Short Trade on XPL 02 Sep 2025 at 02:17:25

Take profit at 0.6246 (2.36 %) and Stop Loss at 0.6497 (1.56 %)

Short Trade on XPL

The 02 Sep 2025 at 02:17:25

With 796.3457 XPL at 0.6397$ per unit.

Position size of 509.4223 $

Take profit at 0.6246 (2.36 %) and Stop Loss at 0.6497 (1.56 %)

That's a 1.51 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 110
ML Pullback Score: 10
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.56
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium

rules_regime_5m : bull_low

BTC Correlation Score

5m : 0.162589

15m : 0.044207

1H : -0.067003

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0066972592
Details
  1. score: 1.05
  2. 1H
  3. ema9 : 0.622297
  4. ema21 : 0.648409
  5. ema50 : 0.698256
  6. ema100 : 0.729449
  7. price_ema9_diff : 0.0279655
  8. ema9_ema21_diff : -0.0402718
  9. ema21_ema50_diff : -0.071387
  10. price_ema100_diff : -0.123037
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.447918
  14. adx : 0.361523
  15. kc_percentage : 0.454268
  16. kc_width_percentage : 0.207973
  17. volume_ema_diff : -0.53861
  18. volume_ema1 : 1415339.9991665
  19. volume_ema2 : 3067557.8626589
  20. ¸
  21. 15m
  22. ema9 : 0.626799
  23. ema21 : 0.619829
  24. ema50 : 0.625149
  25. ema100 : 0.658103
  26. price_ema9_diff : 0.0205821
  27. ema9_ema21_diff : 0.0112438
  28. ema21_ema50_diff : -0.00850889
  29. price_ema100_diff : -0.0279644
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.608483
  33. adx : 0.114425
  34. kc_percentage : 0.877011
  35. kc_width_percentage : 0.0807639
  36. volume_ema_diff : -0.591668
  37. volume_ema1 : 270083.8619731
  38. volume_ema2 : 661432.93164875
  39. ¸
  40. 5m
  41. ema9 : 0.629865
  42. ema21 : 0.625214
  43. ema50 : 0.619461
  44. ema100 : 0.611566
  45. price_ema9_diff : 0.0156133
  46. ema9_ema21_diff : 0.00743871
  47. ema21_ema50_diff : 0.0092873
  48. price_ema100_diff : 0.0460028
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.664252
  52. adx : 0.177118
  53. kc_percentage : 1.05086
  54. kc_width_percentage : 0.0403642
  55. volume_ema_diff : -0.246725
  56. volume_ema1 : 107059.311369
  57. volume_ema2 : 142125.32305775
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    109505
  62. 5m_price_ema100_diff:
    0.00725015
  63. 5m_price:
    110299
  64. 5m_correlation_with_coin:
    0.162589
  65. btc_indicators
  66. 15m_ema100:
    109084
  67. 15m_price_ema100_diff:
    0.0111318
  68. 15m_price:
    110299
  69. 15m_correlation_with_coin:
    0.044207
  70. btc_indicators
  71. 1H_ema100:
    109267
  72. 1H_price_ema100_diff:
    0.00943692
  73. 1H_price:
    110299
  74. 1H_correlation_with_coin:
    -0.067003
  75. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
02 Sep 2025
02:17:25
02 Sep 2025
02:55:00
37 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6397 0.6497 0.6246 1.51 0.0872
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 0.6397
  • Stop Loss: 0.6497
  • Take Profit: 0.6246

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6497 - 0.6397 = 0.01

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6397 - 0.6246 = 0.0151

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0151 / 0.01 = 1.51

📌 Position Size

Amount Margin Quantity Leverage
509.4223 100 796.3457 5.09
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 0.01

Taille de position = 8 / 0.01 = 800

Taille de position USD = 800 x 0.6397 = 511.76

Donc, tu peux acheter 800 avec un stoploss a 0.6497

Avec un position size USD de 511.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 800 x 0.01 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 800 x 0.0151 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

  • Taille de position 800
  • Taille de position USD 511.76
  • Perte potentielle 8
  • Gain potentiel 12.08
  • Risk-Reward Ratio 1.51

📌 Peformances

TP % Target TP $ Target
2.36 % 12.02 $
SL % Target SL $ Target
1.56 % 7.96 $
PNL PNL %
12.02 $ 2.36
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9223 % 59 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6197
            [stop_loss] => 0.6497
            [rr_ratio] => 2
            [closed_at] => 2025-09-02 03:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6147
            [stop_loss] => 0.6497
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-02 03:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6097
            [stop_loss] => 0.6497
            [rr_ratio] => 3
            [closed_at] => 2025-09-02 03:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6047
            [stop_loss] => 0.6497
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-02 03:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.5997
            [stop_loss] => 0.6497
            [rr_ratio] => 4
            [closed_at] => 2025-09-02 03:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.5947
            [stop_loss] => 0.6497
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-02 03:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.5897
            [stop_loss] => 0.6497
            [rr_ratio] => 5
            [closed_at] => 2025-09-02 07:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.5847
            [stop_loss] => 0.6497
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-02 07:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.045
            [max_drawdown] => 0.0058999999999999
            [rr_ratio] => 7.63
            [high] => 0.64560000
            [low] => 0.59470000
            [mfe_pct] => 7.03
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 7.63
            [candles_analyzed] => 24
            [start_at] => 2025-09-02T02:17:25-04:00
            [end_at] => 2025-09-02T04:17:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0656
            [max_drawdown] => 0.0058999999999999
            [rr_ratio] => 11.12
            [high] => 0.64560000
            [low] => 0.57410000
            [mfe_pct] => 10.25
            [mae_pct] => 0.92
            [mfe_mae_ratio] => 11.12
            [candles_analyzed] => 84
            [start_at] => 2025-09-02T02:17:25-04:00
            [end_at] => 2025-09-02T09:17:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.64290000
            [high_after] => 0.64560000
            [low_before] => 0.59260000
            [low_after] => 0.57990000
            [is_new_high] => 
            [is_new_low] => 1
        )

)