Long Trade on AAVE 03 May 2025 at 21:48:54

Take profit at 176.6114 (0.86 %) and Stop Loss at 174.0924 (0.58 %)

Long Trade on AAVE

The 03 May 2025 at 21:48:54

With 7.9397 AAVE at 175.1$ per unit.

Position size of 1390.2348 $

Take profit at 176.6114 (0.86 %) and Stop Loss at 174.0924 (0.58 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 70
ML Pullback Score: 8
Prediction Score: 0.6453
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
1 n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.6717330374
Details
  1. score: 2.19
  2. 1H
  3. ema9 : 176.11
  4. ema21 : 175.088
  5. ema50 : 173.904
  6. price_ema9_diff : -0.00576958
  7. ema9_ema21_diff : 0.00583637
  8. ema21_ema50_diff : 0.00680621
  9. all_emas_in_trend : True
  10. all_emas_and_price_in_trend : False
  11. rsi : 0.508404
  12. kc_percentage : 0.495732
  13. kc_width_percentage : 0.0561562
  14. ¸
  15. 15m
  16. ema9 : 176.836
  17. ema21 : 176.878
  18. ema50 : 175.746
  19. price_ema9_diff : -0.00981469
  20. ema9_ema21_diff : -0.000242176
  21. ema21_ema50_diff : 0.00644207
  22. all_emas_in_trend : False
  23. all_emas_and_price_in_trend : False
  24. rsi : 0.418757
  25. kc_percentage : 0.125085
  26. kc_width_percentage : 0.0276391
  27. ¸
  28. 5m
  29. ema9 : 176.536
  30. ema21 : 177.017
  31. ema50 : 177.135
  32. price_ema9_diff : -0.00811378
  33. ema9_ema21_diff : -0.00271927
  34. ema21_ema50_diff : -0.000665456
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : True
  37. rsi : 0.318976
  38. kc_percentage : -0.187494
  39. kc_width_percentage : 0.015694
  40. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
03 May 2025
21:48:54
03 May 2025
21:55:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
175.1 174.0924 176.6114 1.5 112.2
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 175.1
  • Stop Loss: 174.0924
  • Take Profit: 176.6114

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 174.0924 - 175.1 = -1.0076

  • Récompense (distance jusqu'au take profit):

    E - TP = 175.1 - 176.6114 = -1.5114

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.5114 / -1.0076 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1390.2348 100 7.9397 13.90
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 -1.0076

Taille de position = 8 / -1.0076 = -7.94

Taille de position USD = -7.94 x 175.1 = -1390.29

Donc, tu peux acheter -7.94 avec un stoploss a 174.0924

Avec un position size USD de -1390.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7.94 x -1.0076 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7.94 x -1.5114 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -7.94
  • Taille de position USD -1390.29
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.86 % 12 $
SL % Target SL $ Target
0.58 % 8 $
PNL PNL %
11.91 $ 0.86
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 177.1
            [stop_loss] => 174.1
            [rr_ratio] => 2
            [closed_at] => 2025-05-03 22:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 177.6
            [stop_loss] => 174.1
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-03 22:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 178.1
            [stop_loss] => 174.1
            [rr_ratio] => 3
            [closed_at] => 2025-05-03 22:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 178.6
            [stop_loss] => 174.1
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-03 22:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 3.5
            [max_drawdown] => 0.22999999999999
            [rr_ratio] => 15.22
            [high] => 178.60000000
            [low] => 174.87000000
            [mfe_pct] => 2
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 15.22
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T21:48:54-04:00
            [end_at] => 2025-05-03T23:48:54-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 3.78
            [max_drawdown] => 0.22999999999999
            [rr_ratio] => 16.43
            [high] => 178.88000000
            [low] => 174.87000000
            [mfe_pct] => 2.16
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 16.43
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T21:48:54-04:00
            [end_at] => 2025-05-04T03:48:54-04:00
        )

    [breakout] => Array
        (
            [high_before] => 181.01000000
            [high_after] => 178.88000000
            [low_before] => 175.10000000
            [low_after] => 174.87000000
            [is_new_high] => 
            [is_new_low] => 
        )

)