Short Trade on GAS

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Short Trade on GAS 20 Apr 2025 at 17:11:35

Take profit at 3.4303 (0.63 %) and Stop Loss at 3.4665 (0.42 %)

Short Trade on GAS

The 20 Apr 2025 at 17:11:35

With 552.3412 GAS at 3.452$ per unit.

Position size of 1906.6818 $

Take profit at 3.4303 (0.63 %) and Stop Loss at 3.4665 (0.42 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -70

ML Pullback Score: 1.71

Prediction Score: 0.1794

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: 0.03
atr: 0.009655867201

Details

score: 1.03
1H
ema9 : 3.45413
ema21 : 3.47092
ema50 : 3.48878
price_ema9_diff : -0.000615734
ema9_ema21_diff : -0.00483652
ema21_ema50_diff : -0.00512086
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.47286
kc_percentage : 0.409771
kc_width_percentage : 0.0592947
15m
ema9 : 3.43215
ema21 : 3.43851
ema50 : 3.46381
price_ema9_diff : 0.00577096
ema9_ema21_diff : -0.00184985
ema21_ema50_diff : -0.00730403
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.531716
kc_percentage : 0.705026
kc_width_percentage : 0.0204957
5m
ema9 : 3.43657
ema21 : 3.43112
ema50 : 3.43246
price_ema9_diff : 0.00449628
ema9_ema21_diff : 0.00158825
ema21_ema50_diff : -0.000390323
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.661103
kc_percentage : 1.02768
kc_width_percentage : 0.0113304

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 17:11:35	20 Apr 2025 17:35:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.452	3.4665	3.4303	1.5	1.589

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 3.452
Stop Loss: 3.4665
Take Profit: 3.4303

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 3.4665 - 3.452 = 0.0145
Récompense (distance jusqu'au take profit):

E - TP = 3.452 - 3.4303 = 0.0217
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0217 / 0.0145 = 1.4966

📌 Position Size

Amount	Margin	Quantity	Leverage
1906.6818	100	552.3412	19.07

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 0.0145

Taille de position = 8 / 0.0145 = 551.72

Taille de position USD = 551.72 x 3.452 = 1904.54

Donc, tu peux acheter 551.72 avec un stoploss a 3.4665

Avec un position size USD de 1904.54$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 551.72 x 0.0145 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 551.72 x 0.0217 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position 551.72
Taille de position USD 1904.54
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4966

📌 Peformances

TP % Target	TP $ Target
0.63 %	11.99 $

SL % Target	SL $ Target
0.42 %	8.01 $

PNL	PNL %
-7.73 $	-0.41

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.46349942062572 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 3.43
            [entry_price] => 3.452
            [stop_loss] => 3.4674
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.43
            [entry_price] => 3.452
            [stop_loss] => 3.4688
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 18:05:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 3.43
            [entry_price] => 3.452
            [stop_loss] => 3.4702
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 18:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 3.43
            [entry_price] => 3.452
            [stop_loss] => 3.473
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 18:05:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.016
            [rr_ratio] => 2
            [high] => 3.46800000
            [low] => 3.42000000
            [mfe_pct] => 0.93
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 2
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T17:11:35-04:00
            [end_at] => 2025-04-20T19:11:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.032
            [max_drawdown] => 0.173
            [rr_ratio] => 0.18
            [high] => 3.62500000
            [low] => 3.42000000
            [mfe_pct] => 0.93
            [mae_pct] => 5.01
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T17:11:35-04:00
            [end_at] => 2025-04-20T23:11:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.46000000
            [high_after] => 3.62500000
            [low_before] => 3.40800000
            [low_after] => 3.42000000
            [is_new_high] => 
            [is_new_low] => 
        )

)