Trade

sell - BRETT

Status
win
2025-06-05 23:49:02
15 minutes
PNL
1.03
Entry: 0.0464
Last: 0.04592000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.7437
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
2 0.42
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.36
  4. atr: 0.0002116194167
Details
  1. score: 1.36
  2. 1H
  3. ema9 - 0.0460846
  4. ema21 - 0.0472944
  5. ema50 - 0.0493686
  6. ema100 - 0.0510944
  7. price_ema9_diff - 0.00684271
  8. ema9_ema21_diff - -0.0255801
  9. ema21_ema50_diff - -0.042014
  10. price_ema100_diff - -0.0918779
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.420502
  14. kc_percentage - 0.350308
  15. kc_width_percentage - 0.115208
  16. volume_ema_diff - -0.569363
  17. ¸
  18. 15m
  19. ema9 - 0.045617
  20. ema21 - 0.0456173
  21. ema50 - 0.0463492
  22. ema100 - 0.0473064
  23. price_ema9_diff - 0.0171639
  24. ema9_ema21_diff - -6.26716E-6
  25. ema21_ema50_diff - -0.0157926
  26. price_ema100_diff - -0.019162
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.596651
  30. kc_percentage - 0.939307
  31. kc_width_percentage - 0.0391606
  32. volume_ema_diff - -0.712617
  33. ¸
  34. 5m
  35. ema9 - 0.0459391
  36. ema21 - 0.0456473
  37. ema50 - 0.0455424
  38. ema100 - 0.0456959
  39. price_ema9_diff - 0.0100322
  40. ema9_ema21_diff - 0.0063913
  41. ema21_ema50_diff - 0.00230453
  42. price_ema100_diff - 0.0154078
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.728962
  46. kc_percentage - 1.35785
  47. kc_width_percentage - 0.0185703
  48. volume_ema_diff - 0.189415
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 101812
  53. 5m_price_ema100_diff: 0.00623767
  54. 5m_price: 102447
  55. 5m_correlation_with_coin: 0.788307
  56. btc_indicators
  57. 15m_ema100: 103048
  58. 15m_price_ema100_diff: -0.0058287
  59. 15m_price: 102447
  60. btc_indicators
  61. 1H_ema100: 104448
  62. 1H_price_ema100_diff: -0.0191565
  63. 1H_price: 102447
  64. ¸

Short Trade on BRETT

The 05 Jun 2025 at 23:49:02

With 25200 BRETT at 0.0464$ per unit.

Position size of 1169 $

Take profit at 0.04592 (1 %) and Stop Loss at 0.04672 (0.69 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -75.45 %

Symbol Start at Seach Score Trade Score Trades Count
IO 2025-06-05 23:48:52 0.9805 30 1
RENDER 2025-06-05 23:49:59 0.9803 -100 1
SEI 2025-06-05 23:52:39 0.9748 -100 2
WLD 2025-06-05 23:47:24 0.9772 -100 1
GRIFFAIN 2025-06-05 23:51:03 0.9747 40 1
CAKE 2025-06-05 23:48:23 0.9742 -100 1
ORDI 2025-06-05 23:47:13 0.9729 -100 1
SHIB 2025-06-05 23:45:01 0.9726 -100 1
GOAT 2025-06-05 23:50:20 0.9724 -100 1
ZRO 2025-06-05 23:49:24 0.9714 -100 1
ONDO 2025-06-05 23:48:12 0.9706 -100 1

📌 Time Data

Start at Closed at Duration
05 Jun 2025
23:49:02
06 Jun 2025
00:05:00
15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0464 0.04672 0.04592 1.5 0.0659
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 0.0464
  • Stop Loss: 0.04672
  • Take Profit: 0.04592

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.04672 - 0.0464 = 0.00032

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0464 - 0.04592 = 0.00047999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00047999999999999 / 0.00032 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1169 100 25200 11.69
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 0.0464 = 1160

Donc, tu peux acheter 25000 avec un stoploss a 0.04672

Avec un position size USD de 1160$

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 0.00047999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 25000
  • Taille de position USD 1160
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.69 % 8.1 $
PNL PNL %
12 $ 1.03
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04576
            [stop_loss] => 0.04672
            [rr_ratio] => 2
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.0456
            [stop_loss] => 0.04672
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.04544
            [stop_loss] => 0.04672
            [rr_ratio] => 3
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.04528
            [stop_loss] => 0.04672
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.04512
            [stop_loss] => 0.04672
            [rr_ratio] => 4
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.04496
            [stop_loss] => 0.04672
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0448
            [stop_loss] => 0.04672
            [rr_ratio] => 5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.04464
            [stop_loss] => 0.04672
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.04448
            [stop_loss] => 0.04672
            [rr_ratio] => 6
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.04432
            [stop_loss] => 0.04672
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.04416
            [stop_loss] => 0.04672
            [rr_ratio] => 7
            [closed_at] => 2025-06-06 00:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)