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Short Trade on TRX

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Short Trade on TRX 16 May 2025 at 13:30:24

Take profit at 0.2721 (0.26 %) and Stop Loss at 0.2733 (0.18 %)

Short Trade on TRX

The 16 May 2025 at 13:30:24

With 15395.9327 TRX at 0.2728$ per unit.

Position size of 4200.4723 $

Take profit at 0.2721 (0.26 %) and Stop Loss at 0.2733 (0.18 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 1.77
Prediction Score: -1.817
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.505232

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0003464118363
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.272484
  4. ema21 : 0.273032
  5. ema50 : 0.27308
  6. ema100 : 0.273031
  7. price_ema9_diff : 0.00126818
  8. ema9_ema21_diff : -0.00200619
  9. ema21_ema50_diff : -0.000178445
  10. price_ema100_diff : -0.000738955
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.49027
  14. kc_percentage : 0.475895
  15. kc_width_percentage : 0.0276376
    16. ¸
  16. 15m
  17. ema9 : 0.272124
  18. ema21 : 0.272212
  19. ema50 : 0.272885
  20. ema100 : 0.273602
  21. price_ema9_diff : 0.0025926
  22. ema9_ema21_diff : -0.000323628
  23. ema21_ema50_diff : -0.0024676
  24. price_ema100_diff : -0.00282525
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.545286
  28. kc_percentage : 0.733488
  29. kc_width_percentage : 0.00999094
    30. ¸
  30. 5m
  31. ema9 : 0.272321
  32. ema21 : 0.27214
  33. ema50 : 0.272117
  34. ema100 : 0.27232
  35. price_ema9_diff : 0.0018677
  36. ema9_ema21_diff : 0.000664013
  37. ema21_ema50_diff : 8.54647E-5
  38. price_ema100_diff : 0.00187174
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.648002
  42. kc_percentage : 1.01409
  43. kc_width_percentage : 0.00487531
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103818
  47. 5m_price_ema100_diff: 
    0.00228294
  48. 5m_price: 
    104056
  49. 5m_correlation_with_coin: 
    0.505232
  50. btc_indicators
  51. 15m_ema100: 
    103671
  52. 15m_price_ema100_diff: 
    0.00371252
  53. 15m_price: 
    104056
  54. btc_indicators
  55. 1H_ema100: 
    103287
  56. 1H_price_ema100_diff: 
    0.00743752
  57. 1H_price: 
    104056
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 May 2025
13:30:24		 16 May 2025
13:35:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2728 0.2733 0.2721 1.4 0.2794
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 0.2728
  • Stop Loss: 0.2733
  • Take Profit: 0.2721

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2733 - 0.2728 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2728 - 0.2721 = 0.00069999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00069999999999998 / 0.0005 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
4200.4723 100 15395.9327 42.00
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.2728 = 4364.8

Donc, tu peux acheter 16000 avec un stoploss a 0.2733

Avec un position size USD de 4364.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00069999999999998 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position 16000
  • Taille de position USD 4364.8
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.26 % 10.78 $
SL % Target SL $ Target
0.18 % 7.7 $
PNL PNL %
10.78 $ 0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2718
            [stop_loss] => 0.2733
            [rr_ratio] => 2
            [closed_at] => 2025-05-16 13:50:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.27155
            [stop_loss] => 0.2733
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2713
            [stop_loss] => 0.2733
            [rr_ratio] => 3
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.27105
            [stop_loss] => 0.2733
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2708
            [stop_loss] => 0.2733
            [rr_ratio] => 4
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.27055
            [stop_loss] => 0.2733
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2703
            [stop_loss] => 0.2733
            [rr_ratio] => 5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.27005
            [stop_loss] => 0.2733
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2698
            [stop_loss] => 0.2733
            [rr_ratio] => 6
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.26955
            [stop_loss] => 0.2733
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2693
            [stop_loss] => 0.2733
            [rr_ratio] => 7
            [closed_at] => 2025-05-16 15:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00115
            [max_drawdown] => 0.00091000000000002
            [rr_ratio] => 1.26
            [high] => 0.27371000
            [low] => 0.27165000
            [mfe_pct] => 0.42
            [mae_pct] => 0.33
            [mfe_mae_ratio] => 1.26
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T13:30:24-04:00
            [end_at] => 2025-05-16T15:30:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00142
            [max_drawdown] => 0.00112
            [rr_ratio] => 1.27
            [high] => 0.27392000
            [low] => 0.27138000
            [mfe_pct] => 0.52
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T13:30:24-04:00
            [end_at] => 2025-05-16T19:30:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27299000
            [high_after] => 0.27392000
            [low_before] => 0.27084000
            [low_after] => 0.27138000
            [is_new_high] => 
            [is_new_low] => 
        )

)