Trade

sell - AAVE

Status
loss
2025-03-31 06:53:51
56 minutes
PNL
-0.61
Entry: 155.79
Last: 156.74550000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -100
ML Pullback Score: 0.39

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.18
  4. atr: 0.636983
Details
  1. score: 1.18
  2. long_trend_details
  3. ema9 - 157.667
  4. ema21 - 160.861
  5. ema50 - 165.296
  6. ema9_ema21_diff - -1.98503
  7. ema21_ema50_diff - -2.68326
  8. ema9_ema50_diff - -4.61504
  9. price_ema21_diff - -3.15241
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
  12. ¸

Short Trade on AAVE

The 31 Mar 2025 at 06:53:51

With 8.3728 AAVE at 155.79$ per unit.

Position size of 1304.399 $

Take profit at 154.3568 (0.92 %) and Stop Loss at 156.7455 (0.61 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -43.33 %

Symbol Start at Seach Score Trade Score Trades Count
TRB 2025-06-17 15:08:24 0.9624 -100 2
INIT 2025-04-27 14:16:17 0.9651 30 1
ALGO 2025-06-17 15:03:16 0.9584 -100 1
AI16Z 2025-04-04 10:02:07 0.9563 50 1
ETHFI 2025-06-17 15:07:22 0.9559 -100 1
NEIROETH 2025-06-19 13:48:00 0.9554 40 1
NEAR 2025-06-17 15:03:02 0.9551 -100 1
IP 2025-03-28 04:24:28 0.9546 -100 1
AVAX 2025-06-17 15:02:19 0.9541 -100 1
VIRTUAL 2025-06-17 15:17:48 0.954 30 1
TAIKO 2025-06-12 23:40:04 0.9534 30 2
LTC 2025-06-17 14:59:40 0.9535 -100 1

📌 Time Data

Start at Closed at Duration
31 Mar 2025
06:53:51
31 Mar 2025
07:50:00
56 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
155.79 156.7455 154.3568 1.5 304.32
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 155.79
  • Stop Loss: 156.7455
  • Take Profit: 154.3568

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 156.7455 - 155.79 = 0.9555

  • Récompense (distance jusqu'au take profit):

    E - TP = 155.79 - 154.3568 = 1.4332

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.4332 / 0.9555 = 1.4999

📌 Position Size

Amount Margin Quantity Leverage
1304.399 1304.399 8.3728 13.04
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 0.9555

Taille de position = 8 / 0.9555 = 8.37

Taille de position USD = 8.37 x 155.79 = 1303.96

Donc, tu peux acheter 8.37 avec un stoploss a 156.7455

Avec un position size USD de 1303.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8.37 x 0.9555 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8.37 x 1.4332 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8.37
  • Taille de position USD 1303.96
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.4999

📌 Peformances

TP % Target TP $ Target
0.92 % 12 $
SL % Target SL $ Target
0.61 % 8 $
PNL PNL %
-8 $ -0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.63547082611208 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 154.4
            [entry_price] => 155.8
            [stop_loss] => 156.79
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 08:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 154.4
            [entry_price] => 155.8
            [stop_loss] => 156.88
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 08:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 154.4
            [entry_price] => 155.8
            [stop_loss] => 156.97
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 08:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 154.4
            [entry_price] => 155.8
            [stop_loss] => 157.15
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.32
            [max_drawdown] => 3.74
            [rr_ratio] => 0.35
            [high] => 159.53000000
            [low] => 154.47000000
            [mfe_pct] => 0.85
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T08:53:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.32
            [max_drawdown] => 7.19
            [rr_ratio] => 0.18
            [high] => 162.98000000
            [low] => 154.47000000
            [mfe_pct] => 0.85
            [mae_pct] => 4.62
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T12:53:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 160.09000000
            [high_after] => 162.98000000
            [low_before] => 151.77000000
            [low_after] => 154.47000000
            [is_new_high] => 
            [is_new_low] => 
        )

)