Short Trade on VIRTUAL

Previous Trade Next Trade

Short Trade on VIRTUAL 04 May 2025 at 07:07:30

Take profit at 1.5943 (1.6 %) and Stop Loss at 1.6375 (1.07 %)

Short Trade on VIRTUAL

The 04 May 2025 at 07:07:30

With 462.5197 VIRTUAL at 1.6202$ per unit.

Position size of 749.3745 $

Take profit at 1.5943 (1.6 %) and Stop Loss at 1.6375 (1.07 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.3

Prediction Score: 10.5712

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.01
atr: 0.01153103914

Details

score: 1.01
1H
ema9 : 1.62558
ema21 : 1.66427
ema50 : 1.68556
price_ema9_diff : -0.00323598
ema9_ema21_diff : -0.0232482
ema21_ema50_diff : -0.0126275
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.396656
kc_percentage : 0.270625
kc_width_percentage : 0.112017
15m
ema9 : 1.60066
ema21 : 1.61226
ema50 : 1.6442
price_ema9_diff : 0.0121133
ema9_ema21_diff : -0.00719379
ema21_ema50_diff : -0.0194242
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.503664
kc_percentage : 0.60941
kc_width_percentage : 0.0511775
5m
ema9 : 1.59708
ema21 : 1.59673
ema50 : 1.60694
price_ema9_diff : 0.0144738
ema9_ema21_diff : 0.000222644
ema21_ema50_diff : -0.00635157
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.61765
kc_percentage : 1.01008
kc_width_percentage : 0.0286796

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 07:07:30	04 May 2025 08:00:00	52 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.6202	1.6375	1.5943	1.5	0.7762

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 1.6202
Stop Loss: 1.6375
Take Profit: 1.5943

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.6375 - 1.6202 = 0.0173
Récompense (distance jusqu'au take profit):

E - TP = 1.6202 - 1.5943 = 0.0259
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0259 / 0.0173 = 1.4971

📌 Position Size

Amount	Margin	Quantity	Leverage
749.3745	100	462.5197	7.49

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 0.0173

Taille de position = 8 / 0.0173 = 462.43

Taille de position USD = 462.43 x 1.6202 = 749.23

Donc, tu peux acheter 462.43 avec un stoploss a 1.6375

Avec un position size USD de 749.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 462.43 x 0.0173 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 462.43 x 0.0259 = 11.98

Si Take Profit atteint, tu gagneras 11.98$

Résumé

Taille de position 462.43
Taille de position USD 749.23
Perte potentielle 8
Gain potentiel 11.98
Risk-Reward Ratio 1.4971

📌 Peformances

TP % Target	TP $ Target
1.6 %	11.98 $

SL % Target	SL $ Target
1.07 %	8 $

PNL	PNL %
-7.86 $	-1.05

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1234567901235 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.594
            [entry_price] => 1.62
            [stop_loss] => 1.6387
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 08:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.594
            [entry_price] => 1.62
            [stop_loss] => 1.6404
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 08:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.594
            [entry_price] => 1.62
            [stop_loss] => 1.6421
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 08:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.594
            [entry_price] => 1.62
            [stop_loss] => 1.6455
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 08:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0095000000000001
            [max_drawdown] => 0.0295
            [rr_ratio] => 0.32
            [high] => 1.64970000
            [low] => 1.61070000
            [mfe_pct] => 0.59
            [mae_pct] => 1.82
            [mfe_mae_ratio] => 0.32
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T07:07:30-04:00
            [end_at] => 2025-05-04T09:07:30-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0095000000000001
            [max_drawdown] => 0.1276
            [rr_ratio] => 0.07
            [high] => 1.74780000
            [low] => 1.61070000
            [mfe_pct] => 0.59
            [mae_pct] => 7.88
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T07:07:30-04:00
            [end_at] => 2025-05-04T13:07:30-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.65800000
            [high_after] => 1.74780000
            [low_before] => 1.57000000
            [low_after] => 1.61070000
            [is_new_high] => 
            [is_new_low] => 
        )

)