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Trade

sell - BROCCOLIF3B

Status
loss
2025-05-16 01:19:07
15 minutes
PNL
-2.37
Entry: 0.01225
Last: 0.01254000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -7.8884
Prediction 1 Probability
Strong Trade
0.64
Prediction 2 Probability
1 0.47
Prediction 3 Probability
n/a
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: 0.01
  4. atr: 0.0001877300785
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.012514
  4. ema21 - 0.014417
  5. ema50 - 0.0173257
  6. ema100 - 0.0188944
  7. price_ema9_diff - -0.0207018
  8. ema9_ema21_diff - -0.131994
  9. ema21_ema50_diff - -0.167883
  10. price_ema100_diff - -0.351397
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.339571
  14. kc_percentage - 0.123493
  15. kc_width_percentage - 0.436926
    16. ¸
  16. 15m
  17. ema9 - 0.0119014
  18. ema21 - 0.012027
  19. ema50 - 0.0131626
  20. ema100 - 0.0148095
  21. price_ema9_diff - 0.0297068
  22. ema9_ema21_diff - -0.0104401
  23. ema21_ema50_diff - -0.0862766
  24. price_ema100_diff - -0.172492
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.507057
  28. kc_percentage - 0.661762
  29. kc_width_percentage - 0.127107
    30. ¸
  30. 5m
  31. ema9 - 0.0119464
  32. ema21 - 0.0118761
  33. ema50 - 0.0119126
  34. ema100 - 0.012164
  35. price_ema9_diff - 0.0258259
  36. ema9_ema21_diff - 0.00592371
  37. ema21_ema50_diff - -0.00306551
  38. price_ema100_diff - 0.00747367
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.635904
  42. kc_percentage - 1.00626
  43. kc_width_percentage - 0.0608208
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103785
  47. 5m_price_ema100_diff: 0.00203929
  48. 5m_price: 103996
  49. 5m_correlation_with_coin: -0.094243
  50. btc_indicators
  51. 15m_ema100: 103275
  52. 15m_price_ema100_diff: 0.00698372
  53. 15m_price: 103996
  54. btc_indicators
  55. 1H_ema100: 103355
  56. 1H_price_ema100_diff: 0.00620478
  57. 1H_price: 103996
    58. ¸

Short Trade on BROCCOLIF3B

The 16 May 2025 at 01:19:07

With 28409.5835 BROCCOLIF3B at 0.01225$ per unit.

Position size of 348.1594 $

Take profit at 0.01183 (3.43 %) and Stop Loss at 0.01254 (2.37 %)

That's a 1.45 RR Trade

📌 Similar Trades

Similar Trade Score: -32.5 %

Symbol Start at Seach Score Trade Score Trades Count
NEIROETH 2025-08-16 18:47:46 0.9753 -100 1
BTC 2025-08-18 09:18:28 0.9737 -10 3
XRP 2025-08-18 09:19:39 0.9732 50 1
HBAR 2025-04-09 00:40:50 0.9722 -100 1
RENDER 2025-08-18 09:05:45 0.9713 30 1
SOL 2025-08-18 09:00:12 0.9712 70 1
FRAG 2025-08-02 20:18:08 0.9707 -100 2
WCT 2025-05-31 17:16:55 0.9703 -100 1

📌 Time Data

Start at Closed at Duration
16 May 2025
01:19:07		 16 May 2025
01:35:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01225 0.01254 0.01183 1.45 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 0.01225
  • Stop Loss: 0.01254
  • Take Profit: 0.01183

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01254 - 0.01225 = 0.00029

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01225 - 0.01183 = 0.00042

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00042 / 0.00029 = 1.4483

📌 Position Size

Amount Margin Quantity Leverage
348.1594 100 28409.5835 3.48
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 0.00029

Taille de position = 8 / 0.00029 = 27586.21

Taille de position USD = 27586.21 x 0.01225 = 337.93

Donc, tu peux acheter 27586.21 avec un stoploss a 0.01254

Avec un position size USD de 337.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27586.21 x 0.00029 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27586.21 x 0.00042 = 11.59

Si Take Profit atteint, tu gagneras 11.59$

Résumé

  • Taille de position 27586.21
  • Taille de position USD 337.93
  • Perte potentielle 8
  • Gain potentiel 11.59
  • Risk-Reward Ratio 1.4483

📌 Peformances

TP % Target TP $ Target
3.43 % 11.93 $
SL % Target SL $ Target
2.37 % 8.24 $
PNL PNL %
-8.24 $ -2.37
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-3.7061224489796 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01225
            [stop_loss] => 0.012569
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01225
            [stop_loss] => 0.012598
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01225
            [stop_loss] => 0.012627
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01183
            [entry_price] => 0.01225
            [stop_loss] => 0.012685
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-16 01:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000233
            [max_drawdown] => 0.001311
            [rr_ratio] => 0.18
            [high] => 0.01356100
            [low] => 0.01201700
            [mfe_pct] => 1.9
            [mae_pct] => 10.7
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T01:19:07-04:00
            [end_at] => 2025-05-16T03:19:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000233
            [max_drawdown] => 0.002494
            [rr_ratio] => 0.09
            [high] => 0.01474400
            [low] => 0.01201700
            [mfe_pct] => 1.9
            [mae_pct] => 20.36
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T01:19:07-04:00
            [end_at] => 2025-05-16T07:19:07-04:00
        )

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

)