Long Trade on AVAAI

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Long Trade on AVAAI 04 May 2025 at 15:55:46

Take profit at 0.08624 (2.52 %) and Stop Loss at 0.08271 (1.68 %)

Long Trade on AVAAI

The 04 May 2025 at 15:55:46

With 5659.0588 AVAAI at 0.08412$ per unit.

Position size of 476.04 $

Take profit at 0.08624 (2.52 %) and Stop Loss at 0.08271 (1.68 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.17

Prediction Score: -1.9039

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	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: 0.1
atr: 0.000942441767

Details

score: 2.1
1H
ema9 : 0.0831442
ema21 : 0.0786019
ema50 : 0.0739664
price_ema9_diff : 0.0124141
ema9_ema21_diff : 0.0577876
ema21_ema50_diff : 0.0626713
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.64718
kc_percentage : 0.885368
kc_width_percentage : 0.162295
15m
ema9 : 0.0862961
ema21 : 0.0853353
ema50 : 0.0812153
price_ema9_diff : -0.0255013
ema9_ema21_diff : 0.0112589
ema21_ema50_diff : 0.0507295
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.485888
kc_percentage : 0.322031
kc_width_percentage : 0.0905667
5m
ema9 : 0.0856175
ema21 : 0.0863456
ema50 : 0.0860033
price_ema9_diff : -0.0173432
ema9_ema21_diff : -0.00843309
ema21_ema50_diff : 0.00397979
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.317267
kc_percentage : -0.100566
kc_width_percentage : 0.0434567

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 15:55:46	04 May 2025 16:10:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.08412	0.08271	0.08624	1.5	0.01089

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 0.08412
Stop Loss: 0.08271
Take Profit: 0.08624

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08271 - 0.08412 = -0.00141
Récompense (distance jusqu'au take profit):

E - TP = 0.08412 - 0.08624 = -0.00212
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00212 / -0.00141 = 1.5035

📌 Position Size

Amount	Margin	Quantity	Leverage
476.04	100	5659.0588	4.76

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 -0.00141

Taille de position = 8 / -0.00141 = -5673.76

Taille de position USD = -5673.76 x 0.08412 = -477.28

Donc, tu peux acheter -5673.76 avec un stoploss a 0.08271

Avec un position size USD de -477.28$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5673.76 x -0.00141 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5673.76 x -0.00212 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position -5673.76
Taille de position USD -477.28
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5035

📌 Peformances

TP % Target	TP $ Target
2.52 %	12 $

SL % Target	SL $ Target
1.68 %	7.98 $

PNL	PNL %
-7.98 $	-1.68

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.9838326200666 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.08412
            [stop_loss] => 0.082569
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 16:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.08412
            [stop_loss] => 0.082428
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 16:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.08412
            [stop_loss] => 0.082287
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 16:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.08412
            [stop_loss] => 0.082005
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 16:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00104
            [max_drawdown] => 0.00295
            [rr_ratio] => 0.35
            [high] => 0.08516000
            [low] => 0.08117000
            [mfe_pct] => 1.24
            [mae_pct] => 3.51
            [mfe_mae_ratio] => 0.35
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T15:55:46-04:00
            [end_at] => 2025-05-04T17:55:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00441
            [max_drawdown] => 0.00295
            [rr_ratio] => 1.49
            [high] => 0.08853000
            [low] => 0.08117000
            [mfe_pct] => 5.24
            [mae_pct] => 3.51
            [mfe_mae_ratio] => 1.49
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T15:55:46-04:00
            [end_at] => 2025-05-04T21:55:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09101000
            [high_after] => 0.08853000
            [low_before] => 0.08300000
            [low_after] => 0.08117000
            [is_new_high] => 
            [is_new_low] => 
        )

)