Web3Way Logo

Trade

sell - BROCCOLIF3B

Status
loss
2025-05-16 01:12:01
22 minutes
PNL
-2.29
Entry: 0.01224
Last: 0.01252000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -4.9931
Prediction 1 Probability
Strong Trade
0.55
Prediction 2 Probability
1 0.44
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.19

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.0001851442924
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.012589
  4. ema21 - 0.0144535
  5. ema50 - 0.017324
  6. ema100 - 0.0188627
  7. price_ema9_diff - -0.0274064
  8. ema9_ema21_diff - -0.129002
  9. ema21_ema50_diff - -0.165695
  10. price_ema100_diff - -0.350889
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.352009
  14. kc_percentage - 0.124493
  15. kc_width_percentage - 0.449298
    16. ¸
  16. 15m
  17. ema9 - 0.0118641
  18. ema21 - 0.0120232
  19. ema50 - 0.0132014
  20. ema100 - 0.0148858
  21. price_ema9_diff - 0.0320147
  22. ema9_ema21_diff - -0.013232
  23. ema21_ema50_diff - -0.0892481
  24. price_ema100_diff - -0.177475
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.503863
  28. kc_percentage - 0.656247
  29. kc_width_percentage - 0.129166
    30. ¸
  30. 5m
  31. ema9 - 0.0118907
  32. ema21 - 0.0118479
  33. ema50 - 0.0118958
  34. ema100 - 0.0121132
  35. price_ema9_diff - 0.0297089
  36. ema9_ema21_diff - 0.00361318
  37. ema21_ema50_diff - -0.00402503
  38. price_ema100_diff - 0.0107906
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.648122
  42. kc_percentage - 1.04228
  43. kc_width_percentage - 0.0596256
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103810
  47. 5m_price_ema100_diff: 0.00134405
  48. 5m_price: 103950
  49. 5m_correlation_with_coin: -0.131951
  50. btc_indicators
  51. 15m_ema100: 103260
  52. 15m_price_ema100_diff: 0.00667356
  53. 15m_price: 103950
  54. btc_indicators
  55. 1H_ema100: 103354
  56. 1H_price_ema100_diff: 0.00576194
  57. 1H_price: 103950
    58. ¸

Short Trade on BROCCOLIF3B

The 16 May 2025 at 01:12:01

With 28806.3611 BROCCOLIF3B at 0.01224$ per unit.

Position size of 352.7051 $

Take profit at 0.01183 (3.35 %) and Stop Loss at 0.01252 (2.29 %)

That's a 1.46 RR Trade

📌 Similar Trades

Similar Trade Score: -15.31 %

Symbol Start at Seach Score Trade Score Trades Count
NEIROETH 2025-08-16 18:43:10 0.9748 -100 2
BTC 2025-08-18 09:13:40 0.9734 -32.5 4
XRP 2025-08-18 09:19:39 0.9747 50 1
SOL 2025-08-18 09:00:12 0.9744 70 1
RENDER 2025-08-18 09:05:45 0.973 30 1
SUI 2025-08-18 09:22:31 0.971 60 1
HBAR 2025-04-09 00:40:50 0.9706 -100 1
WCT 2025-05-31 17:10:22 0.9704 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
01:12:01		 16 May 2025
01:35:00		 22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01224 0.01252 0.01183 1.46 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 0.01224
  • Stop Loss: 0.01252
  • Take Profit: 0.01183

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01252 - 0.01224 = 0.00028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01224 - 0.01183 = 0.00041

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00041 / 0.00028 = 1.4643

📌 Position Size

Amount Margin Quantity Leverage
352.7051 100 28806.3611 3.53
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 0.00028

Taille de position = 8 / 0.00028 = 28571.43

Taille de position USD = 28571.43 x 0.01224 = 349.71

Donc, tu peux acheter 28571.43 avec un stoploss a 0.01252

Avec un position size USD de 349.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00041 = 11.71

Si Take Profit atteint, tu gagneras 11.71$

Résumé

  • Taille de position 28571.43
  • Taille de position USD 349.71
  • Perte potentielle 8
  • Gain potentiel 11.71
  • Risk-Reward Ratio 1.4643

📌 Peformances

TP % Target TP $ Target
3.35 % 11.81 $
SL % Target SL $ Target
2.29 % 8.07 $
PNL PNL %
-8.07 $ -2.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.7908496732026 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01224
            [stop_loss] => 0.012548
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01224
            [stop_loss] => 0.012576
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01224
            [stop_loss] => 0.012604
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01224
            [stop_loss] => 0.01266
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000223
            [max_drawdown] => 0.001321
            [rr_ratio] => 0.17
            [high] => 0.01356100
            [low] => 0.01201700
            [mfe_pct] => 1.82
            [mae_pct] => 10.79
            [mfe_mae_ratio] => 0.17
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T01:12:01-04:00
            [end_at] => 2025-05-16T03:12:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000223
            [max_drawdown] => 0.002504
            [rr_ratio] => 0.09
            [high] => 0.01474400
            [low] => 0.01201700
            [mfe_pct] => 1.82
            [mae_pct] => 20.46
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T01:12:01-04:00
            [end_at] => 2025-05-16T07:12:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01246700
            [high_after] => 0.01474400
            [low_before] => 0.01137900
            [low_after] => 0.01201700
            [is_new_high] => 
            [is_new_low] => 
        )

)