Web3Way Logo

Trade

sell - BROCCOLIF3B

Status
loss
2025-05-16 03:46:41
8 minutes
PNL
-3.95
Entry: 0.01391
Last: 0.01446000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -2.3545
Prediction 1 Probability
Weak Trade
0.71
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 2.07

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0003648728049
Details
  1. score: 1.15
  2. 1H
  3. ema9 - 0.0128744
  4. ema21 - 0.0142627
  5. ema50 - 0.0170726
  6. ema100 - 0.0188717
  7. price_ema9_diff - 0.0805162
  8. ema9_ema21_diff - -0.0973416
  9. ema21_ema50_diff - -0.164583
  10. price_ema100_diff - -0.262866
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.452019
  14. kc_percentage - 0.460816
  15. kc_width_percentage - 0.412046
    16. ¸
  16. 15m
  17. ema9 - 0.0128854
  18. ema21 - 0.0125806
  19. ema50 - 0.0130451
  20. ema100 - 0.0142075
  21. price_ema9_diff - 0.0795888
  22. ema9_ema21_diff - 0.0242274
  23. ema21_ema50_diff - -0.0356084
  24. price_ema100_diff - -0.0208761
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.670657
  28. kc_percentage - 1.09073
  29. kc_width_percentage - 0.160783
    30. ¸
  30. 5m
  31. ema9 - 0.0131709
  32. ema21 - 0.0128699
  33. ema50 - 0.0125373
  34. ema100 - 0.0122876
  35. price_ema9_diff - 0.0561856
  36. ema9_ema21_diff - 0.0233933
  37. ema21_ema50_diff - 0.0265261
  38. price_ema100_diff - 0.132113
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.760263
  42. kc_percentage - 1.14763
  43. kc_width_percentage - 0.113685
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103906
  47. 5m_price_ema100_diff: -0.00108564
  48. 5m_price: 103793
  49. 5m_correlation_with_coin: 0.019117
  50. btc_indicators
  51. 15m_ema100: 103366
  52. 15m_price_ema100_diff: 0.00412529
  53. 15m_price: 103793
  54. btc_indicators
  55. 1H_ema100: 103395
  56. 1H_price_ema100_diff: 0.0038494
  57. 1H_price: 103793
    58. ¸

Short Trade on BROCCOLIF3B

The 16 May 2025 at 03:46:41

With 14616.9659 BROCCOLIF3B at 0.01391$ per unit.

Position size of 203.3366 $

Take profit at 0.01309 (5.9 %) and Stop Loss at 0.01446 (3.95 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -33.57 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-08-18 12:11:18 0.9641 50 1
RVN 2025-06-17 08:18:02 0.9632 -100 1
FRAG 2025-08-02 22:03:23 0.9621 30 1
S 2025-06-21 01:39:01 0.9576 -45 4
POL 2025-07-29 01:45:02 0.9558 -100 2
PAXG 2025-05-27 15:47:26 0.9565 30 2
SUI 2025-08-18 12:02:06 0.9552 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
03:46:41		 16 May 2025
03:55:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01391 0.01446 0.01309 1.49 0.00972
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 0.01391
  • Stop Loss: 0.01446
  • Take Profit: 0.01309

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01446 - 0.01391 = 0.00055

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01391 - 0.01309 = 0.00082

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00082 / 0.00055 = 1.4909

📌 Position Size

Amount Margin Quantity Leverage
203.3366 100 14616.9659 2.03
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 0.00055

Taille de position = 8 / 0.00055 = 14545.45

Taille de position USD = 14545.45 x 0.01391 = 202.33

Donc, tu peux acheter 14545.45 avec un stoploss a 0.01446

Avec un position size USD de 202.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 14545.45 x 0.00055 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 14545.45 x 0.00082 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position 14545.45
  • Taille de position USD 202.33
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4909

📌 Peformances

TP % Target TP $ Target
5.9 % 11.99 $
SL % Target SL $ Target
3.95 % 8.04 $
PNL PNL %
-8.04 $ -3.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-4.7375988497484 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01391
            [stop_loss] => 0.014515
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-16 03:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01391
            [stop_loss] => 0.01457
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-16 04:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01391
            [stop_loss] => 0.014625
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-16 04:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01309
            [entry_price] => 0.01391
            [stop_loss] => 0.014735
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-16 04:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001109
            [max_drawdown] => 0.000834
            [rr_ratio] => 1.33
            [high] => 0.01474400
            [low] => 0.01280100
            [mfe_pct] => 7.97
            [mae_pct] => 6
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T03:46:41-04:00
            [end_at] => 2025-05-16T05:46:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001401
            [max_drawdown] => 0.000834
            [rr_ratio] => 1.68
            [high] => 0.01474400
            [low] => 0.01250900
            [mfe_pct] => 10.07
            [mae_pct] => 6
            [mfe_mae_ratio] => 1.68
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T03:46:41-04:00
            [end_at] => 2025-05-16T09:46:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01412100
            [high_after] => 0.01474400
            [low_before] => 0.01148200
            [low_after] => 0.01250900
            [is_new_high] => 
            [is_new_low] => 
        )

)