Long Trade on VANA 09 Sep 2025 at 08:00:11

Take profit at 4.5199 (1.16 %) and Stop Loss at 4.4421 (0.58 %)

Long Trade on VANA

The 09 Sep 2025 at 08:00:11

With 308.5045 VANA at 4.468$ per unit.

Position size of 1378.3981 $

Take profit at 4.5199 (1.16 %) and Stop Loss at 4.4421 (0.58 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: 0.25
Prediction Score: 2
Prediction 1 Probability
Weak Trade
0.61
Prediction 2 Probability
0 0.64
Prediction 3 Probability
0 0.58
BTC Market Regime Coin Market Regime

ml_regime : bull_moderate

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bull_high

15m_regime : bull_high

5m_regime : bear_low

BTC Correlation Score

5m : 0.270967

15m : 0.120712

1H : -0.106471

2

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.01728769996
Details
  1. score: 2.08
  2. 1H
  3. ema9 : 4.4788
  4. ema21 : 4.41474
  5. ema50 : 4.3096
  6. ema100 : 4.20306
  7. price_ema9_diff : -0.00241326
  8. ema9_ema21_diff : 0.0145111
  9. ema21_ema50_diff : 0.0243965
  10. price_ema100_diff : 0.0630327
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : 0.412154
  14. ema_slope_21 : 0.344954
  15. ema_slope_50 : 0.23042
  16. ema_slope_100 : 0.161795
  17. rsi : 0.584703
  18. adx : 0.456079
  19. kc_percentage : 0.651158
  20. kc_width_percentage : 0.0714432
  21. volume_ema_diff : -0.197499
  22. volume_ema1 : 170908.11327615
  23. volume_ema2 : 212969.5221998
  24. regime : bull_high
  25. ¸
  26. 15m
  27. ema9 : 4.50454
  28. ema21 : 4.50864
  29. ema50 : 4.46504
  30. ema100 : 4.39198
  31. price_ema9_diff : -0.00811393
  32. ema9_ema21_diff : -0.000907393
  33. ema21_ema50_diff : 0.00976284
  34. price_ema100_diff : 0.0173087
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0147001
  38. ema_slope_21 : 0.0317862
  39. ema_slope_50 : 0.0667894
  40. ema_slope_100 : 0.0689485
  41. rsi : 0.434577
  42. adx : 0.274061
  43. kc_percentage : 0.201597
  44. kc_width_percentage : 0.030987
  45. volume_ema_diff : -0.512755
  46. volume_ema1 : 34157.773491022
  47. volume_ema2 : 70103.915681433
  48. regime : bull_high
  49. ¸
  50. 5m
  51. ema9 : 4.49072
  52. ema21 : 4.50708
  53. ema50 : 4.51417
  54. ema100 : 4.5009
  55. price_ema9_diff : -0.00506015
  56. ema9_ema21_diff : -0.00362909
  57. ema21_ema50_diff : -0.00157216
  58. price_ema100_diff : -0.00731071
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : -0.0533565
  62. ema_slope_21 : -0.0473354
  63. ema_slope_50 : -0.0184154
  64. ema_slope_100 : -0.000963496
  65. rsi : 0.344274
  66. adx : 0.252292
  67. kc_percentage : -0.0768841
  68. kc_width_percentage : 0.0148003
  69. volume_ema_diff : -0.567084
  70. volume_ema1 : 8541.7318893996
  71. volume_ema2 : 19730.6939304
  72. regime : bear_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    112544
  77. 5m_price_ema100_diff:
    -0.00130348
  78. 5m_price:
    112397
  79. 5m_correlation_with_coin:
    0.270967
  80. btc_indicators
  81. 15m_ema100:
    112250
  82. 15m_price_ema100_diff:
    0.00130926
  83. 15m_price:
    112397
  84. 15m_correlation_with_coin:
    0.120712
  85. btc_indicators
  86. 1H_ema100:
    111665
  87. 1H_price_ema100_diff:
    0.00655932
  88. 1H_price:
    112397
  89. 1H_correlation_with_coin:
    -0.106471
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
08:00:11
09 Sep 2025
08:30:00
29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.468 4.4421 4.5199 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 4.468
  • Stop Loss: 4.4421
  • Take Profit: 4.5199

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.4421 - 4.468 = -0.0259

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.468 - 4.5199 = -0.0519

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0519 / -0.0259 = 2.0039

📌 Position Size

Amount Margin Quantity Leverage
1378.3981 100 308.5045 13.78
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 -0.0259

Taille de position = 8 / -0.0259 = -308.88

Taille de position USD = -308.88 x 4.468 = -1380.08

Donc, tu peux acheter -308.88 avec un stoploss a 4.4421

Avec un position size USD de -1380.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -308.88 x -0.0259 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -308.88 x -0.0519 = 16.03

Si Take Profit atteint, tu gagneras 16.03$

Résumé

  • Taille de position -308.88
  • Taille de position USD -1380.08
  • Perte potentielle 8
  • Gain potentiel 16.03
  • Risk-Reward Ratio 2.0039

📌 Peformances

TP % Target TP $ Target
1.16 % 16.01 $
SL % Target SL $ Target
0.58 % 7.99 $
PNL PNL %
-7.99 $ -0.58
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.0072 % 173.75 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.5199
            [entry_price] => 4.468
            [stop_loss] => 4.43951
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 08:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.5199
            [entry_price] => 4.468
            [stop_loss] => 4.43692
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 08:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.5199
            [entry_price] => 4.468
            [stop_loss] => 4.43433
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 08:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.5199
            [entry_price] => 4.468
            [stop_loss] => 4.42915
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 08:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.099
            [rr_ratio] => 0.2
            [high] => 4.48800000
            [low] => 4.36900000
            [mfe_pct] => 0.45
            [mae_pct] => 2.22
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T08:00:11-04:00
            [end_at] => 2025-09-09T10:00:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.02
            [max_drawdown] => 0.131
            [rr_ratio] => 0.15
            [high] => 4.48800000
            [low] => 4.33700000
            [mfe_pct] => 0.45
            [mae_pct] => 2.93
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T08:00:11-04:00
            [end_at] => 2025-09-09T15:00:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.62000000
            [high_after] => 4.48800000
            [low_before] => 4.46000000
            [low_after] => 4.33700000
            [is_new_high] => 
            [is_new_low] => 
        )

)