Short Trade on MSTR 09 Oct 2025 at 19:53:05

Take profit at 321.859 (0.18 %) and Stop Loss at 322.7305 (0.09 %)

Short Trade on MSTR

The 09 Oct 2025 at 19:53:05

With 27.5409 MSTR at 322.44$ per unit.

Position size of 8880.2739 $

Take profit at 321.859 (0.18 %) and Stop Loss at 322.7305 (0.09 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.21
Prediction Score: 3
Prediction 1 Probability
Strong Trade
0.5
Prediction 2 Probability
0 0.75
Prediction 3 Probability
0 0.67
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_medium

15m_regime : range_low

5m_regime : range_low

BTC Correlation Score

5m : 0.119956

15m : 0.084562

1H : 0.103232

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.31
  4. atr: 0.1936516846
Details
  1. score: 1.31
  2. 1H
  3. ema9 : 322.122
  4. ema21 : 323.982
  5. ema50 : 329.053
  6. ema100 : 335.662
  7. price_ema9_diff : 0.000986253
  8. ema9_ema21_diff : -0.00574013
  9. ema21_ema50_diff : -0.015411
  10. price_ema100_diff : -0.0393913
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.112558
  14. ema_slope_21 : -0.104352
  15. ema_slope_50 : -0.104485
  16. ema_slope_100 : -0.0886033
  17. rsi : 0.414084
  18. adx : 0.331783
  19. kc_percentage : 0.306434
  20. kc_width_percentage : 0.0220858
  21. volume_ema_diff : -0.63223
  22. volume_ema1 : 58236.752322928
  23. volume_ema2 : 158351.23344927
  24. chop : 41.2585
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 321.839
  29. ema21 : 321.635
  30. ema50 : 322.579
  31. ema100 : 324.445
  32. price_ema9_diff : 0.00186734
  33. ema9_ema21_diff : 0.000632614
  34. ema21_ema50_diff : -0.00292729
  35. price_ema100_diff : -0.0061813
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0307017
  39. ema_slope_21 : 0.0114003
  40. ema_slope_50 : -0.012404
  41. ema_slope_100 : -0.0185025
  42. rsi : 0.558761
  43. adx : 0.232267
  44. kc_percentage : 0.861457
  45. kc_width_percentage : 0.00695582
  46. volume_ema_diff : -0.917987
  47. volume_ema1 : 2665.0030893057
  48. volume_ema2 : 32494.974824863
  49. chop : 59.3467
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 322.004
  54. ema21 : 321.821
  55. ema50 : 321.478
  56. ema100 : 321.276
  57. price_ema9_diff : 0.00135124
  58. ema9_ema21_diff : 0.000568646
  59. ema21_ema50_diff : 0.00106812
  60. price_ema100_diff : 0.00362152
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.00548015
  64. ema_slope_21 : 0.00672787
  65. ema_slope_50 : 0.00694199
  66. ema_slope_100 : 0.00440639
  67. rsi : 0.666043
  68. adx : 0.327919
  69. kc_percentage : 1.30554
  70. kc_width_percentage : 0.00232479
  71. volume_ema_diff : -0.952662
  72. volume_ema1 : 182.14678985273
  73. volume_ema2 : 3847.8617355375
  74. chop : 50.0584
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121116
  80. 5m_price_ema100_diff:
    0.00302144
  81. 5m_price:
    121482
  82. 5m_correlation_with_coin:
    0.119956
  83. btc_indicators
  84. 15m_ema100:
    121729
  85. 15m_price_ema100_diff:
    -0.0020304
  86. 15m_price:
    121482
  87. 15m_correlation_with_coin:
    0.084562
  88. btc_indicators
  89. 1H_ema100:
    122468
  90. 1H_price_ema100_diff:
    -0.00804812
  91. 1H_price:
    121482
  92. 1H_correlation_with_coin:
    0.103232
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
19:53:05
09 Oct 2025
21:40:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
322.44 322.7305 321.859 2 128.55
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 322.44
  • Stop Loss: 322.7305
  • Take Profit: 321.859

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 322.7305 - 322.44 = 0.29050000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 322.44 - 321.859 = 0.58100000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.58100000000002 / 0.29050000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
8880.2739 100 27.5409 88.80
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 0.29050000000001

Taille de position = 8 / 0.29050000000001 = 27.54

Taille de position USD = 27.54 x 322.44 = 8880

Donc, tu peux acheter 27.54 avec un stoploss a 322.7305

Avec un position size USD de 8880$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 27.54 x 0.29050000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 27.54 x 0.58100000000002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 27.54
  • Taille de position USD 8880
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.18 % 16 $
SL % Target SL $ Target
0.09 % 8 $
PNL PNL %
-8 $ -0.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1148 % 127.41 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 321.859
            [entry_price] => 322.44
            [stop_loss] => 322.75955
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 21:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 321.859
            [entry_price] => 322.44
            [stop_loss] => 322.7886
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 21:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 321.859
            [entry_price] => 322.44
            [stop_loss] => 322.81765
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 321.859
            [entry_price] => 322.44
            [stop_loss] => 322.87575
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 22:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.37
            [rr_ratio] => 0
            [high] => 322.81000000
            [low] => 322.44000000
            [mfe_pct] => 0
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T19:53:05-04:00
            [end_at] => 2025-10-09T21:53:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.31
            [max_drawdown] => 0.64999999999998
            [rr_ratio] => 2.02
            [high] => 323.09000000
            [low] => 321.13000000
            [mfe_pct] => 0.41
            [mae_pct] => 0.2
            [mfe_mae_ratio] => 2.02
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T19:53:05-04:00
            [end_at] => 2025-10-10T02:53:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 322.44000000
            [high_after] => 323.09000000
            [low_before] => 320.16000000
            [low_after] => 321.13000000
            [is_new_high] => 
            [is_new_low] => 
        )

)