Short Trade on AVAX

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Short Trade on AVAX 30 Apr 2025 at 21:07:22

Take profit at 20.991 (0.62 %) and Stop Loss at 21.2093 (0.41 %)

Short Trade on AVAX

The 30 Apr 2025 at 21:07:22

With 91.6123 AVAX at 21.122$ per unit.

Position size of 1935.0356 $

Take profit at 20.991 (0.62 %) and Stop Loss at 21.2093 (0.41 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.6

Prediction Score: 0.4533

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.04
atr: 0.05821632731

Details

score: 1.04
1H
ema9 : 21.0123
ema21 : 21.1611
ema50 : 21.4534
price_ema9_diff : 0.0051809
ema9_ema21_diff : -0.00703167
ema21_ema50_diff : -0.0136232
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.463488
kc_percentage : 0.475424
kc_width_percentage : 0.0488279
15m
ema9 : 20.995
ema21 : 20.9889
ema50 : 21.0561
price_ema9_diff : 0.00605021
ema9_ema21_diff : 0.000290754
ema21_ema50_diff : -0.0031935
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.5828
kc_percentage : 0.800794
kc_width_percentage : 0.0210193
5m
ema9 : 21.035
ema21 : 20.9952
ema50 : 20.9849
price_ema9_diff : 0.00414311
ema9_ema21_diff : 0.0018946
ema21_ema50_diff : 0.000492436
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.658159
kc_percentage : 1.03805
kc_width_percentage : 0.0110225

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 21:07:22	30 Apr 2025 21:15:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
21.122	21.2093	20.991	1.5	9.022

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 21.122
Stop Loss: 21.2093
Take Profit: 20.991

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 21.2093 - 21.122 = 0.087299999999999
Récompense (distance jusqu'au take profit):

E - TP = 21.122 - 20.991 = 0.131
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.131 / 0.087299999999999 = 1.5006

📌 Position Size

Amount	Margin	Quantity	Leverage
1935.0356	100	91.6123	19.35

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 0.087299999999999

Taille de position = 8 / 0.087299999999999 = 91.64

Taille de position USD = 91.64 x 21.122 = 1935.62

Donc, tu peux acheter 91.64 avec un stoploss a 21.2093

Avec un position size USD de 1935.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 91.64 x 0.087299999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 91.64 x 0.131 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 91.64
Taille de position USD 1935.62
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5006

📌 Peformances

TP % Target	TP $ Target
0.62 %	12 $

SL % Target	SL $ Target
0.41 %	8 $

PNL	PNL %
-8.25 $	-0.43

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.56344696969697 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 20.99
            [entry_price] => 21.12
            [stop_loss] => 21.219
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 21:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 20.99
            [entry_price] => 21.12
            [stop_loss] => 21.228
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 21:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 20.99
            [entry_price] => 21.12
            [stop_loss] => 21.237
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 21:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 20.99
            [entry_price] => 21.12
            [stop_loss] => 21.255
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 22:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.079999999999998
            [max_drawdown] => 0.158
            [rr_ratio] => 0.51
            [high] => 21.28000000
            [low] => 21.04200000
            [mfe_pct] => 0.38
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 0.51
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T21:07:22-04:00
            [end_at] => 2025-04-30T23:07:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.315
            [max_drawdown] => 0.158
            [rr_ratio] => 1.99
            [high] => 21.28000000
            [low] => 20.80700000
            [mfe_pct] => 1.49
            [mae_pct] => 0.75
            [mfe_mae_ratio] => 1.99
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T21:07:22-04:00
            [end_at] => 2025-05-01T03:07:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 21.16900000
            [high_after] => 21.28000000
            [low_before] => 20.80000000
            [low_after] => 20.80700000
            [is_new_high] => 
            [is_new_low] => 
        )

)