Long Trade on AKT

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Long Trade on AKT 01 May 2025 at 04:14:46

Take profit at 1.745 (2.35 %) and Stop Loss at 1.6783 (1.57 %)

Long Trade on AKT

The 01 May 2025 at 04:14:46

With 299.7666 AKT at 1.705$ per unit.

Position size of 511.102 $

Take profit at 1.745 (2.35 %) and Stop Loss at 1.6783 (1.57 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -70

ML Pullback Score: 1.7

Prediction Score: -4.3831

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
1	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: 0.11
atr: 0.01779162181

Details

score: 2.11
1H
ema9 : 1.70104
ema21 : 1.62155
ema50 : 1.50499
price_ema9_diff : 0.00243763
ema9_ema21_diff : 0.0490219
ema21_ema50_diff : 0.0774459
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.643518
kc_percentage : 0.830135
kc_width_percentage : 0.138012
15m
ema9 : 1.74585
ema21 : 1.72709
ema50 : 1.6679
price_ema9_diff : -0.0236542
ema9_ema21_diff : 0.0108626
ema21_ema50_diff : 0.0354859
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.478065
kc_percentage : 0.310355
kc_width_percentage : 0.0747028
5m
ema9 : 1.74201
ema21 : 1.75006
ema50 : 1.73679
price_ema9_diff : -0.0211482
ema9_ema21_diff : -0.00460356
ema21_ema50_diff : 0.00763976
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.336702
kc_percentage : -0.107485
kc_width_percentage : 0.0434726

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
01 May 2025 04:14:46	01 May 2025 06:25:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.705	1.6783	1.745	1.5	0.3154

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 1.705
Stop Loss: 1.6783
Take Profit: 1.745

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.6783 - 1.705 = -0.0267
Récompense (distance jusqu'au take profit):

E - TP = 1.705 - 1.745 = -0.04
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.04 / -0.0267 = 1.4981

📌 Position Size

Amount	Margin	Quantity	Leverage
511.102	100	299.7666	5.11

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 -0.0267

Taille de position = 8 / -0.0267 = -299.63

Taille de position USD = -299.63 x 1.705 = -510.87

Donc, tu peux acheter -299.63 avec un stoploss a 1.6783

Avec un position size USD de -510.87$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -299.63 x -0.0267 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -299.63 x -0.04 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position -299.63
Taille de position USD -510.87
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.4981

📌 Peformances

TP % Target	TP $ Target
2.35 %	11.99 $

SL % Target	SL $ Target
1.57 %	8 $

PNL	PNL %
-8.09 $	-1.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6422287390029 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.745
            [entry_price] => 1.705
            [stop_loss] => 1.6753
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-01 06:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.745
            [entry_price] => 1.705
            [stop_loss] => 1.6726
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-01 07:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 1.745
            [entry_price] => 1.705
            [stop_loss] => 1.6699
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-01 07:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.745
            [entry_price] => 1.705
            [stop_loss] => 1.6645
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-01 07:25:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.035
            [max_drawdown] => 0.025
            [rr_ratio] => 1.4
            [high] => 1.74000000
            [low] => 1.68000000
            [mfe_pct] => 2.05
            [mae_pct] => 1.47
            [mfe_mae_ratio] => 1.4
            [candles_analyzed] => 24
            [start_at] => 2025-05-01T04:14:46-04:00
            [end_at] => 2025-05-01T06:14:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.043
            [max_drawdown] => 0.045
            [rr_ratio] => 0.96
            [high] => 1.74800000
            [low] => 1.66000000
            [mfe_pct] => 2.52
            [mae_pct] => 2.64
            [mfe_mae_ratio] => 0.96
            [candles_analyzed] => 72
            [start_at] => 2025-05-01T04:14:46-04:00
            [end_at] => 2025-05-01T10:14:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.79500000
            [high_after] => 1.74800000
            [low_before] => 1.70200000
            [low_after] => 1.66000000
            [is_new_high] => 
            [is_new_low] => 
        )

)