Trade

buy - ZRO

Status

loss

2025-03-26 19:05:06

24 minutes

PNL

-1.25

Entry: 3.031

Last: 2.99320000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

ML Trade Score: -100

ML Pullback Score: 4.92

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.1
atr: 0.025232106594983

Details

score: 2.1

Long Trade on ZRO

The 26 Mar 2025 at 19:05:06

With 211.3709 ZRO at 3.031$ per unit.

Position size of 640.6652 $

Take profit at 3.0878 (1.87 %) and Stop Loss at 2.9932 (1.25 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -59.29 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
CRV	2025-06-10 10:57:53	0.9265	-100	3
LDO	2025-07-17 16:18:36	0.9245	-100	1
FUN	2025-08-04 11:27:12	0.9242	50	1
ETC	2025-06-29 21:14:21	0.9172	-100	2
WAL	2025-04-27 11:02:58	0.9137	30	1
NMR	2025-08-17 06:50:14	0.9088	-100	2
PUFFER	2025-04-11 15:16:49	0.9071	-95	2

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 19:05:06	26 Mar 2025 19:30:00	24 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
3.031	2.9932	3.0878	1.5	2.064

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 3.031
Stop Loss: 2.9932
Take Profit: 3.0878

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.9932 - 3.031 = -0.0378
Récompense (distance jusqu'au take profit):

E - TP = 3.031 - 3.0878 = -0.0568
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0568 / -0.0378 = 1.5026

📌 Position Size

Amount	Margin	Quantity	Leverage
640.6652	640.6652	211.3709	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 -0.0378

Taille de position = 8 / -0.0378 = -211.64

Taille de position USD = -211.64 x 3.031 = -641.48

Donc, tu peux acheter -211.64 avec un stoploss a 2.9932

Avec un position size USD de -641.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -211.64 x -0.0378 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -211.64 x -0.0568 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position -211.64
Taille de position USD -641.48
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5026

📌 Peformances

TP % Target	TP $ Target
1.87 %	12.01 $

SL % Target	SL $ Target
1.25 %	7.99 $

PNL	PNL %
-7.99 $	-1.25

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] => 3.088
            [entry_price] => 3.031
            [stop_loss] => 2.9892
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 19:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.088
            [entry_price] => 3.031
            [stop_loss] => 2.9854
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 19:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.088
            [entry_price] => 3.031
            [stop_loss] => 2.9816
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 19:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.088
            [entry_price] => 3.031
            [stop_loss] => 2.974
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 20:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.054
            [max_drawdown] => 0.092
            [rr_ratio] => 0.59
            [high] => 3.08500000
            [low] => 2.93900000
            [mfe_pct] => 1.78
            [mae_pct] => 3.04
            [mfe_mae_ratio] => 0.59
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T19:05:06-04:00
            [end_at] => 2025-03-26T21:05:06-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.375
            [max_drawdown] => 0.092
            [rr_ratio] => 4.08
            [high] => 3.40600000
            [low] => 2.93900000
            [mfe_pct] => 12.37
            [mae_pct] => 3.04
            [mfe_mae_ratio] => 4.08
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T19:05:06-04:00
            [end_at] => 2025-03-27T01:05:06-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.23200000
            [high_after] => 3.40600000
            [low_before] => 2.87600000
            [low_after] => 2.93900000
            [is_new_high] => 1
            [is_new_low] => 
        )

)