Short Trade on CATI

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Short Trade on CATI 10 Apr 2025 at 13:54:25

Take profit at 0.08624 (1.78 %) and Stop Loss at 0.08884 (1.18 %)

Short Trade on CATI

The 10 Apr 2025 at 13:54:25

With 7704.7372 CATI at 0.0878$ per unit.

Position size of 676.4759 $

Take profit at 0.08624 (1.78 %) and Stop Loss at 0.08884 (1.18 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.78

Prediction Score:

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: 0.23
atr: 0.0006922148278

Details

score: 1.23
1H
ema9 : 0.0852471
ema21 : 0.0878866
ema50 : 0.0916025
price_ema9_diff : 0.0290465
ema9_ema21_diff : -0.0300327
ema21_ema50_diff : -0.0405649
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.473898
kc_percentage : 0.51077
kc_width_percentage : 0.134977
15m
ema9 : 0.0856756
ema21 : 0.0847685
ema50 : 0.0858748
price_ema9_diff : 0.0250609
ema9_ema21_diff : 0.0107005
ema21_ema50_diff : -0.0128831
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.665981
kc_percentage : 1.07457
kc_width_percentage : 0.059577
5m
ema9 : 0.0864004
ema21 : 0.0856937
ema50 : 0.0847369
price_ema9_diff : 0.016332
ema9_ema21_diff : 0.00824713
ema21_ema50_diff : 0.011291
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.714915
kc_percentage : 1.23435
kc_width_percentage : 0.0318722

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 13:54:25	10 Apr 2025 14:00:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0878	0.08884	0.08624	1.5	0.03837

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 0.0878
Stop Loss: 0.08884
Take Profit: 0.08624

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08884 - 0.0878 = 0.00104
Récompense (distance jusqu'au take profit):

E - TP = 0.0878 - 0.08624 = 0.00156
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00156 / 0.00104 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
676.4759	100	7704.7372	6.76

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 0.00104

Taille de position = 8 / 0.00104 = 7692.31

Taille de position USD = 7692.31 x 0.0878 = 675.38

Donc, tu peux acheter 7692.31 avec un stoploss a 0.08884

Avec un position size USD de 675.38$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7692.31 x 0.00104 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7692.31 x 0.00156 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 7692.31
Taille de position USD 675.38
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.78 %	12.02 $

SL % Target	SL $ Target
1.18 %	8.01 $

PNL	PNL %
-8.01 $	-1.18

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.1640091116173 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.0878
            [stop_loss] => 0.088944
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 14:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.0878
            [stop_loss] => 0.089048
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 14:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.0878
            [stop_loss] => 0.089152
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 14:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08624
            [entry_price] => 0.0878
            [stop_loss] => 0.08936
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 14:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.0044
            [rr_ratio] => 1.27
            [high] => 0.09220000
            [low] => 0.08220000
            [mfe_pct] => 6.38
            [mae_pct] => 5.01
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T13:54:25-04:00
            [end_at] => 2025-04-10T15:54:25-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.0044
            [rr_ratio] => 1.27
            [high] => 0.09220000
            [low] => 0.08220000
            [mfe_pct] => 6.38
            [mae_pct] => 5.01
            [mfe_mae_ratio] => 1.27
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T13:54:25-04:00
            [end_at] => 2025-04-10T19:54:25-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08860000
            [high_after] => 0.09220000
            [low_before] => 0.08160000
            [low_after] => 0.08220000
            [is_new_high] => 
            [is_new_low] => 
        )

)