Trade

buy - AAVE

Status

win

2025-06-16 07:18:47

16 minutes

PNL

0.95

Entry: 283

Last: 285.70000000

Results

Status:

win

Trade Type:

buy

Prediction Score: -0.1083

Prediction 1	Accuracy
Weak Trade	0.71

Prediction 2	Accuracy
0	0.48

ML Trade Score: 110

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.06
atr: 1.203966495

Details

score: 2.06
1H
ema9 - 283.645
ema21 - 280.307
ema50 - 278.853
ema100 - 281.309
price_ema9_diff - -0.00223938
ema9_ema21_diff - 0.011908
ema21_ema50_diff - 0.00521437
price_ema100_diff - 0.0060454
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.570648
kc_percentage - 0.652304
kc_width_percentage - 0.0584318
volume_ema_diff - 0.0439894
15m
ema9 - 285.525
ema21 - 285.427
ema50 - 282.361
ema100 - 279.319
price_ema9_diff - -0.00880985
ema9_ema21_diff - 0.000344215
ema21_ema50_diff - 0.010859
price_ema100_diff - 0.0132119
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.437272
kc_percentage - 0.191656
kc_width_percentage - 0.0286607
volume_ema_diff - -0.0439511
5m
ema9 - 284.702
ema21 - 285.853
ema50 - 286.113
ema100 - 284.672
price_ema9_diff - -0.0059436
ema9_ema21_diff - -0.00402871
ema21_ema50_diff - -0.000908249
price_ema100_diff - -0.00584029
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.334835
kc_percentage - -0.0648546
kc_width_percentage - 0.0174434
volume_ema_diff - 0.350073
btc_indicators
btc_indicators
5m_ema100: 106623
5m_price_ema100_diff: 1.31043E-6
5m_price: 106623
5m_correlation_with_coin: 0.282693
btc_indicators
15m_ema100: 105955
15m_price_ema100_diff: 0.00630214
15m_price: 106623
btc_indicators
1H_ema100: 105853
1H_price_ema100_diff: 0.00727085
1H_price: 106623

Long Trade on AAVE

The 16 Jun 2025 at 07:18:47

With 4.43 AAVE at 283$ per unit.

Position size of 1254 $

Take profit at 285.7 (0.95 %) and Stop Loss at 281.2 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -52.14 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ETH	2025-06-16 07:22:15	0.9786	-25	2
AVAX	2025-06-16 07:11:48	0.978	-100	3
WLD	2025-06-16 07:12:24	0.9729	-30	2
LINK	2025-06-16 07:18:00	0.9749	-70	1
ONDO	2025-06-16 07:09:50	0.974	-70	2
BGB	2025-06-16 07:14:38	0.9695	30	1
BTC	2025-06-16 07:17:06	0.9691	-100	1

📌 Time Data

Start at	Closed at	Duration
16 Jun 2025 07:18:47	16 Jun 2025 07:35:00	16 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
283	281.2	285.7	1.5	274.8

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 283
Stop Loss: 281.2
Take Profit: 285.7

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 281.2 - 283 = -1.8
Récompense (distance jusqu'au take profit):

E - TP = 283 - 285.7 = -2.7
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -2.7 / -1.8 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1254	100	4.43	12.54

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 -1.8

Taille de position = 8 / -1.8 = -4.44

Taille de position USD = -4.44 x 283 = -1256.52

Donc, tu peux acheter -4.44 avec un stoploss a 281.2

Avec un position size USD de -1256.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.44 x -1.8 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.44 x -2.7 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position -4.44
Taille de position USD -1256.52
Perte potentielle 7.99
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 %
12 $	0.95

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.4558 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 286.6
            [stop_loss] => 281.2
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 287.5
            [stop_loss] => 281.2
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 08:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 288.4
            [stop_loss] => 281.2
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 09:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 289.3
            [stop_loss] => 281.2
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 09:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 290.2
            [stop_loss] => 281.2
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 09:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 291.1
            [stop_loss] => 281.2
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 09:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 292
            [stop_loss] => 281.2
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 292.9
            [stop_loss] => 281.2
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)