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Short Trade on VANA

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Short Trade on VANA 26 Sep 2025 at 04:12:17

Take profit at 4.0898 (1.36 %) and Stop Loss at 4.1741 (0.68 %)

Short Trade on VANA

The 26 Sep 2025 at 04:12:17

With 284.6884 VANA at 4.146$ per unit.

Position size of 1180.3182 $

Take profit at 4.0898 (1.36 %) and Stop Loss at 4.1741 (0.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 6.19
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.77
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.76
BTC Market Regime Coin Market Regime

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_high

5m_regime : bull_medium_confirmed
BTC Correlation Score

5m : 0.675876

15m : -0.002605

1H : 0.097569

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.36
  4. atr: 0.0187339309
Details
  1. score: 1.36
  2. 1H
  3. ema9 : 4.09992
  4. ema21 : 4.17607
  5. ema50 : 4.30002
  6. ema100 : 4.35677
  7. price_ema9_diff : 0.011237
  8. ema9_ema21_diff : -0.0182328
  9. ema21_ema50_diff : -0.0288257
  10. price_ema100_diff : -0.0483788
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.220083
  14. ema_slope_21 : -0.333546
  15. ema_slope_50 : -0.235484
  16. ema_slope_100 : -0.132085
  17. rsi : 0.444076
  18. adx : 0.360191
  19. kc_percentage : 0.430298
  20. kc_width_percentage : 0.0796402
  21. volume_ema_diff : -0.736547
  22. volume_ema1 : 100371.521748
  23. volume_ema2 : 380985.53612712
  24. chop : 81.0692
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 4.08412
  28. ema21 : 4.08573
  29. ema50 : 4.11867
  30. ema100 : 4.18421
  31. price_ema9_diff : 0.0151511
  32. ema9_ema21_diff : -0.000396193
  33. ema21_ema50_diff : -0.00799663
  34. price_ema100_diff : -0.00913389
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00103025
  38. ema_slope_21 : -0.0331085
  39. ema_slope_50 : -0.0526571
  40. ema_slope_100 : -0.0582748
  41. rsi : 0.590115
  42. adx : 0.205343
  43. kc_percentage : 0.910856
  44. kc_width_percentage : 0.03576
  45. volume_ema_diff : -0.323246
  46. volume_ema1 : 32361.862351107
  47. volume_ema2 : 47819.309844463
  48. chop : 52.7135
  49. regime : range_high
    50. ¸
  50. 5m
  51. ema9 : 4.09408
  52. ema21 : 4.07891
  53. ema50 : 4.07869
  54. ema100 : 4.08655
  55. price_ema9_diff : 0.012681
  56. ema9_ema21_diff : 0.00371789
  57. ema21_ema50_diff : 5.4884E-5
  58. price_ema100_diff : 0.0145461
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0713453
  62. ema_slope_21 : 0.0304103
  63. ema_slope_50 : 0.0036397
  64. ema_slope_100 : -0.00353271
  65. rsi : 0.705574
  66. adx : 0.178549
  67. kc_percentage : 1.35533
  68. kc_width_percentage : 0.0187701
  69. volume_ema_diff : 0.610739
  70. volume_ema1 : 16215.531287795
  71. volume_ema2 : 10067.136106245
  72. chop : 29.3702
  73. regime : bull_medium_confirmed
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    109284
  77. 5m_price_ema100_diff: 
    0.00120553
  78. 5m_price: 
    109416
  79. 5m_correlation_with_coin: 
    0.675876
  80. btc_indicators
  81. 15m_ema100: 
    110019
  82. 15m_price_ema100_diff: 
    -0.00548443
  83. 15m_price: 
    109416
  84. 15m_correlation_with_coin: 
    -0.002605
  85. btc_indicators
  86. 1H_ema100: 
    111708
  87. 1H_price_ema100_diff: 
    -0.0205214
  88. 1H_price: 
    109416
  89. 1H_correlation_with_coin: 
    0.097569
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
26 Sep 2025
04:12:17		 26 Sep 2025
04:25:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.146 4.1741 4.0898 2 1.462
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 4.146
  • Stop Loss: 4.1741
  • Take Profit: 4.0898

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.1741 - 4.146 = 0.0281

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.146 - 4.0898 = 0.0562

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0562 / 0.0281 = 2

📌 Position Size

Amount Margin Quantity Leverage
1180.3182 100 284.6884 11.80
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 0.0281

Taille de position = 8 / 0.0281 = 284.7

Taille de position USD = 284.7 x 4.146 = 1180.37

Donc, tu peux acheter 284.7 avec un stoploss a 4.1741

Avec un position size USD de 1180.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 284.7 x 0.0281 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 284.7 x 0.0562 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 284.7
  • Taille de position USD 1180.37
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.36 % 16 $
SL % Target SL $ Target
0.68 % 8 $
PNL PNL %
-8 $ -0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9889 % 145.9 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.0898
            [entry_price] => 4.146
            [stop_loss] => 4.17691
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-26 04:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.0898
            [entry_price] => 4.146
            [stop_loss] => 4.17972
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-26 04:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.0898
            [entry_price] => 4.146
            [stop_loss] => 4.18253
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-26 04:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.0898
            [entry_price] => 4.146
            [stop_loss] => 4.18815
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-26 04:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.154
            [max_drawdown] => 0.058
            [rr_ratio] => 2.66
            [high] => 4.20400000
            [low] => 3.99200000
            [mfe_pct] => 3.71
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 2.66
            [candles_analyzed] => 24
            [start_at] => 2025-09-26T04:12:17-04:00
            [end_at] => 2025-09-26T06:12:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.199
            [max_drawdown] => 0.058
            [rr_ratio] => 3.43
            [high] => 4.20400000
            [low] => 3.94700000
            [mfe_pct] => 4.8
            [mae_pct] => 1.4
            [mfe_mae_ratio] => 3.43
            [candles_analyzed] => 84
            [start_at] => 2025-09-26T04:12:17-04:00
            [end_at] => 2025-09-26T11:12:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.15300000
            [high_after] => 4.20400000
            [low_before] => 4.03100000
            [low_after] => 3.94700000
            [is_new_high] => 
            [is_new_low] => 1
        )

)