Trade

buy - SWELL

Status

loss

2025-03-26 12:45:09

4 hours

PNL

-5.33

Entry: 0.01498

Last: 0.01420000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 1.43

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.09
atr: 0.00049255942350211

Details

score: 2.09

Long Trade on SWELL

The 26 Mar 2025 at 12:45:09

With 10827.7968 SWELL at 0.01498$ per unit.

Position size of 162.2004 $

Take profit at 0.01609 (7.41 %) and Stop Loss at 0.01424 (4.94 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 27.5 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
SPX	2025-04-01 08:24:15	0.9735	60	1
ZRC	2025-07-03 20:28:56	0.9696	-100	4
MKR	2025-07-18 06:45:14	0.9694	110	1
PENDLE	2025-07-10 20:39:16	0.968	30	2
BNB	2025-05-12 10:38:44	0.9679	-35	2
BGB	2025-07-10 22:05:57	0.9674	100	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 12:45:09	26 Mar 2025 17:35:00	4 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01498	0.01424	0.01609	1.5	0.01246

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 0.01498
Stop Loss: 0.01424
Take Profit: 0.01609

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01424 - 0.01498 = -0.00074
Récompense (distance jusqu'au take profit):

E - TP = 0.01498 - 0.01609 = -0.00111
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00111 / -0.00074 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
162.2004	162.2004	10827.7968	1.62

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 -0.00074

Taille de position = 8 / -0.00074 = -10810.81

Taille de position USD = -10810.81 x 0.01498 = -161.95

Donc, tu peux acheter -10810.81 avec un stoploss a 0.01424

Avec un position size USD de -161.95$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -10810.81 x -0.00074 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -10810.81 x -0.00111 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -10810.81
Taille de position USD -161.95
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
7.41 %	12.02 $

SL % Target	SL $ Target
4.94 %	8.01 $

PNL	PNL %
-8.65 $	-5.33

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] => 0.01609
            [entry_price] => 0.01498
            [stop_loss] => 0.014166
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01609
            [entry_price] => 0.01498
            [stop_loss] => 0.014092
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01609
            [entry_price] => 0.01498
            [stop_loss] => 0.014018
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01609
            [entry_price] => 0.01498
            [stop_loss] => 0.01387
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 17:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00048
            [max_drawdown] => 0.00034
            [rr_ratio] => 1.41
            [high] => 0.01546000
            [low] => 0.01464000
            [mfe_pct] => 3.2
            [mae_pct] => 2.27
            [mfe_mae_ratio] => 1.41
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T12:45:09-04:00
            [end_at] => 2025-03-26T14:45:09-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00048
            [max_drawdown] => 0.00096
            [rr_ratio] => 0.5
            [high] => 0.01546000
            [low] => 0.01402000
            [mfe_pct] => 3.2
            [mae_pct] => 6.41
            [mfe_mae_ratio] => 0.5
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T12:45:09-04:00
            [end_at] => 2025-03-26T18:45:09-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01936000
            [high_after] => 0.01546000
            [low_before] => 0.01469000
            [low_after] => 0.01402000
            [is_new_high] => 
            [is_new_low] => 
        )

)