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Trade

sell - BROCCOLIF3B

Status
loss
2025-05-16 01:57:33
2 minutes
PNL
-2.51
Entry: 0.01277
Last: 0.01309000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -5.0457
Prediction 1 Probability
Weak Trade
0.52
Prediction 2 Probability
1 0.56
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.37

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0002154599027
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 0.0126313
  4. ema21 - 0.0144235
  5. ema50 - 0.0173064
  6. ema100 - 0.0188941
  7. price_ema9_diff - 0.01082
  8. ema9_ema21_diff - -0.124254
  9. ema21_ema50_diff - -0.166581
  10. price_ema100_diff - -0.324233
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.372356
  14. kc_percentage - 0.212631
  15. kc_width_percentage - 0.412497
    16. ¸
  16. 15m
  17. ema9 - 0.0122123
  18. ema21 - 0.0121532
  19. ema50 - 0.013101
  20. ema100 - 0.0145602
  21. price_ema9_diff - 0.0454951
  22. ema9_ema21_diff - 0.00486546
  23. ema21_ema50_diff - -0.0723424
  24. price_ema100_diff - -0.123092
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.584244
  28. kc_percentage - 0.886615
  29. kc_width_percentage - 0.127286
    30. ¸
  30. 5m
  31. ema9 - 0.0124718
  32. ema21 - 0.012223
  33. ema50 - 0.012069
  34. ema100 - 0.0121724
  35. price_ema9_diff - 0.0237462
  36. ema9_ema21_diff - 0.0203502
  37. ema21_ema50_diff - 0.0127665
  38. price_ema100_diff - 0.0489237
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.686911
  42. kc_percentage - 1.09696
  43. kc_width_percentage - 0.0697563
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 103804
  47. 5m_price_ema100_diff: 0.0004668
  48. 5m_price: 103852
  49. 5m_correlation_with_coin: -0.032027
  50. btc_indicators
  51. 15m_ema100: 103300
  52. 15m_price_ema100_diff: 0.00535133
  53. 15m_price: 103852
  54. btc_indicators
  55. 1H_ema100: 103352
  56. 1H_price_ema100_diff: 0.0048402
  57. 1H_price: 103852
    58. ¸

Short Trade on BROCCOLIF3B

The 16 May 2025 at 01:57:33

With 24753.2523 BROCCOLIF3B at 0.01277$ per unit.

Position size of 316.0495 $

Take profit at 0.01228 (3.84 %) and Stop Loss at 0.01309 (2.51 %)

That's a 1.53 RR Trade

📌 Similar Trades

Similar Trade Score: -24.29 %

Symbol Start at Seach Score Trade Score Trades Count
RVN 2025-06-17 06:32:37 0.976 30 1
HBAR 2025-04-09 01:15:48 0.9717 -100 2
FRAG 2025-08-02 20:18:08 0.9673 -100 2
SIREN 2025-08-11 17:09:02 0.9683 30 1
PAXG 2025-06-23 07:22:12 0.9675 -100 2
AIXBT 2025-06-20 23:01:34 0.9671 30 1
H 2025-07-24 09:47:30 0.9668 40 1

📌 Time Data

Start at Closed at Duration
16 May 2025
01:57:33		 16 May 2025
02:00:00		 2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01277 0.01309 0.01228 1.53 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 0.01277
  • Stop Loss: 0.01309
  • Take Profit: 0.01228

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01309 - 0.01277 = 0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01277 - 0.01228 = 0.00049

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00049 / 0.00032 = 1.5313

📌 Position Size

Amount Margin Quantity Leverage
316.0495 100 24753.2523 3.16
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 0.00032

Taille de position = 8 / 0.00032 = 25000

Taille de position USD = 25000 x 0.01277 = 319.25

Donc, tu peux acheter 25000 avec un stoploss a 0.01309

Avec un position size USD de 319.25$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25000 x 0.00032 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25000 x 0.00049 = 12.25

Si Take Profit atteint, tu gagneras 12.25$

Résumé

  • Taille de position 25000
  • Taille de position USD 319.25
  • Perte potentielle 8
  • Gain potentiel 12.25
  • Risk-Reward Ratio 1.5313

📌 Peformances

TP % Target TP $ Target
3.84 % 12.13 $
SL % Target SL $ Target
2.51 % 7.92 $
PNL PNL %
-7.92 $ -2.51
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-6.1942051683634 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01228
            [entry_price] => 0.01277
            [stop_loss] => 0.013122
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-16 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01228
            [entry_price] => 0.01277
            [stop_loss] => 0.013154
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-16 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01228
            [entry_price] => 0.01277
            [stop_loss] => 0.013186
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-16 02:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01228
            [entry_price] => 0.01277
            [stop_loss] => 0.01325
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-16 02:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000484
            [max_drawdown] => 0.001799
            [rr_ratio] => 0.27
            [high] => 0.01456900
            [low] => 0.01228600
            [mfe_pct] => 3.79
            [mae_pct] => 14.09
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-05-16T01:57:33-04:00
            [end_at] => 2025-05-16T03:57:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000484
            [max_drawdown] => 0.001974
            [rr_ratio] => 0.25
            [high] => 0.01474400
            [low] => 0.01228600
            [mfe_pct] => 3.79
            [mae_pct] => 15.46
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 72
            [start_at] => 2025-05-16T01:57:33-04:00
            [end_at] => 2025-05-16T07:57:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01292000
            [high_after] => 0.01474400
            [low_before] => 0.01148200
            [low_after] => 0.01228600
            [is_new_high] => 
            [is_new_low] => 
        )

)