Short Trade on AVAX

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Short Trade on AVAX 27 Apr 2025 at 15:24:49

Take profit at 21.8921 (0.54 %) and Stop Loss at 22.092 (0.36 %)

Short Trade on AVAX

The 27 Apr 2025 at 15:24:49

With 100.0545 AVAX at 22.012$ per unit.

Position size of 2202.3996 $

Take profit at 21.8921 (0.54 %) and Stop Loss at 22.092 (0.36 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 5.46

Prediction Score: 0.9004

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 0.05330428456

Details

score: 1.01
1H
ema9 : 21.9751
ema21 : 22.0776
ema50 : 22.1682
price_ema9_diff : 0.00166789
ema9_ema21_diff : -0.00464058
ema21_ema50_diff : -0.00408973
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.46887
kc_percentage : 0.435279
kc_width_percentage : 0.0419671
15m
ema9 : 21.9067
ema21 : 21.9094
ema50 : 22.0108
price_ema9_diff : 0.00480242
ema9_ema21_diff : -0.000122776
ema21_ema50_diff : -0.00460789
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.554001
kc_percentage : 0.741206
kc_width_percentage : 0.0199124
5m
ema9 : 21.9544
ema21 : 21.9023
ema50 : 21.8872
price_ema9_diff : 0.00262655
ema9_ema21_diff : 0.00237874
ema21_ema50_diff : 0.000692295
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.662229
kc_percentage : 1.01115
kc_width_percentage : 0.009488

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 15:24:49	27 Apr 2025 15:30:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
22.012	22.092	21.8921	1.5	9.164

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 22.012
Stop Loss: 22.092
Take Profit: 21.8921

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 22.092 - 22.012 = 0.079999999999998
Récompense (distance jusqu'au take profit):

E - TP = 22.012 - 21.8921 = 0.1199
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.1199 / 0.079999999999998 = 1.4988

📌 Position Size

Amount	Margin	Quantity	Leverage
2202.3996	100	100.0545	22.02

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 0.079999999999998

Taille de position = 8 / 0.079999999999998 = 100

Taille de position USD = 100 x 22.012 = 2201.2

Donc, tu peux acheter 100 avec un stoploss a 22.092

Avec un position size USD de 2201.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100 x 0.079999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100 x 0.1199 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position 100
Taille de position USD 2201.2
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.4988

📌 Peformances

TP % Target	TP $ Target
0.54 %	12 $

SL % Target	SL $ Target
0.36 %	8 $

PNL	PNL %
-8.01 $	-0.36

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.39981826442525 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 21.89
            [entry_price] => 22.01
            [stop_loss] => 22.098
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 15:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 21.89
            [entry_price] => 22.01
            [stop_loss] => 22.106
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 15:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 21.89
            [entry_price] => 22.01
            [stop_loss] => 22.114
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 15:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 21.89
            [entry_price] => 22.01
            [stop_loss] => 22.13
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 15:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.077000000000002
            [max_drawdown] => 0.143
            [rr_ratio] => 0.54
            [high] => 22.15500000
            [low] => 21.93500000
            [mfe_pct] => 0.35
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T15:24:49-04:00
            [end_at] => 2025-04-27T17:24:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.733
            [max_drawdown] => 0.143
            [rr_ratio] => 5.13
            [high] => 22.15500000
            [low] => 21.27900000
            [mfe_pct] => 3.33
            [mae_pct] => 0.65
            [mfe_mae_ratio] => 5.13
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T15:24:49-04:00
            [end_at] => 2025-04-27T21:24:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 22.02600000
            [high_after] => 22.15500000
            [low_before] => 21.65600000
            [low_after] => 21.27900000
            [is_new_high] => 
            [is_new_low] => 1
        )

)