Short Trade on PARTI

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Short Trade on PARTI 10 Apr 2025 at 14:04:37

Take profit at 0.1762 (1.34 %) and Stop Loss at 0.1802 (0.9 %)

Short Trade on PARTI

The 10 Apr 2025 at 14:04:37

With 5091.6586 PARTI at 0.1786$ per unit.

Position size of 909.3702 $

Take profit at 0.1762 (1.34 %) and Stop Loss at 0.1802 (0.9 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 4.41

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: 0.01
atr: 0.001047464838

Details

score: 1.01
1H
ema9 : 0.179883
ema21 : 0.184527
ema50 : 0.184609
price_ema9_diff : -0.00695306
ema9_ema21_diff : -0.0251696
ema21_ema50_diff : -0.000443052
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.370152
kc_percentage : 0.177325
kc_width_percentage : 0.0991545
15m
ema9 : 0.17676
ema21 : 0.177892
ema50 : 0.182451
price_ema9_diff : 0.0103378
ema9_ema21_diff : -0.00636201
ema21_ema50_diff : -0.024988
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.489034
kc_percentage : 0.609728
kc_width_percentage : 0.0439182
5m
ema9 : 0.17708
ema21 : 0.17641
ema50 : 0.177147
price_ema9_diff : 0.00861351
ema9_ema21_diff : 0.00379841
ema21_ema50_diff : -0.0041597
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.637486
kc_percentage : 1.01307
kc_width_percentage : 0.0237229

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 14:04:37	10 Apr 2025 14:15:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1786	0.1802	0.1762	1.5	0.09699

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 0.1786
Stop Loss: 0.1802
Take Profit: 0.1762

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1802 - 0.1786 = 0.0016
Récompense (distance jusqu'au take profit):

E - TP = 0.1786 - 0.1762 = 0.0024
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0024 / 0.0016 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
909.3702	100	5091.6586	9.09

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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.1786 = 893

Donc, tu peux acheter 5000 avec un stoploss a 0.1802

Avec un position size USD de 893$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 5000
Taille de position USD 893
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.34 %	12.22 $

SL % Target	SL $ Target
0.9 %	8.15 $

PNL	PNL %
-8.15 $	-0.90

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0078387458007 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1762
            [entry_price] => 0.1786
            [stop_loss] => 0.18036
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 14:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1762
            [entry_price] => 0.1786
            [stop_loss] => 0.18052
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 14:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1762
            [entry_price] => 0.1786
            [stop_loss] => 0.18068
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 14:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1762
            [entry_price] => 0.1786
            [stop_loss] => 0.181
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 14:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0031
            [max_drawdown] => 0.0024
            [rr_ratio] => 1.29
            [high] => 0.18100000
            [low] => 0.17550000
            [mfe_pct] => 1.74
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 1.29
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T14:04:37-04:00
            [end_at] => 2025-04-10T16:04:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0055
            [max_drawdown] => 0.0024
            [rr_ratio] => 2.29
            [high] => 0.18100000
            [low] => 0.17310000
            [mfe_pct] => 3.08
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 2.29
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T14:04:37-04:00
            [end_at] => 2025-04-10T20:04:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.17940000
            [high_after] => 0.18100000
            [low_before] => 0.17370000
            [low_after] => 0.17310000
            [is_new_high] => 
            [is_new_low] => 1
        )

)