Web3Way Logo

Trade

sell - 1000BONK

Status
loss
2025-05-27 01:55:20
4 minutes
PNL
-0.44
Entry: 0.02023
Last: 0.02032000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.62
Prediction 2 Accuracy
0 0.53
ML Trade Score: -100
ML Pullback Score: 0.2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 6.500713707E-5
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.0201131
  4. ema21 - 0.0202488
  5. ema50 - 0.0205518
  6. ema100 - 0.0211576
  7. price_ema9_diff - 0.00566075
  8. ema9_ema21_diff - -0.0067015
  9. ema21_ema50_diff - -0.0147419
  10. price_ema100_diff - -0.0439882
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.480583
  14. kc_percentage - 0.491721
  15. kc_width_percentage - 0.0670926
    16. ¸
  16. 15m
  17. ema9 - 0.0200966
  18. ema21 - 0.0200814
  19. ema50 - 0.0201575
  20. ema100 - 0.0203853
  21. price_ema9_diff - 0.00648533
  22. ema9_ema21_diff - 0.000758609
  23. ema21_ema50_diff - -0.00377853
  24. price_ema100_diff - -0.00776577
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.565838
  28. kc_percentage - 0.753492
  29. kc_width_percentage - 0.0283588
    30. ¸
  30. 5m
  31. ema9 - 0.0201042
  32. ema21 - 0.0200909
  33. ema50 - 0.0200803
  34. ema100 - 0.0200784
  35. price_ema9_diff - 0.00610506
  36. ema9_ema21_diff - 0.000663295
  37. ema21_ema50_diff - 0.000529669
  38. price_ema100_diff - 0.00739746
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.623323
  42. kc_percentage - 1.03102
  43. kc_width_percentage - 0.0126525
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 108884
  47. 5m_price_ema100_diff: -6.87579E-5
  48. 5m_price: 108876
  49. 5m_correlation_with_coin: 0.713352
  50. btc_indicators
  51. 15m_ema100: 109219
  52. 15m_price_ema100_diff: -0.00313684
  53. 15m_price: 108876
  54. btc_indicators
  55. 1H_ema100: 109111
  56. 1H_price_ema100_diff: -0.00215118
  57. 1H_price: 108876
    58. ¸

Short Trade on 1000BONK

The 27 May 2025 at 01:55:20

With 82042.2737 1000BONK at 0.02023$ per unit.

Position size of 1659.4691 $

Take profit at 0.02008 (0.74 %) and Stop Loss at 0.02032 (0.44 %)

That's a 1.67 RR Trade

📌 Similar Trades

Similar Trade Score: -76.11 %

Symbol Start at Seach Score Trade Score Trades Count
ARB 2025-05-27 01:58:04 0.8636 -100 2
DOT 2025-05-27 01:57:26 0.857 -100 2
HBAR 2025-05-27 02:11:06 0.8329 -35 2
MOVE 2025-05-27 02:02:29 0.8172 -100 2
DARK 2025-04-28 02:02:49 0.8158 -100 1
ANIME 2025-06-13 12:17:42 0.8142 50 1
LTC 2025-05-27 02:10:23 0.8086 -100 2
SOL 2025-05-27 02:06:50 0.809 -100 1
NEWT 2025-07-02 12:20:00 0.8025 -100 1

📌 Time Data

Start at Closed at Duration
27 May 2025
01:55:20		 27 May 2025
02:00:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02023 0.02032 0.02008 1.67 0.03608
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 0.02023
  • Stop Loss: 0.02032
  • Take Profit: 0.02008

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02032 - 0.02023 = 9.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02023 - 0.02008 = 0.00015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00015 / 9.0E-5 = 1.6667

📌 Position Size

Amount Margin Quantity Leverage
1659.4691 100 82042.2737 16.59
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 9.0E-5

Taille de position = 8 / 9.0E-5 = 88888.89

Taille de position USD = 88888.89 x 0.02023 = 1798.22

Donc, tu peux acheter 88888.89 avec un stoploss a 0.02032

Avec un position size USD de 1798.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 88888.89 x 9.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 88888.89 x 0.00015 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

  • Taille de position 88888.89
  • Taille de position USD 1798.22
  • Perte potentielle 8
  • Gain potentiel 13.33
  • Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target TP $ Target
0.74 % 12.31 $
SL % Target SL $ Target
0.44 % 7.38 $
PNL PNL %
-7.38 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.46959960454769 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02008
            [entry_price] => 0.02023
            [stop_loss] => 0.020329
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-27 02:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02008
            [entry_price] => 0.02023
            [stop_loss] => 0.020338
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-27 02:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02008
            [entry_price] => 0.02023
            [stop_loss] => 0.020347
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-27 02:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02008
            [entry_price] => 0.02023
            [stop_loss] => 0.020365
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-27 02:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 6.8000000000002E-5
            [max_drawdown] => 0.000436
            [rr_ratio] => 0.16
            [high] => 0.02066600
            [low] => 0.02016200
            [mfe_pct] => 0.34
            [mae_pct] => 2.16
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 24
            [start_at] => 2025-05-27T01:55:20-04:00
            [end_at] => 2025-05-27T03:55:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 6.8000000000002E-5
            [max_drawdown] => 0.000579
            [rr_ratio] => 0.12
            [high] => 0.02080900
            [low] => 0.02016200
            [mfe_pct] => 0.34
            [mae_pct] => 2.86
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-05-27T01:55:20-04:00
            [end_at] => 2025-05-27T07:55:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02026300
            [high_after] => 0.02080900
            [low_before] => 0.01978300
            [low_after] => 0.02016200
            [is_new_high] => 
            [is_new_low] => 
        )

)