Trade

buy - LDO

Status
win
2025-06-10 01:36:52
1 hour
PNL
0.95
Entry: 0.8622
Last: 0.87040000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.4889
Prediction 1 Accuracy
Strong Trade
0.77
Prediction 2 Accuracy
2 0.43
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.003659989774
Details
  1. score: 2.19
  2. 1H
  3. ema9 - 0.869559
  4. ema21 - 0.855505
  5. ema50 - 0.836218
  6. ema100 - 0.81865
  7. price_ema9_diff - -0.00846299
  8. ema9_ema21_diff - 0.0164272
  9. ema21_ema50_diff - 0.0230649
  10. price_ema100_diff - 0.0531962
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.578332
  14. kc_percentage - 0.612887
  15. kc_width_percentage - 0.0583378
  16. volume_ema_diff - 0.599023
  17. ¸
  18. 15m
  19. ema9 - 0.872901
  20. ema21 - 0.874573
  21. ema50 - 0.865564
  22. ema100 - 0.850321
  23. price_ema9_diff - -0.0122598
  24. ema9_ema21_diff - -0.00191158
  25. ema21_ema50_diff - 0.0104076
  26. price_ema100_diff - 0.013969
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.39507
  30. kc_percentage - 0.0353061
  31. kc_width_percentage - 0.0311494
  32. volume_ema_diff - 0.147374
  33. ¸
  34. 5m
  35. ema9 - 0.869727
  36. ema21 - 0.873136
  37. ema50 - 0.87579
  38. ema100 - 0.874268
  39. price_ema9_diff - -0.00865476
  40. ema9_ema21_diff - -0.00390496
  41. ema21_ema50_diff - -0.00303004
  42. price_ema100_diff - -0.0138044
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.298747
  46. kc_percentage - -0.188783
  47. kc_width_percentage - 0.0181015
  48. volume_ema_diff - 0.0985225
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 109592
  53. 5m_price_ema100_diff: -0.00380699
  54. 5m_price: 109175
  55. 5m_correlation_with_coin: 0.564784
  56. btc_indicators
  57. 15m_ema100: 108332
  58. 15m_price_ema100_diff: 0.00815004
  59. 15m_price: 109215
  60. btc_indicators
  61. 1H_ema100: 106041
  62. 1H_price_ema100_diff: 0.0295539
  63. 1H_price: 109175
  64. ¸

Long Trade on LDO

The 10 Jun 2025 at 01:36:52

With 1457 LDO at 0.8622$ per unit.

Position size of 1256 $

Take profit at 0.8704 (0.95 %) and Stop Loss at 0.8567 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -50.91 %

Symbol Start at Seach Score Trade Score Trades Count
ENS 2025-06-10 01:36:18 0.9877 -100 1
ETH 2025-06-10 01:33:14 0.9823 -100 1
ONDO 2025-06-10 01:38:36 0.9809 -100 1
ETC 2025-06-10 01:38:09 0.9766 -100 3
OP 2025-06-10 01:36:29 0.9761 30 1
APT 2025-05-13 20:31:40 0.9751 40 1
ADA 2025-06-10 01:33:41 0.9743 -100 1
NEAR 2025-06-10 01:35:53 0.9733 30 1
AAVE 2025-06-03 16:32:56 0.9731 40 1
ALPACA 2025-03-30 10:13:33 0.9726 -100 1
TIA 2025-06-10 01:38:17 0.9709 -100 1

📌 Time Data

Start at Closed at Duration
10 Jun 2025
01:36:52
10 Jun 2025
02:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8622 0.8567 0.8704 1.5 0.7389
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 0.8622
  • Stop Loss: 0.8567
  • Take Profit: 0.8704

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8567 - 0.8622 = -0.0054999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8622 - 0.8704 = -0.0082

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0082 / -0.0054999999999999 = 1.4909

📌 Position Size

Amount Margin Quantity Leverage
1256 100 1457 12.56
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 -0.0054999999999999

Taille de position = 8 / -0.0054999999999999 = -1454.55

Taille de position USD = -1454.55 x 0.8622 = -1254.11

Donc, tu peux acheter -1454.55 avec un stoploss a 0.8567

Avec un position size USD de -1254.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1454.55 x -0.0054999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1454.55 x -0.0082 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position -1454.55
  • Taille de position USD -1254.11
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4909

📌 Peformances

TP % Target TP $ Target
0.95 % 12 $
SL % Target SL $ Target
0.64 % 8 $
PNL PNL %
12 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.174 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.8732
            [stop_loss] => 0.8567
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 05:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.87595
            [stop_loss] => 0.8567
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8787
            [stop_loss] => 0.8567
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.88145
            [stop_loss] => 0.8567
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.8842
            [stop_loss] => 0.8567
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 07:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.88695
            [stop_loss] => 0.8567
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8897
            [stop_loss] => 0.8567
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.89245
            [stop_loss] => 0.8567
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.8952
            [stop_loss] => 0.8567
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.89795
            [stop_loss] => 0.8567
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.9007
            [stop_loss] => 0.8567
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 07:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)