Trade

sell - AAVE

Status
loss
2025-03-31 07:53:53
46 minutes
PNL
-0.59
Entry: 156.27
Last: 157.18590000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.43

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.610594
Details
  1. score: 1.01
  2. long_trend_details
  3. ema9 - 157.212
  4. ema21 - 160.363
  5. ema50 - 164.908
  6. ema9_ema21_diff - -1.96513
  7. ema21_ema50_diff - -2.75615
  8. ema9_ema50_diff - -4.66712
  9. price_ema21_diff - -2.55272
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - True
  12. ¸

Short Trade on AAVE

The 31 Mar 2025 at 07:53:53

With 8.7347 AAVE at 156.27$ per unit.

Position size of 1364.9659 $

Take profit at 154.8962 (0.88 %) and Stop Loss at 157.1859 (0.59 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.5 %

Symbol Start at Seach Score Trade Score Trades Count
MELANIA 2025-04-28 00:37:24 0.967 -100 1
RESOLV 2025-06-17 15:34:57 0.9648 30 1
TRB 2025-06-17 15:48:05 0.964 50 2
MOVE 2025-07-24 04:29:25 0.963 -100 1
GALA 2025-05-17 00:34:40 0.9624 -35 2
ARC 2025-06-17 15:33:42 0.962 30 1
ORDI 2025-05-03 09:31:16 0.9619 30 1
IP 2025-03-28 05:14:32 0.9614 -100 1
ICP 2025-06-17 15:51:23 0.9613 40 1
ZRO 2025-05-17 00:25:53 0.9608 -100 3

📌 Time Data

Start at Closed at Duration
31 Mar 2025
07:53:53
31 Mar 2025
08:40:00
46 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
156.27 157.1859 154.8962 1.5 289.87
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 156.27
  • Stop Loss: 157.1859
  • Take Profit: 154.8962

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 157.1859 - 156.27 = 0.91589999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 156.27 - 154.8962 = 1.3738

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 1.3738 / 0.91589999999999 = 1.4999

📌 Position Size

Amount Margin Quantity Leverage
1364.9659 1364.9659 8.7347 13.65
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 0.91589999999999

Taille de position = 8 / 0.91589999999999 = 8.73

Taille de position USD = 8.73 x 156.27 = 1364.24

Donc, tu peux acheter 8.73 avec un stoploss a 157.1859

Avec un position size USD de 1364.24$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8.73 x 0.91589999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8.73 x 1.3738 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 8.73
  • Taille de position USD 1364.24
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.4999

📌 Peformances

TP % Target TP $ Target
0.88 % 12 $
SL % Target SL $ Target
0.59 % 8 $
PNL PNL %
-8 $ -0.59
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.81909515582006 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 154.9
            [entry_price] => 156.3
            [stop_loss] => 157.29
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 154.9
            [entry_price] => 156.3
            [stop_loss] => 157.38
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 154.9
            [entry_price] => 156.3
            [stop_loss] => 157.47
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 154.9
            [entry_price] => 156.3
            [stop_loss] => 157.65
            [rr_ratio] => 1.04
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 08:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.27
            [max_drawdown] => 3.26
            [rr_ratio] => 0.39
            [high] => 159.53000000
            [low] => 155.00000000
            [mfe_pct] => 0.81
            [mae_pct] => 2.09
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T07:53:53-04:00
            [end_at] => 2025-03-31T09:53:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 1.27
            [max_drawdown] => 6.71
            [rr_ratio] => 0.19
            [high] => 162.98000000
            [low] => 155.00000000
            [mfe_pct] => 0.81
            [mae_pct] => 4.29
            [mfe_mae_ratio] => 0.19
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T07:53:53-04:00
            [end_at] => 2025-03-31T13:53:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 157.50000000
            [high_after] => 162.98000000
            [low_before] => 151.77000000
            [low_after] => 155.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)