Short Trade on KAS

Previous Trade Next Trade

Short Trade on KAS 26 Apr 2025 at 18:12:01

Take profit at 0.09982 (0.58 %) and Stop Loss at 0.1009 (0.5 %)

Short Trade on KAS

The 26 Apr 2025 at 18:12:01

With 19176.961 KAS at 0.1004$ per unit.

Position size of 1926.3257 $

Take profit at 0.09982 (0.58 %) and Stop Loss at 0.1009 (0.5 %)

That's a 1.16 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 3.47

Prediction Score: -7.8242

Prediction 1	Probability
Weak 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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.04
atr: 0.0002781114969

Details

score: 1.04
1H
ema9 : 0.100401
ema21 : 0.101488
ema50 : 0.101498
price_ema9_diff : 0.000476529
ema9_ema21_diff : -0.010709
ema21_ema50_diff : -9.61798E-5
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.447092
kc_percentage : 0.352962
kc_width_percentage : 0.0661558
15m
ema9 : 0.0998531
ema21 : 0.0999887
ema50 : 0.100861
price_ema9_diff : 0.0059694
ema9_ema21_diff : -0.00135673
ema21_ema50_diff : -0.00865438
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.537815
kc_percentage : 0.694338
kc_width_percentage : 0.0246827
5m
ema9 : 0.100085
ema21 : 0.0998778
ema50 : 0.0998941
price_ema9_diff : 0.00364894
ema9_ema21_diff : 0.00207978
ema21_ema50_diff : -0.000163185
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.656528
kc_percentage : 1.03709
kc_width_percentage : 0.0104958

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
26 Apr 2025 18:12:01	26 Apr 2025 18:20:00	7 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1004	0.1009	0.09982	1.16	0.03149

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 0.1004
Stop Loss: 0.1009
Take Profit: 0.09982

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1009 - 0.1004 = 0.0005
Récompense (distance jusqu'au take profit):

E - TP = 0.1004 - 0.09982 = 0.00058
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00058 / 0.0005 = 1.16

📌 Position Size

Amount	Margin	Quantity	Leverage
1926.3257	100	19176.961	19.26

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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1004 = 1606.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1009

Avec un position size USD de 1606.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00058 = 9.28

Si Take Profit atteint, tu gagneras 9.28$

Résumé

Taille de position 16000
Taille de position USD 1606.4
Perte potentielle 8
Gain potentiel 9.28
Risk-Reward Ratio 1.16

📌 Peformances

TP % Target	TP $ Target
0.58 %	11.12 $

SL % Target	SL $ Target
0.5 %	9.59 $

PNL	PNL %
-9.59 $	-0.50

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.49800796812749 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.09982
            [entry_price] => 0.1004
            [stop_loss] => 0.10095
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-26 20:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.09982
            [entry_price] => 0.1004
            [stop_loss] => 0.101
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-26 20:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.09982
            [entry_price] => 0.1004
            [stop_loss] => 0.10105
            [rr_ratio] => 0.89
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-26 20:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.09982
            [entry_price] => 0.1004
            [stop_loss] => 0.10115
            [rr_ratio] => 0.77
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-26 20:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00013000000000001
            [max_drawdown] => 0.00053
            [rr_ratio] => 0.25
            [high] => 0.10093000
            [low] => 0.10027000
            [mfe_pct] => 0.13
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-04-26T18:12:01-04:00
            [end_at] => 2025-04-26T20:12:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0023
            [max_drawdown] => 0.00109
            [rr_ratio] => 2.11
            [high] => 0.10149000
            [low] => 0.09810000
            [mfe_pct] => 2.29
            [mae_pct] => 1.09
            [mfe_mae_ratio] => 2.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-26T18:12:01-04:00
            [end_at] => 2025-04-27T00:12:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.10103000
            [high_after] => 0.10149000
            [low_before] => 0.09879000
            [low_after] => 0.09810000
            [is_new_high] => 
            [is_new_low] => 1
        )

)