Trade

sell - HBAR

Status
win
2025-05-29 17:59:50
45 minutes
PNL
0.49
Entry: 0.1822
Last: 0.18130000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.113
Prediction 1 Accuracy
Weak Trade
0.75
Prediction 2 Accuracy
0 0.6
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0003675453296
Details
  1. score: 1.09
  2. 1H: ema9 - 0.182034
  3. 1H: ema21 - 0.183514
  4. 1H: ema50 - 0.184944
  5. 1H: ema100 - 0.185553
  6. 1H: price_ema9_diff - 0.000690427
  7. 1H: ema9_ema21_diff - -0.00806696
  8. 1H: ema21_ema50_diff - -0.00773014
  9. 1H: price_ema100_diff - -0.0182861
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.435579
  13. 1H: kc_percentage - 0.343514
  14. 1H: kc_width_percentage - 0.0444374
  15. ¸
  16. 15m: ema9 - 0.181302
  17. 15m: ema21 - 0.181314
  18. 15m: ema50 - 0.182482
  19. 15m: ema100 - 0.183459
  20. 15m: price_ema9_diff - 0.00472753
  21. 15m: ema9_ema21_diff - -6.22015E-5
  22. 15m: ema21_ema50_diff - -0.00640126
  23. 15m: price_ema100_diff - -0.00708479
  24. 15m: all_emas_in_trend - True
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.544359
  27. 15m: kc_percentage - 0.75024
  28. 15m: kc_width_percentage - 0.019228
  29. ¸
  30. 5m: ema9 - 0.181645
  31. 5m: ema21 - 0.181363
  32. 5m: ema50 - 0.181185
  33. 5m: ema100 - 0.181524
  34. 5m: price_ema9_diff - 0.00283411
  35. 5m: ema9_ema21_diff - 0.00155419
  36. 5m: ema21_ema50_diff - 0.000980082
  37. 5m: price_ema100_diff - 0.0034997
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.642129
  41. 5m: kc_percentage - 1.08957
  42. 5m: kc_width_percentage - 0.00723455
  43. ¸

Short Trade on HBAR

The 29 May 2025 at 17:59:50

With 2643 HBAR at 0.1822$ per unit.

Take profit at 0.1813 (0.49 %) and Stop Loss at 0.1827 (0.27 %)

That's a 1.8 RR Trade

📌 Similar Trades

Similar Trade Score: -18.52 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-05-29 17:58:31 0.9812 30 1
ONDO 2025-05-29 18:03:06 0.9725 50 2
LINK 2025-05-29 17:58:39 0.9766 30 1
DOGE 2025-05-29 17:54:28 0.9671 40 2
SOL 2025-05-29 17:58:54 0.97 40 1
BRETT 2025-05-29 17:56:39 0.9674 -100 2
ARC 2025-05-29 17:55:15 0.9644 -56.67 3
AI16Z 2025-05-29 17:53:38 0.965 -100 1
PNUT 2025-05-29 17:53:10 0.962 -100 1

📌 Time Data

Start at Closed at Duration
29 May 2025
17:59:50
29 May 2025
18:45:00
45 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1822 0.1827 0.1813 1.8 0.1714
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 0.1822
  • Stop Loss: 0.1827
  • Take Profit: 0.1813

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1827 - 0.1822 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1822 - 0.1813 = 0.00090000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00090000000000001 / 0.0005 = 1.8

📌 Position Size

Amount Margin Quantity Leverage
2643 100 14510 26.43
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1822 = 2915.2

Donc, tu peux acheter 16000 avec un stoploss a 0.1827

Avec un position size USD de 2915.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00090000000000001 = 14.4

Si Take Profit atteint, tu gagneras 14.4$

Résumé

  • Taille de position 16000
  • Taille de position USD 2915.2
  • Perte potentielle 8
  • Gain potentiel 14.4
  • Risk-Reward Ratio 1.8

📌 Peformances

TP % Target TP $ Target
0.49 % 13 $
SL % Target SL $ Target
0.27 % 7.3 $
RR PNL PNL % Max Drawdown
1.8 13 $ 0.49 -0.016465422612515

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1812
            [stop_loss] => 0.1827
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.18095
            [stop_loss] => 0.1827
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 19:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1807
            [stop_loss] => 0.1827
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.18045
            [stop_loss] => 0.1827
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1802
            [stop_loss] => 0.1827
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.17995
            [stop_loss] => 0.1827
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 19:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1797
            [stop_loss] => 0.1827
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)