Long Trade on AKT

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Long Trade on AKT 01 May 2025 at 04:19:15

Take profit at 1.7482 (2.35 %) and Stop Loss at 1.6812 (1.57 %)

Long Trade on AKT

The 01 May 2025 at 04:19:15

With 298.2528 AKT at 1.708$ per unit.

Position size of 509.4158 $

Take profit at 1.7482 (2.35 %) and Stop Loss at 1.6812 (1.57 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 1.41

Prediction Score: -4.3879

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: 0.02
atr: 0.01788192227

Details

score: 2.02
1H
ema9 : 1.70164
ema21 : 1.62182
ema50 : 1.50511
price_ema9_diff : 0.00391703
ema9_ema21_diff : 0.0492154
ema21_ema50_diff : 0.0775429
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.648028
kc_percentage : 0.83822
kc_width_percentage : 0.139175
15m
ema9 : 1.73956
ema21 : 1.72601
ema50 : 1.66977
price_ema9_diff : -0.0182862
ema9_ema21_diff : 0.00784736
ema21_ema50_diff : 0.0336804
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.483598
kc_percentage : 0.337772
kc_width_percentage : 0.0715641
5m
ema9 : 1.73648
ema21 : 1.74691
ema50 : 1.73884
price_ema9_diff : -0.0163079
ema9_ema21_diff : -0.00596877
ema21_ema50_diff : 0.00464152
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.342344
kc_percentage : -0.0210763
kc_width_percentage : 0.043507

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
01 May 2025 04:19:15	01 May 2025 05:50:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.708	1.6812	1.7482	1.5	0.3119

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 1.708
Stop Loss: 1.6812
Take Profit: 1.7482

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.6812 - 1.708 = -0.0268
Récompense (distance jusqu'au take profit):

E - TP = 1.708 - 1.7482 = -0.0402
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0402 / -0.0268 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
509.4158	100	298.2528	5.09

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 -0.0268

Taille de position = 8 / -0.0268 = -298.51

Taille de position USD = -298.51 x 1.708 = -509.86

Donc, tu peux acheter -298.51 avec un stoploss a 1.6812

Avec un position size USD de -509.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -298.51 x -0.0268 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -298.51 x -0.0402 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -298.51
Taille de position USD -509.86
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
2.35 %	11.99 $

SL % Target	SL $ Target
1.57 %	7.99 $

PNL	PNL %
-8.05 $	-1.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6393442622951 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.708
            [stop_loss] => 1.6783
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-01 06:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.708
            [stop_loss] => 1.6756
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-01 06:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.708
            [stop_loss] => 1.6729
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-01 07:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.748
            [entry_price] => 1.708
            [stop_loss] => 1.6675
            [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] => 0.032
            [max_drawdown] => 0.028
            [rr_ratio] => 1.14
            [high] => 1.74000000
            [low] => 1.68000000
            [mfe_pct] => 1.87
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 1.14
            [candles_analyzed] => 24
            [start_at] => 2025-05-01T04:19:15-04:00
            [end_at] => 2025-05-01T06:19:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.048
            [rr_ratio] => 0.83
            [high] => 1.74800000
            [low] => 1.66000000
            [mfe_pct] => 2.34
            [mae_pct] => 2.81
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 72
            [start_at] => 2025-05-01T04:19:15-04:00
            [end_at] => 2025-05-01T10:19:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.79500000
            [high_after] => 1.74800000
            [low_before] => 1.69600000
            [low_after] => 1.66000000
            [is_new_high] => 
            [is_new_low] => 
        )

)