Long Trade on AKT

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Long Trade on AKT 30 Apr 2025 at 17:08:44

Take profit at 1.5648 (1.68 %) and Stop Loss at 1.5218 (1.12 %)

Long Trade on AKT

The 30 Apr 2025 at 17:08:44

With 465.1099 AKT at 1.539$ per unit.

Position size of 715.8042 $

Take profit at 1.5648 (1.68 %) and Stop Loss at 1.5218 (1.12 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 3.45

Prediction Score: -0.6963

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: 0.16
atr: 0.0114668232

Details

score: 2.16
1H
ema9 : 1.5366
ema21 : 1.4819
ema50 : 1.40625
price_ema9_diff : 0.00161431
ema9_ema21_diff : 0.0369119
ema21_ema50_diff : 0.0538005
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.659009
kc_percentage : 0.801768
kc_width_percentage : 0.114552
15m
ema9 : 1.56613
ema21 : 1.55844
ema50 : 1.51622
price_ema9_diff : -0.0174146
ema9_ema21_diff : 0.0049372
ema21_ema50_diff : 0.0278437
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.457081
kc_percentage : 0.270376
kc_width_percentage : 0.058521
5m
ema9 : 1.56216
ema21 : 1.56957
ema50 : 1.56609
price_ema9_diff : -0.0147575
ema9_ema21_diff : -0.0047251
ema21_ema50_diff : 0.00222712
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.332474
kc_percentage : -0.159608
kc_width_percentage : 0.0299018

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
30 Apr 2025 17:08:44	30 Apr 2025 17:35:00	26 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.539	1.5218	1.5648	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 1.539
Stop Loss: 1.5218
Take Profit: 1.5648

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.5218 - 1.539 = -0.0172
Récompense (distance jusqu'au take profit):

E - TP = 1.539 - 1.5648 = -0.0258
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0258 / -0.0172 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
715.8042	100	465.1099	7.16

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 -0.0172

Taille de position = 8 / -0.0172 = -465.12

Taille de position USD = -465.12 x 1.539 = -715.82

Donc, tu peux acheter -465.12 avec un stoploss a 1.5218

Avec un position size USD de -715.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -465.12 x -0.0172 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -465.12 x -0.0258 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -465.12
Taille de position USD -715.82
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.68 %	12 $

SL % Target	SL $ Target
1.12 %	8 $

PNL	PNL %
-7.91 $	-1.10

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1046133853151 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.565
            [entry_price] => 1.539
            [stop_loss] => 1.5203
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-30 18:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.565
            [entry_price] => 1.539
            [stop_loss] => 1.5186
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-30 18:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.565
            [entry_price] => 1.539
            [stop_loss] => 1.5169
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.565
            [entry_price] => 1.539
            [stop_loss] => 1.5135
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-30 18:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.053
            [rr_ratio] => 0.21
            [high] => 1.55000000
            [low] => 1.48600000
            [mfe_pct] => 0.71
            [mae_pct] => 3.44
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T17:08:44-04:00
            [end_at] => 2025-04-30T19:08:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.178
            [max_drawdown] => 0.083
            [rr_ratio] => 2.14
            [high] => 1.71700000
            [low] => 1.45600000
            [mfe_pct] => 11.57
            [mae_pct] => 5.39
            [mfe_mae_ratio] => 2.14
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T17:08:44-04:00
            [end_at] => 2025-04-30T23:08:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.60600000
            [high_after] => 1.71700000
            [low_before] => 1.53300000
            [low_after] => 1.45600000
            [is_new_high] => 1
            [is_new_low] => 
        )

)