Short Trade on KAS

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Short Trade on KAS 27 Apr 2025 at 02:21:34

Take profit at 0.0975 (0.87 %) and Stop Loss at 0.09893 (0.58 %)

Short Trade on KAS

The 27 Apr 2025 at 02:21:34

With 13952.4108 KAS at 0.09836$ per unit.

Position size of 1372.3591 $

Take profit at 0.0975 (0.87 %) and Stop Loss at 0.09893 (0.58 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.42

Prediction Score: 0

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: 0.1
atr: 0.0003822517419

Details

score: 1.1
1H
ema9 : 0.0986503
ema21 : 0.099951
ema50 : 0.10081
price_ema9_diff : -0.00290489
ema9_ema21_diff : -0.0130131
ema21_ema50_diff : -0.00852771
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.418884
kc_percentage : 0.264167
kc_width_percentage : 0.064917
15m
ema9 : 0.0976759
ema21 : 0.0982322
ema50 : 0.0992929
price_ema9_diff : 0.00696335
ema9_ema21_diff : -0.00566294
ema21_ema50_diff : -0.0106827
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.488236
kc_percentage : 0.557232
kc_width_percentage : 0.0310179
5m
ema9 : 0.0976447
ema21 : 0.0974547
ema50 : 0.0979663
price_ema9_diff : 0.00733952
ema9_ema21_diff : 0.00194908
ema21_ema50_diff : -0.00522172
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.627973
kc_percentage : 1.10282
kc_width_percentage : 0.0153626

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 02:21:34	27 Apr 2025 02:50:00	28 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.09836	0.09893	0.0975	1.51	0.0312

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 0.09836
Stop Loss: 0.09893
Take Profit: 0.0975

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.09893 - 0.09836 = 0.00057
Récompense (distance jusqu'au take profit):

E - TP = 0.09836 - 0.0975 = 0.00086
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00086 / 0.00057 = 1.5088

📌 Position Size

Amount	Margin	Quantity	Leverage
1372.3591	100	13952.4108	13.72

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 0.00057

Taille de position = 8 / 0.00057 = 14035.09

Taille de position USD = 14035.09 x 0.09836 = 1380.49

Donc, tu peux acheter 14035.09 avec un stoploss a 0.09893

Avec un position size USD de 1380.49$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 14035.09 x 0.00057 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 14035.09 x 0.00086 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

Taille de position 14035.09
Taille de position USD 1380.49
Perte potentielle 8
Gain potentiel 12.07
Risk-Reward Ratio 1.5088

📌 Peformances

TP % Target	TP $ Target
0.87 %	12 $

SL % Target	SL $ Target
0.58 %	7.95 $

PNL	PNL %
-7.95 $	-0.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.95567303782025 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0975
            [entry_price] => 0.09836
            [stop_loss] => 0.098987
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 02:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0975
            [entry_price] => 0.09836
            [stop_loss] => 0.099044
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 02:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0975
            [entry_price] => 0.09836
            [stop_loss] => 0.099101
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 02:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0975
            [entry_price] => 0.09836
            [stop_loss] => 0.099215
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 02:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00047
            [max_drawdown] => 0.00236
            [rr_ratio] => 0.2
            [high] => 0.10072000
            [low] => 0.09789000
            [mfe_pct] => 0.48
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T02:21:34-04:00
            [end_at] => 2025-04-27T04:21:34-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00103
            [max_drawdown] => 0.00236
            [rr_ratio] => 0.44
            [high] => 0.10072000
            [low] => 0.09733000
            [mfe_pct] => 1.05
            [mae_pct] => 2.4
            [mfe_mae_ratio] => 0.44
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T02:21:34-04:00
            [end_at] => 2025-04-27T08:21:34-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.09945000
            [high_after] => 0.10072000
            [low_before] => 0.09628000
            [low_after] => 0.09733000
            [is_new_high] => 
            [is_new_low] => 
        )

)