Web3Way Logo

Trade

sell - OP

Status
win
2025-05-25 15:57:31
7 minutes
PNL
0.63
Entry: 0.73
Last: 0.72540000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.65
Prediction 2 Accuracy
0 0.55
ML Trade Score: 70
ML Pullback Score: 4.25

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.002060800149
Details
  1. score: 1.12
  2. 1H
  3. ema9 - 0.724997
  4. ema21 - 0.730172
  5. ema50 - 0.74478
  6. ema100 - 0.755664
  7. price_ema9_diff - 0.00689991
  8. ema9_ema21_diff - -0.00708752
  9. ema21_ema50_diff - -0.0196134
  10. price_ema100_diff - -0.0339633
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.464778
  14. kc_percentage - 0.5106
  15. kc_width_percentage - 0.0496698
    16. ¸
  16. 15m
  17. ema9 - 0.724879
  18. ema21 - 0.723719
  19. ema50 - 0.725052
  20. ema100 - 0.730013
  21. price_ema9_diff - 0.00706437
  22. ema9_ema21_diff - 0.00160182
  23. ema21_ema50_diff - -0.00183776
  24. price_ema100_diff - -1.78266E-5
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.595805
  28. kc_percentage - 0.871076
  29. kc_width_percentage - 0.0230865
    30. ¸
  30. 5m
  31. ema9 - 0.726081
  32. ema21 - 0.724769
  33. ema50 - 0.723538
  34. ema100 - 0.723065
  35. price_ema9_diff - 0.00539687
  36. ema9_ema21_diff - 0.00181011
  37. ema21_ema50_diff - 0.00170185
  38. price_ema100_diff - 0.00959018
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.683857
  42. kc_percentage - 1.12482
  43. kc_width_percentage - 0.0113008
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 107282
  47. 5m_price_ema100_diff: 0.00347704
  48. 5m_price: 107655
  49. 5m_correlation_with_coin: 0.681962
  50. btc_indicators
  51. 15m_ema100: 107676
  52. 15m_price_ema100_diff: -0.000196903
  53. 15m_price: 107655
  54. btc_indicators
  55. 1H_ema100: 108630
  56. 1H_price_ema100_diff: -0.00897519
  57. 1H_price: 107655
    58. ¸

Short Trade on OP

The 25 May 2025 at 15:57:31

With 2587.9915 OP at 0.73$ per unit.

Position size of 1889.2338 $

Take profit at 0.7254 (0.63 %) and Stop Loss at 0.7331 (0.42 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: 13.5 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-05-25 15:57:56 0.8909 50 1
SAND 2025-05-25 15:57:02 0.8554 50 1
ONDO 2025-05-25 15:57:18 0.8185 -10 3
DOGE 2025-05-25 15:56:40 0.8338 60 1
ENA 2025-05-25 15:50:51 0.8226 -100 1
DOT 2025-05-25 15:56:34 0.813 50 1
OGN 2025-05-25 16:00:29 0.8027 35 2
LINK 2025-05-25 15:58:39 0.8004 40 2
VIRTUAL 2025-05-25 15:59:37 0.8007 -100 1
APE 2025-05-25 15:57:22 0.7978 60 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:57:31		 25 May 2025
16:05:00		 7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.73 0.7331 0.7254 1.48 0.7097
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 0.73
  • Stop Loss: 0.7331
  • Take Profit: 0.7254

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7331 - 0.73 = 0.0031

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.73 - 0.7254 = 0.0045999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0045999999999999 / 0.0031 = 1.4839

📌 Position Size

Amount Margin Quantity Leverage
1889.2338 100 2587.9915 18.89
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 0.0031

Taille de position = 8 / 0.0031 = 2580.65

Taille de position USD = 2580.65 x 0.73 = 1883.87

Donc, tu peux acheter 2580.65 avec un stoploss a 0.7331

Avec un position size USD de 1883.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2580.65 x 0.0031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2580.65 x 0.0045999999999999 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

  • Taille de position 2580.65
  • Taille de position USD 1883.87
  • Perte potentielle 8
  • Gain potentiel 11.87
  • Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target TP $ Target
0.63 % 11.9 $
SL % Target SL $ Target
0.42 % 8.02 $
PNL PNL %
11.9 $ 0.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7238
            [stop_loss] => 0.7331
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 16:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.72225
            [stop_loss] => 0.7331
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 17:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7207
            [stop_loss] => 0.7331
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.71915
            [stop_loss] => 0.7331
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 17:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.7176
            [stop_loss] => 0.7331
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.71605
            [stop_loss] => 0.7331
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.7145
            [stop_loss] => 0.7331
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.71295
            [stop_loss] => 0.7331
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.7114
            [stop_loss] => 0.7331
            [rr_ratio] => 6
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.70985
            [stop_loss] => 0.7331
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.7083
            [stop_loss] => 0.7331
            [rr_ratio] => 7
            [closed_at] => 2025-05-25 18:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0122
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.72830000
            [low] => 0.71780000
            [mfe_pct] => 1.67
            [mae_pct] => -0.23
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-25T15:57:31-04:00
            [end_at] => 2025-05-25T17:57:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0122
            [max_drawdown] => 0.03
            [rr_ratio] => 0.41
            [high] => 0.76000000
            [low] => 0.71780000
            [mfe_pct] => 1.67
            [mae_pct] => 4.11
            [mfe_mae_ratio] => 0.41
            [candles_analyzed] => 72
            [start_at] => 2025-05-25T15:57:31-04:00
            [end_at] => 2025-05-25T21:57:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.73120000
            [high_after] => 0.76000000
            [low_before] => 0.71420000
            [low_after] => 0.71780000
            [is_new_high] => 
            [is_new_low] => 
        )

)