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Long Trade on LTC

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Long Trade on LTC 17 Jul 2025 at 16:06:13

Take profit at 101.1884 (1 %) and Stop Loss at 99.5244 (0.66 %)

Long Trade on LTC

The 17 Jul 2025 at 16:06:13

With 12.0192 LTC at 100.19$ per unit.

Position size of 1204.2058 $

Take profit at 101.1884 (1 %) and Stop Loss at 99.5244 (0.66 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 130
ML Pullback Score: 10
Prediction Score: -0.4045
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.72
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.684798

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.17
  4. atr: 0.4437336703
Details
  1. score: 2.17
  2. 1H
  3. ema9 : 100.705
  4. ema21 : 99.8134
  5. ema50 : 98.3296
  6. ema100 : 97.2515
  7. price_ema9_diff : -0.00511703
  8. ema9_ema21_diff : 0.00893565
  9. ema21_ema50_diff : 0.01509
  10. price_ema100_diff : 0.0302144
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.549004
  14. kc_percentage : 0.550758
  15. kc_width_percentage : 0.0603344
  16. volume_ema_diff : -0.10662
  17. volume_ema1 : 2497041.0688459
  18. volume_ema2 : 2795050.4442048
    19. ¸
  19. 15m
  20. ema9 : 101.247
  21. ema21 : 101.123
  22. ema50 : 100.421
  23. ema100 : 99.7039
  24. price_ema9_diff : -0.010441
  25. ema9_ema21_diff : 0.00122512
  26. ema21_ema50_diff : 0.00698891
  27. price_ema100_diff : 0.00487482
  28. all_emas_in_trend : True
  29. all_emas_and_price_in_trend : False
  30. rsi : 0.43149
  31. kc_percentage : 0.209631
  32. kc_width_percentage : 0.032807
  33. volume_ema_diff : 0.0957033
  34. volume_ema1 : 867879.76833418
  35. volume_ema2 : 792075.5024606
    36. ¸
  36. 5m
  37. ema9 : 101.14
  38. ema21 : 101.399
  39. ema50 : 101.296
  40. ema100 : 100.976
  41. price_ema9_diff : -0.00939572
  42. ema9_ema21_diff : -0.00256026
  43. ema21_ema50_diff : 0.00102004
  44. price_ema100_diff : -0.00778954
  45. all_emas_in_trend : False
  46. all_emas_and_price_in_trend : False
  47. rsi : 0.314171
  48. kc_percentage : -0.172714
  49. kc_width_percentage : 0.0178743
  50. volume_ema_diff : 0.407635
  51. volume_ema1 : 392509.4693153
  52. volume_ema2 : 278843.16298809
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 
    118835
  56. 5m_price_ema100_diff: 
    -0.00271801
  57. 5m_price: 
    118512
  58. 5m_correlation_with_coin: 
    0.684798
  59. btc_indicators
  60. 15m_ema100: 
    118726
  61. 15m_price_ema100_diff: 
    -0.00180396
  62. 15m_price: 
    118512
  63. btc_indicators
  64. 1H_ema100: 
    118606
  65. 1H_price_ema100_diff: 
    -0.000789529
  66. 1H_price: 
    118512
    67. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Jul 2025
16:06:13		 17 Jul 2025
16:35:00		 28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
100.19 99.5244 101.1884 1.5 53.99
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 100.19
  • Stop Loss: 99.5244
  • Take Profit: 101.1884

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 99.5244 - 100.19 = -0.6656

  • Récompense (distance jusqu'au take profit):

    E - TP = 100.19 - 101.1884 = -0.9984

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.9984 / -0.6656 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1204.2058 100 12.0192 12.04
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 -0.6656

Taille de position = 8 / -0.6656 = -12.02

Taille de position USD = -12.02 x 100.19 = -1204.28

Donc, tu peux acheter -12.02 avec un stoploss a 99.5244

Avec un position size USD de -1204.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -12.02 x -0.6656 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -12.02 x -0.9984 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -12.02
  • Taille de position USD -1204.28
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.66 % 8 $
PNL PNL %
12.02 $ 1.00
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3194 % 47.07 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 101.56
            [stop_loss] => 99.52
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 101.9
            [stop_loss] => 99.52
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 17:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 102.24
            [stop_loss] => 99.52
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 17:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 102.58
            [stop_loss] => 99.52
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 17:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 102.92
            [stop_loss] => 99.52
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 18:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 103.26
            [stop_loss] => 99.52
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 18:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 103.6
            [stop_loss] => 99.52
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 18:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 103.94
            [stop_loss] => 99.52
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 21:20:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 104.28
            [stop_loss] => 99.52
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 21:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 104.62
            [stop_loss] => 99.52
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 21:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.5
            [max_drawdown] => 0.31
            [rr_ratio] => 8.06
            [high] => 102.69000000
            [low] => 99.88000000
            [mfe_pct] => 2.5
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 8.06
            [candles_analyzed] => 24
            [start_at] => 2025-07-17T16:06:13-04:00
            [end_at] => 2025-07-17T18:06:13-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 4.63
            [max_drawdown] => 0.31
            [rr_ratio] => 14.94
            [high] => 104.82000000
            [low] => 99.88000000
            [mfe_pct] => 4.62
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 14.94
            [candles_analyzed] => 72
            [start_at] => 2025-07-17T16:06:13-04:00
            [end_at] => 2025-07-17T22:06:13-04:00
        )

    [breakout] => Array
        (
            [high_before] => 102.47000000
            [high_after] => 104.82000000
            [low_before] => 99.89000000
            [low_after] => 99.88000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)