Long Trade on GAS

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Long Trade on GAS 10 Apr 2025 at 01:56:20

Take profit at 2.9243 (3.41 %) and Stop Loss at 2.7638 (2.27 %)

Long Trade on GAS

The 10 Apr 2025 at 01:56:20

With 124.6593 GAS at 2.828$ per unit.

Position size of 352.5364 $

Take profit at 2.9243 (3.41 %) and Stop Loss at 2.7638 (2.27 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 5.08

Prediction Score:

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.09
atr: 0.04278328441

Details

score: 2.09
1H
ema9 : 2.80482
ema21 : 2.64214
ema50 : 2.41439
price_ema9_diff : 0.00877017
ema9_ema21_diff : 0.0615703
ema21_ema50_diff : 0.09433
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.626785
kc_percentage : 0.800179
kc_width_percentage : 0.205737
15m
ema9 : 2.92945
ema21 : 2.89126
ema50 : 2.75647
price_ema9_diff : -0.0350914
ema9_ema21_diff : 0.0132096
ema21_ema50_diff : 0.0488985
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.473379
kc_percentage : 0.288995
kc_width_percentage : 0.115033
5m
ema9 : 2.89551
ema21 : 2.92958
ema50 : 2.91311
price_ema9_diff : -0.0230464
ema9_ema21_diff : -0.0116293
ema21_ema50_diff : 0.00565412
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.291005
kc_percentage : -0.0883664
kc_width_percentage : 0.0602257

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 01:56:20	10 Apr 2025 02:00:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.828	2.7638	2.9243	1.5	1.577

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 2.828
Stop Loss: 2.7638
Take Profit: 2.9243

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.7638 - 2.828 = -0.0642
Récompense (distance jusqu'au take profit):

E - TP = 2.828 - 2.9243 = -0.0963
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0963 / -0.0642 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
352.5364	100	124.6593	3.53

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 -0.0642

Taille de position = 8 / -0.0642 = -124.61

Taille de position USD = -124.61 x 2.828 = -352.4

Donc, tu peux acheter -124.61 avec un stoploss a 2.7638

Avec un position size USD de -352.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -124.61 x -0.0642 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -124.61 x -0.0963 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -124.61
Taille de position USD -352.4
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
3.41 %	12 $

SL % Target	SL $ Target
2.27 %	8 $

PNL	PNL %
-7.98 $	-2.26

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.1371994342291 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.924
            [entry_price] => 2.828
            [stop_loss] => 2.7576
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.924
            [entry_price] => 2.828
            [stop_loss] => 2.7512
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.924
            [entry_price] => 2.828
            [stop_loss] => 2.7448
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.924
            [entry_price] => 2.828
            [stop_loss] => 2.732
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.231
            [max_drawdown] => 0.117
            [rr_ratio] => 1.97
            [high] => 3.05900000
            [low] => 2.71100000
            [mfe_pct] => 8.17
            [mae_pct] => 4.14
            [mfe_mae_ratio] => 1.97
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T01:56:20-04:00
            [end_at] => 2025-04-10T03:56:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.292
            [max_drawdown] => 0.117
            [rr_ratio] => 2.5
            [high] => 3.12000000
            [low] => 2.71100000
            [mfe_pct] => 10.33
            [mae_pct] => 4.14
            [mfe_mae_ratio] => 2.5
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T01:56:20-04:00
            [end_at] => 2025-04-10T07:56:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.07800000
            [high_after] => 3.12000000
            [low_before] => 2.80600000
            [low_after] => 2.71100000
            [is_new_high] => 1
            [is_new_low] => 
        )

)