Trade

sell - NEIROETH

Status

loss

2025-03-29 00:04:35

10 minutes

PNL

-1.09

Entry: 0.02747

Last: 0.02780000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -70

ML Pullback Score: 6.84

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.06
atr: 0.00020604129157773

Details

score: 1.06

Short Trade on NEIROETH

The 29 Mar 2025 at 00:04:35

With 25884.7792 NEIROETH at 0.02747$ per unit.

Position size of 711.0549 $

Take profit at 0.02701 (1.67 %) and Stop Loss at 0.02778 (1.13 %)

That's a 1.48 RR Trade

📌 Similar Trades

Similar Trade Score: -32.5 %

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SCRT	2025-05-05 17:56:01	0.9507	-100	1
PENDLE	2025-06-18 10:19:41	0.9484	30	1
MASK	2025-06-06 21:31:17	0.9467	-100	3
MASK	2025-04-01 00:04:19	0.9459	40	1
BGSC	2025-07-11 09:51:39	0.9481	80	1
BTC	2025-06-22 18:13:11	0.9445	-100	1

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 00:04:35	29 Mar 2025 00:15:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02747	0.02778	0.02701	1.48	0.1247

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 0.02747
Stop Loss: 0.02778
Take Profit: 0.02701

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02778 - 0.02747 = 0.00031
Récompense (distance jusqu'au take profit):

E - TP = 0.02747 - 0.02701 = 0.00046
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00046 / 0.00031 = 1.4839

📌 Position Size

Amount	Margin	Quantity	Leverage
711.0549	711.0549	25884.7792	7.11

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 0.00031

Taille de position = 8 / 0.00031 = 25806.45

Taille de position USD = 25806.45 x 0.02747 = 708.9

Donc, tu peux acheter 25806.45 avec un stoploss a 0.02778

Avec un position size USD de 708.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 25806.45 x 0.00031 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 25806.45 x 0.00046 = 11.87

Si Take Profit atteint, tu gagneras 11.87$

Résumé

Taille de position 25806.45
Taille de position USD 708.9
Perte potentielle 8
Gain potentiel 11.87
Risk-Reward Ratio 1.4839

📌 Peformances

TP % Target	TP $ Target
1.67 %	11.91 $

SL % Target	SL $ Target
1.13 %	8.02 $

PNL	PNL %
-7.76 $	-1.09

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02701
            [entry_price] => 0.02747
            [stop_loss] => 0.027811
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 00:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02701
            [entry_price] => 0.02747
            [stop_loss] => 0.027842
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 01:35:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.02701
            [entry_price] => 0.02747
            [stop_loss] => 0.027873
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 01:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.02701
            [entry_price] => 0.02747
            [stop_loss] => 0.027935
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 01:35:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00078
            [max_drawdown] => 0.00035
            [rr_ratio] => 2.23
            [high] => 0.02782000
            [low] => 0.02669000
            [mfe_pct] => 2.84
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 2.23
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T00:04:35-04:00
            [end_at] => 2025-03-29T02:04:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00185
            [max_drawdown] => 0.00035
            [rr_ratio] => 5.29
            [high] => 0.02782000
            [low] => 0.02562000
            [mfe_pct] => 6.73
            [mae_pct] => 1.27
            [mfe_mae_ratio] => 5.29
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T00:04:35-04:00
            [end_at] => 2025-03-29T06:04:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02787000
            [high_after] => 0.02782000
            [low_before] => 0.02616000
            [low_after] => 0.02562000
            [is_new_high] => 
            [is_new_low] => 1
        )

)