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Trade

sell - BROCCOLIF3B

Status
loss
2025-05-14 22:56:59
1 hour
PNL
-1.91
Entry: 0.01935
Last: 0.01972000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -4.6191
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.44
Prediction 3 Probability
n/a
ML Trade Score: -60
ML Pullback Score: 8.36

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.0002435911822
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 0.0199886
  4. ema21 - 0.0214405
  5. ema50 - 0.0223197
  6. ema100 - 0.0222651
  7. price_ema9_diff - -0.0318509
  8. ema9_ema21_diff - -0.0677178
  9. ema21_ema50_diff - -0.0393891
  10. price_ema100_diff - -0.13084
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.389767
  14. kc_percentage - 0.203986
  15. kc_width_percentage - 0.350492
    16. ¸
  16. 15m
  17. ema9 - 0.0188861
  18. ema21 - 0.0192678
  19. ema50 - 0.0205514
  20. ema100 - 0.0217851
  21. price_ema9_diff - 0.0246673
  22. ema9_ema21_diff - -0.0198108
  23. ema21_ema50_diff - -0.0624562
  24. price_ema100_diff - -0.111687
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.472829
  28. kc_percentage - 0.564678
  29. kc_width_percentage - 0.103802
    30. ¸
  30. 5m
  31. ema9 - 0.0190231
  32. ema21 - 0.0188441
  33. ema50 - 0.0190547
  34. ema100 - 0.0199255
  35. price_ema9_diff - 0.0172874
  36. ema9_ema21_diff - 0.00949845
  37. ema21_ema50_diff - -0.0110541
  38. price_ema100_diff - -0.0287869
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.666567
  42. kc_percentage - 1.02553
  43. kc_width_percentage - 0.0493638
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103344
  47. 5m_price_ema100_diff: -0.00337401
  48. 5m_price: 102995
  49. 5m_correlation_with_coin: -0.105881
  50. btc_indicators
  51. 15m_ema100: 103496
  52. 15m_price_ema100_diff: -0.00484403
  53. 15m_price: 102995
  54. btc_indicators
  55. 1H_ema100: 103700
  56. 1H_price_ema100_diff: -0.0067982
  57. 1H_price: 102995
    58. ¸

Short Trade on BROCCOLIF3B

The 14 May 2025 at 22:56:59

With 21894.6075 BROCCOLIF3B at 0.01935$ per unit.

Position size of 423.7044 $

Take profit at 0.0188 (2.84 %) and Stop Loss at 0.01972 (1.91 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: -29.44 %

Symbol Start at Seach Score Trade Score Trades Count
LPT 2025-06-02 04:07:00 0.9385 40 1
DOLO 2025-08-18 04:10:28 0.9372 30 1
CRO 2025-08-01 08:03:55 0.9308 -100 2
HYPE 2025-06-01 10:20:22 0.928 30 1
SKL 2025-08-16 07:25:20 0.9188 5 4
BOME 2025-08-11 21:45:57 0.9196 -100 1
AVAX 2025-08-11 21:07:51 0.9135 -100 1
SWELL 2025-07-31 23:07:35 0.9129 30 1
USUAL 2025-08-11 21:25:53 0.9125 -100 1

📌 Time Data

Start at Closed at Duration
14 May 2025
22:56:59		 15 May 2025
00:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01935 0.01972 0.0188 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 0.01935
  • Stop Loss: 0.01972
  • Take Profit: 0.0188

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01972 - 0.01935 = 0.00037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01935 - 0.0188 = 0.00055

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00055 / 0.00037 = 1.4865

📌 Position Size

Amount Margin Quantity Leverage
423.7044 100 21894.6075 4.24
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 0.00037

Taille de position = 8 / 0.00037 = 21621.62

Taille de position USD = 21621.62 x 0.01935 = 418.38

Donc, tu peux acheter 21621.62 avec un stoploss a 0.01972

Avec un position size USD de 418.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 21621.62 x 0.00037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 21621.62 x 0.00055 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

  • Taille de position 21621.62
  • Taille de position USD 418.38
  • Perte potentielle 8
  • Gain potentiel 11.89
  • Risk-Reward Ratio 1.4865

📌 Peformances

TP % Target TP $ Target
2.84 % 12.04 $
SL % Target SL $ Target
1.91 % 8.1 $
PNL PNL %
-8.1 $ -1.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.9948320413437 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0188
            [entry_price] => 0.01935
            [stop_loss] => 0.019757
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 00:40:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 0.0188
            [entry_price] => 0.01935
            [stop_loss] => 0.019794
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 00:40:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.0188
            [entry_price] => 0.01935
            [stop_loss] => 0.019831
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 00:40:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.0188
            [entry_price] => 0.01935
            [stop_loss] => 0.019905
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 00:40:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00115
            [max_drawdown] => 0.000386
            [rr_ratio] => 2.98
            [high] => 0.01973600
            [low] => 0.01820000
            [mfe_pct] => 5.94
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 2.98
            [candles_analyzed] => 24
            [start_at] => 2025-05-14T22:56:59-04:00
            [end_at] => 2025-05-15T00:56:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00381
            [max_drawdown] => 0.000386
            [rr_ratio] => 9.87
            [high] => 0.01973600
            [low] => 0.01554000
            [mfe_pct] => 19.69
            [mae_pct] => 1.99
            [mfe_mae_ratio] => 9.87
            [candles_analyzed] => 72
            [start_at] => 2025-05-14T22:56:59-04:00
            [end_at] => 2025-05-15T04:56:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01952900
            [high_after] => 0.01973600
            [low_before] => 0.01759800
            [low_after] => 0.01554000
            [is_new_high] => 
            [is_new_low] => 1
        )

)