Short Trade on CATI

Previous Trade Next Trade

Short Trade on CATI 10 Apr 2025 at 12:39:03

Take profit at 0.08443 (1.94 %) and Stop Loss at 0.08722 (1.3 %)

Short Trade on CATI

The 10 Apr 2025 at 12:39:03

With 7167.0185 CATI at 0.0861$ per unit.

Position size of 617.0803 $

Take profit at 0.08443 (1.94 %) and Stop Loss at 0.08722 (1.3 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.55

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: 0.09
atr: 0.0007441495124

Details

score: 1.09
1H
ema9 : 0.0847689
ema21 : 0.0879682
ema50 : 0.091833
price_ema9_diff : 0.0151305
ema9_ema21_diff : -0.0363682
ema21_ema50_diff : -0.0420849
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.434377
kc_percentage : 0.362341
kc_width_percentage : 0.137965
15m
ema9 : 0.0842024
ema21 : 0.0838896
ema50 : 0.0858212
price_ema9_diff : 0.0226194
ema9_ema21_diff : 0.00372909
ema21_ema50_diff : -0.0225069
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.614227
kc_percentage : 0.931715
kc_width_percentage : 0.0599488
5m
ema9 : 0.0851261
ema21 : 0.0841838
ema50 : 0.0836849
price_ema9_diff : 0.0115685
ema9_ema21_diff : 0.0111935
ema21_ema50_diff : 0.00596052
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.722508
kc_percentage : 1.09087
kc_width_percentage : 0.0367481

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 12:39:03	10 Apr 2025 13:50:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0861	0.08722	0.08443	1.49	0.03869

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 0.0861
Stop Loss: 0.08722
Take Profit: 0.08443

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08722 - 0.0861 = 0.00112
Récompense (distance jusqu'au take profit):

E - TP = 0.0861 - 0.08443 = 0.00167
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00167 / 0.00112 = 1.4911

📌 Position Size

Amount	Margin	Quantity	Leverage
617.0803	100	7167.0185	6.17

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 0.00112

Taille de position = 8 / 0.00112 = 7142.86

Taille de position USD = 7142.86 x 0.0861 = 615

Donc, tu peux acheter 7142.86 avec un stoploss a 0.08722

Avec un position size USD de 615$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7142.86 x 0.00112 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7142.86 x 0.00167 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

Taille de position 7142.86
Taille de position USD 615
Perte potentielle 8
Gain potentiel 11.93
Risk-Reward Ratio 1.4911

📌 Peformances

TP % Target	TP $ Target
1.94 %	11.97 $

SL % Target	SL $ Target
1.3 %	8.03 $

PNL	PNL %
-8.03 $	-1.30

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.9036004645761 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08443
            [entry_price] => 0.0861
            [stop_loss] => 0.087332
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08443
            [entry_price] => 0.0861
            [stop_loss] => 0.087444
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08443
            [entry_price] => 0.0861
            [stop_loss] => 0.087556
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08443
            [entry_price] => 0.0861
            [stop_loss] => 0.08778
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 13:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0013
            [max_drawdown] => 0.0061
            [rr_ratio] => 0.21
            [high] => 0.09220000
            [low] => 0.08480000
            [mfe_pct] => 1.51
            [mae_pct] => 7.08
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T12:39:04-04:00
            [end_at] => 2025-04-10T14:39:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0039
            [max_drawdown] => 0.0061
            [rr_ratio] => 0.64
            [high] => 0.09220000
            [low] => 0.08220000
            [mfe_pct] => 4.53
            [mae_pct] => 7.08
            [mfe_mae_ratio] => 0.64
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T12:39:04-04:00
            [end_at] => 2025-04-10T18:39:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08670000
            [high_after] => 0.09220000
            [low_before] => 0.08130000
            [low_after] => 0.08220000
            [is_new_high] => 
            [is_new_low] => 
        )

)