Short Trade on XPL 08 Sep 2025 at 17:54:32

Take profit at 0.6825 (1.04 %) and Stop Loss at 0.6933 (0.52 %)

Short Trade on XPL

The 08 Sep 2025 at 17:54:32

With 2208.7561 XPL at 0.6897$ per unit.

Position size of 1523.3791 $

Take profit at 0.6825 (1.04 %) and Stop Loss at 0.6933 (0.52 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.15
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.49
Prediction 3 Probability
1 0.81
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_low

BTC Correlation Score

5m : 0.256646

15m : -0.146395

1H : -0.211277

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.002414632071
Details
  1. score: 1.18
  2. 1H
  3. ema9 : 0.68772
  4. ema21 : 0.695563
  5. ema50 : 0.697264
  6. ema100 : 0.684823
  7. price_ema9_diff : 0.00287841
  8. ema9_ema21_diff : -0.011276
  9. ema21_ema50_diff : -0.00243927
  10. price_ema100_diff : 0.00712107
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.317294
  14. ema_slope_21 : -0.19614
  15. ema_slope_50 : -0.0603546
  16. ema_slope_100 : 0.0155529
  17. rsi : 0.456844
  18. adx : 0.183927
  19. kc_percentage : 0.409694
  20. kc_width_percentage : 0.0872559
  21. volume_ema_diff : -0.43645
  22. volume_ema1 : 378123.11521478
  23. volume_ema2 : 670966.58409632
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 0.683833
  28. ema21 : 0.684053
  29. ema50 : 0.690799
  30. ema100 : 0.696013
  31. price_ema9_diff : 0.00857834
  32. ema9_ema21_diff : -0.000321023
  33. ema21_ema50_diff : -0.00976536
  34. price_ema100_diff : -0.00907066
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0435454
  38. ema_slope_21 : -0.0366627
  39. ema_slope_50 : -0.0655542
  40. ema_slope_100 : -0.0464241
  41. rsi : 0.529559
  42. adx : 0.155214
  43. kc_percentage : 0.782533
  44. kc_width_percentage : 0.0299226
  45. volume_ema_diff : -0.639819
  46. volume_ema1 : 48921.507929668
  47. volume_ema2 : 135824.89294308
  48. regime : bear_high
  49. ¸
  50. 5m
  51. ema9 : 0.686012
  52. ema21 : 0.683665
  53. ema50 : 0.68274
  54. ema100 : 0.685958
  55. price_ema9_diff : 0.0053746
  56. ema9_ema21_diff : 0.00343292
  57. ema21_ema50_diff : 0.00135485
  58. price_ema100_diff : 0.00545469
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0426817
  62. ema_slope_21 : 0.0425037
  63. ema_slope_50 : 0.0158483
  64. ema_slope_100 : -0.00418742
  65. rsi : 0.674479
  66. adx : 0.18173
  67. kc_percentage : 1.17551
  68. kc_width_percentage : 0.0126456
  69. volume_ema_diff : -0.478602
  70. volume_ema1 : 15884.463611259
  71. volume_ema2 : 30465.147726299
  72. regime : bull_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112151
  77. 5m_price_ema100_diff:
    0.000537553
  78. 5m_price:
    112211
  79. 5m_correlation_with_coin:
    0.256646
  80. btc_indicators
  81. 15m_ema100:
    111817
  82. 15m_price_ema100_diff:
    0.00352815
  83. 15m_price:
    112211
  84. 15m_correlation_with_coin:
    -0.146395
  85. btc_indicators
  86. 1H_ema100:
    111084
  87. 1H_price_ema100_diff:
    0.0101474
  88. 1H_price:
    112211
  89. 1H_correlation_with_coin:
    -0.211277
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
08 Sep 2025
17:54:32
08 Sep 2025
18:30:00
35 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.6897 0.6933 0.6825 2 0.0974
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 0.6897
  • Stop Loss: 0.6933
  • Take Profit: 0.6825

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.6933 - 0.6897 = 0.0036

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.6897 - 0.6825 = 0.0072

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0072 / 0.0036 = 2

📌 Position Size

Amount Margin Quantity Leverage
1523.3791 100 2208.7561 15.23
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 0.0036

Taille de position = 8 / 0.0036 = 2222.22

Taille de position USD = 2222.22 x 0.6897 = 1532.67

Donc, tu peux acheter 2222.22 avec un stoploss a 0.6933

Avec un position size USD de 1532.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2222.22 x 0.0036 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2222.22 x 0.0072 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2222.22
  • Taille de position USD 1532.67
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.04 % 15.9 $
SL % Target SL $ Target
0.52 % 7.95 $
PNL PNL %
-7.95 $ -0.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.522 % 100 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.6825
            [entry_price] => 0.6897
            [stop_loss] => 0.69366
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-08 18:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.6825
            [entry_price] => 0.6897
            [stop_loss] => 0.69402
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-08 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.6825
            [entry_price] => 0.6897
            [stop_loss] => 0.69438
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-08 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.6825
            [entry_price] => 0.6897
            [stop_loss] => 0.6951
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-08 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0176
            [rr_ratio] => 0.13
            [high] => 0.70730000
            [low] => 0.68740000
            [mfe_pct] => 0.33
            [mae_pct] => 2.55
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 24
            [start_at] => 2025-09-08T17:54:32-04:00
            [end_at] => 2025-09-08T19:54:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.0347
            [rr_ratio] => 0.07
            [high] => 0.72440000
            [low] => 0.68740000
            [mfe_pct] => 0.33
            [mae_pct] => 5.03
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 84
            [start_at] => 2025-09-08T17:54:32-04:00
            [end_at] => 2025-09-09T00:54:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.69090000
            [high_after] => 0.72440000
            [low_before] => 0.66780000
            [low_after] => 0.68740000
            [is_new_high] => 
            [is_new_low] => 
        )

)