Short Trade on SPK 10 Sep 2025 at 09:00:31

Take profit at 0.06411 (0.87 %) and Stop Loss at 0.06495 (0.43 %)

Short Trade on SPK

The 10 Sep 2025 at 09:00:31

With 28795.0926 SPK at 0.06467$ per unit.

Position size of 1862.1786 $

Take profit at 0.06411 (0.87 %) and Stop Loss at 0.06495 (0.43 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.34
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.69
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.69
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_medium_confirmed

rules_regime_5m : bull_low

1H_regime : range_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.255259

15m : 0.014716

1H : 0.07677

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001852167453
Details
  1. score: 1.06
  2. 1H
  3. ema9 : 0.0643992
  4. ema21 : 0.0647139
  5. ema50 : 0.0650429
  6. ema100 : 0.0642418
  7. price_ema9_diff : 0.00420471
  8. ema9_ema21_diff : -0.00486278
  9. ema21_ema50_diff : -0.00505956
  10. price_ema100_diff : 0.006665
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0425486
  14. ema_slope_21 : -0.105479
  15. ema_slope_50 : -0.057753
  16. ema_slope_100 : 0.00203641
  17. rsi : 0.477991
  18. adx : 0.186506
  19. kc_percentage : 0.495836
  20. kc_width_percentage : 0.0410466
  21. volume_ema_diff : -0.226164
  22. volume_ema1 : 461260.47740423
  23. volume_ema2 : 596070.12592644
  24. regime : range_high
  25. ¸
  26. 15m
  27. ema9 : 0.0642941
  28. ema21 : 0.0642591
  29. ema50 : 0.0644031
  30. ema100 : 0.0649881
  31. price_ema9_diff : 0.00584653
  32. ema9_ema21_diff : 0.000543866
  33. ema21_ema50_diff : -0.00223539
  34. price_ema100_diff : -0.00489535
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0318885
  38. ema_slope_21 : -0.0198721
  39. ema_slope_50 : -0.0198235
  40. ema_slope_100 : -0.0292872
  41. rsi : 0.595557
  42. adx : 0.161493
  43. kc_percentage : 0.832641
  44. kc_width_percentage : 0.0191156
  45. volume_ema_diff : 1.63597
  46. volume_ema1 : 315985.53829951
  47. volume_ema2 : 119874.27414347
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 0.064381
  52. ema21 : 0.0642369
  53. ema50 : 0.0642147
  54. ema100 : 0.0642344
  55. price_ema9_diff : 0.00448888
  56. ema9_ema21_diff : 0.00224221
  57. ema21_ema50_diff : 0.000346399
  58. price_ema100_diff : 0.00678036
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0538842
  62. ema_slope_21 : 0.025857
  63. ema_slope_50 : 0.0061858
  64. ema_slope_100 : 0.00154703
  65. rsi : 0.686199
  66. adx : 0.275631
  67. kc_percentage : 1.06154
  68. kc_width_percentage : 0.0117832
  69. volume_ema_diff : 1.11439
  70. volume_ema1 : 135333.24536421
  71. volume_ema2 : 64005.626266733
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112242
  77. 5m_price_ema100_diff:
    0.0102089
  78. 5m_price:
    113387
  79. 5m_correlation_with_coin:
    0.255259
  80. btc_indicators
  81. 15m_ema100:
    112011
  82. 15m_price_ema100_diff:
    0.0122895
  83. 15m_price:
    113387
  84. 15m_correlation_with_coin:
    0.014716
  85. btc_indicators
  86. 1H_ema100:
    111570
  87. 1H_price_ema100_diff:
    0.0162934
  88. 1H_price:
    113387
  89. 1H_correlation_with_coin:
    0.07677
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
10 Sep 2025
09:00:31
10 Sep 2025
09:45:00
44 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.06467 0.06495 0.06411 2 0.02056
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 0.06467
  • Stop Loss: 0.06495
  • Take Profit: 0.06411

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06495 - 0.06467 = 0.00027999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06467 - 0.06411 = 0.00056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00056 / 0.00027999999999999 = 2

📌 Position Size

Amount Margin Quantity Leverage
1862.1786 100 28795.0926 18.62
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 0.00027999999999999

Taille de position = 8 / 0.00027999999999999 = 28571.43

Taille de position USD = 28571.43 x 0.06467 = 1847.71

Donc, tu peux acheter 28571.43 avec un stoploss a 0.06495

Avec un position size USD de 1847.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00027999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 28571.43
  • Taille de position USD 1847.71
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.87 % 16.13 $
SL % Target SL $ Target
0.43 % 8.06 $
PNL PNL %
-8.06 $ -0.43
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5103 % 117.85 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06411
            [entry_price] => 0.06467
            [stop_loss] => 0.064978
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-10 09:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06411
            [entry_price] => 0.06467
            [stop_loss] => 0.065006
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-10 10:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06411
            [entry_price] => 0.06467
            [stop_loss] => 0.065034
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-10 10:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06411
            [entry_price] => 0.06467
            [stop_loss] => 0.06509
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-10 10:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00030000000000001
            [max_drawdown] => 0.00119
            [rr_ratio] => 0.25
            [high] => 0.06586000
            [low] => 0.06437000
            [mfe_pct] => 0.46
            [mae_pct] => 1.84
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-10T09:00:31-04:00
            [end_at] => 2025-09-10T11:00:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00077000000000001
            [max_drawdown] => 0.00334
            [rr_ratio] => 0.23
            [high] => 0.06801000
            [low] => 0.06390000
            [mfe_pct] => 1.19
            [mae_pct] => 5.16
            [mfe_mae_ratio] => 0.23
            [candles_analyzed] => 84
            [start_at] => 2025-09-10T09:00:31-04:00
            [end_at] => 2025-09-10T16:00:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06526000
            [high_after] => 0.06801000
            [low_before] => 0.06356000
            [low_after] => 0.06437000
            [is_new_high] => 
            [is_new_low] => 
        )

)