Web3Way Logo

Trade

sell - TRX

Status
loss
2025-05-30 15:46:01
8 minutes
PNL
-0.15
Entry: 0.2707
Last: 0.27110000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 2.8154
Prediction 1 Probability
Strong Trade
0.61
Prediction 2 Probability
2 0.43
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 4.99

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0002477685056
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.270377
  4. ema21 - 0.271381
  5. ema50 - 0.27286
  6. ema100 - 0.27347
  7. price_ema9_diff - 0.0011916
  8. ema9_ema21_diff - -0.00369732
  9. ema21_ema50_diff - -0.00542224
  10. price_ema100_diff - -0.0101303
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.451003
  14. kc_percentage - 0.411485
  15. kc_width_percentage - 0.0251292
    16. ¸
  16. 15m
  17. ema9 - 0.270101
  18. ema21 - 0.270134
  19. ema50 - 0.270695
  20. ema100 - 0.271759
  21. price_ema9_diff - 0.00221721
  22. ema9_ema21_diff - -0.000122589
  23. ema21_ema50_diff - -0.00207513
  24. price_ema100_diff - -0.0039004
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.547687
  28. kc_percentage - 0.71717
  29. kc_width_percentage - 0.00989631
    30. ¸
  30. 5m
  31. ema9 - 0.270485
  32. ema21 - 0.270171
  33. ema50 - 0.270117
  34. ema100 - 0.27047
  35. price_ema9_diff - 0.000794609
  36. ema9_ema21_diff - 0.00115895
  37. ema21_ema50_diff - 0.00019997
  38. price_ema100_diff - 0.000847528
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.650418
  42. kc_percentage - 1.11746
  43. kc_width_percentage - 0.00305875
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104953
  47. 5m_price_ema100_diff: -0.00345211
  48. 5m_price: 104591
  49. 5m_correlation_with_coin: 0.688164
  50. btc_indicators
  51. 15m_ema100: 105410
  52. 15m_price_ema100_diff: -0.00777894
  53. 15m_price: 104591
  54. btc_indicators
  55. 1H_ema100: 107281
  56. 1H_price_ema100_diff: -0.0250755
  57. 1H_price: 104591
    58. ¸

Short Trade on TRX

The 30 May 2025 at 15:46:01

With 21525.4692 TRX at 0.2707$ per unit.

Position size of 5826.9445 $

Take profit at 0.2701 (0.22 %) and Stop Loss at 0.2711 (0.15 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -80 %

Symbol Start at Seach Score Trade Score Trades Count
ETC 2025-08-11 21:07:07 0.7937 -100 1
ESPORTS 2025-08-11 20:53:08 0.7872 40 1
PARTI 2025-07-30 20:35:37 0.7788 -100 1
ATOM 2025-08-11 21:02:54 0.771 -100 2
BLAST 2025-05-13 12:39:21 0.7604 -100 1
LISTA 2025-07-30 20:33:13 0.7569 -100 1
EIGEN 2025-07-30 20:41:27 0.7503 -100 1

📌 Time Data

Start at Closed at Duration
30 May 2025
15:46:01		 30 May 2025
15:55:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2707 0.2711 0.2701 1.5 0.3648
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 0.2707
  • Stop Loss: 0.2711
  • Take Profit: 0.2701

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2711 - 0.2707 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2707 - 0.2701 = 0.00059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00040000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
5826.9445 100 21525.4692 58.27
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.2707 = 5414

Donc, tu peux acheter 20000 avec un stoploss a 0.2711

Avec un position size USD de 5414$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 5414
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.22 % 12.92 $
SL % Target SL $ Target
0.15 % 8.61 $
PNL PNL %
-8.61 $ -0.15
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.16254155892131 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2707
            [stop_loss] => 0.27114
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-30 15:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2707
            [stop_loss] => 0.27118
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-30 16:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2707
            [stop_loss] => 0.27122
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-30 16:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2701
            [entry_price] => 0.2707
            [stop_loss] => 0.2713
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-30 16:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -3.9999999999984E-5
            [max_drawdown] => 0.00155
            [rr_ratio] => -0.03
            [high] => 0.27225000
            [low] => 0.27074000
            [mfe_pct] => -0.01
            [mae_pct] => 0.57
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T15:46:01-04:00
            [end_at] => 2025-05-30T17:46:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00783
            [max_drawdown] => 0.00155
            [rr_ratio] => 5.05
            [high] => 0.27225000
            [low] => 0.26287000
            [mfe_pct] => 2.89
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 5.05
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T15:46:01-04:00
            [end_at] => 2025-05-30T21:46:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27162000
            [high_after] => 0.27225000
            [low_before] => 0.26783000
            [low_after] => 0.26287000
            [is_new_high] => 
            [is_new_low] => 1
        )

)