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Long Trade on VET

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Long Trade on VET 12 May 2025 at 08:01:07

Take profit at 0.03235 (1.16 %) and Stop Loss at 0.03173 (0.78 %)

Long Trade on VET

The 12 May 2025 at 08:01:07

With 32059.7523 VET at 0.03198$ per unit.

Position size of 1025.1426 $

Take profit at 0.03235 (1.16 %) and Stop Loss at 0.03173 (0.78 %)

That's a 1.48 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 80
ML Pullback Score: 4.83
Prediction Score: -3.1519
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.540562

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.0001663560367
Details
  1. score: 2.12
  2. 1H
  3. ema9 : 0.0321571
  4. ema21 : 0.0318401
  5. ema50 : 0.0312749
  6. price_ema9_diff : -0.00569077
  7. ema9_ema21_diff : 0.00995653
  8. ema21_ema50_diff : 0.0180713
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.537596
  12. kc_percentage : 0.548786
  13. kc_width_percentage : 0.0727163
    14. ¸
  14. 15m
  15. ema9 : 0.0323392
  16. ema21 : 0.0323997
  17. ema50 : 0.0321145
  18. price_ema9_diff : -0.0112109
  19. ema9_ema21_diff : -0.00186829
  20. ema21_ema50_diff : 0.00888058
  21. all_emas_in_trend : False
  22. all_emas_and_price_in_trend : False
  23. rsi : 0.417526
  24. kc_percentage : 0.159035
  25. kc_width_percentage : 0.0393317
    26. ¸
  26. 5m
  27. ema9 : 0.0322336
  28. ema21 : 0.0323945
  29. ema50 : 0.0324742
  30. price_ema9_diff : -0.00795363
  31. ema9_ema21_diff : -0.00496587
  32. ema21_ema50_diff : -0.00245484
  33. all_emas_in_trend : True
  34. all_emas_and_price_in_trend : True
  35. rsi : 0.307874
  36. kc_percentage : -0.123372
  37. kc_width_percentage : 0.0205751
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 
    104268
  41. 5m_price_ema100_diff: 
    -0.00429057
  42. 5m_price: 
    103821
  43. 5m_correlation_with_coin: 
    0.540562
  44. btc_indicators
  45. 15m_ema100: 
    104249
  46. 15m_price_ema100_diff: 
    -0.00411186
  47. 15m_price: 
    103821
  48. btc_indicators
  49. 1H_ema100: 
    103135
  50. 1H_price_ema100_diff: 
    0.00664404
  51. 1H_price: 
    103821
    52. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
12 May 2025
08:01:07		 12 May 2025
08:20:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03198 0.03173 0.03235 1.48 0.007678
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 0.03198
  • Stop Loss: 0.03173
  • Take Profit: 0.03235

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03173 - 0.03198 = -0.00025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03198 - 0.03235 = -0.00037

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00037 / -0.00025 = 1.48

📌 Position Size

Amount Margin Quantity Leverage
1025.1426 100 32059.7523 10.25
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 -0.00025

Taille de position = 8 / -0.00025 = -32000

Taille de position USD = -32000 x 0.03198 = -1023.36

Donc, tu peux acheter -32000 avec un stoploss a 0.03173

Avec un position size USD de -1023.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -32000 x -0.00025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -32000 x -0.00037 = 11.84

Si Take Profit atteint, tu gagneras 11.84$

Résumé

  • Taille de position -32000
  • Taille de position USD -1023.36
  • Perte potentielle 8
  • Gain potentiel 11.84
  • Risk-Reward Ratio 1.48

📌 Peformances

TP % Target TP $ Target
1.16 % 11.86 $
SL % Target SL $ Target
0.78 % 8.01 $
PNL PNL %
11.86 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.03248
            [stop_loss] => 0.03173
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 08:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.032605
            [stop_loss] => 0.03173
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 08:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.03273
            [stop_loss] => 0.03173
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 08:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.032855
            [stop_loss] => 0.03173
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 09:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.03298
            [stop_loss] => 0.03173
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 09:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.033105
            [stop_loss] => 0.03173
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.03323
            [stop_loss] => 0.03173
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.033355
            [stop_loss] => 0.03173
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.03348
            [stop_loss] => 0.03173
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.033605
            [stop_loss] => 0.03173
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.03373
            [stop_loss] => 0.03173
            [rr_ratio] => 7
            [closed_at] => 2025-05-12 10:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001054
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.03303400
            [low] => 0.03200900
            [mfe_pct] => 3.3
            [mae_pct] => -0.09
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T08:01:07-04:00
            [end_at] => 2025-05-12T10:01:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.001054
            [max_drawdown] => 0.000758
            [rr_ratio] => 1.39
            [high] => 0.03303400
            [low] => 0.03122200
            [mfe_pct] => 3.3
            [mae_pct] => 2.37
            [mfe_mae_ratio] => 1.39
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T08:01:07-04:00
            [end_at] => 2025-05-12T14:01:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03307700
            [high_after] => 0.03303400
            [low_before] => 0.03191300
            [low_after] => 0.03122200
            [is_new_high] => 
            [is_new_low] => 
        )

)