Trade

buy - ALPACA

Status

loss

2025-03-30 10:13:33

1 minute

PNL

-1.81

Entry: 0.06072

Last: 0.05960000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.05
atr: 0.000733535

Details

score: 2.05
long_trend_details: ema9 - 0.0613038
long_trend_details: ema21 - 0.0579456
long_trend_details: ema50 - 0.0558443
long_trend_details: ema9_ema21_diff - 5.79546
long_trend_details: ema21_ema50_diff - 3.76264
long_trend_details: ema9_ema50_diff - 9.77617
long_trend_details: price_ema21_diff - 4.78789
long_trend_details: all_emas_in_trend - True
long_trend_details: all_emas_and_price_in_trend - False

Long Trade on ALPACA

The 30 Mar 2025 at 10:13:33

With 441.5 ALPACA at 0.06072$ per unit.

Take profit at 0.06237 (2.7 %) and Stop Loss at 0.05962 (1.8 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 12.86 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ALCH	2025-04-13 19:07:21	0.9677	-100	2
APT	2025-05-13 20:31:40	0.9676	40	1
DOT	2025-04-01 10:29:01	0.9671	100	3
EOS	2025-05-10 07:54:12	0.9674	-100	3
APE	2025-06-04 09:55:03	0.9655	60	1
BRETT	2025-04-26 07:51:59	0.9647	30	1
BNB	2025-05-13 20:31:08	0.9647	60	1

📌 Time Data

Start at	Closed at	Duration
30 Mar 2025 10:13:33	30 Mar 2025 10:15:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.06072	0.05962	0.06237	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 0.06072
Stop Loss: 0.05962
Take Profit: 0.06237

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05962 - 0.06072 = -0.0011
Récompense (distance jusqu'au take profit):

E - TP = 0.06072 - 0.06237 = -0.00165
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00165 / -0.0011 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
441.5	441.5	7271	4.41

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 -0.0011

Taille de position = 8 / -0.0011 = -7272.73

Taille de position USD = -7272.73 x 0.06072 = -441.6

Donc, tu peux acheter -7272.73 avec un stoploss a 0.05962

Avec un position size USD de -441.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -7272.73 x -0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -7272.73 x -0.00165 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -7272.73
Taille de position USD -441.6
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.7 %	12 $

SL % Target	SL $ Target
1.8 %	8 $

RR	PNL	PNL %	Max Drawdown
1.5	-8 $	-1.81	-2.504118616145

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06237
            [entry_price] => 0.06072
            [stop_loss] => 0.05951
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-30 10:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06237
            [entry_price] => 0.06072
            [stop_loss] => 0.0594
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-30 10:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06237
            [entry_price] => 0.06072
            [stop_loss] => 0.05929
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-30 10:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06237
            [entry_price] => 0.06072
            [stop_loss] => 0.05907
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-30 10:55:00
            [result] => loss
        )

)