Long Trade on AKT

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Long Trade on AKT 30 Apr 2025 at 18:19:51

Take profit at 1.5442 (1.59 %) and Stop Loss at 1.5039 (1.06 %)

Long Trade on AKT

The 30 Apr 2025 at 18:19:51

With 495.4626 AKT at 1.52$ per unit.

Position size of 753.1031 $

Take profit at 1.5442 (1.59 %) and Stop Loss at 1.5039 (1.06 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 6.2

Prediction Score: -8.3934

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.06
atr: 0.01076435123

Details

score: 2.06
1H
ema9 : 1.532
ema21 : 1.4847
ema50 : 1.41032
price_ema9_diff : -0.00808656
ema9_ema21_diff : 0.0318561
ema21_ema50_diff : 0.0527447
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.612991
kc_percentage : 0.682483
kc_width_percentage : 0.114043
15m
ema9 : 1.54189
ema21 : 1.54821
ema50 : 1.51879
price_ema9_diff : -0.01414
ema9_ema21_diff : -0.00408688
ema21_ema50_diff : 0.0193744
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.387026
kc_percentage : 0.147463
kc_width_percentage : 0.0532832
5m
ema9 : 1.53422
ema21 : 1.54421
ema50 : 1.55325
price_ema9_diff : -0.00920882
ema9_ema21_diff : -0.00647331
ema21_ema50_diff : -0.00581747
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.340365
kc_percentage : -0.0550655
kc_width_percentage : 0.027864

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 18:19:51	30 Apr 2025 18:20:00	9 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.52	1.5039	1.5442	1.5	0.3073

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 1.52
Stop Loss: 1.5039
Take Profit: 1.5442

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.5039 - 1.52 = -0.0161
Récompense (distance jusqu'au take profit):

E - TP = 1.52 - 1.5442 = -0.0242
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0242 / -0.0161 = 1.5031

📌 Position Size

Amount	Margin	Quantity	Leverage
753.1031	100	495.4626	7.53

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 -0.0161

Taille de position = 8 / -0.0161 = -496.89

Taille de position USD = -496.89 x 1.52 = -755.27

Donc, tu peux acheter -496.89 avec un stoploss a 1.5039

Avec un position size USD de -755.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -496.89 x -0.0161 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -496.89 x -0.0242 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position -496.89
Taille de position USD -755.27
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5031

📌 Peformances

TP % Target	TP $ Target
1.59 %	11.99 $

SL % Target	SL $ Target
1.06 %	7.98 $

PNL	PNL %
-7.93 $	-1.05

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.1710526315789 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.544
            [entry_price] => 1.52
            [stop_loss] => 1.5024
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.544
            [entry_price] => 1.52
            [stop_loss] => 1.5008
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.544
            [entry_price] => 1.52
            [stop_loss] => 1.4992
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.544
            [entry_price] => 1.52
            [stop_loss] => 1.496
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.159
            [max_drawdown] => 0.064
            [rr_ratio] => 2.48
            [high] => 1.67900000
            [low] => 1.45600000
            [mfe_pct] => 10.46
            [mae_pct] => 4.21
            [mfe_mae_ratio] => 2.48
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T18:19:51-04:00
            [end_at] => 2025-04-30T20:19:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.237
            [max_drawdown] => 0.064
            [rr_ratio] => 3.7
            [high] => 1.75700000
            [low] => 1.45600000
            [mfe_pct] => 15.59
            [mae_pct] => 4.21
            [mfe_mae_ratio] => 3.7
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T18:19:51-04:00
            [end_at] => 2025-05-01T00:19:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.59500000
            [high_after] => 1.75700000
            [low_before] => 1.51800000
            [low_after] => 1.45600000
            [is_new_high] => 1
            [is_new_low] => 
        )

)