Web3Way Logo

Trade

buy - ETHFI

Status
win
2025-05-22 02:42:46
32 minutes
PNL
1.49
Entry: 1.3377
Last: 1.35800000

Results

Status:
win
Trade Type:
buy
Prediction Score: -2.2727
Prediction 1 Probability
Weak Trade
0.64
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.008823357326
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 1.34956
  4. ema21 - 1.33175
  5. ema50 - 1.31074
  6. ema100 - 1.2947
  7. price_ema9_diff - -0.00879527
  8. ema9_ema21_diff - 0.0133778
  9. ema21_ema50_diff - 0.0160316
  10. price_ema100_diff - 0.0332093
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.525834
  14. kc_percentage - 0.5295
  15. kc_width_percentage - 0.121103
    16. ¸
  16. 15m
  17. ema9 - 1.35744
  18. ema21 - 1.35821
  19. ema50 - 1.34571
  20. ema100 - 1.3412
  21. price_ema9_diff - -0.0145472
  22. ema9_ema21_diff - -0.000561667
  23. ema21_ema50_diff - 0.00928511
  24. price_ema100_diff - -0.00261378
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.428459
  28. kc_percentage - 0.207249
  29. kc_width_percentage - 0.0532835
    30. ¸
  30. 5m
  31. ema9 - 1.34944
  32. ema21 - 1.35776
  33. ema50 - 1.36056
  34. ema100 - 1.35306
  35. price_ema9_diff - -0.00870175
  36. ema9_ema21_diff - -0.00613078
  37. ema21_ema50_diff - -0.00205896
  38. price_ema100_diff - -0.0113527
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.335092
  42. kc_percentage - -0.0833056
  43. kc_width_percentage - 0.025216
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110468
  47. 5m_price_ema100_diff: 0.00346997
  48. 5m_price: 110852
  49. 5m_correlation_with_coin: 0.519461
  50. btc_indicators
  51. 15m_ema100: 108995
  52. 15m_price_ema100_diff: 0.0170373
  53. 15m_price: 110852
  54. btc_indicators
  55. 1H_ema100: 106360
  56. 1H_price_ema100_diff: 0.042232
  57. 1H_price: 110852
    58. ¸

Long Trade on ETHFI

The 22 May 2025 at 02:42:46

With 604.4562 ETHFI at 1.3377$ per unit.

Position size of 808.5811 $

Take profit at 1.3576 (1.49 %) and Stop Loss at 1.3245 (0.99 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -20.71 %

Symbol Start at Seach Score Trade Score Trades Count
NOT 2025-05-22 02:39:36 0.9186 45 2
TON 2025-04-09 20:11:54 0.9084 -100 3
DOGE 2025-05-22 02:33:59 0.9053 40 1
DOGE 2025-07-03 08:38:36 0.9052 -100 1
IP 2025-08-05 00:28:08 0.9021 30 3
SOL 2025-04-04 19:37:24 0.9008 40 2
ZBCN 2025-06-24 19:46:55 0.8958 -100 1

📌 Time Data

Start at Closed at Duration
22 May 2025
02:42:46		 22 May 2025
03:15:00		 32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.3377 1.3245 1.3576 1.51 1.0728
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 1.3377
  • Stop Loss: 1.3245
  • Take Profit: 1.3576

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.3245 - 1.3377 = -0.0132

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.3377 - 1.3576 = -0.0199

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0199 / -0.0132 = 1.5076

📌 Position Size

Amount Margin Quantity Leverage
808.5811 100 604.4562 8.09
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 -0.0132

Taille de position = 8 / -0.0132 = -606.06

Taille de position USD = -606.06 x 1.3377 = -810.73

Donc, tu peux acheter -606.06 avec un stoploss a 1.3245

Avec un position size USD de -810.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -606.06 x -0.0132 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -606.06 x -0.0199 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

  • Taille de position -606.06
  • Taille de position USD -810.73
  • Perte potentielle 8
  • Gain potentiel 12.06
  • Risk-Reward Ratio 1.5076

📌 Peformances

TP % Target TP $ Target
1.49 % 12.03 $
SL % Target SL $ Target
0.99 % 7.98 $
PNL PNL %
12.09 $ 1.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.47085201793722 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.366
            [stop_loss] => 1.324
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 03:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.373
            [stop_loss] => 1.324
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 03:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.38
            [stop_loss] => 1.324
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 04:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.387
            [stop_loss] => 1.324
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 04:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.394
            [stop_loss] => 1.324
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 04:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.401
            [stop_loss] => 1.324
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 04:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.408
            [stop_loss] => 1.324
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 05:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.415
            [stop_loss] => 1.324
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 05:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.422
            [stop_loss] => 1.324
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 05:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.429
            [stop_loss] => 1.324
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 05:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0675
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 11.25
            [high] => 1.40520000
            [low] => 1.33170000
            [mfe_pct] => 5.05
            [mae_pct] => 0.45
            [mfe_mae_ratio] => 11.25
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T02:42:46-04:00
            [end_at] => 2025-05-22T04:42:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0916
            [max_drawdown] => 0.0059999999999998
            [rr_ratio] => 15.27
            [high] => 1.42930000
            [low] => 1.33170000
            [mfe_pct] => 6.85
            [mae_pct] => 0.45
            [mfe_mae_ratio] => 15.27
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T02:42:46-04:00
            [end_at] => 2025-05-22T08:42:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.38880000
            [high_after] => 1.42930000
            [low_before] => 1.33610000
            [low_after] => 1.33170000
            [is_new_high] => 1
            [is_new_low] => 
        )

)