Short Trade on CATI

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Short Trade on CATI 10 Apr 2025 at 12:26:52

Take profit at 0.08416 (1.91 %) and Stop Loss at 0.08689 (1.27 %)

Short Trade on CATI

The 10 Apr 2025 at 12:26:52

With 7319.1159 CATI at 0.0858$ per unit.

Position size of 627.9801 $

Take profit at 0.08416 (1.91 %) and Stop Loss at 0.08689 (1.27 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.5

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 - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.14
atr: 0.0007286854645

Details

score: 1.14
1H
ema9 : 0.0847089
ema21 : 0.0879409
ema50 : 0.0918212
price_ema9_diff : 0.0124061
ema9_ema21_diff : -0.0367516
ema21_ema50_diff : -0.0422592
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.427565
kc_percentage : 0.3373
kc_width_percentage : 0.136583
15m
ema9 : 0.083808
ema21 : 0.0837049
ema50 : 0.0858255
price_ema9_diff : 0.0237969
ema9_ema21_diff : 0.00123196
ema21_ema50_diff : -0.0247077
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.600233
kc_percentage : 0.911997
kc_width_percentage : 0.0601086
5m
ema9 : 0.0845583
ema21 : 0.0837777
ema50 : 0.0834813
price_ema9_diff : 0.0148213
ema9_ema21_diff : 0.00931687
ema21_ema50_diff : 0.00355044
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.747349
kc_percentage : 1.13693
kc_width_percentage : 0.0363753

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 12:26:52	10 Apr 2025 13:45:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0858	0.08689	0.08416	1.5	0.03882

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 0.0858
Stop Loss: 0.08689
Take Profit: 0.08416

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08689 - 0.0858 = 0.00109
Récompense (distance jusqu'au take profit):

E - TP = 0.0858 - 0.08416 = 0.00164
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00164 / 0.00109 = 1.5046

📌 Position Size

Amount	Margin	Quantity	Leverage
627.9801	100	7319.1159	6.28

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 0.00109

Taille de position = 8 / 0.00109 = 7339.45

Taille de position USD = 7339.45 x 0.0858 = 629.72

Donc, tu peux acheter 7339.45 avec un stoploss a 0.08689

Avec un position size USD de 629.72$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7339.45 x 0.00109 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7339.45 x 0.00164 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

Taille de position 7339.45
Taille de position USD 629.72
Perte potentielle 8
Gain potentiel 12.04
Risk-Reward Ratio 1.5046

📌 Peformances

TP % Target	TP $ Target
1.91 %	12 $

SL % Target	SL $ Target
1.27 %	7.98 $

PNL	PNL %
-7.98 $	-1.27

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6317016317016 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08416
            [entry_price] => 0.0858
            [stop_loss] => 0.086999
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 13:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08416
            [entry_price] => 0.0858
            [stop_loss] => 0.087108
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 13:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08416
            [entry_price] => 0.0858
            [stop_loss] => 0.087217
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08416
            [entry_price] => 0.0858
            [stop_loss] => 0.087435
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.005
            [rr_ratio] => 0.2
            [high] => 0.09080000
            [low] => 0.08480000
            [mfe_pct] => 1.17
            [mae_pct] => 5.83
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T12:26:52-04:00
            [end_at] => 2025-04-10T14:26:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0036
            [max_drawdown] => 0.0064
            [rr_ratio] => 0.56
            [high] => 0.09220000
            [low] => 0.08220000
            [mfe_pct] => 4.2
            [mae_pct] => 7.46
            [mfe_mae_ratio] => 0.56
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T12:26:52-04:00
            [end_at] => 2025-04-10T18:26:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08630000
            [high_after] => 0.09220000
            [low_before] => 0.08130000
            [low_after] => 0.08220000
            [is_new_high] => 
            [is_new_low] => 
        )

)