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Long Trade on XLM

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Long Trade on XLM 08 Jun 2025 at 16:31:42

Take profit at 0.2698 (0.26 %) and Stop Loss at 0.2686 (0.19 %)

Long Trade on XLM

The 08 Jun 2025 at 16:31:42

With 15879.5828 XLM at 0.2691$ per unit.

Position size of 4272.8781 $

Take profit at 0.2698 (0.26 %) and Stop Loss at 0.2686 (0.19 %)

That's a 1.4 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 30
ML Pullback Score: 0.51
Prediction Score: -0.1848
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.62
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.099184

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0003358610485
Details
  1. score: 2.02
  2. 1H
  3. ema9 : 0.269451
  4. ema21 : 0.268184
  5. ema50 : 0.266533
  6. ema100 : 0.265993
  7. price_ema9_diff : -0.0013779
  8. ema9_ema21_diff : 0.00472236
  9. ema21_ema50_diff : 0.00619687
  10. price_ema100_diff : 0.0116036
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.574091
  14. kc_percentage : 0.613094
  15. kc_width_percentage : 0.0264198
    16. ¸
  16. 15m
  17. ema9 : 0.269669
  18. ema21 : 0.269869
  19. ema50 : 0.269077
  20. ema100 : 0.267807
  21. price_ema9_diff : -0.00218524
  22. ema9_ema21_diff : -0.000741237
  23. ema21_ema50_diff : 0.00294336
  24. price_ema100_diff : 0.00475163
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.433106
  28. kc_percentage : 0.212183
  29. kc_width_percentage : 0.0102737
    30. ¸
  30. 5m
  31. ema9 : 0.269495
  32. ema21 : 0.269772
  33. ema50 : 0.270068
  34. ema100 : 0.270187
  35. price_ema9_diff : -0.0015429
  36. ema9_ema21_diff : -0.00102727
  37. ema21_ema50_diff : -0.00109281
  38. price_ema100_diff : -0.00409979
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.317068
  42. kc_percentage : -0.0176418
  43. kc_width_percentage : 0.00485472
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    106031
  47. 5m_price_ema100_diff: 
    0.00205319
  48. 5m_price: 
    106249
  49. 5m_correlation_with_coin: 
    0.099184
  50. btc_indicators
  51. 15m_ema100: 
    105767
  52. 15m_price_ema100_diff: 
    0.00455982
  53. 15m_price: 
    106249
  54. btc_indicators
  55. 1H_ema100: 
    104968
  56. 1H_price_ema100_diff: 
    0.0122039
  57. 1H_price: 
    106249
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Jun 2025
16:31:42		 08 Jun 2025
16:45:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2691 0.2686 0.2698 1.4 0.1622
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 0.2691
  • Stop Loss: 0.2686
  • Take Profit: 0.2698

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2686 - 0.2691 = -0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2691 - 0.2698 = -0.00069999999999998

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00069999999999998 / -0.0005 = 1.4

📌 Position Size

Amount Margin Quantity Leverage
4272.8781 100 15879.5828 42.73
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 -0.0005

Taille de position = 8 / -0.0005 = -16000

Taille de position USD = -16000 x 0.2691 = -4305.6

Donc, tu peux acheter -16000 avec un stoploss a 0.2686

Avec un position size USD de -4305.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -16000 x -0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -16000 x -0.00069999999999998 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

  • Taille de position -16000
  • Taille de position USD -4305.6
  • Perte potentielle 8
  • Gain potentiel 11.2
  • Risk-Reward Ratio 1.4

📌 Peformances

TP % Target TP $ Target
0.26 % 11.12 $
SL % Target SL $ Target
0.19 % 7.94 $
PNL PNL %
11.11 $ 0.26
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1338 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2701
            [stop_loss] => 0.2686
            [rr_ratio] => 2
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.27035
            [stop_loss] => 0.2686
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2706
            [stop_loss] => 0.2686
            [rr_ratio] => 3
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.27085
            [stop_loss] => 0.2686
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2711
            [stop_loss] => 0.2686
            [rr_ratio] => 4
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.27135
            [stop_loss] => 0.2686
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2716
            [stop_loss] => 0.2686
            [rr_ratio] => 5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.27185
            [stop_loss] => 0.2686
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2721
            [stop_loss] => 0.2686
            [rr_ratio] => 6
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.27235
            [stop_loss] => 0.2686
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2726
            [stop_loss] => 0.2686
            [rr_ratio] => 7
            [closed_at] => 2025-06-08 17:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.00169
            [rr_ratio] => 0.46
            [high] => 0.26988000
            [low] => 0.26741000
            [mfe_pct] => 0.29
            [mae_pct] => 0.63
            [mfe_mae_ratio] => 0.46
            [candles_analyzed] => 24
            [start_at] => 2025-06-08T16:31:42-04:00
            [end_at] => 2025-06-08T18:31:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.00334
            [rr_ratio] => 0.23
            [high] => 0.26988000
            [low] => 0.26576000
            [mfe_pct] => 0.29
            [mae_pct] => 1.24
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 72
            [start_at] => 2025-06-08T16:31:42-04:00
            [end_at] => 2025-06-08T22:31:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27120000
            [high_after] => 0.26988000
            [low_before] => 0.26885000
            [low_after] => 0.26576000
            [is_new_high] => 
            [is_new_low] => 
        )

)