Trade

sell - MASK

Status

win

2025-04-01 00:04:19

41 seconds

PNL

0.35

Entry: 2.061

Last: 2.05380000

Results

Status:

win

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.03
atr: 0.00320942

Details

score: 1.03
long_trend_details: ema9 - 2.07593
long_trend_details: ema21 - 2.11415
long_trend_details: ema50 - 2.14852
long_trend_details: ema9_ema21_diff - -1.80775
long_trend_details: ema21_ema50_diff - -1.59991
long_trend_details: ema9_ema50_diff - -3.37874
long_trend_details: price_ema21_diff - -2.51414
long_trend_details: all_emas_in_trend - True
long_trend_details: all_emas_and_price_in_trend - True

Short Trade on MASK

The 01 Apr 2025 at 00:04:19

With 3425 MASK at 2.061$ per unit.

Take profit at 2.054 (0.34 %) and Stop Loss at 2.066 (0.24 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -70 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BGB	2025-05-28 19:36:09	0.9657	-100	3
BGB	2025-05-12 19:21:34	0.9583	-100	1
DARK	2025-05-01 06:02:30	0.9625	-100	2
BANANAS31	2025-05-10 14:23:31	0.9643	30	2
CATI	2025-04-03 08:51:56	0.965	-100	1
TUT	2025-04-10 08:24:58	0.9649	-100	1
BSW	2025-04-03 11:57:16	0.9602	40	2
BTC	2025-05-28 19:07:13	0.9586	-100	1
SCRT	2025-05-05 17:56:01	0.9585	-100	1

📌 Time Data

Start at	Closed at	Duration
01 Apr 2025 00:04:19	01 Apr 2025 00:05:00	41 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.061	2.066	2.054	1.4	1.915

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 2.061
Stop Loss: 2.066
Take Profit: 2.054

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.066 - 2.061 = 0.0049999999999999
Récompense (distance jusqu'au take profit):

E - TP = 2.061 - 2.054 = 0.0070000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0070000000000001 / 0.0049999999999999 = 1.4

📌 Position Size

Amount	Margin	Quantity	Leverage
3425	3425	1662	34.25

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 0.0049999999999999

Taille de position = 8 / 0.0049999999999999 = 1600

Taille de position USD = 1600 x 2.061 = 3297.6

Donc, tu peux acheter 1600 avec un stoploss a 2.066

Avec un position size USD de 3297.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1600 x 0.0049999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1600 x 0.0070000000000001 = 11.2

Si Take Profit atteint, tu gagneras 11.2$

Résumé

Taille de position 1600
Taille de position USD 3297.6
Perte potentielle 8
Gain potentiel 11.2
Risk-Reward Ratio 1.4

📌 Peformances

TP % Target	TP $ Target
0.34 %	12 $

SL % Target	SL $ Target
0.24 %	8.3 $

RR	PNL	PNL %	Max Drawdown
1.4	12 $	0.35	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 2.051
            [stop_loss] => 2.066
            [rr_ratio] => 2
            [closed_at] => 2025-04-01 00:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.0485
            [stop_loss] => 2.066
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 2.046
            [stop_loss] => 2.066
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 2.0435
            [stop_loss] => 2.066
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 2.041
            [stop_loss] => 2.066
            [rr_ratio] => 4
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 2.0385
            [stop_loss] => 2.066
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 2.036
            [stop_loss] => 2.066
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 00:45:00
            [result] => loss
        )

)

Extra SL data


                              Array
(
)