Short Trade on XLM 19 Sep 2025 at 15:37:49

Take profit at 0.3889 (0.56 %) and Stop Loss at 0.3922 (0.28 %)

Short Trade on XLM

The 19 Sep 2025 at 15:37:49

With 7286.3475 XLM at 0.3911$ per unit.

Position size of 2849.399 $

Take profit at 0.3889 (0.56 %) and Stop Loss at 0.3922 (0.28 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 90
ML Pullback Score: 10
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.66
Prediction 3 Probability
0 0.75
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : bear_low

1H_regime : range_high

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.715619

15m : -0.142781

1H : -0.084951

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0007319625321
Details
  1. score: 1.16
  2. 1H
  3. ema9 : 0.389666
  4. ema21 : 0.391569
  5. ema50 : 0.39226
  6. ema100 : 0.389434
  7. price_ema9_diff : 0.00357651
  8. ema9_ema21_diff : -0.00486091
  9. ema21_ema50_diff : -0.00176023
  10. price_ema100_diff : 0.00417508
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0978358
  14. ema_slope_21 : -0.0926359
  15. ema_slope_50 : -0.0339324
  16. ema_slope_100 : 0.00165509
  17. rsi : 0.471643
  18. adx : 0.339778
  19. kc_percentage : 0.469124
  20. kc_width_percentage : 0.0315625
  21. volume_ema_diff : -0.354762
  22. volume_ema1 : 968229.97228621
  23. volume_ema2 : 1500579.0120397
  24. chop : 62.6459
  25. regime : range_high
  26. ¸
  27. 15m
  28. ema9 : 0.38919
  29. ema21 : 0.389048
  30. ema50 : 0.390301
  31. ema100 : 0.393053
  32. price_ema9_diff : 0.00480303
  33. ema9_ema21_diff : 0.00036569
  34. ema21_ema50_diff : -0.00321011
  35. price_ema100_diff : -0.00507147
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.00537633
  39. ema_slope_21 : -0.00646769
  40. ema_slope_50 : -0.0197779
  41. ema_slope_100 : -0.0246267
  42. rsi : 0.559666
  43. adx : 0.218117
  44. kc_percentage : 0.850458
  45. kc_width_percentage : 0.0147991
  46. volume_ema_diff : -0.498645
  47. volume_ema1 : 171686.28572795
  48. volume_ema2 : 342444.89396012
  49. chop : 64.1797
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 0.389847
  54. ema21 : 0.389164
  55. ema50 : 0.38883
  56. ema100 : 0.388926
  57. price_ema9_diff : 0.00311004
  58. ema9_ema21_diff : 0.00175427
  59. ema21_ema50_diff : 0.000859602
  60. price_ema100_diff : 0.00548451
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0377777
  64. ema_slope_21 : 0.0217254
  65. ema_slope_50 : 0.00855763
  66. ema_slope_100 : 0.00286663
  67. rsi : 0.703611
  68. adx : 0.251082
  69. kc_percentage : 1.16342
  70. kc_width_percentage : 0.00717831
  71. volume_ema_diff : -0.182879
  72. volume_ema1 : 73594.746510345
  73. volume_ema2 : 90065.978713489
  74. chop : 45.253
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    115789
  80. 5m_price_ema100_diff:
    -0.00432362
  81. 5m_price:
    115288
  82. 5m_correlation_with_coin:
    0.715619
  83. btc_indicators
  84. 15m_ema100:
    116483
  85. 15m_price_ema100_diff:
    -0.0108577
  86. 15m_price:
    115219
  87. 15m_correlation_with_coin:
    -0.142781
  88. btc_indicators
  89. 1H_ema100:
    116239
  90. 1H_price_ema100_diff:
    -0.00818048
  91. 1H_price:
    115288
  92. 1H_correlation_with_coin:
    -0.084951
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
19 Sep 2025
15:37:49
19 Sep 2025
15:45:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.3911 0.3922 0.3889 2 0.1643
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 0.3911
  • Stop Loss: 0.3922
  • Take Profit: 0.3889

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.3922 - 0.3911 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.3911 - 0.3889 = 0.0022

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0022 / 0.0011 = 2

📌 Position Size

Amount Margin Quantity Leverage
2849.399 100 7286.3475 28.49
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.3911 = 2844.36

Donc, tu peux acheter 7272.73 avec un stoploss a 0.3922

Avec un position size USD de 2844.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0022 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 2844.36
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.56 % 16.03 $
SL % Target SL $ Target
0.28 % 8.01 $
PNL PNL %
16.03 $ 0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.3889
            [stop_loss] => 0.3922
            [rr_ratio] => 2
            [closed_at] => 2025-09-19 15:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.38835
            [stop_loss] => 0.3922
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-19 15:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.3878
            [stop_loss] => 0.3922
            [rr_ratio] => 3
            [closed_at] => 2025-09-19 15:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.38725
            [stop_loss] => 0.3922
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-19 16:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.3867
            [stop_loss] => 0.3922
            [rr_ratio] => 4
            [closed_at] => 2025-09-19 19:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.38615
            [stop_loss] => 0.3922
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-19 19:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00437
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.39076000
            [low] => 0.38673000
            [mfe_pct] => 1.12
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-09-19T15:37:49-04:00
            [end_at] => 2025-09-19T17:37:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00631
            [max_drawdown] => 0.00026999999999999
            [rr_ratio] => 23.37
            [high] => 0.39137000
            [low] => 0.38479000
            [mfe_pct] => 1.61
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 23.37
            [candles_analyzed] => 84
            [start_at] => 2025-09-19T15:37:49-04:00
            [end_at] => 2025-09-19T22:37:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.39106000
            [high_after] => 0.39137000
            [low_before] => 0.38626000
            [low_after] => 0.38606000
            [is_new_high] => 
            [is_new_low] => 1
        )

)