Long Trade on KAS

Previous Trade Next Trade

Long Trade on KAS 09 Apr 2025 at 19:26:04

Take profit at 0.06911 (1.13 %) and Stop Loss at 0.06783 (0.75 %)

Long Trade on KAS

The 09 Apr 2025 at 19:26:04

With 15581.1291 KAS at 0.06834$ per unit.

Position size of 1064.8144 $

Take profit at 0.06911 (1.13 %) and Stop Loss at 0.06783 (0.75 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.1

Prediction Score:

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
	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: 0.15
atr: 0.0003422944059

Details

score: 2.15
1H
ema9 : 0.0672993
ema21 : 0.0647929
ema50 : 0.0629834
price_ema9_diff : 0.0160604
ema9_ema21_diff : 0.0386835
ema21_ema50_diff : 0.0287294
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.663833
kc_percentage : 1.02994
kc_width_percentage : 0.0942707
15m
ema9 : 0.0691869
ema21 : 0.0683578
ema50 : 0.0658635
price_ema9_diff : -0.0123901
ema9_ema21_diff : 0.0121283
ema21_ema50_diff : 0.0378708
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.554906
kc_percentage : 0.460441
kc_width_percentage : 0.0435047
5m
ema9 : 0.0688141
ema21 : 0.0691711
ema50 : 0.0687652
price_ema9_diff : -0.00685428
ema9_ema21_diff : -0.00516196
ema21_ema50_diff : 0.00590363
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.329364
kc_percentage : -0.15336
kc_width_percentage : 0.0183003

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 19:26:04	09 Apr 2025 19:50:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.06834	0.06783	0.06911	1.51	0.03152

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 0.06834
Stop Loss: 0.06783
Take Profit: 0.06911

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.06783 - 0.06834 = -0.00051
Récompense (distance jusqu'au take profit):

E - TP = 0.06834 - 0.06911 = -0.00077000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00077000000000001 / -0.00051 = 1.5098

📌 Position Size

Amount	Margin	Quantity	Leverage
1064.8144	100	15581.1291	10.65

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 -0.00051

Taille de position = 8 / -0.00051 = -15686.27

Taille de position USD = -15686.27 x 0.06834 = -1072

Donc, tu peux acheter -15686.27 avec un stoploss a 0.06783

Avec un position size USD de -1072$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -15686.27 x -0.00051 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -15686.27 x -0.00077000000000001 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

Taille de position -15686.27
Taille de position USD -1072
Perte potentielle 8
Gain potentiel 12.08
Risk-Reward Ratio 1.5098

📌 Peformances

TP % Target	TP $ Target
1.13 %	12 $

SL % Target	SL $ Target
0.75 %	7.95 $

PNL	PNL %
-7.95 $	-0.75

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.76090137547555 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06911
            [entry_price] => 0.06834
            [stop_loss] => 0.067779
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06911
            [entry_price] => 0.06834
            [stop_loss] => 0.067728
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06911
            [entry_price] => 0.06834
            [stop_loss] => 0.067677
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06911
            [entry_price] => 0.06834
            [stop_loss] => 0.067575
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00012
            [max_drawdown] => 0.00147
            [rr_ratio] => 0.08
            [high] => 0.06846000
            [low] => 0.06687000
            [mfe_pct] => 0.18
            [mae_pct] => 2.15
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T19:26:04-04:00
            [end_at] => 2025-04-09T21:26:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00012
            [max_drawdown] => 0.0021
            [rr_ratio] => 0.06
            [high] => 0.06846000
            [low] => 0.06624000
            [mfe_pct] => 0.18
            [mae_pct] => 3.07
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T19:26:04-04:00
            [end_at] => 2025-04-10T01:26:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.07099000
            [high_after] => 0.06846000
            [low_before] => 0.06797000
            [low_after] => 0.06624000
            [is_new_high] => 
            [is_new_low] => 
        )

)