Trade

buy - AAVE

Status

win

2025-04-17 15:40:33

34 minutes

PNL

0.87

Entry: 137.6

Last: 138.80000000

Results

Status:

win

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
Strong Trade	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 40

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.03
atr: 0.5395167619

Details

score: 2.03
1H
ema9 - 138.323
ema21 - 137.506
ema50 - 136.976
price_ema9_diff - -0.00541024
ema9_ema21_diff - 0.00594575
ema21_ema50_diff - 0.00386468
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.5116
kc_percentage - 0.501978
kc_width_percentage - 0.0608377
15m
ema9 - 138.758
ema21 - 138.77
ema50 - 138.117
price_ema9_diff - -0.00849547
ema9_ema21_diff - -8.15103E-5
ema21_ema50_diff - 0.00472509
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.432538
kc_percentage - 0.208903
kc_width_percentage - 0.0301784
5m
ema9 - 137.952
ema21 - 138.755
ema50 - 138.951
price_ema9_diff - -0.00268274
ema9_ema21_diff - -0.00579221
ema21_ema50_diff - -0.0014042
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.337688
kc_percentage - -0.0277032
kc_width_percentage - 0.0156689

Long Trade on AAVE

The 17 Apr 2025 at 15:40:33

With 1360 AAVE at 137.6$ per unit.

Take profit at 138.8 (0.87 %) and Stop Loss at 136.8 (0.58 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 33.21 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BTC	2025-04-17 15:33:40	0.9088	40	2
BRETT	2025-04-17 15:38:30	0.9031	80	1
SOL	2025-04-17 15:25:40	0.879	-87.5	4
TON	2025-04-17 15:38:06	0.8565	30	1
HBAR	2025-04-17 15:37:58	0.8547	70	1
STX	2025-05-21 14:01:04	0.8542	30	1
XLM	2025-04-17 15:30:38	0.8412	70	1

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 15:40:33	17 Apr 2025 16:15:00	34 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
137.6	136.8	138.8	1.5	256.5

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 137.6
Stop Loss: 136.8
Take Profit: 138.8

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 136.8 - 137.6 = -0.79999999999998
Récompense (distance jusqu'au take profit):

E - TP = 137.6 - 138.8 = -1.2
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.2 / -0.79999999999998 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1360	100	9.885	13.60

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 -0.79999999999998

Taille de position = 8 / -0.79999999999998 = -10

Taille de position USD = -10 x 137.6 = -1376

Donc, tu peux acheter -10 avec un stoploss a 136.8

Avec un position size USD de -1376$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10 x -0.79999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10 x -1.2 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -10
Taille de position USD -1376
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.87 %	12 $

SL % Target	SL $ Target
0.58 %	7.9 $

RR	PNL	PNL %	Max Drawdown
1.5	12 $	0.87	-0.28343023255813

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 139.2
            [stop_loss] => 136.8
            [rr_ratio] => 2
            [closed_at] => 2025-04-17 17:55:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)