Short Trade on MSTR 09 Oct 2025 at 20:59:45

Take profit at 322.3996 (0.078 %) and Stop Loss at 322.7752 (0.039 %)

Short Trade on MSTR

The 09 Oct 2025 at 20:59:45

With 63.9073 MSTR at 322.65$ per unit.

Position size of 20619.7014 $

Take profit at 322.3996 (0.078 %) and Stop Loss at 322.7752 (0.039 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 4.58
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.68
Prediction 3 Probability
1 0.63
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

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 : 0.065352

15m : -0.015229

1H : -0.004217

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.56
  4. atr: 0.08345416698
Details
  1. score: 1.56
  2. 1H
  3. ema9 : 322.231
  4. ema21 : 323.862
  5. ema50 : 328.802
  6. ema100 : 335.404
  7. price_ema9_diff : 0.00130017
  8. ema9_ema21_diff : -0.0050377
  9. ema21_ema50_diff : -0.0150246
  10. price_ema100_diff : -0.0380283
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.122392
  14. ema_slope_21 : -0.109549
  15. ema_slope_50 : -0.106688
  16. ema_slope_100 : -0.090001
  17. rsi : 0.4222
  18. adx : 0.321904
  19. kc_percentage : 0.337005
  20. kc_width_percentage : 0.0201348
  21. volume_ema_diff : -0.696126
  22. volume_ema1 : 46506.573081952
  23. volume_ema2 : 153045.82374583
  24. chop : 41.0922
  25. regime : bear_medium
  26. ¸
  27. 15m
  28. ema9 : 322.305
  29. ema21 : 321.949
  30. ema50 : 322.578
  31. ema100 : 324.245
  32. price_ema9_diff : 0.00106844
  33. ema9_ema21_diff : 0.00110549
  34. ema21_ema50_diff : -0.00195004
  35. price_ema100_diff : -0.00492053
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.028511
  39. ema_slope_21 : 0.0165341
  40. ema_slope_50 : -0.00635042
  41. ema_slope_100 : -0.0145529
  42. rsi : 0.574334
  43. adx : 0.205101
  44. kc_percentage : 0.946593
  45. kc_width_percentage : 0.00479974
  46. volume_ema_diff : -0.892626
  47. volume_ema1 : 3059.1169410974
  48. volume_ema2 : 28490.506924851
  49. chop : 66.253
  50. regime : range_low
  51. ¸
  52. 5m
  53. ema9 : 322.596
  54. ema21 : 322.386
  55. ema50 : 321.936
  56. ema100 : 321.591
  57. price_ema9_diff : 0.000166195
  58. ema9_ema21_diff : 0.000651142
  59. ema21_ema50_diff : 0.0013983
  60. price_ema100_diff : 0.0032899
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.0129483
  64. ema_slope_21 : 0.0131163
  65. ema_slope_50 : 0.0108956
  66. ema_slope_100 : 0.00720939
  67. rsi : 0.704021
  68. adx : 0.485112
  69. kc_percentage : 1.56074
  70. kc_width_percentage : 0.00071684
  71. volume_ema_diff : -0.917001
  72. volume_ema1 : 218.55558512552
  73. volume_ema2 : 2633.2495244077
  74. chop : 81.3628
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    121225
  80. 5m_price_ema100_diff:
    0.00366281
  81. 5m_price:
    121669
  82. 5m_correlation_with_coin:
    0.065352
  83. btc_indicators
  84. 15m_ema100:
    121719
  85. 15m_price_ema100_diff:
    -0.00118777
  86. 15m_price:
    121574
  87. 15m_correlation_with_coin:
    -0.015229
  88. btc_indicators
  89. 1H_ema100:
    122456
  90. 1H_price_ema100_diff:
    -0.00642338
  91. 1H_price:
    121669
  92. 1H_correlation_with_coin:
    -0.004217
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Oct 2025
20:59:45
09 Oct 2025
21:40:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
322.65 322.7752 322.3996 2 133.19
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 322.65
  • Stop Loss: 322.7752
  • Take Profit: 322.3996

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 322.7752 - 322.65 = 0.12520000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 322.65 - 322.3996 = 0.25039999999996

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.25039999999996 / 0.12520000000001 = 2

📌 Position Size

Amount Margin Quantity Leverage
20619.7014 100 63.9073 206.20
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 0.12520000000001

Taille de position = 8 / 0.12520000000001 = 63.9

Taille de position USD = 63.9 x 322.65 = 20617.34

Donc, tu peux acheter 63.9 avec un stoploss a 322.7752

Avec un position size USD de 20617.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 63.9 x 0.12520000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 63.9 x 0.25039999999996 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 63.9
  • Taille de position USD 20617.34
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.078 % 16 $
SL % Target SL $ Target
0.039 % 8 $
PNL PNL %
-8 $ -0.04
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0496 % 127.84 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 322.3996
            [entry_price] => 322.65
            [stop_loss] => 322.78772
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-10-09 21:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 322.3996
            [entry_price] => 322.65
            [stop_loss] => 322.80024
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-10-09 21:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 322.3996
            [entry_price] => 322.65
            [stop_loss] => 322.81276
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-10-09 22:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 322.3996
            [entry_price] => 322.65
            [stop_loss] => 322.8378
            [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] => 1.38
            [max_drawdown] => 0.44
            [rr_ratio] => 3.14
            [high] => 323.09000000
            [low] => 321.27000000
            [mfe_pct] => 0.43
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 3.14
            [candles_analyzed] => 24
            [start_at] => 2025-10-09T20:59:45-04:00
            [end_at] => 2025-10-09T22:59:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.52
            [max_drawdown] => 0.44
            [rr_ratio] => 3.45
            [high] => 323.09000000
            [low] => 321.13000000
            [mfe_pct] => 0.47
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 3.45
            [candles_analyzed] => 84
            [start_at] => 2025-10-09T20:59:45-04:00
            [end_at] => 2025-10-10T03:59:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 322.66000000
            [high_after] => 323.09000000
            [low_before] => 320.79000000
            [low_after] => 321.13000000
            [is_new_high] => 
            [is_new_low] => 
        )

)