Trade

buy - BROCCOLIF3B

Status
win
2025-06-08 14:03:43
1 hour
PNL
1.31
Entry: 0.0107
Last: 0.01084000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.9424
Prediction 1 Accuracy
Weak Trade
0.5
Prediction 2 Accuracy
1 0.4
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 5.831668545E-5
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.010774
  4. ema21 - 0.010623
  5. ema50 - 0.010469
  6. ema100 - 0.0106434
  7. price_ema9_diff - -0.00641248
  8. ema9_ema21_diff - 0.0142205
  9. ema21_ema50_diff - 0.0147085
  10. price_ema100_diff - 0.00578468
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.535859
  14. kc_percentage - 0.556698
  15. kc_width_percentage - 0.115152
  16. volume_ema_diff - -0.0624772
  17. ¸
  18. 15m
  19. ema9 - 0.0108021
  20. ema21 - 0.0108247
  21. ema50 - 0.0107286
  22. ema100 - 0.0105565
  23. price_ema9_diff - -0.00899188
  24. ema9_ema21_diff - -0.00209012
  25. ema21_ema50_diff - 0.00895637
  26. price_ema100_diff - 0.0140623
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.419653
  30. kc_percentage - 0.266128
  31. kc_width_percentage - 0.0482851
  32. volume_ema_diff - -0.695266
  33. ¸
  34. 5m
  35. ema9 - 0.010777
  36. ema21 - 0.0108139
  37. ema50 - 0.0108348
  38. ema100 - 0.0107635
  39. price_ema9_diff - -0.00668653
  40. ema9_ema21_diff - -0.00340812
  41. ema21_ema50_diff - -0.00193006
  42. price_ema100_diff - -0.00544376
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.315504
  46. kc_percentage - -0.00283051
  47. kc_width_percentage - 0.0197898
  48. volume_ema_diff - -0.484367
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 105780
  53. 5m_price_ema100_diff: 0.00179137
  54. 5m_price: 105969
  55. 5m_correlation_with_coin: 0.218689
  56. btc_indicators
  57. 15m_ema100: 105630
  58. 15m_price_ema100_diff: 0.00321472
  59. 15m_price: 105969
  60. btc_indicators
  61. 1H_ema100: 104946
  62. 1H_price_ema100_diff: 0.00974489
  63. 1H_price: 105969
  64. ¸

Long Trade on BROCCOLIF3B

The 08 Jun 2025 at 14:03:43

With 91450 BROCCOLIF3B at 0.0107$ per unit.

Position size of 979 $

Take profit at 0.01084 (1.3 %) and Stop Loss at 0.01062 (0.75 %)

That's a 1.8 RR Trade

📌 Similar Trades

Similar Trade Score: 10.31 %

Symbol Start at Seach Score Trade Score Trades Count
ENA 2025-06-10 21:35:11 0.8664 -100 3
APT 2025-06-10 21:50:04 0.8548 30 2
SEI 2025-06-10 21:47:21 0.8462 32.5 4
GALA 2025-06-10 21:41:49 0.8418 30 1
NKN 2025-04-19 02:00:40 0.8395 90 1
POPCAT 2025-05-07 09:25:48 0.8392 60 1
LISTA 2025-06-10 21:08:09 0.8349 -100 1
CTK 2025-06-29 17:46:32 0.8333 40 1

📌 Time Data

Start at Closed at Duration
08 Jun 2025
14:03:43
08 Jun 2025
15:05:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0107 0.01062 0.01084 1.8 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 0.0107
  • Stop Loss: 0.01062
  • Take Profit: 0.01084

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.01062 - 0.0107 = -8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0107 - 0.01084 = -0.00014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00014 / -8.0E-5 = 1.75

📌 Position Size

Amount Margin Quantity Leverage
979 100 91450 9.79
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 -8.0E-5

Taille de position = 8 / -8.0E-5 = -100000

Taille de position USD = -100000 x 0.0107 = -1070

Donc, tu peux acheter -100000 avec un stoploss a 0.01062

Avec un position size USD de -1070$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -100000 x -8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -100000 x -0.00014 = 14

Si Take Profit atteint, tu gagneras 14$

Résumé

  • Taille de position -100000
  • Taille de position USD -1070
  • Perte potentielle 8
  • Gain potentiel 14
  • Risk-Reward Ratio 1.75

📌 Peformances

TP % Target TP $ Target
1.3 % 13 $
SL % Target SL $ Target
0.75 % 7.3 $
PNL PNL %
13 $ 1.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01086
            [stop_loss] => 0.01062
            [rr_ratio] => 2
            [closed_at] => 2025-06-08 15:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0109
            [stop_loss] => 0.01062
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-08 17:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01094
            [stop_loss] => 0.01062
            [rr_ratio] => 3
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.01098
            [stop_loss] => 0.01062
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.01102
            [stop_loss] => 0.01062
            [rr_ratio] => 4
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.01106
            [stop_loss] => 0.01062
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0111
            [stop_loss] => 0.01062
            [rr_ratio] => 5
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.01114
            [stop_loss] => 0.01062
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.01118
            [stop_loss] => 0.01062
            [rr_ratio] => 6
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.01122
            [stop_loss] => 0.01062
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.01126
            [stop_loss] => 0.01062
            [rr_ratio] => 7
            [closed_at] => 2025-06-08 19:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)