Trade

buy - HBAR

Status
win
2025-07-17 16:10:29
19 minutes
PNL
1.50
Entry: 0.2467
Last: 0.25040000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.293
Prediction 1 Accuracy
Weak Trade
0.65
Prediction 2 Accuracy
0 0.45
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.13
  4. atr: 0.001635634612
Details
  1. score: 2.13
  2. 1H
  3. ema9 - 0.24826
  4. ema21 - 0.245428
  5. ema50 - 0.241674
  6. ema100 - 0.240261
  7. price_ema9_diff - -0.00640731
  8. ema9_ema21_diff - 0.0115393
  9. ema21_ema50_diff - 0.0155329
  10. price_ema100_diff - 0.026674
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.533473
  14. kc_percentage - 0.544201
  15. kc_width_percentage - 0.0942355
  16. volume_ema_diff - -0.235186
  17. volume_ema1 - 6654964.3982557
  18. volume_ema2 - 8701422.6540868
  19. ¸
  20. 15m
  21. ema9 - 0.25043
  22. ema21 - 0.249473
  23. ema50 - 0.247055
  24. ema100 - 0.244501
  25. price_ema9_diff - -0.0150148
  26. ema9_ema21_diff - 0.00383276
  27. ema21_ema50_diff - 0.0097885
  28. price_ema100_diff - 0.00886996
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.452102
  32. kc_percentage - 0.284453
  33. kc_width_percentage - 0.0544965
  34. volume_ema_diff - 0.179081
  35. volume_ema1 - 2600708.0201355
  36. volume_ema2 - 2205706.2400685
  37. ¸
  38. 5m
  39. ema9 - 0.249295
  40. ema21 - 0.25069
  41. ema50 - 0.250019
  42. ema100 - 0.249086
  43. price_ema9_diff - -0.0105297
  44. ema9_ema21_diff - -0.00556825
  45. ema21_ema50_diff - 0.00268643
  46. price_ema100_diff - -0.00970317
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.327962
  50. kc_percentage - -0.128945
  51. kc_width_percentage - 0.0257369
  52. volume_ema_diff - 0.0921312
  53. volume_ema1 - 811879.93395095
  54. volume_ema2 - 743390.44721422
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118814
  59. 5m_price_ema100_diff: -0.00306747
  60. 5m_price: 118450
  61. 5m_correlation_with_coin: 0.534392
  62. btc_indicators
  63. 15m_ema100: 118725
  64. 15m_price_ema100_diff: -0.00231833
  65. 15m_price: 118450
  66. btc_indicators
  67. 1H_ema100: 118605
  68. 1H_price_ema100_diff: -0.0013044
  69. 1H_price: 118450
  70. ¸

Long Trade on HBAR

The 17 Jul 2025 at 16:10:29

With 3261 HBAR at 0.2467$ per unit.

Position size of 804.3 $

Take profit at 0.2504 (1.5 %) and Stop Loss at 0.2442 (1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 4.63 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-07-17 16:06:37 0.9123 30 1
BNB 2025-05-08 13:55:14 0.9052 42 5
HYPE 2025-04-29 06:49:47 0.9053 30 1
LDO 2025-06-07 20:58:38 0.8992 45 2
HIFI 2025-04-30 15:19:27 0.9015 40 1
VIRTUAL 2025-04-23 11:13:24 0.9007 -100 1
PAXG 2025-04-18 03:31:15 0.8971 -100 1
FET 2025-07-16 04:15:30 0.8963 50 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
16:10:29
17 Jul 2025
16:30:00
19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2467 0.2442 0.2504 1.5 0.2754
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 0.2467
  • Stop Loss: 0.2442
  • Take Profit: 0.2504

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2442 - 0.2467 = -0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2467 - 0.2504 = -0.0037

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0037 / -0.0025 = 1.48

📌 Position Size

Amount Margin Quantity Leverage
804.3 100 3261 8.04
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 -0.0025

Taille de position = 8 / -0.0025 = -3200

Taille de position USD = -3200 x 0.2467 = -789.44

Donc, tu peux acheter -3200 avec un stoploss a 0.2442

Avec un position size USD de -789.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3200 x -0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3200 x -0.0037 = 11.84

Si Take Profit atteint, tu gagneras 11.84$

Résumé

  • Taille de position -3200
  • Taille de position USD -789.44
  • Perte potentielle 8
  • Gain potentiel 11.84
  • Risk-Reward Ratio 1.48

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
1 % 8.2 $
PNL PNL %
12 $ 1.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1176 % 11.6 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2517
            [stop_loss] => 0.2442
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.25295
            [stop_loss] => 0.2442
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 16:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2542
            [stop_loss] => 0.2442
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 16:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.25545
            [stop_loss] => 0.2442
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 17:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2567
            [stop_loss] => 0.2442
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 17:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.25795
            [stop_loss] => 0.2442
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 17:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2592
            [stop_loss] => 0.2442
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 17:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.26045
            [stop_loss] => 0.2442
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 17:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.2617
            [stop_loss] => 0.2442
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 17:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.26295
            [stop_loss] => 0.2442
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 17:30:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.2642
            [stop_loss] => 0.2442
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 17:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)