Short Trade on MSTR 09 Oct 2025 at 22:02:25

Take profit at 322.6902 (0.037 %) and Stop Loss at 322.8699 (0.019 %)

Short Trade on MSTR

The 09 Oct 2025 at 22:02:25

With 133.5502 MSTR at 322.81$ per unit.

Position size of 43111.3341 $

Take profit at 322.6902 (0.037 %) and Stop Loss at 322.8699 (0.019 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 7.34
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.91
Prediction 2 Probability
0 0.74
Prediction 3 Probability
1 0.83
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : -0.068103

15m : 0.15507

1H : -0.021927

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 1.12
  4. atr: 0.03993505114
Details
  1. score: 2.12
  2. 1H
  3. ema9 : 322.439
  4. ema21 : 323.679
  5. ema50 : 328.341
  6. ema100 : 334.911
  7. price_ema9_diff : 0.00114915
  8. ema9_ema21_diff : -0.00383224
  9. ema21_ema50_diff : -0.0141987
  10. price_ema100_diff : -0.036132
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.0925298
  14. ema_slope_21 : -0.0973673
  15. ema_slope_50 : -0.101574
  16. ema_slope_100 : -0.088065
  17. rsi : 0.428737
  18. adx : 0.302275
  19. kc_percentage : 0.361683
  20. kc_width_percentage : 0.0164799
  21. volume_ema_diff : -0.847989
  22. volume_ema1 : 21497.012525312
  23. volume_ema2 : 141417.88428041
  24. chop : 40.2008
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 322.615
  29. ema21 : 322.254
  30. ema50 : 322.591
  31. ema100 : 323.969
  32. price_ema9_diff : 0.000603696
  33. ema9_ema21_diff : 0.00111817
  34. ema21_ema50_diff : -0.00104437
  35. price_ema100_diff : -0.00357928
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0247976
  39. ema_slope_21 : 0.0191906
  40. ema_slope_50 : -0.000620027
  41. ema_slope_100 : -0.0100057
  42. rsi : 0.590948
  43. adx : 0.191998
  44. kc_percentage : 1.0566
  45. kc_width_percentage : 0.0029934
  46. volume_ema_diff : -0.967059
  47. volume_ema1 : 773.77900129678
  48. volume_ema2 : 23490.408857909
  49. chop : 71.982
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 322.756
  54. ema21 : 322.636
  55. ema50 : 322.235
  56. ema100 : 321.672
  57. price_ema9_diff : 0.000164262
  58. ema9_ema21_diff : 0.000373671
  59. ema21_ema50_diff : 0.00124309
  60. price_ema100_diff : 0.00353559
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.00387143
  64. ema_slope_21 : 0.00584532
  65. ema_slope_50 : 0.00787183
  66. ema_slope_100 : 0.00739922
  67. rsi : 0.77661
  68. adx : 0.592962
  69. kc_percentage : 2.12047
  70. kc_width_percentage : 0.000308968
  71. volume_ema_diff : -0.976774
  72. volume_ema1 : 36.862773646587
  73. volume_ema2 : 1587.1483286854
  74. chop : 60.9679
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121310
  80. 5m_price_ema100_diff:
    0.0021061
  81. 5m_price:
    121565
  82. 5m_correlation_with_coin:
    -0.068103
  83. btc_indicators
  84. 15m_ema100:
    121635
  85. 15m_price_ema100_diff:
    -0.000574979
  86. 15m_price:
    121565
  87. 15m_correlation_with_coin:
    0.15507
  88. btc_indicators
  89. 1H_ema100:
    122519
  90. 1H_price_ema100_diff:
    -0.00778629
  91. 1H_price:
    121565
  92. 1H_correlation_with_coin:
    -0.021927
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
22:02:25
09 Oct 2025
22:05:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
322.81 322.8699 322.6902 2 131.56
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 322.81
  • Stop Loss: 322.8699
  • Take Profit: 322.6902

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 322.8699 - 322.81 = 0.059899999999971

  • Récompense (distance jusqu'au take profit):

    E - TP = 322.81 - 322.6902 = 0.1198

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1198 / 0.059899999999971 = 2

📌 Position Size

Amount Margin Quantity Leverage
43111.3341 100 133.5502 431.11
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 0.059899999999971

Taille de position = 8 / 0.059899999999971 = 133.56

Taille de position USD = 133.56 x 322.81 = 43114.5

Donc, tu peux acheter 133.56 avec un stoploss a 322.8699

Avec un position size USD de 43114.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 133.56 x 0.059899999999971 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 133.56 x 0.1198 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 133.56
  • Taille de position USD 43114.5
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.037 % 16 $
SL % Target SL $ Target
0.019 % 8 $
PNL PNL %
-8 $ -0.02
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0867 % 466.13 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 322.6902
            [entry_price] => 322.81
            [stop_loss] => 322.87589
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 22:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 322.6902
            [entry_price] => 322.81
            [stop_loss] => 322.88188
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 22:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 322.6902
            [entry_price] => 322.81
            [stop_loss] => 322.88787
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 22:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 322.6902
            [entry_price] => 322.81
            [stop_loss] => 322.89985
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 22:05:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.54
            [max_drawdown] => 0.27999999999997
            [rr_ratio] => 5.5
            [high] => 323.09000000
            [low] => 321.27000000
            [mfe_pct] => 0.48
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 5.5
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T22:02:25-04:00
            [end_at] => 2025-10-10T00:02:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.68
            [max_drawdown] => 0.75
            [rr_ratio] => 2.24
            [high] => 323.56000000
            [low] => 321.13000000
            [mfe_pct] => 0.52
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 2.24
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T22:02:25-04:00
            [end_at] => 2025-10-10T05:02:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 323.09000000
            [high_after] => 323.09000000
            [low_before] => 321.30000000
            [low_after] => 321.13000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)