Long Trade on AGLD

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Long Trade on AGLD 09 May 2025 at 10:27:16

Take profit at 1.0529 (1.24 %) and Stop Loss at 1.0314 (0.83 %)

Long Trade on AGLD

The 09 May 2025 at 10:27:16

With 926.8156 AGLD at 1.04$ per unit.

Position size of 963.8882 $

Take profit at 1.0529 (1.24 %) and Stop Loss at 1.0314 (0.83 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 4.76

Prediction Score: 3.1676

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	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: 0.04
atr: 0.005754471075

Details

score: 2.04
1H
ema9 : 1.04857
ema21 : 1.03089
ema50 : 0.992552
price_ema9_diff : -0.00832088
ema9_ema21_diff : 0.0171579
ema21_ema50_diff : 0.0386253
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.581017
kc_percentage : 0.578346
kc_width_percentage : 0.0909053
15m
ema9 : 1.05142
ema21 : 1.05206
ema50 : 1.04514
price_ema9_diff : -0.0108635
ema9_ema21_diff : -0.000602075
ema21_ema50_diff : 0.00661563
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.43479
kc_percentage : 0.249714
kc_width_percentage : 0.0463306
5m
ema9 : 1.05201
ema21 : 1.05269
ema50 : 1.05309
price_ema9_diff : -0.011412
ema9_ema21_diff : -0.00064847
ema21_ema50_diff : -0.000378482
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.379039
kc_percentage : -0.0398939
kc_width_percentage : 0.02263

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 May 2025 10:27:16	09 May 2025 10:35:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.04	1.0314	1.0529	1.5	0.2267

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 1.04
Stop Loss: 1.0314
Take Profit: 1.0529

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.0314 - 1.04 = -0.0085999999999999
Récompense (distance jusqu'au take profit):

E - TP = 1.04 - 1.0529 = -0.0129
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0129 / -0.0085999999999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
963.8882	100	926.8156	9.64

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 -0.0085999999999999

Taille de position = 8 / -0.0085999999999999 = -930.23

Taille de position USD = -930.23 x 1.04 = -967.44

Donc, tu peux acheter -930.23 avec un stoploss a 1.0314

Avec un position size USD de -967.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -930.23 x -0.0085999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -930.23 x -0.0129 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -930.23
Taille de position USD -967.44
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.24 %	11.96 $

SL % Target	SL $ Target
0.83 %	7.97 $

PNL	PNL %
-8.34 $	-0.87

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0865384615385 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.053
            [entry_price] => 1.04
            [stop_loss] => 1.0301
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.053
            [entry_price] => 1.04
            [stop_loss] => 1.0292
            [rr_ratio] => 1.2
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.053
            [entry_price] => 1.04
            [stop_loss] => 1.0283
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-09 11:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.053
            [entry_price] => 1.04
            [stop_loss] => 1.0265
            [rr_ratio] => 0.96
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-09 11:05:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0176
            [max_drawdown] => 0.0113
            [rr_ratio] => 1.56
            [high] => 1.05760000
            [low] => 1.02870000
            [mfe_pct] => 1.69
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 1.56
            [candles_analyzed] => 24
            [start_at] => 2025-05-09T10:27:16-04:00
            [end_at] => 2025-05-09T12:27:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0285
            [max_drawdown] => 0.0113
            [rr_ratio] => 2.52
            [high] => 1.06850000
            [low] => 1.02870000
            [mfe_pct] => 2.74
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 2.52
            [candles_analyzed] => 72
            [start_at] => 2025-05-09T10:27:16-04:00
            [end_at] => 2025-05-09T16:27:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.06720000
            [high_after] => 1.06850000
            [low_before] => 1.03350000
            [low_after] => 1.02870000
            [is_new_high] => 1
            [is_new_low] => 
        )

)