Long Trade on AKT

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Long Trade on AKT 09 May 2025 at 10:37:58

Take profit at 1.8232 (1.4 %) and Stop Loss at 1.7812 (0.93 %)

Long Trade on AKT

The 09 May 2025 at 10:37:58

With 476.3587 AKT at 1.798$ per unit.

Position size of 856.4929 $

Take profit at 1.8232 (1.4 %) and Stop Loss at 1.7812 (0.93 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 2.02

Prediction Score: 1

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: 0.09
atr: 0.01119604594

Details

score: 2.09
1H
ema9 : 1.81706
ema21 : 1.79184
ema50 : 1.72016
price_ema9_diff : -0.0106389
ema9_ema21_diff : 0.0140724
ema21_ema50_diff : 0.0416735
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.5284
kc_percentage : 0.515513
kc_width_percentage : 0.118227
15m
ema9 : 1.8204
ema21 : 1.8189
ema50 : 1.81293
price_ema9_diff : -0.0123193
ema9_ema21_diff : 0.000828676
ema21_ema50_diff : 0.00329012
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.435493
kc_percentage : 0.245031
kc_width_percentage : 0.0456536
5m
ema9 : 1.82387
ema21 : 1.82637
ema50 : 1.82208
price_ema9_diff : -0.0141681
ema9_ema21_diff : -0.00136723
ema21_ema50_diff : 0.00235537
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.375072
kc_percentage : -0.0871786
kc_width_percentage : 0.0269865

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 May 2025 10:37:58	09 May 2025 12:55:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.798	1.7812	1.8232	1.5	0.3097

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 1.798
Stop Loss: 1.7812
Take Profit: 1.8232

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.7812 - 1.798 = -0.0168
Récompense (distance jusqu'au take profit):

E - TP = 1.798 - 1.8232 = -0.0252
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0252 / -0.0168 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
856.4929	100	476.3587	8.56

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 -0.0168

Taille de position = 8 / -0.0168 = -476.19

Taille de position USD = -476.19 x 1.798 = -856.19

Donc, tu peux acheter -476.19 avec un stoploss a 1.7812

Avec un position size USD de -856.19$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -476.19 x -0.0168 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -476.19 x -0.0252 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -476.19
Taille de position USD -856.19
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.4 %	12 $

SL % Target	SL $ Target
0.93 %	8 $

PNL	PNL %
-8.1 $	-0.95

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1679644048943 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.823
            [entry_price] => 1.798
            [stop_loss] => 1.7793
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-09 12:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.823
            [entry_price] => 1.798
            [stop_loss] => 1.7776
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-09 12:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.823
            [entry_price] => 1.798
            [stop_loss] => 1.7759
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-09 14:10:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 1.823
            [entry_price] => 1.798
            [stop_loss] => 1.7725
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-09 14:10:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.023
            [max_drawdown] => 0.015
            [rr_ratio] => 1.53
            [high] => 1.82100000
            [low] => 1.78300000
            [mfe_pct] => 1.28
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.53
            [candles_analyzed] => 24
            [start_at] => 2025-05-09T10:37:58-04:00
            [end_at] => 2025-05-09T12:37:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.028
            [max_drawdown] => 0.021
            [rr_ratio] => 1.33
            [high] => 1.82600000
            [low] => 1.77700000
            [mfe_pct] => 1.56
            [mae_pct] => 1.17
            [mfe_mae_ratio] => 1.33
            [candles_analyzed] => 72
            [start_at] => 2025-05-09T10:37:58-04:00
            [end_at] => 2025-05-09T16:37:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.85300000
            [high_after] => 1.82600000
            [low_before] => 1.78900000
            [low_after] => 1.77700000
            [is_new_high] => 
            [is_new_low] => 
        )

)