Trade

sell - ARC

Status

loss

2025-04-01 16:49:58

10 minutes

PNL

-1.64

Entry: 0.04893

Last: 0.04970000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 1.2

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.22
atr: 0.000504998

Details

score: 1.22
long_trend_details
ema9 - 0.0482769
ema21 - 0.0489333
ema50 - 0.0495304
ema9_ema21_diff - -1.34136
ema21_ema50_diff - -1.20565
ema9_ema50_diff - -2.53084
price_ema21_diff - -0.00676901
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on ARC

The 01 Apr 2025 at 16:49:58

With 10561.0979 ARC at 0.04893$ per unit.

Position size of 516.7545 $

Take profit at 0.04779 (2.33 %) and Stop Loss at 0.04969 (1.55 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.22 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
FIS	2025-07-09 13:32:13	0.8291	-100	4
HYPE	2025-06-26 21:42:37	0.8369	-100	1
TAIKO	2025-06-17 20:58:59	0.8191	-3.33	3
AI16Z	2025-06-17 21:07:52	0.8142	30	1
POPCAT	2025-04-01 23:51:57	0.8084	70	1
ICNT	2025-07-05 09:11:00	0.8053	60	1

📌 Time Data

Start at	Closed at	Duration
01 Apr 2025 16:49:58	01 Apr 2025 17:00:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.04893	0.04969	0.04779	1.5	0.03075

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 0.04893
Stop Loss: 0.04969
Take Profit: 0.04779

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.04969 - 0.04893 = 0.00076
Récompense (distance jusqu'au take profit):

E - TP = 0.04893 - 0.04779 = 0.00114
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00114 / 0.00076 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
516.7545	516.7545	10561.0979	5.17

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 0.00076

Taille de position = 8 / 0.00076 = 10526.32

Taille de position USD = 10526.32 x 0.04893 = 515.05

Donc, tu peux acheter 10526.32 avec un stoploss a 0.04969

Avec un position size USD de 515.05$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10526.32 x 0.00076 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10526.32 x 0.00114 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 10526.32
Taille de position USD 515.05
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.33 %	12.04 $

SL % Target	SL $ Target
1.55 %	8.03 $

PNL	PNL %
-8.45 $	-1.64

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6973415132924 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04779
            [entry_price] => 0.04893
            [stop_loss] => 0.049766
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 19:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04779
            [entry_price] => 0.04893
            [stop_loss] => 0.049842
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 19:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.04779
            [entry_price] => 0.04893
            [stop_loss] => 0.049918
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 19:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.04779
            [entry_price] => 0.04893
            [stop_loss] => 0.05007
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 19:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00083
            [max_drawdown] => 0.0008
            [rr_ratio] => 1.04
            [high] => 0.04973000
            [low] => 0.04810000
            [mfe_pct] => 1.7
            [mae_pct] => 1.63
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T16:49:58-04:00
            [end_at] => 2025-04-01T18:49:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00099
            [max_drawdown] => 0.00162
            [rr_ratio] => 0.61
            [high] => 0.05055000
            [low] => 0.04794000
            [mfe_pct] => 2.02
            [mae_pct] => 3.31
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T16:49:58-04:00
            [end_at] => 2025-04-01T22:49:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.04916000
            [high_after] => 0.05055000
            [low_before] => 0.04554000
            [low_after] => 0.04794000
            [is_new_high] => 
            [is_new_low] => 
        )

)