Short Trade on GRASS

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Short Trade on GRASS 10 Apr 2025 at 14:40:41

Take profit at 1.5581 (1.87 %) and Stop Loss at 1.6076 (1.25 %)

Short Trade on GRASS

The 10 Apr 2025 at 14:40:41

With 403.6439 GRASS at 1.5878$ per unit.

Position size of 640.9057 $

Take profit at 1.5581 (1.87 %) and Stop Loss at 1.6076 (1.25 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.5

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.17
atr: 0.01321296767

Details

score: 1.17
1H
ema9 : 1.58076
ema21 : 1.5973
ema50 : 1.63058
price_ema9_diff : 0.0044053
ema9_ema21_diff : -0.0103542
ema21_ema50_diff : -0.020411
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.480381
kc_percentage : 0.465671
kc_width_percentage : 0.152737
15m
ema9 : 1.55654
ema21 : 1.5693
ema50 : 1.58789
price_ema9_diff : 0.0199182
ema9_ema21_diff : -0.00813404
ema21_ema50_diff : -0.0117043
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.530904
kc_percentage : 0.686777
kc_width_percentage : 0.0663674
5m
ema9 : 1.56197
ema21 : 1.55233
ema50 : 1.56242
price_ema9_diff : 0.0166331
ema9_ema21_diff : 0.00621422
ema21_ema50_diff : -0.00645702
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.687727
kc_percentage : 1.17094
kc_width_percentage : 0.033093

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 14:40:41	10 Apr 2025 14:45:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.5878	1.6076	1.5581	1.5	0.2263

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 1.5878
Stop Loss: 1.6076
Take Profit: 1.5581

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.6076 - 1.5878 = 0.0198
Récompense (distance jusqu'au take profit):

E - TP = 1.5878 - 1.5581 = 0.0297
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0297 / 0.0198 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
640.9057	100	403.6439	6.41

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 0.0198

Taille de position = 8 / 0.0198 = 404.04

Taille de position USD = 404.04 x 1.5878 = 641.53

Donc, tu peux acheter 404.04 avec un stoploss a 1.6076

Avec un position size USD de 641.53$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 404.04 x 0.0198 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 404.04 x 0.0297 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 404.04
Taille de position USD 641.53
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.87 %	11.99 $

SL % Target	SL $ Target
1.25 %	7.99 $

PNL	PNL %
-8.07 $	-1.26

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.9395465994962 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.558
            [entry_price] => 1.588
            [stop_loss] => 1.61
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 14:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.558
            [entry_price] => 1.588
            [stop_loss] => 1.612
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 14:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.558
            [entry_price] => 1.588
            [stop_loss] => 1.614
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 14:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.558
            [entry_price] => 1.588
            [stop_loss] => 1.618
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 14:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0149
            [max_drawdown] => 0.0407
            [rr_ratio] => 0.37
            [high] => 1.62850000
            [low] => 1.57290000
            [mfe_pct] => 0.94
            [mae_pct] => 2.56
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T14:40:41-04:00
            [end_at] => 2025-04-10T16:40:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0149
            [max_drawdown] => 0.0439
            [rr_ratio] => 0.34
            [high] => 1.63170000
            [low] => 1.57290000
            [mfe_pct] => 0.94
            [mae_pct] => 2.76
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T14:40:41-04:00
            [end_at] => 2025-04-10T20:40:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.63090000
            [high_after] => 1.63170000
            [low_before] => 1.51090000
            [low_after] => 1.57290000
            [is_new_high] => 
            [is_new_low] => 
        )

)