Short Trade on MSTR 09 Oct 2025 at 18:43:53

Take profit at 321.5009 (0.19 %) and Stop Loss at 322.3996 (0.093 %)

Short Trade on MSTR

The 09 Oct 2025 at 18:43:53

With 26.7064 MSTR at 322.1$ per unit.

Position size of 8602.1296 $

Take profit at 321.5009 (0.19 %) and Stop Loss at 322.3996 (0.093 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 1.19
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.74
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 : 0.274433

15m : 0.020725

1H : 0.111331

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.32
  4. atr: 0.1997024862
Details
  1. score: 1.32
  2. 1H
  3. ema9 : 322.126
  4. ema21 : 324.174
  5. ema50 : 329.339
  6. ema100 : 335.937
  7. price_ema9_diff : -8.34517E-5
  8. ema9_ema21_diff : -0.00631606
  9. ema21_ema50_diff : -0.0156831
  10. price_ema100_diff : -0.041191
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.107546
  14. ema_slope_21 : -0.101424
  15. ema_slope_50 : -0.103292
  16. ema_slope_100 : -0.08771
  17. rsi : 0.399968
  18. adx : 0.341658
  19. kc_percentage : 0.246557
  20. kc_width_percentage : 0.0233181
  21. volume_ema_diff : -0.493963
  22. volume_ema1 : 83178.649184391
  23. volume_ema2 : 164372.94412979
  24. chop : 41.3112
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 321.401
  29. ema21 : 321.384
  30. ema50 : 322.697
  31. ema100 : 324.694
  32. price_ema9_diff : 0.00217253
  33. ema9_ema21_diff : 5.35282E-5
  34. ema21_ema50_diff : -0.00406754
  35. price_ema100_diff : -0.00799
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.0187037
  39. ema_slope_21 : -0.00414592
  40. ema_slope_50 : -0.0232624
  41. ema_slope_100 : -0.024248
  42. rsi : 0.502732
  43. adx : 0.312786
  44. kc_percentage : 0.816689
  45. kc_width_percentage : 0.00727154
  46. volume_ema_diff : -0.71381
  47. volume_ema1 : 11187.697751081
  48. volume_ema2 : 39091.914452208
  49. chop : 69.3463
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 321.705
  54. ema21 : 321.479
  55. ema50 : 321.243
  56. ema100 : 321.654
  57. price_ema9_diff : 0.00122747
  58. ema9_ema21_diff : 0.000701096
  59. ema21_ema50_diff : 0.000736026
  60. price_ema100_diff : 0.00138353
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0114907
  64. ema_slope_21 : 0.0123134
  65. ema_slope_50 : 0.00712431
  66. ema_slope_100 : 0.000207775
  67. rsi : 0.660512
  68. adx : 0.241701
  69. kc_percentage : 1.31955
  70. kc_width_percentage : 0.00228179
  71. volume_ema_diff : -0.553279
  72. volume_ema1 : 2823.8886711857
  73. volume_ema2 : 6321.3719529947
  74. chop : 40.1772
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121126
  80. 5m_price_ema100_diff:
    0.00395519
  81. 5m_price:
    121605
  82. 5m_correlation_with_coin:
    0.274433
  83. btc_indicators
  84. 15m_ema100:
    121776
  85. 15m_price_ema100_diff:
    -0.00215877
  86. 15m_price:
    121513
  87. 15m_correlation_with_coin:
    0.020725
  88. btc_indicators
  89. 1H_ema100:
    122471
  90. 1H_price_ema100_diff:
    -0.00707031
  91. 1H_price:
    121605
  92. 1H_correlation_with_coin:
    0.111331
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
18:43:53
09 Oct 2025
19:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
322.1 322.3996 321.5009 2 133.2
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 322.1
  • Stop Loss: 322.3996
  • Take Profit: 321.5009

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 322.3996 - 322.1 = 0.2996

  • Récompense (distance jusqu'au take profit):

    E - TP = 322.1 - 321.5009 = 0.59910000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.59910000000002 / 0.2996 = 1.9997

📌 Position Size

Amount Margin Quantity Leverage
8602.1296 100 26.7064 86.02
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 0.2996

Taille de position = 8 / 0.2996 = 26.7

Taille de position USD = 26.7 x 322.1 = 8600.07

Donc, tu peux acheter 26.7 avec un stoploss a 322.3996

Avec un position size USD de 8600.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 26.7 x 0.2996 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 26.7 x 0.59910000000002 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 26.7
  • Taille de position USD 8600.07
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 1.9997

📌 Peformances

TP % Target TP $ Target
0.19 % 16 $
SL % Target SL $ Target
0.093 % 8 $
PNL PNL %
-8 $ -0.09
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1056 % 113.55 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 321.5009
            [entry_price] => 322.1
            [stop_loss] => 322.42956
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 19:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 321.5009
            [entry_price] => 322.1
            [stop_loss] => 322.45952
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 321.5009
            [entry_price] => 322.1
            [stop_loss] => 322.48948
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 20:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 321.5009
            [entry_price] => 322.1
            [stop_loss] => 322.5494
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-10-09 20:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.42000000000002
            [max_drawdown] => 0.56
            [rr_ratio] => 0.75
            [high] => 322.66000000
            [low] => 321.68000000
            [mfe_pct] => 0.13
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 0.75
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T18:43:53-04:00
            [end_at] => 2025-10-09T20:43:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.97000000000003
            [max_drawdown] => 0.98999999999995
            [rr_ratio] => 0.98
            [high] => 323.09000000
            [low] => 321.13000000
            [mfe_pct] => 0.3
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 0.98
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T18:43:53-04:00
            [end_at] => 2025-10-10T01:43:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 322.10000000
            [high_after] => 323.09000000
            [low_before] => 319.23000000
            [low_after] => 321.13000000
            [is_new_high] => 
            [is_new_low] => 
        )

)