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Trade

buy - LDO

Status
win
2025-06-10 01:55:19
44 minutes
PNL
0.88
Entry: 0.8634
Last: 0.87100000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.4
Prediction 1 Accuracy
Strong Trade
0.71
Prediction 2 Accuracy
2 0.42
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.003364175454
Details
  1. score: 2
  2. 1H
  3. ema9 - 0.869799
  4. ema21 - 0.855614
  5. ema50 - 0.836265
  6. ema100 - 0.818674
  7. price_ema9_diff - -0.00735695
  8. ema9_ema21_diff - 0.0165781
  9. ema21_ema50_diff - 0.0231378
  10. price_ema100_diff - 0.0546314
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.586817
  14. kc_percentage - 0.634473
  15. kc_width_percentage - 0.0582567
  16. volume_ema_diff - 0.637424
    17. ¸
  17. 15m
  18. ema9 - 0.871829
  19. ema21 - 0.873956
  20. ema50 - 0.865634
  21. ema100 - 0.850508
  22. price_ema9_diff - -0.00966851
  23. ema9_ema21_diff - -0.00243429
  24. ema21_ema50_diff - 0.00961356
  25. price_ema100_diff - 0.0151572
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.413637
  29. kc_percentage - 0.0745863
  30. kc_width_percentage - 0.0289221
  31. volume_ema_diff - -0.0817742
    32. ¸
  32. 5m
  33. ema9 - 0.866669
  34. ema21 - 0.8705
  35. ema50 - 0.874295
  36. ema100 - 0.874393
  37. price_ema9_diff - -0.00377283
  38. ema9_ema21_diff - -0.00440085
  39. ema21_ema50_diff - -0.00434038
  40. price_ema100_diff - -0.0125731
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.334292
  44. kc_percentage - -0.0029007
  45. kc_width_percentage - 0.015809
  46. volume_ema_diff - -0.527753
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109622
  50. 5m_price_ema100_diff: -0.00367486
  51. 5m_price: 109219
  52. 5m_correlation_with_coin: 0.685415
  53. btc_indicators
  54. 15m_ema100: 108354
  55. 15m_price_ema100_diff: 0.00887527
  56. 15m_price: 109316
  57. btc_indicators
  58. 1H_ema100: 106041
  59. 1H_price_ema100_diff: 0.0299687
  60. 1H_price: 109219
    61. ¸

Long Trade on LDO

The 10 Jun 2025 at 01:55:19

With 1585 LDO at 0.8634$ per unit.

Position size of 1369 $

Take profit at 0.871 (0.88 %) and Stop Loss at 0.8584 (0.58 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14.38 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-06-10 01:47:29 0.9757 -35 2
ETC 2025-06-10 02:04:32 0.9759 -10 3
ENS 2025-06-10 02:11:55 0.9757 30 2
ETH 2025-06-10 02:06:36 0.9753 30 1
OP 2025-06-10 01:54:50 0.9743 30 1
ADA 2025-06-10 01:52:49 0.9739 -100 1
APT 2025-05-13 20:31:40 0.9723 40 1
ALPACA 2025-03-30 10:28:32 0.9718 -100 2

📌 Time Data

Start at Closed at Duration
10 Jun 2025
01:55:19		 10 Jun 2025
02:40:00		 44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8634 0.8584 0.871 1.5 0.718
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 0.8634
  • Stop Loss: 0.8584
  • Take Profit: 0.871

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8584 - 0.8634 = -0.0049999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8634 - 0.871 = -0.0076000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0076000000000001 / -0.0049999999999999 = 1.52

📌 Position Size

Amount Margin Quantity Leverage
1369 100 1585 13.69
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 -0.0049999999999999

Taille de position = 8 / -0.0049999999999999 = -1600

Taille de position USD = -1600 x 0.8634 = -1381.44

Donc, tu peux acheter -1600 avec un stoploss a 0.8584

Avec un position size USD de -1381.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.0049999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0076000000000001 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

  • Taille de position -1600
  • Taille de position USD -1381.44
  • Perte potentielle 8
  • Gain potentiel 12.16
  • Risk-Reward Ratio 1.52

📌 Peformances

TP % Target TP $ Target
0.88 % 12 $
SL % Target SL $ Target
0.58 % 7.9 $
PNL PNL %
12 $ 0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3127 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8734
            [stop_loss] => 0.8584
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 05:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8759
            [stop_loss] => 0.8584
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8784
            [stop_loss] => 0.8584
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8809
            [stop_loss] => 0.8584
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.8834
            [stop_loss] => 0.8584
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.8859
            [stop_loss] => 0.8584
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8884
            [stop_loss] => 0.8584
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.8909
            [stop_loss] => 0.8584
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.8934
            [stop_loss] => 0.8584
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.8959
            [stop_loss] => 0.8584
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.8984
            [stop_loss] => 0.8584
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)