction 3 Probability
0 0.89
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_high

rules_regime_5m : bull_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.739273

15m : 0.075132

1H : -0.098949

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0003828338686
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.289402
  4. ema21 - 0.290421
  5. ema50 - 0.291733
  6. ema100 - 0.292522
  7. price_ema9_diff - 0.00137359
  8. ema9_ema21_diff - -0.00350865
  9. ema21_ema50_diff - -0.00449626
  10. price_ema100_diff - -0.00930736
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.0735144
  14. ema_slope_21 - -0.0595613
  15. ema_slope_50 - -0.0373166
  16. ema_slope_100 - -0.0219945
  17. rsi - 0.453341
  18. adx - 0.279013
  19. kc_percentage - 0.425361
  20. kc_width_percentage - 0.0254067
  21. volume_ema_diff - -0.385011
  22. volume_ema1 - 161972.56512373
  23. volume_ema2 - 263375.11950391
  24. chop - 55.8988
  25. regime - bear_medium
  26. ¸
  27. 15m
  28. ema9 - 0.288824
  29. ema21 - 0.288752
  30. ema50 - 0.289598
  31. ema100 - 0.290684
  32. price_ema9_diff - 0.00337661
  33. ema9_ema21_diff - 0.000250898
  34. ema21_ema50_diff - -0.00292159
  35. price_ema100_diff - -0.00304393
  36. all_emas_in_trend - False
  37. all_emas_and_price_in_trend - False
  38. ema_slope_9 - 0.019029
  39. ema_slope_21 - -0.0101322
  40. ema_slope_50 - -0.0200451
  41. ema_slope_100 - -0.0175545
  42. rsi - 0.576588
  43. adx - 0.227952
  44. kc_percentage - 0.820941
  45. kc_width_percentage - 0.0114807
  46. volume_ema_diff - -0.548206
  47. volume_ema1 - 29921.239825054
  48. volume_ema2 - 66227.723776744
  49. chop - 59.765
  50. regime - range_low
  51. ¸
  52. 5m
  53. ema9 - 0.289396
  54. ema21 - 0.288926
  55. ema50 - 0.288662
  56. ema100 - 0.28895
  57. price_ema9_diff - 0.00139446
  58. ema9_ema21_diff - 0.00162699
  59. ema21_ema50_diff - 0.000915107
  60. price_ema100_diff - 0.00294144
  61. all_emas_in_trend - True
  62. all_emas_and_price_in_trend - True
  63. ema_slope_9 - 0.0414827
  64. ema_slope_21 - 0.0284187
  65. ema_slope_50 - 0.0116689
  66. ema_slope_100 - 0.00266074
  67. rsi - 0.672995
  68. adx - 0.299064
  69. kc_percentage - 1.07629
  70. kc_width_percentage - 0.00506178
  71. volume_ema_diff - -0.769434
  72. volume_ema1 - 4122.7292611887
  73. volume_ema2 - 17880.959882664
  74. chop - 36.5219
  75. regime - range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100: 90819.9
  80. 5m_price_ema100_diff: 0.00782923
  81. 5m_price: 91531
  82. 5m_correlation_with_coin: 0.739273
  83. btc_indicators
  84. 15m_ema100: 92080.6
  85. 15m_price_ema100_diff: -0.00596889
  86. 15m_price: 91531
  87. 15m_correlation_with_coin: 0.075132
  88. btc_indicators
  89. 1H_ema100: 94330.5
  90. 1H_price_ema100_diff: -0.0296782
  91. 1H_price: 91531
  92. 1H_correlation_with_coin: -0.098949
  93. ¸

📌 Time Data

Start at Closed at Duration
18 Nov 2025
06:12:53
18 Nov 2025
07:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2898 0.2904 0.2887 1.83 0.2917
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 0.2898
  • Stop Loss: 0.2904
  • Take Profit: 0.2887

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2904 - 0.2898 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2898 - 0.2887 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.00059999999999999 = 1.8333

📌 Position Size

Amount Margin Quantity Leverage
4037.2604 100 13931.1951 40.37
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.2898 = 3864

Donc, tu peux acheter 13333.33 avec un stoploss a 0.2904

Avec un position size USD de 3864$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0011 = 14.67

Si Take Profit atteint, tu gagneras 14.67$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 3864
  • Perte potentielle 8
  • Gain potentiel 14.67
  • Risk-Reward Ratio 1.8333

📌 Peformances

TP % Target TP $ Target
0.38 % 15.32 $
SL % Target SL $ Target
0.21 % 8.36 $
PNL PNL %
-8.36 $ -0.21
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2795 % 135.02 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2887
            [entry_price] => 0.2898
            [stop_loss] => 0.29046
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-18 07:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2887
            [entry_price] => 0.2898
            [stop_loss] => 0.29052
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-18 07:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2887
            [entry_price] => 0.2898
            [stop_loss] => 0.29058
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-18 07:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2887
            [entry_price] => 0.2898
            [stop_loss] => 0.2907
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-18 09:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00103
            [max_drawdown] => 0.00080999999999998
            [rr_ratio] => 1.27
            [high] => 0.29061000
            [low] => 0.28877000
            [mfe_pct] => 0.36
            [mae_pct] => 0.28
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 24
            [start_at] => 2025-11-18T06:12:53-05:00
            [end_at] => 2025-11-18T08:12:53-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00157
            [max_drawdown] => 0.00301
            [rr_ratio] => 0.52
            [high] => 0.29281000
            [low] => 0.28823000
            [mfe_pct] => 0.54
            [mae_pct] => 1.04
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 84
            [start_at] => 2025-11-18T06:12:53-05:00
            [end_at] => 2025-11-18T13:12:53-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.28994000
            [high_after] => 0.29273000
            [low_before] => 0.28681000
            [low_after] => 0.28823000
            [is_new_high] => 
            [is_new_low] => 
        )

)