Short Trade on UNI

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Short Trade on UNI 27 Apr 2025 at 14:48:42

Take profit at 5.5712 (0.57 %) and Stop Loss at 5.6242 (0.38 %)

Short Trade on UNI

The 27 Apr 2025 at 14:48:42

With 377.8525 UNI at 5.603$ per unit.

Position size of 2117.1074 $

Take profit at 5.5712 (0.57 %) and Stop Loss at 5.6242 (0.38 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -70

ML Pullback Score: 6.46

Prediction Score: -2.4911

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: 0.2
atr: 0.01411485644

Details

score: 1.2
1H
ema9 : 5.61456
ema21 : 5.68124
ema50 : 5.75866
price_ema9_diff : -0.00203483
ema9_ema21_diff : -0.0117372
ema21_ema50_diff : -0.0134445
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.387485
kc_percentage : 0.203791
kc_width_percentage : 0.0444915
15m
ema9 : 5.57079
ema21 : 5.58378
ema50 : 5.63684
price_ema9_diff : 0.00576793
ema9_ema21_diff : -0.00232605
ema21_ema50_diff : -0.00941419
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.518936
kc_percentage : 0.68993
kc_width_percentage : 0.01978
5m
ema9 : 5.57444
ema21 : 5.56461
ema50 : 5.5733
price_ema9_diff : 0.00513095
ema9_ema21_diff : 0.00176645
ema21_ema50_diff : -0.00155885
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.683762
kc_percentage : 1.20153
kc_width_percentage : 0.00967847

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:48:42	27 Apr 2025 15:50:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.603	5.6242	5.5712	1.5	3.804

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 5.603
Stop Loss: 5.6242
Take Profit: 5.5712

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.6242 - 5.603 = 0.0212
Récompense (distance jusqu'au take profit):

E - TP = 5.603 - 5.5712 = 0.0318
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0318 / 0.0212 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2117.1074	100	377.8525	21.17

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 0.0212

Taille de position = 8 / 0.0212 = 377.36

Taille de position USD = 377.36 x 5.603 = 2114.35

Donc, tu peux acheter 377.36 avec un stoploss a 5.6242

Avec un position size USD de 2114.35$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 377.36 x 0.0212 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 377.36 x 0.0318 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 377.36
Taille de position USD 2114.35
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.57 %	12.02 $

SL % Target	SL $ Target
0.38 %	8.01 $

PNL	PNL %
-7.93 $	-0.37

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.42834195966447 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.571
            [entry_price] => 5.603
            [stop_loss] => 5.6261
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 15:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.571
            [entry_price] => 5.603
            [stop_loss] => 5.6282
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 16:20:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 5.571
            [entry_price] => 5.603
            [stop_loss] => 5.6303
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 16:20:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 5.571
            [entry_price] => 5.603
            [stop_loss] => 5.6345
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 16:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.037999999999999
            [max_drawdown] => 0.025
            [rr_ratio] => 1.52
            [high] => 5.62800000
            [low] => 5.56500000
            [mfe_pct] => 0.68
            [mae_pct] => 0.45
            [mfe_mae_ratio] => 1.52
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:48:42-04:00
            [end_at] => 2025-04-27T16:48:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.155
            [max_drawdown] => 0.025
            [rr_ratio] => 6.2
            [high] => 5.62800000
            [low] => 5.44800000
            [mfe_pct] => 2.77
            [mae_pct] => 0.45
            [mfe_mae_ratio] => 6.2
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:48:42-04:00
            [end_at] => 2025-04-27T20:48:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.60800000
            [high_after] => 5.62800000
            [low_before] => 5.51100000
            [low_after] => 5.44800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)