Long Trade on SWELL

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Long Trade on SWELL 26 Apr 2025 at 16:12:16

Take profit at 0.01197 (3.28 %) and Stop Loss at 0.01134 (2.16 %)

Long Trade on SWELL

The 26 Apr 2025 at 16:12:16

With 31590.9855 SWELL at 0.01159$ per unit.

Position size of 366.1395 $

Take profit at 0.01197 (3.28 %) and Stop Loss at 0.01134 (2.16 %)

That's a 1.52 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.27

Prediction Score: 0.4649

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: 0.01
atr: 0.0001688245317

Details

score: 2.01
1H
ema9 : 0.0119014
ema21 : 0.0114289
ema50 : 0.0107285
price_ema9_diff : -0.0272493
ema9_ema21_diff : 0.0413442
ema21_ema50_diff : 0.0652752
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.557231
kc_percentage : 0.558686
kc_width_percentage : 0.183453
15m
ema9 : 0.0119906
ema21 : 0.0121129
ema50 : 0.0117784
price_ema9_diff : -0.0330733
ema9_ema21_diff : -0.0101015
ema21_ema50_diff : 0.028398
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.391093
kc_percentage : 0.104592
kc_width_percentage : 0.115112
5m
ema9 : 0.0116614
ema21 : 0.0119325
ema50 : 0.012138
price_ema9_diff : -0.00598661
ema9_ema21_diff : -0.0227236
ema21_ema50_diff : -0.0169244
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.291678
kc_percentage : -0.0102108
kc_width_percentage : 0.0548566

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 16:12:16	26 Apr 2025 16:35:00	22 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01159	0.01134	0.01197	1.52	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 0.01159
Stop Loss: 0.01134
Take Profit: 0.01197

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01134 - 0.01159 = -0.00025
Récompense (distance jusqu'au take profit):

E - TP = 0.01159 - 0.01197 = -0.00038
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00038 / -0.00025 = 1.52

📌 Position Size

Amount	Margin	Quantity	Leverage
366.1395	100	31590.9855	3.66

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 -0.00025

Taille de position = 8 / -0.00025 = -32000

Taille de position USD = -32000 x 0.01159 = -370.88

Donc, tu peux acheter -32000 avec un stoploss a 0.01134

Avec un position size USD de -370.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -32000 x -0.00025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -32000 x -0.00038 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

Taille de position -32000
Taille de position USD -370.88
Perte potentielle 8
Gain potentiel 12.16
Risk-Reward Ratio 1.52

📌 Peformances

TP % Target	TP $ Target
3.28 %	12 $

SL % Target	SL $ Target
2.16 %	7.9 $

PNL	PNL %
-7.9 $	-2.16

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-5.0043140638481 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.01159
            [stop_loss] => 0.011315
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.01159
            [stop_loss] => 0.01129
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.01159
            [stop_loss] => 0.011265
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01197
            [entry_price] => 0.01159
            [stop_loss] => 0.011215
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 16:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.00065
            [rr_ratio] => 0.22
            [high] => 0.01173000
            [low] => 0.01094000
            [mfe_pct] => 1.21
            [mae_pct] => 5.61
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T16:12:16-04:00
            [end_at] => 2025-04-26T18:12:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00014
            [max_drawdown] => 0.00094
            [rr_ratio] => 0.15
            [high] => 0.01173000
            [low] => 0.01065000
            [mfe_pct] => 1.21
            [mae_pct] => 8.11
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T16:12:16-04:00
            [end_at] => 2025-04-26T22:12:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01305000
            [high_after] => 0.01173000
            [low_before] => 0.01139000
            [low_after] => 0.01065000
            [is_new_high] => 
            [is_new_low] => 
        )

)