Long Trade on ALPACA

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Long Trade on ALPACA 30 Mar 2025 at 10:23:32

Take profit at 0.06182 (2.96 %) and Stop Loss at 0.05886 (1.97 %)

Long Trade on ALPACA

The 30 Mar 2025 at 10:23:32

With 6753.8504 ALPACA at 0.06004$ per unit.

Position size of 405.5012 $

Take profit at 0.06182 (2.96 %) and Stop Loss at 0.05886 (1.97 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.07

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	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: 0.05
atr: 0.000789673

Details

score: 2.05
long_trend_details
ema9 : 0.0613038
ema21 : 0.0579456
ema50 : 0.0558443
ema9_ema21_diff : 5.79546
ema21_ema50_diff : 3.76264
ema9_ema50_diff : 9.77617
price_ema21_diff : 3.61437
all_emas_in_trend : True
all_emas_and_price_in_trend : False

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Mar 2025 10:23:32	30 Mar 2025 10:55:00	31 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.06004	0.05886	0.06182	1.51	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 0.06004
Stop Loss: 0.05886
Take Profit: 0.06182

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05886 - 0.06004 = -0.00118
Récompense (distance jusqu'au take profit):

E - TP = 0.06004 - 0.06182 = -0.00178
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00178 / -0.00118 = 1.5085

📌 Position Size

Amount	Margin	Quantity	Leverage
405.5012	405.5012	6753.8504	4.06

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 -0.00118

Taille de position = 8 / -0.00118 = -6779.66

Taille de position USD = -6779.66 x 0.06004 = -407.05

Donc, tu peux acheter -6779.66 avec un stoploss a 0.05886

Avec un position size USD de -407.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6779.66 x -0.00118 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6779.66 x -0.00178 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

Taille de position -6779.66
Taille de position USD -407.05
Perte potentielle 8
Gain potentiel 12.07
Risk-Reward Ratio 1.5085

📌 Peformances

TP % Target	TP $ Target
2.96 %	12.02 $

SL % Target	SL $ Target
1.97 %	7.97 $

PNL	PNL %
-7.43 $	-1.83

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-5.7666666666667 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06182
            [entry_price] => 0.06004
            [stop_loss] => 0.058742
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-30 10:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06182
            [entry_price] => 0.06004
            [stop_loss] => 0.058624
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-30 10:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06182
            [entry_price] => 0.06004
            [stop_loss] => 0.058506
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-30 10:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06182
            [entry_price] => 0.06004
            [stop_loss] => 0.05827
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-30 10:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.9999999999996E-5
            [max_drawdown] => 0.00453
            [rr_ratio] => 0.02
            [high] => 0.06014000
            [low] => 0.05551000
            [mfe_pct] => 0.17
            [mae_pct] => 7.54
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 24
            [start_at] => 2025-03-30T10:23:32-04:00
            [end_at] => 2025-03-30T12:23:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00043
            [max_drawdown] => 0.00453
            [rr_ratio] => 0.09
            [high] => 0.06047000
            [low] => 0.05551000
            [mfe_pct] => 0.72
            [mae_pct] => 7.54
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-03-30T10:23:32-04:00
            [end_at] => 2025-03-30T16:23:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06548000
            [high_after] => 0.06047000
            [low_before] => 0.05918000
            [low_after] => 0.05551000
            [is_new_high] => 
            [is_new_low] => 
        )

)