Web3Way Logo

Short Trade on TRX

Short Trade on TRX

The 14 Nov 2025 at 02:30:41

With 10457.1153 TRX at 0.2923$ per unit.

Position size of 3056.6148 $

Take profit at 0.2908 (0.51 %) and Stop Loss at 0.2931 (0.27 %)

That's a 1.87 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.54
Prediction Score: 4
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
0 0.74
Prediction 3 Probability
1 0.53
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_high

rules_regime_5m : bear_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low
BTC Correlation Score

5m : 0.749621

15m : 0.021623

1H : -0.210583

 3

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0005100195575
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.291591
  4. ema21 - 0.292812
  5. ema50 - 0.294529
  6. ema100 - 0.295134
  7. price_ema9_diff - 0.00242995
  8. ema9_ema21_diff - -0.0041702
  9. ema21_ema50_diff - -0.00582837
  10. price_ema100_diff - -0.00960263
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. ema_slope_9 - -0.0917358
  14. ema_slope_21 - -0.087555
  15. ema_slope_50 - -0.0545698
  16. ema_slope_100 - -0.0285989
  17. rsi - 0.464444
  18. adx - 0.274517
  19. kc_percentage - 0.449805
  20. kc_width_percentage - 0.0283907
  21. volume_ema_diff - -0.0909763
  22. volume_ema1 - 333365.34385434
  23. volume_ema2 - 366729.03007462
  24. chop - 55.3442
  25. regime - bear_medium
    26. ¸
  26. 15m
  27. ema9 - 0.291313
  28. ema21 - 0.291115
  29. ema50 - 0.291918
  30. ema100 - 0.293401
  31. price_ema9_diff - 0.00338508
  32. ema9_ema21_diff - 0.000682915
  33. ema21_ema50_diff - -0.00275287
  34. price_ema100_diff - -0.00375303
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. ema_slope_9 - 0.0125544
  38. ema_slope_21 - -0.0103924
  39. ema_slope_50 - -0.0206323
  40. ema_slope_100 - -0.0210129
  41. rsi - 0.57272
  42. adx - 0.163078
  43. kc_percentage - 0.813226
  44. kc_width_percentage - 0.0130435
  45. volume_ema_diff - -0.454578
  46. volume_ema1 - 54728.618185084
  47. volume_ema2 - 100341.8165008
  48. chop - 38.4927
  49. regime - range_low
    50. ¸
  50. 5m
  51. ema9 - 0.291619
  52. ema21 - 0.291059
  53. ema50 - 0.290864
  54. ema100 - 0.291245
  55. price_ema9_diff - 0.0023332
  56. ema9_ema21_diff - 0.00192289
  57. ema21_ema50_diff - 0.000672522
  58. price_ema100_diff - 0.0036221
  59. all_emas_in_trend - True
  60. all_emas_and_price_in_trend - True
  61. ema_slope_9 - 0.0328089
  62. ema_slope_21 - 0.0205674
  63. ema_slope_50 - 0.00663688
  64. ema_slope_100 - -0.000487777
  65. rsi - 0.655111
  66. adx - 0.202534
  67. kc_percentage - 1.09753
  68. kc_width_percentage - 0.00693675
  69. volume_ema_diff - -0.619895
  70. volume_ema1 - 12551.78348051
  71. volume_ema2 - 33021.94681642
  72. chop - 29.7147
  73. regime - range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 98373.6
  77. 5m_price_ema100_diff: -0.0072144
  78. 5m_price: 97663.9
  79. 5m_correlation_with_coin: 0.749621
  80. btc_indicators
  81. 15m_ema100: 99965.3
  82. 15m_price_ema100_diff: -0.0230223
  83. 15m_price: 97663.9
  84. 15m_correlation_with_coin: 0.021623
  85. btc_indicators
  86. 1H_ema100: 102535
  87. 1H_price_ema100_diff: -0.0475105
  88. 1H_price: 97663.9
  89. 1H_correlation_with_coin: -0.210583
    90. ¸

📌 Time Data

Start at Closed at Duration
14 Nov 2025
02:30:41		 14 Nov 2025
02:45:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2923 0.2931 0.2908 1.87 0.2895
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 0.2923
  • Stop Loss: 0.2931
  • Take Profit: 0.2908

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2931 - 0.2923 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2923 - 0.2908 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00080000000000002 = 1.875

📌 Position Size

Amount Margin Quantity Leverage
3056.6148 100 10457.1153 30.57
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 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.2923 = 2923

Donc, tu peux acheter 10000 avec un stoploss a 0.2931

Avec un position size USD de 2923$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0015 = 15

Si Take Profit atteint, tu gagneras 15$

Résumé

  • Taille de position 10000
  • Taille de position USD 2923
  • Perte potentielle 8
  • Gain potentiel 15
  • Risk-Reward Ratio 1.875

📌 Peformances

TP % Target TP $ Target
0.51 % 15.69 $
SL % Target SL $ Target
0.27 % 8.37 $
PNL PNL %
-8.37 $ -0.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2942 % 107.49 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2908
            [entry_price] => 0.2923
            [stop_loss] => 0.29318
            [rr_ratio] => 1.7
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-11-14 03:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2908
            [entry_price] => 0.2923
            [stop_loss] => 0.29326
            [rr_ratio] => 1.56
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-11-14 03:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2908
            [entry_price] => 0.2923
            [stop_loss] => 0.29334
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-11-14 03:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2908
            [entry_price] => 0.2923
            [stop_loss] => 0.2935
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-11-14 03:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0005
            [max_drawdown] => 0.00164
            [rr_ratio] => 0.3
            [high] => 0.29394000
            [low] => 0.29180000
            [mfe_pct] => 0.17
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 0.3
            [candles_analyzed] => 24
            [start_at] => 2025-11-14T02:30:41-05:00
            [end_at] => 2025-11-14T04:30:41-05:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00354
            [max_drawdown] => 0.00164
            [rr_ratio] => 2.16
            [high] => 0.29394000
            [low] => 0.28876000
            [mfe_pct] => 1.21
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 2.16
            [candles_analyzed] => 84
            [start_at] => 2025-11-14T02:30:41-05:00
            [end_at] => 2025-11-14T09:30:41-05:00
        )

    [breakout] => Array
        (
            [high_before] => 0.29252000
            [high_after] => 0.29394000
            [low_before] => 0.28780000
            [low_after] => 0.28876000
            [is_new_high] => 
            [is_new_low] => 
        )

)