Short Trade on VANA 23 Sep 2025 at 03:12:41

Take profit at 4.041 (1.37 %) and Stop Loss at 4.125 (0.68 %)

Short Trade on VANA

The 23 Sep 2025 at 03:12:41

With 285.6417 VANA at 4.097$ per unit.

Position size of 1170.2739 $

Take profit at 4.041 (1.37 %) and Stop Loss at 4.125 (0.68 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -80
ML Pullback Score: 2.9
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.72
Prediction 2 Probability
0 0.45
Prediction 3 Probability
1 0.5
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : bull_medium

BTC Correlation Score

5m : 0.468286

15m : 0.037532

1H : 0.011459

2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.01867141269
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 4.07302
  4. ema21 : 4.17655
  5. ema50 : 4.3371
  6. ema100 : 4.39818
  7. price_ema9_diff : 0.00588732
  8. ema9_ema21_diff : -0.0247889
  9. ema21_ema50_diff : -0.0370176
  10. price_ema100_diff : -0.0684787
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.322413
  14. ema_slope_21 : -0.40666
  15. ema_slope_50 : -0.285518
  16. ema_slope_100 : -0.154478
  17. rsi : 0.4232
  18. adx : 0.277636
  19. kc_percentage : 0.326912
  20. kc_width_percentage : 0.0994661
  21. volume_ema_diff : -0.512841
  22. volume_ema1 : 233012.08548132
  23. volume_ema2 : 478308.69494205
  24. chop : 43.5714
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.05118
  29. ema21 : 4.04304
  30. ema50 : 4.09666
  31. ema100 : 4.17322
  32. price_ema9_diff : 0.0113086
  33. ema9_ema21_diff : 0.00201376
  34. ema21_ema50_diff : -0.0130894
  35. price_ema100_diff : -0.0182646
  36. all_emas_in_trend : False
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : 0.112784
  39. ema_slope_21 : -0.0266643
  40. ema_slope_50 : -0.0848882
  41. ema_slope_100 : -0.0794842
  42. rsi : 0.583182
  43. adx : 0.186542
  44. kc_percentage : 0.852044
  45. kc_width_percentage : 0.0381681
  46. volume_ema_diff : -0.282975
  47. volume_ema1 : 62662.088604609
  48. volume_ema2 : 87391.807586425
  49. chop : 50.0685
  50. regime : bear_high
  51. ¸
  52. 5m
  53. ema9 : 4.07996
  54. ema21 : 4.05523
  55. ema50 : 4.03733
  56. ema100 : 4.0636
  57. price_ema9_diff : 0.00417624
  58. ema9_ema21_diff : 0.00609822
  59. ema21_ema50_diff : 0.00443231
  60. price_ema100_diff : 0.0082189
  61. all_emas_in_trend : True
  62. all_emas_and_price_in_trend : True
  63. ema_slope_9 : 0.127396
  64. ema_slope_21 : 0.111778
  65. ema_slope_50 : 0.0520987
  66. ema_slope_100 : 0.0075491
  67. rsi : 0.680824
  68. adx : 0.325291
  69. kc_percentage : 1.04041
  70. kc_width_percentage : 0.0180828
  71. volume_ema_diff : -0.617659
  72. volume_ema1 : 9554.4468666056
  73. volume_ema2 : 24989.383307907
  74. chop : 36.1827
  75. regime : bull_medium
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    112505
  80. 5m_price_ema100_diff:
    0.00335067
  81. 5m_price:
    112882
  82. 5m_correlation_with_coin:
    0.468286
  83. btc_indicators
  84. 15m_ema100:
    112543
  85. 15m_price_ema100_diff:
    0.00300756
  86. 15m_price:
    112882
  87. 15m_correlation_with_coin:
    0.037532
  88. btc_indicators
  89. 1H_ema100:
    114472
  90. 1H_price_ema100_diff:
    -0.0138936
  91. 1H_price:
    112882
  92. 1H_correlation_with_coin:
    0.011459
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
23 Sep 2025
03:12:41
23 Sep 2025
03:35:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.097 4.125 4.041 2 1.475
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 4.097
  • Stop Loss: 4.125
  • Take Profit: 4.041

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.125 - 4.097 = 0.028

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.097 - 4.041 = 0.056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.056 / 0.028 = 2

📌 Position Size

Amount Margin Quantity Leverage
1170.2739 100 285.6417 11.70
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 0.028

Taille de position = 8 / 0.028 = 285.71

Taille de position USD = 285.71 x 4.097 = 1170.55

Donc, tu peux acheter 285.71 avec un stoploss a 4.125

Avec un position size USD de 1170.55$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 285.71 x 0.028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 285.71 x 0.056 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 285.71
  • Taille de position USD 1170.55
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1.37 % 16 $
SL % Target SL $ Target
0.68 % 8 $
PNL PNL %
-8 $ -0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8299 % 121.44 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.041
            [entry_price] => 4.097
            [stop_loss] => 4.1278
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-23 03:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.041
            [entry_price] => 4.097
            [stop_loss] => 4.1306
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-23 03:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.041
            [entry_price] => 4.097
            [stop_loss] => 4.1334
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-23 05:45:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 4.041
            [entry_price] => 4.097
            [stop_loss] => 4.139
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-23 05:45:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.052
            [max_drawdown] => 0.034
            [rr_ratio] => 1.53
            [high] => 4.13100000
            [low] => 4.04500000
            [mfe_pct] => 1.27
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.53
            [candles_analyzed] => 24
            [start_at] => 2025-09-23T03:12:41-04:00
            [end_at] => 2025-09-23T05:12:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095000000000001
            [max_drawdown] => 0.034
            [rr_ratio] => 2.79
            [high] => 4.13100000
            [low] => 4.00200000
            [mfe_pct] => 2.32
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 2.79
            [candles_analyzed] => 84
            [start_at] => 2025-09-23T03:12:41-04:00
            [end_at] => 2025-09-23T10:12:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.10400000
            [high_after] => 4.13100000
            [low_before] => 3.91800000
            [low_after] => 4.00600000
            [is_new_high] => 
            [is_new_low] => 
        )

)