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Long Trade on LTC

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Long Trade on LTC 09 Jul 2025 at 04:59:21

Take profit at 88.0167 (0.34 %) and Stop Loss at 87.5222 (0.23 %)

Long Trade on LTC

The 09 Jul 2025 at 04:59:21

With 40.4471 LTC at 87.72$ per unit.

Position size of 3548.018 $

Take profit at 88.0167 (0.34 %) and Stop Loss at 87.5222 (0.23 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 8.4
Prediction Score: -0.355
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.57
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.669252

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.1318595356
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 87.7632
  4. ema21 : 87.4205
  5. ema50 : 87.0801
  6. ema100 : 86.9448
  7. price_ema9_diff : -0.000492345
  8. ema9_ema21_diff : 0.00391919
  9. ema21_ema50_diff : 0.00390926
  10. price_ema100_diff : 0.00891588
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.573184
  14. kc_percentage : 0.642632
  15. kc_width_percentage : 0.0220259
  16. volume_ema_diff : 0.505242
  17. volume_ema1 : 1570098.211174
  18. volume_ema2 : 1043086.4890222
    19. ¸
  19. 15m
  20. ema9 : 88.076
  21. ema21 : 87.9449
  22. ema50 : 87.6802
  23. ema100 : 87.3742
  24. price_ema9_diff : -0.00404269
  25. ema9_ema21_diff : 0.00149106
  26. ema21_ema50_diff : 0.00301867
  27. price_ema100_diff : 0.00395711
  28. all_emas_in_trend : True
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.547626
  31. kc_percentage : 0.231542
  32. kc_width_percentage : 0.01
  33. volume_ema_diff : 0.770894
  34. volume_ema1 : 530829.18367325
  35. volume_ema2 : 299751.99007246
    36. ¸
  36. 5m
  37. ema9 : 87.9908
  38. ema21 : 88.0397
  39. ema50 : 87.9617
  40. ema100 : 87.8181
  41. price_ema9_diff : -0.00307843
  42. ema9_ema21_diff : -0.000554965
  43. ema21_ema50_diff : 0.000886624
  44. price_ema100_diff : -0.00111713
  45. all_emas_in_trend : False
  46. all_emas_and_price_in_trend : False
  47. rsi : 0.360561
  48. kc_percentage : -0.0763707
  49. kc_width_percentage : 0.00632814
  50. volume_ema_diff : 0.608302
  51. volume_ema1 : 219422.78114995
  52. volume_ema2 : 136431.28869897
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    108674
  56. 5m_price_ema100_diff: 
    -0.0005082
  57. 5m_price: 
    108619
  58. 5m_correlation_with_coin: 
    0.669252
  59. btc_indicators
  60. 15m_ema100: 
    108634
  61. 15m_price_ema100_diff: 
    0.000324217
  62. 15m_price: 
    108669
  63. btc_indicators
  64. 1H_ema100: 
    108426
  65. 1H_price_ema100_diff: 
    0.00178285
  66. 1H_price: 
    108619
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Jul 2025
04:59:21		 09 Jul 2025
06:50:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
87.72 87.5222 88.0167 1.5 55.99
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 87.72
  • Stop Loss: 87.5222
  • Take Profit: 88.0167

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 87.5222 - 87.72 = -0.1978

  • Récompense (distance jusqu'au take profit):

    E - TP = 87.72 - 88.0167 = -0.2967

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.2967 / -0.1978 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3548.018 100 40.4471 35.48
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 -0.1978

Taille de position = 8 / -0.1978 = -40.44

Taille de position USD = -40.44 x 87.72 = -3547.4

Donc, tu peux acheter -40.44 avec un stoploss a 87.5222

Avec un position size USD de -3547.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40.44 x -0.1978 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40.44 x -0.2967 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -40.44
  • Taille de position USD -3547.4
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.34 % 12 $
SL % Target SL $ Target
0.23 % 8 $
PNL PNL %
12.13 $ 0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1254 % 55 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 88.12
            [stop_loss] => 87.52
            [rr_ratio] => 2
            [closed_at] => 2025-07-09 07:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 88.22
            [stop_loss] => 87.52
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-09 07:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 88.32
            [stop_loss] => 87.52
            [rr_ratio] => 3
            [closed_at] => 2025-07-09 07:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 88.42
            [stop_loss] => 87.52
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-09 07:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 88.52
            [stop_loss] => 87.52
            [rr_ratio] => 4
            [closed_at] => 2025-07-09 08:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 88.62
            [stop_loss] => 87.52
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-09 08:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 88.72
            [stop_loss] => 87.52
            [rr_ratio] => 5
            [closed_at] => 2025-07-09 08:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 88.82
            [stop_loss] => 87.52
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-09 08:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 88.92
            [stop_loss] => 87.52
            [rr_ratio] => 6
            [closed_at] => 2025-07-09 09:00:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 89.02
            [stop_loss] => 87.52
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-09 09:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.33
            [max_drawdown] => 0.11
            [rr_ratio] => 3
            [high] => 88.05000000
            [low] => 87.61000000
            [mfe_pct] => 0.38
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-07-09T04:59:21-04:00
            [end_at] => 2025-07-09T06:59:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.38
            [max_drawdown] => 0.11
            [rr_ratio] => 12.55
            [high] => 89.10000000
            [low] => 87.61000000
            [mfe_pct] => 1.57
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 12.55
            [candles_analyzed] => 72
            [start_at] => 2025-07-09T04:59:21-04:00
            [end_at] => 2025-07-09T10:59:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 88.33000000
            [high_after] => 89.10000000
            [low_before] => 87.61000000
            [low_after] => 87.61000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)