Long Trade on LDO 15 Jul 2025 at 15:49:40

Take profit at 0.8713 (1.55 %) and Stop Loss at 0.8491 (1.04 %)

Long Trade on LDO

The 15 Jul 2025 at 15:49:40

With 903.8417 LDO at 0.858$ per unit.

Position size of 775.4962 $

Take profit at 0.8713 (1.55 %) and Stop Loss at 0.8491 (1.04 %)

That's a 1.49 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: 0.2077
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.54
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.761215

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.005900738111
Details
  1. score: 2.18
  2. 1H
  3. ema9 : 0.862791
  4. ema21 : 0.857476
  5. ema50 : 0.853735
  6. ema100 : 0.850998
  7. price_ema9_diff : -0.00555351
  8. ema9_ema21_diff : 0.00619869
  9. ema21_ema50_diff : 0.00438196
  10. price_ema100_diff : 0.00822764
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.504522
  14. kc_percentage : 0.503898
  15. kc_width_percentage : 0.101405
  16. volume_ema_diff : 0.450026
  17. volume_ema1 : 1048553.4557368
  18. volume_ema2 : 723126.92857483
  19. ¸
  20. 15m
  21. ema9 : 0.871
  22. ema21 : 0.868618
  23. ema50 : 0.860234
  24. ema100 : 0.855407
  25. price_ema9_diff : -0.0149262
  26. ema9_ema21_diff : 0.00274235
  27. ema21_ema50_diff : 0.00974603
  28. price_ema100_diff : 0.00303116
  29. all_emas_in_trend : True
  30. all_emas_and_price_in_trend : False
  31. rsi : 0.44886
  32. kc_percentage : 0.234336
  33. kc_width_percentage : 0.0482364
  34. volume_ema_diff : 0.0439148
  35. volume_ema1 : 252411.27864918
  36. volume_ema2 : 241792.9779839
  37. ¸
  38. 5m
  39. ema9 : 0.869912
  40. ema21 : 0.874418
  41. ema50 : 0.871997
  42. ema100 : 0.863787
  43. price_ema9_diff : -0.0136944
  44. ema9_ema21_diff : -0.00515283
  45. ema21_ema50_diff : 0.00277623
  46. price_ema100_diff : -0.00669987
  47. all_emas_in_trend : False
  48. all_emas_and_price_in_trend : False
  49. rsi : 0.306043
  50. kc_percentage : -0.181615
  51. kc_width_percentage : 0.0278451
  52. volume_ema_diff : 0.697366
  53. volume_ema1 : 161917.49587234
  54. volume_ema2 : 95393.381629641
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100:
    116932
  59. 5m_price_ema100_diff:
    -0.00524248
  60. 5m_price:
    116319
  61. 5m_correlation_with_coin:
    0.761215
  62. btc_indicators
  63. 15m_ema100:
    117693
  64. 15m_price_ema100_diff:
    -0.0116711
  65. 15m_price:
    116319
  66. btc_indicators
  67. 1H_ema100:
    118349
  68. 1H_price_ema100_diff:
    -0.0171507
  69. 1H_price:
    116319
  70. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
15 Jul 2025
15:49:40
15 Jul 2025
17:10:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.858 0.8491 0.8713 1.49 0.3024
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 0.858
  • Stop Loss: 0.8491
  • Take Profit: 0.8713

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8491 - 0.858 = -0.0089

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.858 - 0.8713 = -0.0133

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0133 / -0.0089 = 1.4944

📌 Position Size

Amount Margin Quantity Leverage
775.4962 100 903.8417 7.75
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 -0.0089

Taille de position = 8 / -0.0089 = -898.88

Taille de position USD = -898.88 x 0.858 = -771.24

Donc, tu peux acheter -898.88 avec un stoploss a 0.8491

Avec un position size USD de -771.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -898.88 x -0.0089 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -898.88 x -0.0133 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

  • Taille de position -898.88
  • Taille de position USD -771.24
  • Perte potentielle 8
  • Gain potentiel 11.96
  • Risk-Reward Ratio 1.4944

📌 Peformances

TP % Target TP $ Target
1.55 % 12.02 $
SL % Target SL $ Target
1.04 % 8.04 $
PNL PNL %
12.02 $ 1.55
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1166 % 11.24 % 2

📌 ML Extra Data

Extra TP Data

                              Array
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    [2] => Array
        (
            [take_profit] => 0.8758
            [stop_loss] => 0.8491
            [rr_ratio] => 2
            [closed_at] => 2025-07-15 17:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.88025
            [stop_loss] => 0.8491
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-15 17:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8847
            [stop_loss] => 0.8491
            [rr_ratio] => 3
            [closed_at] => 2025-07-15 19:00:00
            [result] => win
        )

    [3.5] => Array
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            [take_profit] => 0.88915
            [stop_loss] => 0.8491
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-15 19:00:00
            [result] => win
        )

    [4] => Array
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            [take_profit] => 0.8936
            [stop_loss] => 0.8491
            [rr_ratio] => 4
            [closed_at] => 2025-07-15 19:00:00
            [result] => win
        )

    [4.5] => Array
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            [take_profit] => 0.89805
            [stop_loss] => 0.8491
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-15 19:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.9025
            [stop_loss] => 0.8491
            [rr_ratio] => 5
            [closed_at] => 2025-07-15 19:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.90695
            [stop_loss] => 0.8491
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-15 19:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.9114
            [stop_loss] => 0.8491
            [rr_ratio] => 6
            [closed_at] => 2025-07-15 20:35:00
            [result] => win
        )

    [6.5] => Array
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            [take_profit] => 0.91585
            [stop_loss] => 0.8491
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-15 20:50:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0229
            [max_drawdown] => 0.001
            [rr_ratio] => 22.9
            [high] => 0.88090000
            [low] => 0.85700000
            [mfe_pct] => 2.67
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 22.9
            [candles_analyzed] => 24
            [start_at] => 2025-07-15T15:49:40-04:00
            [end_at] => 2025-07-15T17:49:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0608
            [max_drawdown] => 0.001
            [rr_ratio] => 60.8
            [high] => 0.91880000
            [low] => 0.85700000
            [mfe_pct] => 7.09
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 60.8
            [candles_analyzed] => 72
            [start_at] => 2025-07-15T15:49:40-04:00
            [end_at] => 2025-07-15T21:49:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.89520000
            [high_after] => 0.91880000
            [low_before] => 0.85640000
            [low_after] => 0.85700000
            [is_new_high] => 1
            [is_new_low] => 
        )

)