Trade

sell - HBAR

Status
loss
2025-05-31 09:14:30
1 hour
PNL
-0.61
Entry: 0.1652
Last: 0.16620000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 1.37
Prediction 1 Accuracy
Strong Trade
0.65
Prediction 2 Accuracy
1 0.59
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.0006467218004
Details
  1. score: 1.13
  2. 1H
  3. ema9 - 0.163791
  4. ema21 - 0.166117
  5. ema50 - 0.171707
  6. ema100 - 0.177086
  7. price_ema9_diff - 0.00853643
  8. ema9_ema21_diff - -0.0139981
  9. ema21_ema50_diff - -0.0325581
  10. price_ema100_diff - -0.0671776
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.427501
  14. kc_percentage - 0.433069
  15. kc_width_percentage - 0.0635838
  16. ¸
  17. 15m
  18. ema9 - 0.163297
  19. ema21 - 0.16299
  20. ema50 - 0.163997
  21. ema100 - 0.166462
  22. price_ema9_diff - 0.0115903
  23. ema9_ema21_diff - 0.00188519
  24. ema21_ema50_diff - -0.00614337
  25. price_ema100_diff - -0.00764323
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.620353
  29. kc_percentage - 0.982999
  30. kc_width_percentage - 0.0276274
  31. ¸
  32. 5m
  33. ema9 - 0.164345
  34. ema21 - 0.16342
  35. ema50 - 0.162939
  36. ema100 - 0.163052
  37. price_ema9_diff - 0.00513554
  38. ema9_ema21_diff - 0.00566374
  39. ema21_ema50_diff - 0.00294996
  40. price_ema100_diff - 0.0131117
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.68202
  44. kc_percentage - 1.13123
  45. kc_width_percentage - 0.0165247
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 103639
  50. 5m_price_ema100_diff: 0.0041234
  51. 5m_price: 104066
  52. 5m_correlation_with_coin: 0.740502
  53. btc_indicators
  54. 15m_ema100: 104088
  55. 15m_price_ema100_diff: -0.000213662
  56. 15m_price: 104066
  57. btc_indicators
  58. 1H_ema100: 106266
  59. 1H_price_ema100_diff: -0.0206969
  60. 1H_price: 104066
  61. ¸

Short Trade on HBAR

The 31 May 2025 at 09:14:30

With 8247 HBAR at 0.1652$ per unit.

Position size of 1362 $

Take profit at 0.1637 (0.91 %) and Stop Loss at 0.1662 (0.61 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-05-31 09:13:07 0.9834 30 1
ADA 2025-05-31 09:12:55 0.973 -100 1
SHIB 2025-05-31 09:13:36 0.9724 -100 1
APE 2025-05-31 09:14:02 0.9714 30 1
APT 2025-05-31 09:14:10 0.9703 30 1
SOL 2025-05-31 09:13:15 0.9697 30 1
GRIFFAIN 2025-05-31 09:12:34 0.9633 -35 2
PEPE 2025-05-31 09:09:11 0.9624 35 2
HUMA 2025-05-31 09:13:49 0.9625 -100 2
SEI 2025-05-31 09:15:25 0.9591 40 1

📌 Time Data

Start at Closed at Duration
31 May 2025
09:14:30
31 May 2025
10:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1652 0.1662 0.1637 1.5 0.2684
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 0.1652
  • Stop Loss: 0.1662
  • Take Profit: 0.1637

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1662 - 0.1652 = 0.00099999999999997

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1652 - 0.1637 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.00099999999999997 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1362 100 8247 13.62
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 0.00099999999999997

Taille de position = 8 / 0.00099999999999997 = 8000

Taille de position USD = 8000 x 0.1652 = 1321.6

Donc, tu peux acheter 8000 avec un stoploss a 0.1662

Avec un position size USD de 1321.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.00099999999999997 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8000
  • Taille de position USD 1321.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.91 % 12 $
SL % Target SL $ Target
0.61 % 8.2 $
PNL PNL %
-8.2 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.61138014527844 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1637
            [entry_price] => 0.1652
            [stop_loss] => 0.1663
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-31 10:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1637
            [entry_price] => 0.1652
            [stop_loss] => 0.1664
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-31 10:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1637
            [entry_price] => 0.1652
            [stop_loss] => 0.1665
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-31 10:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1637
            [entry_price] => 0.1652
            [stop_loss] => 0.1667
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-31 11:00:00
            [result] => loss
        )

)