Trade

sell - BAT

Status
win
2025-07-05 07:25:17
4 minutes
PNL
0.16
Entry: 0.1243
Last: 0.12410000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.0688
Prediction 1 Accuracy
Weak Trade
0.53
Prediction 2 Accuracy
0 0.4
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.42
  4. atr: 0.0001068263685
Details
  1. score: 1.42
  2. 1H
  3. ema9 - 0.124041
  4. ema21 - 0.124607
  5. ema50 - 0.125818
  6. ema100 - 0.126033
  7. price_ema9_diff - 0.00208698
  8. ema9_ema21_diff - -0.00454353
  9. ema21_ema50_diff - -0.0096263
  10. price_ema100_diff - -0.0137576
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.449251
  14. kc_percentage - 0.421801
  15. kc_width_percentage - 0.0254706
  16. volume_ema_diff - -0.208438
  17. volume_ema1 - 76450.530644955
  18. volume_ema2 - 96581.91239628
  19. ¸
  20. 15m
  21. ema9 - 0.123866
  22. ema21 - 0.123853
  23. ema50 - 0.124055
  24. ema100 - 0.124589
  25. price_ema9_diff - 0.00349825
  26. ema9_ema21_diff - 0.000108598
  27. ema21_ema50_diff - -0.00162647
  28. price_ema100_diff - -0.00232659
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.541173
  32. kc_percentage - 0.897168
  33. kc_width_percentage - 0.00911381
  34. volume_ema_diff - -0.990284
  35. volume_ema1 - 428.15218384391
  36. volume_ema2 - 44068.531825815
  37. ¸
  38. 5m
  39. ema9 - 0.124095
  40. ema21 - 0.123924
  41. ema50 - 0.123849
  42. ema100 - 0.123927
  43. price_ema9_diff - 0.00164857
  44. ema9_ema21_diff - 0.00137873
  45. ema21_ema50_diff - 0.000602451
  46. price_ema100_diff - 0.00300871
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.68298
  50. kc_percentage - 1.42054
  51. kc_width_percentage - 0.00319902
  52. volume_ema_diff - -0.992285
  53. volume_ema1 - 44.518164415344
  54. volume_ema2 - 5770.4071010488
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108040
  59. 5m_price_ema100_diff: 0.000722255
  60. 5m_price: 108119
  61. 5m_correlation_with_coin: 0.414828
  62. btc_indicators
  63. 15m_ema100: 108117
  64. 15m_price_ema100_diff: -0.000262743
  65. 15m_price: 108088
  66. btc_indicators
  67. 1H_ema100: 108090
  68. 1H_price_ema100_diff: 0.000264331
  69. 1H_price: 108119
  70. ¸

Short Trade on BAT

The 05 Jul 2025 at 07:25:17

With 49930 BAT at 0.1243$ per unit.

Position size of 6206 $

Take profit at 0.1241 (0.16 %) and Stop Loss at 0.1245 (0.16 %)

That's a 1 RR Trade

📌 Similar Trades

Similar Trade Score: -13.57 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-05-03 08:54:31 0.6063 -100 3
POPCAT 2025-06-05 09:02:32 0.6005 -100 2
LTC 2025-05-28 17:53:04 0.5903 45 4
SPX 2025-06-27 17:32:36 0.5918 30 1
FARTCOIN 2025-04-27 00:12:17 0.579 30 1
MUBARAK 2025-03-31 01:43:38 0.5738 100 1
BANANAS31 2025-05-29 17:03:13 0.5714 -100 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
07:25:17
05 Jul 2025
07:30:00
4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1243 0.1245 0.1241 1 0.1273
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 0.1243
  • Stop Loss: 0.1245
  • Take Profit: 0.1241

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1245 - 0.1243 = 0.00020000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1243 - 0.1241 = 0.00019999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00019999999999999 / 0.00020000000000001 = 1

📌 Position Size

Amount Margin Quantity Leverage
6206 100 49930 62.06
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 0.00020000000000001

Taille de position = 8 / 0.00020000000000001 = 40000

Taille de position USD = 40000 x 0.1243 = 4972

Donc, tu peux acheter 40000 avec un stoploss a 0.1245

Avec un position size USD de 4972$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 40000 x 0.00020000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 40000 x 0.00019999999999999 = 8

Si Take Profit atteint, tu gagneras 8$

Résumé

  • Taille de position 40000
  • Taille de position USD 4972
  • Perte potentielle 8
  • Gain potentiel 8
  • Risk-Reward Ratio 1

📌 Peformances

TP % Target TP $ Target
0.16 % 10 $
SL % Target SL $ Target
0.16 % 10 $
PNL PNL %
10 $ 0.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1239
            [stop_loss] => 0.1245
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1238
            [stop_loss] => 0.1245
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1237
            [stop_loss] => 0.1245
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1236
            [stop_loss] => 0.1245
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1235
            [stop_loss] => 0.1245
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 08:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1234
            [stop_loss] => 0.1245
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1233
            [stop_loss] => 0.1245
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 08:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1232
            [stop_loss] => 0.1245
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 09:50:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1231
            [stop_loss] => 0.1245
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 10:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.123
            [stop_loss] => 0.1245
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-05 11:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.1229
            [stop_loss] => 0.1245
            [rr_ratio] => 7
            [closed_at] => 2025-07-05 11:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)