Trade

buy - BANANA

Status

loss

2025-03-27 00:15:09

29 minutes

PNL

-0.84

Entry: 24.84

Last: 24.63660000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.04
atr: 0.13891294962008

Details

score: 2.04

Long Trade on BANANA

The 27 Mar 2025 at 00:15:09

With 953.9 BANANA at 24.84$ per unit.

Take profit at 25.16 (1.3 %) and Stop Loss at 24.64 (0.81 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -45 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
COW	2025-05-29 09:46:32	0.9355	-100	6
XVS	2025-05-22 12:57:02	0.9371	30	1
INJ	2025-04-10 02:44:52	0.9285	30	1
ETHFI	2025-05-09 00:36:55	0.9206	-30	2
ALCH	2025-04-11 20:02:13	0.9214	-100	1
ALCH	2025-05-14 02:57:07	0.9201	-100	1

📌 Time Data

Start at	Closed at	Duration
27 Mar 2025 00:15:09	27 Mar 2025 00:45:00	29 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
24.84	24.64	25.16	1.6	18.98

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 24.84
Stop Loss: 24.64
Take Profit: 25.16

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 24.64 - 24.84 = -0.2
Récompense (distance jusqu'au take profit):

E - TP = 24.84 - 25.16 = -0.32
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.32 / -0.2 = 1.6

📌 Position Size

Amount	Margin	Quantity	Leverage
953.9	953.9	38.39	9.54

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 -0.2

Taille de position = 8 / -0.2 = -40

Taille de position USD = -40 x 24.84 = -993.6

Donc, tu peux acheter -40 avec un stoploss a 24.64

Avec un position size USD de -993.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40 x -0.2 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40 x -0.32 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

Taille de position -40
Taille de position USD -993.6
Perte potentielle 8
Gain potentiel 12.8
Risk-Reward Ratio 1.6

📌 Peformances

TP % Target	TP $ Target
1.3 %	12 $

SL % Target	SL $ Target
0.81 %	7.7 $

RR	PNL	PNL %	Max Drawdown
1.6	-8 $	-0.84	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 25.16
            [entry_price] => 24.84
            [stop_loss] => 24.62
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-27 00:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 25.16
            [entry_price] => 24.84
            [stop_loss] => 24.6
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-27 00:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 25.16
            [entry_price] => 24.84
            [stop_loss] => 24.58
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-27 01:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 25.16
            [entry_price] => 24.84
            [stop_loss] => 24.54
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-27 01:45:00
            [result] => loss
        )

)