Long Trade on UNI

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Long Trade on UNI 09 Apr 2025 at 20:17:38

Take profit at 5.4096 (0.74 %) and Stop Loss at 5.3436 (0.49 %)

Long Trade on UNI

The 09 Apr 2025 at 20:17:38

With 302.6496 UNI at 5.37$ per unit.

Position size of 1625.2284 $

Take profit at 5.4096 (0.74 %) and Stop Loss at 5.3436 (0.49 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.12

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0
atr: 0.0176221385

Details

score: 2
1H
ema9 : 5.30634
ema21 : 5.14332
ema50 : 5.0829
price_ema9_diff : 0.0123754
ema9_ema21_diff : 0.0316963
ema21_ema50_diff : 0.0118866
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.676888
kc_percentage : 1.04829
kc_width_percentage : 0.074164
15m
ema9 : 5.40242
ema21 : 5.37251
ema50 : 5.21982
price_ema9_diff : -0.00603505
ema9_ema21_diff : 0.005567
ema21_ema50_diff : 0.029252
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.55318
kc_percentage : 0.449621
kc_width_percentage : 0.0270568
5m
ema9 : 5.38953
ema21 : 5.40451
ema50 : 5.39226
price_ema9_diff : -0.00361405
ema9_ema21_diff : -0.00277221
ema21_ema50_diff : 0.00227263
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.334252
kc_percentage : -0.000240138
kc_width_percentage : 0.0125463

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 20:17:38	09 Apr 2025 20:30:00	12 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.37	5.3436	5.4096	1.5	3.792

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 5.37
Stop Loss: 5.3436
Take Profit: 5.4096

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.3436 - 5.37 = -0.0264
Récompense (distance jusqu'au take profit):

E - TP = 5.37 - 5.4096 = -0.0396
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0396 / -0.0264 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1625.2284	100	302.6496	16.25

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 -0.0264

Taille de position = 8 / -0.0264 = -303.03

Taille de position USD = -303.03 x 5.37 = -1627.27

Donc, tu peux acheter -303.03 avec un stoploss a 5.3436

Avec un position size USD de -1627.27$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -303.03 x -0.0264 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -303.03 x -0.0396 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -303.03
Taille de position USD -1627.27
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.74 %	11.98 $

SL % Target	SL $ Target
0.49 %	7.99 $

PNL	PNL %
-7.87 $	-0.48

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.63314711359404 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.41
            [entry_price] => 5.37
            [stop_loss] => 5.3414
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.41
            [entry_price] => 5.37
            [stop_loss] => 5.3388
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.41
            [entry_price] => 5.37
            [stop_loss] => 5.3362
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.41
            [entry_price] => 5.37
            [stop_loss] => 5.331
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.098
            [rr_ratio] => 0.11
            [high] => 5.38100000
            [low] => 5.27200000
            [mfe_pct] => 0.2
            [mae_pct] => 1.82
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T20:17:38-04:00
            [end_at] => 2025-04-09T22:17:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.18
            [rr_ratio] => 0.06
            [high] => 5.38100000
            [low] => 5.19000000
            [mfe_pct] => 0.2
            [mae_pct] => 3.35
            [mfe_mae_ratio] => 0.06
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T20:17:38-04:00
            [end_at] => 2025-04-10T02:17:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.48600000
            [high_after] => 5.38100000
            [low_before] => 5.36900000
            [low_after] => 5.19000000
            [is_new_high] => 
            [is_new_low] => 
        )

)