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Trade

sell - VET

Status
win
2025-05-13 00:59:55
30 minutes
PNL
0.97
Entry: 0.03004
Last: 0.02975000

Results

Status:
win
Trade Type:
sell
Prediction Score: -1.7961
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.62
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.0001272075794
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 0.0302763
  4. ema21 - 0.0308344
  5. ema50 - 0.031057
  6. ema100 - 0.0307372
  7. price_ema9_diff - -0.00780484
  8. ema9_ema21_diff - -0.0181001
  9. ema21_ema50_diff - -0.00716792
  10. price_ema100_diff - -0.0226838
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.399396
  14. kc_percentage - 0.192506
  15. kc_width_percentage - 0.0829421
    16. ¸
  16. 15m
  17. ema9 - 0.0297668
  18. ema21 - 0.0299845
  19. ema50 - 0.0305269
  20. ema100 - 0.0310334
  21. price_ema9_diff - 0.0091752
  22. ema9_ema21_diff - -0.00725811
  23. ema21_ema50_diff - -0.0177683
  24. price_ema100_diff - -0.0320111
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.48182
  28. kc_percentage - 0.578672
  29. kc_width_percentage - 0.0325991
    30. ¸
  30. 5m
  31. ema9 - 0.0298575
  32. ema21 - 0.0297533
  33. ema50 - 0.0298974
  34. ema100 - 0.0301844
  35. price_ema9_diff - 0.00610984
  36. ema9_ema21_diff - 0.00350442
  37. ema21_ema50_diff - -0.00482111
  38. price_ema100_diff - -0.0047868
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.65635
  42. kc_percentage - 1.08406
  43. kc_width_percentage - 0.0162413
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102299
  47. 5m_price_ema100_diff: 0.00391115
  48. 5m_price: 102700
  49. 5m_correlation_with_coin: 0.754335
  50. btc_indicators
  51. 15m_ema100: 102857
  52. 15m_price_ema100_diff: -0.00153007
  53. 15m_price: 102700
  54. btc_indicators
  55. 1H_ema100: 103351
  56. 1H_price_ema100_diff: -0.00630773
  57. 1H_price: 102700
    58. ¸

Short Trade on VET

The 13 May 2025 at 00:59:55

With 41930 VET at 0.03004$ per unit.

Position size of 1259 $

Take profit at 0.02975 (0.97 %) and Stop Loss at 0.03023 (0.63 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -45 %

Symbol Start at Seach Score Trade Score Trades Count
ALGO 2025-05-13 01:02:22 0.9798 -35 2
NOT 2025-05-13 01:04:34 0.9801 -100 2
TON 2025-05-13 01:03:28 0.9756 -100 2
ENA 2025-05-13 01:01:16 0.9774 -100 1
APT 2025-05-13 00:59:25 0.9772 30 1
POL 2025-05-13 01:02:26 0.9763 50 1
EOS 2025-05-13 00:57:42 0.9758 30 1
REZ 2025-05-13 01:07:29 0.9748 -100 1
UNI 2025-05-13 00:58:09 0.9722 30 1
STX 2025-05-13 00:59:44 0.9712 -100 1
BERA 2025-05-13 00:53:35 0.9711 -100 1

📌 Time Data

Start at Closed at Duration
13 May 2025
00:59:55		 13 May 2025
01:30:00		 30 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03004 0.03023 0.02975 1.5 0.0207
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 0.03004
  • Stop Loss: 0.03023
  • Take Profit: 0.02975

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03023 - 0.03004 = 0.00019

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03004 - 0.02975 = 0.00029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00029 / 0.00019 = 1.5263

📌 Position Size

Amount Margin Quantity Leverage
1259 100 41930 12.59
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 0.00019

Taille de position = 8 / 0.00019 = 42105.26

Taille de position USD = 42105.26 x 0.03004 = 1264.84

Donc, tu peux acheter 42105.26 avec un stoploss a 0.03023

Avec un position size USD de 1264.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 42105.26 x 0.00019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 42105.26 x 0.00029 = 12.21

Si Take Profit atteint, tu gagneras 12.21$

Résumé

  • Taille de position 42105.26
  • Taille de position USD 1264.84
  • Perte potentielle 8
  • Gain potentiel 12.21
  • Risk-Reward Ratio 1.5263

📌 Peformances

TP % Target TP $ Target
0.97 % 12 $
SL % Target SL $ Target
0.63 % 8 $
PNL PNL %
12 $ 0.97
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.36950732356858 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02966
            [stop_loss] => 0.03023
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.029565
            [stop_loss] => 0.03023
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.02947
            [stop_loss] => 0.03023
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.029375
            [stop_loss] => 0.03023
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02928
            [stop_loss] => 0.03023
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.029185
            [stop_loss] => 0.03023
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02909
            [stop_loss] => 0.03023
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.028995
            [stop_loss] => 0.03023
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0289
            [stop_loss] => 0.03023
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.028805
            [stop_loss] => 0.03023
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02871
            [stop_loss] => 0.03023
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 03:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)