Long Trade on SWELL

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Long Trade on SWELL 26 Apr 2025 at 16:32:17

Take profit at 0.01187 (2.86 %) and Stop Loss at 0.01132 (1.91 %)

Long Trade on SWELL

The 26 Apr 2025 at 16:32:17

With 35839.9275 SWELL at 0.01154$ per unit.

Position size of 413.5928 $

Take profit at 0.01187 (2.86 %) and Stop Loss at 0.01132 (1.91 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.15

Prediction Score: 2.2448

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0
atr: 0.0001488098247

Details

score: 2
1H
ema9 : 0.0118914
ema21 : 0.0114243
ema50 : 0.0107266
price_ema9_diff : -0.0307614
ema9_ema21_diff : 0.0408832
ema21_ema50_diff : 0.0650462
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.549077
kc_percentage : 0.536855
kc_width_percentage : 0.18702
15m
ema9 : 0.0118357
ema21 : 0.0120175
ema50 : 0.011762
price_ema9_diff : -0.0246103
ema9_ema21_diff : -0.0151247
ema21_ema50_diff : 0.0217233
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.381672
kc_percentage : 0.0902633
kc_width_percentage : 0.100861
5m
ema9 : 0.0116215
ema21 : 0.011828
ema50 : 0.0120606
price_ema9_diff : -0.00689229
ema9_ema21_diff : -0.0174613
ema21_ema50_diff : -0.0192885
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.307202
kc_percentage : -0.00413561
kc_width_percentage : 0.0466646

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 16:32:17	26 Apr 2025 16:35:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01154	0.01132	0.01187	1.5	0.002574

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 0.01154
Stop Loss: 0.01132
Take Profit: 0.01187

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01132 - 0.01154 = -0.00022
Récompense (distance jusqu'au take profit):

E - TP = 0.01154 - 0.01187 = -0.00033
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00033 / -0.00022 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
413.5928	100	35839.9275	4.14

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 -0.00022

Taille de position = 8 / -0.00022 = -36363.64

Taille de position USD = -36363.64 x 0.01154 = -419.64

Donc, tu peux acheter -36363.64 avec un stoploss a 0.01132

Avec un position size USD de -419.64$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -36363.64 x -0.00022 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -36363.64 x -0.00033 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -36363.64
Taille de position USD -419.64
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.86 %	11.83 $

SL % Target	SL $ Target
1.91 %	7.88 $

PNL	PNL %
-7.88 $	-1.91

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-4.5927209705373 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01187
            [entry_price] => 0.01154
            [stop_loss] => 0.011298
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01187
            [entry_price] => 0.01154
            [stop_loss] => 0.011276
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01187
            [entry_price] => 0.01154
            [stop_loss] => 0.011254
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01187
            [entry_price] => 0.01154
            [stop_loss] => 0.01121
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.0E-5
            [max_drawdown] => 0.0006
            [rr_ratio] => 0.07
            [high] => 0.01158000
            [low] => 0.01094000
            [mfe_pct] => 0.35
            [mae_pct] => 5.2
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T16:32:17-04:00
            [end_at] => 2025-04-26T18:32:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.00089
            [rr_ratio] => 0.16
            [high] => 0.01168000
            [low] => 0.01065000
            [mfe_pct] => 1.21
            [mae_pct] => 7.71
            [mfe_mae_ratio] => 0.16
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T16:32:17-04:00
            [end_at] => 2025-04-26T22:32:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01305000
            [high_after] => 0.01168000
            [low_before] => 0.01139000
            [low_after] => 0.01065000
            [is_new_high] => 
            [is_new_low] => 
        )

)