Short Trade on CATI

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Short Trade on CATI 10 Apr 2025 at 12:14:24

Take profit at 0.0834 (1.88 %) and Stop Loss at 0.08606 (1.25 %)

Short Trade on CATI

The 10 Apr 2025 at 12:14:24

With 7514.6277 CATI at 0.085$ per unit.

Position size of 638.7434 $

Take profit at 0.0834 (1.88 %) and Stop Loss at 0.08606 (1.25 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.27

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: 0.08
atr: 0.0007097268901

Details

score: 1.08
1H
ema9 : 0.0845489
ema21 : 0.0878682
ema50 : 0.0917898
price_ema9_diff : 0.00513276
ema9_ema21_diff : -0.0377753
ema21_ema50_diff : -0.0427242
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.408571
kc_percentage : 0.273213
kc_width_percentage : 0.136457
15m
ema9 : 0.08331
ema21 : 0.0834954
ema50 : 0.0858265
price_ema9_diff : 0.0202394
ema9_ema21_diff : -0.00221992
ema21_ema50_diff : -0.0271605
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.564518
kc_percentage : 0.800522
kc_width_percentage : 0.0606186
5m
ema9 : 0.083631
ema21 : 0.0832034
ema50 : 0.0832305
price_ema9_diff : 0.0164529
ema9_ema21_diff : 0.00513966
ema21_ema50_diff : -0.000326225
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.709274
kc_percentage : 1.079
kc_width_percentage : 0.0362434

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 12:14:24	10 Apr 2025 12:25:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.085	0.08606	0.0834	1.51	0.03835

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 0.085
Stop Loss: 0.08606
Take Profit: 0.0834

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08606 - 0.085 = 0.00106
Récompense (distance jusqu'au take profit):

E - TP = 0.085 - 0.0834 = 0.0016
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0016 / 0.00106 = 1.5094

📌 Position Size

Amount	Margin	Quantity	Leverage
638.7434	100	7514.6277	6.39

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 0.00106

Taille de position = 8 / 0.00106 = 7547.17

Taille de position USD = 7547.17 x 0.085 = 641.51

Donc, tu peux acheter 7547.17 avec un stoploss a 0.08606

Avec un position size USD de 641.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7547.17 x 0.00106 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7547.17 x 0.0016 = 12.08

Si Take Profit atteint, tu gagneras 12.08$

Résumé

Taille de position 7547.17
Taille de position USD 641.51
Perte potentielle 8
Gain potentiel 12.08
Risk-Reward Ratio 1.5094

📌 Peformances

TP % Target	TP $ Target
1.88 %	12.02 $

SL % Target	SL $ Target
1.25 %	7.97 $

PNL	PNL %
-7.97 $	-1.25

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.5294117647059 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0834
            [entry_price] => 0.085
            [stop_loss] => 0.086166
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 12:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0834
            [entry_price] => 0.085
            [stop_loss] => 0.086272
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 12:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0834
            [entry_price] => 0.085
            [stop_loss] => 0.086378
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 12:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0834
            [entry_price] => 0.085
            [stop_loss] => 0.08659
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 12:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00020000000000001
            [max_drawdown] => 0.0047
            [rr_ratio] => 0.04
            [high] => 0.08970000
            [low] => 0.08480000
            [mfe_pct] => 0.24
            [mae_pct] => 5.53
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T12:14:24-04:00
            [end_at] => 2025-04-10T14:14:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.0072
            [rr_ratio] => 0.39
            [high] => 0.09220000
            [low] => 0.08220000
            [mfe_pct] => 3.29
            [mae_pct] => 8.47
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T12:14:24-04:00
            [end_at] => 2025-04-10T18:14:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08600000
            [high_after] => 0.09220000
            [low_before] => 0.08130000
            [low_after] => 0.08220000
            [is_new_high] => 
            [is_new_low] => 
        )

)