Short Trade on ALPACA

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Short Trade on ALPACA 24 Apr 2025 at 09:32:10

Take profit at 0.04075 (5.89 %) and Stop Loss at 0.045 (3.93 %)

Short Trade on ALPACA

The 24 Apr 2025 at 09:32:10

With 4699.118 ALPACA at 0.0433$ per unit.

Position size of 203.4718 $

Take profit at 0.04075 (5.89 %) and Stop Loss at 0.045 (3.93 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.05

Prediction Score: 0

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: 0.16
atr: 0.00113496476

Details

score: 1.16
1H
ema9 : 0.0426744
ema21 : 0.0434068
ema50 : 0.0436367
price_ema9_diff : 0.0144114
ema9_ema21_diff : -0.0168741
ema21_ema50_diff : -0.0052676
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.498618
kc_percentage : 0.496735
kc_width_percentage : 0.68294
15m
ema9 : 0.0408254
ema21 : 0.0416708
ema50 : 0.0432573
price_ema9_diff : 0.0593842
ema9_ema21_diff : -0.0202878
ema21_ema50_diff : -0.0366757
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.529862
kc_percentage : 0.669301
kc_width_percentage : 0.235044
5m
ema9 : 0.0403216
ema21 : 0.0401134
ema50 : 0.041548
price_ema9_diff : 0.0742488
ema9_ema21_diff : 0.0051894
ema21_ema50_diff : -0.0345282
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.70561
kc_percentage : 1.15826
kc_width_percentage : 0.112075

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 09:32:10	24 Apr 2025 09:35:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0433	0.045	0.04075	1.5	0.2324

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 0.0433
Stop Loss: 0.045
Take Profit: 0.04075

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.045 - 0.0433 = 0.0017
Récompense (distance jusqu'au take profit):

E - TP = 0.0433 - 0.04075 = 0.00255
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00255 / 0.0017 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
203.4718	100	4699.118	2.03

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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.0433 = 203.76

Donc, tu peux acheter 4705.88 avec un stoploss a 0.045

Avec un position size USD de 203.76$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.00255 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 4705.88
Taille de position USD 203.76
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
5.89 %	11.98 $

SL % Target	SL $ Target
3.93 %	7.99 $

PNL	PNL %
-7.99 $	-3.93

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-5.635103926097 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04075
            [entry_price] => 0.0433
            [stop_loss] => 0.04517
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 09:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04075
            [entry_price] => 0.0433
            [stop_loss] => 0.04534
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 09:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04075
            [entry_price] => 0.0433
            [stop_loss] => 0.04551
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 09:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04075
            [entry_price] => 0.0433
            [stop_loss] => 0.04585
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 09:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.02763
            [rr_ratio] => 0.04
            [high] => 0.07093000
            [low] => 0.04220000
            [mfe_pct] => 2.54
            [mae_pct] => 63.81
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T09:32:10-04:00
            [end_at] => 2025-04-24T11:32:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0011
            [max_drawdown] => 0.0417
            [rr_ratio] => 0.03
            [high] => 0.08500000
            [low] => 0.04220000
            [mfe_pct] => 2.54
            [mae_pct] => 96.3
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T09:32:10-04:00
            [end_at] => 2025-04-24T15:32:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04566000
            [high_after] => 0.08500000
            [low_before] => 0.03858000
            [low_after] => 0.04220000
            [is_new_high] => 
            [is_new_low] => 
        )

)