Short Trade on AAVE

The 31 Mar 2025 at 08:54:24

With 7.9933 AAVE at 157.58$ per unit.

Position size of 1259.5908 $

Take profit at 156.0788 (0.95 %) and Stop Loss at 158.5808 (0.64 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.69

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 0.667222

Details

score: 1.03
long_trend_details
ema9 - 157.025
ema21 - 159.992
ema50 - 164.567
ema9_ema21_diff - -1.85419
ema21_ema50_diff - -2.77995
ema9_ema50_diff - -4.58259
price_ema21_diff - -1.50781
all_emas_in_trend - True
all_emas_and_price_in_trend - False

📌 Time Data

Start at	Closed at	Duration
31 Mar 2025 08:54:24	31 Mar 2025 08:55:00	36 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
157.58	158.5808	156.0788	1.5	194.8

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 157.58
Stop Loss: 158.5808
Take Profit: 156.0788

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 158.5808 - 157.58 = 1.0008
Récompense (distance jusqu'au take profit):

E - TP = 157.58 - 156.0788 = 1.5012
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.5012 / 1.0008 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1259.5908	1259.5908	7.9933	12.60

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 1.0008

Taille de position = 8 / 1.0008 = 7.99

Taille de position USD = 7.99 x 157.58 = 1259.06

Donc, tu peux acheter 7.99 avec un stoploss a 158.5808

Avec un position size USD de 1259.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7.99 x 1.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7.99 x 1.5012 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 7.99
Taille de position USD 1259.06
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.95 %	12 $

SL % Target	SL $ Target
0.64 %	8 $

PNL	PNL %
-8 $	-0.64

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.92651351694376 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 156.1
            [entry_price] => 157.6
            [stop_loss] => 158.7
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 08:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 156.1
            [entry_price] => 157.6
            [stop_loss] => 158.8
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 08:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 156.1
            [entry_price] => 157.6
            [stop_loss] => 158.9
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 08:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 156.1
            [entry_price] => 157.6
            [stop_loss] => 159.1
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 09:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.45
            [max_drawdown] => 4.63
            [rr_ratio] => 0.53
            [high] => 162.21000000
            [low] => 155.13000000
            [mfe_pct] => 1.55
            [mae_pct] => 2.94
            [mfe_mae_ratio] => 0.53
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T08:54:24-04:00
            [end_at] => 2025-03-31T10:54:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.45
            [max_drawdown] => 5.4
            [rr_ratio] => 0.45
            [high] => 162.98000000
            [low] => 155.13000000
            [mfe_pct] => 1.55
            [mae_pct] => 3.43
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T08:54:24-04:00
            [end_at] => 2025-03-31T14:54:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 159.53000000
            [high_after] => 162.98000000
            [low_before] => 151.77000000
            [low_after] => 155.13000000
            [is_new_high] => 
            [is_new_low] => 
        )

)