Long Trade on AAVE

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Long Trade on AAVE 23 Apr 2025 at 23:51:05

Take profit at 166.9023 (1.05 %) and Stop Loss at 163.9985 (0.7 %)

Long Trade on AAVE

The 23 Apr 2025 at 23:51:05

With 6.8876 AAVE at 165.16$ per unit.

Position size of 1137.5514 $

Take profit at 166.9023 (1.05 %) and Stop Loss at 163.9985 (0.7 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.78

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.12
atr: 0.7743415758

Details

score: 2.12
1H
ema9 : 166.802
ema21 : 165.123
ema50 : 159.533
price_ema9_diff : -0.00994534
ema9_ema21_diff : 0.0101677
ema21_ema50_diff : 0.0350405
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.535915
kc_percentage : 0.485815
kc_width_percentage : 0.0641768
15m
ema9 : 167.1
ema21 : 167.388
ema50 : 166.725
price_ema9_diff : -0.0115917
ema9_ema21_diff : -0.00172218
ema21_ema50_diff : 0.00397912
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.402258
kc_percentage : 0.0969848
kc_width_percentage : 0.033619
5m
ema9 : 166.269
ema21 : 167.131
ema50 : 167.51
price_ema9_diff : -0.00663952
ema9_ema21_diff : -0.00515497
ema21_ema50_diff : -0.0022667
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.331127
kc_percentage : -0.118592
kc_width_percentage : 0.0188555

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 23:51:05	24 Apr 2025 02:00:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
165.16	163.9985	166.9023	1.5	112.97

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 165.16
Stop Loss: 163.9985
Take Profit: 166.9023

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 163.9985 - 165.16 = -1.1615
Récompense (distance jusqu'au take profit):

E - TP = 165.16 - 166.9023 = -1.7423
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.7423 / -1.1615 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1137.5514	100	6.8876	11.38

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 -1.1615

Taille de position = 8 / -1.1615 = -6.89

Taille de position USD = -6.89 x 165.16 = -1137.95

Donc, tu peux acheter -6.89 avec un stoploss a 163.9985

Avec un position size USD de -1137.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6.89 x -1.1615 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6.89 x -1.7423 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -6.89
Taille de position USD -1137.95
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.05 %	12 $

SL % Target	SL $ Target
0.7 %	8 $

PNL	PNL %
-8.26 $	-0.73

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.72639225181597 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 166.9
            [entry_price] => 165.2
            [stop_loss] => 163.88
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 02:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 166.9
            [entry_price] => 165.2
            [stop_loss] => 163.76
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 02:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 166.9
            [entry_price] => 165.2
            [stop_loss] => 163.64
            [rr_ratio] => 1.09
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 02:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 166.9
            [entry_price] => 165.2
            [stop_loss] => 163.4
            [rr_ratio] => 0.94
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 03:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.94
            [max_drawdown] => 1.08
            [rr_ratio] => 0.87
            [high] => 166.10000000
            [low] => 164.08000000
            [mfe_pct] => 0.57
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 0.87
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T23:51:05-04:00
            [end_at] => 2025-04-24T01:51:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.94
            [max_drawdown] => 6.87
            [rr_ratio] => 0.14
            [high] => 166.10000000
            [low] => 158.29000000
            [mfe_pct] => 0.57
            [mae_pct] => 4.16
            [mfe_mae_ratio] => 0.14
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T23:51:05-04:00
            [end_at] => 2025-04-24T05:51:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 170.56000000
            [high_after] => 166.10000000
            [low_before] => 164.81000000
            [low_after] => 158.29000000
            [is_new_high] => 
            [is_new_low] => 
        )

)