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Trade

sell - HBAR

Status
win
2025-05-28 13:19:31
5 minutes
PNL
0.65
Entry: 0.1855
Last: 0.18430000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.54
Prediction 2 Accuracy
0 0.53
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: 0.0005502204493
Details
  1. score: 1.09
  2. 1H: ema9 - 0.185097
  3. 1H: ema21 - 0.186006
  4. 1H: ema50 - 0.186842
  5. 1H: ema100 - 0.187525
  6. 1H: price_ema9_diff - 0.00222655
  7. 1H: ema9_ema21_diff - -0.00488273
  8. 1H: ema21_ema50_diff - -0.00447847
  9. 1H: price_ema100_diff - -0.0107461
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.473724
  13. 1H: kc_percentage - 0.448067
  14. 1H: kc_width_percentage - 0.0457231
    15. ¸
  15. 15m: ema9 - 0.184396
  16. 15m: ema21 - 0.184776
  17. 15m: ema50 - 0.18566
  18. 15m: ema100 - 0.186767
  19. 15m: price_ema9_diff - 0.00603716
  20. 15m: ema9_ema21_diff - -0.00205766
  21. 15m: ema21_ema50_diff - -0.00475899
  22. 15m: price_ema100_diff - -0.00673429
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.535938
  26. 15m: kc_percentage - 0.687089
  27. 15m: kc_width_percentage - 0.0221952
    28. ¸
  28. 5m: ema9 - 0.184617
  29. 5m: ema21 - 0.184234
  30. 5m: ema50 - 0.184542
  31. 5m: ema100 - 0.185138
  32. 5m: price_ema9_diff - 0.00483403
  33. 5m: ema9_ema21_diff - 0.00207818
  34. 5m: ema21_ema50_diff - -0.00166566
  35. 5m: price_ema100_diff - 0.00200494
  36. 5m: all_emas_in_trend - False
  37. 5m: all_emas_and_price_in_trend - False
  38. 5m: rsi - 0.645979
  39. 5m: kc_percentage - 1.09277
  40. 5m: kc_width_percentage - 0.0115184
    41. ¸

Short Trade on HBAR

The 28 May 2025 at 13:19:31

With 1798 HBAR at 0.1855$ per unit.

Take profit at 0.1843 (0.65 %) and Stop Loss at 0.1863 (0.43 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 42.73 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-05-28 13:16:07 0.9526 40 1
APT 2025-05-28 13:11:37 0.9071 35 2
JASMY 2025-05-28 13:19:20 0.9324 50 1
SOL 2025-05-28 13:18:43 0.902 40 1
GOAT 2025-05-28 13:09:33 0.8745 40 1
TURBO 2025-05-28 13:17:52 0.8691 55 2
PNUT 2025-05-28 13:17:17 0.8676 40 1
ADA 2025-05-28 13:18:27 0.8631 40 1
TAO 2025-05-28 13:12:43 0.8502 40 2
CRV 2025-05-28 13:19:00 0.844 40 1
GRIFFAIN 2025-05-23 11:02:05 0.8419 50 1

📌 Time Data

Start at Closed at Duration
28 May 2025
13:19:31		 28 May 2025
13:25:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1855 0.1863 0.1843 1.5 0.1643
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 0.1855
  • Stop Loss: 0.1863
  • Take Profit: 0.1843

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1863 - 0.1855 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1855 - 0.1843 = 0.0012

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0012 / 0.0008 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1798 100 9693 17.98
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.1855 = 1855

Donc, tu peux acheter 10000 avec un stoploss a 0.1863

Avec un position size USD de 1855$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0012 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 10000
  • Taille de position USD 1855
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.65 % 12 $
SL % Target SL $ Target
0.43 % 7.8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.65 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1839
            [stop_loss] => 0.1863
            [rr_ratio] => 2
            [closed_at] => 2025-05-28 13:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1835
            [stop_loss] => 0.1863
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-28 13:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1831
            [stop_loss] => 0.1863
            [rr_ratio] => 3
            [closed_at] => 2025-05-28 14:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1827
            [stop_loss] => 0.1863
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-28 14:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1823
            [stop_loss] => 0.1863
            [rr_ratio] => 4
            [closed_at] => 2025-05-28 15:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1819
            [stop_loss] => 0.1863
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-28 15:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1815
            [stop_loss] => 0.1863
            [rr_ratio] => 5
            [closed_at] => 2025-05-28 15:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)