Short Trade on APT

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Short Trade on APT 22 Apr 2025 at 03:41:08

Take profit at 4.8152 (0.79 %) and Stop Loss at 4.8787 (0.52 %)

Short Trade on APT

The 22 Apr 2025 at 03:41:08

With 314.8871 APT at 4.8533$ per unit.

Position size of 1528.2414 $

Take profit at 4.8152 (0.79 %) and Stop Loss at 4.8787 (0.52 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.59

Prediction Score: -4.2704

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: 0.05
atr: 0.01693728885

Details

score: 1.05
1H
ema9 : 4.86807
ema21 : 4.93925
ema50 : 4.96506
price_ema9_diff : -0.00299143
ema9_ema21_diff : -0.0144108
ema21_ema50_diff : -0.00519919
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.379744
kc_percentage : 0.171486
kc_width_percentage : 0.0513767
15m
ema9 : 4.81542
ema21 : 4.83547
ema50 : 4.89617
price_ema9_diff : 0.00783291
ema9_ema21_diff : -0.00414694
ema21_ema50_diff : -0.012398
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.514239
kc_percentage : 0.677758
kc_width_percentage : 0.0230612
5m
ema9 : 4.8248
ema21 : 4.81372
ema50 : 4.82661
price_ema9_diff : 0.00591856
ema9_ema21_diff : 0.00230222
ema21_ema50_diff : -0.00266971
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.653765
kc_percentage : 1.04875
kc_width_percentage : 0.0148188

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Apr 2025 03:41:08	22 Apr 2025 03:45:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.8533	4.8787	4.8152	1.5	0.9904

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 4.8533
Stop Loss: 4.8787
Take Profit: 4.8152

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.8787 - 4.8533 = 0.0254
Récompense (distance jusqu'au take profit):

E - TP = 4.8533 - 4.8152 = 0.0381
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0381 / 0.0254 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1528.2414	100	314.8871	15.28

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 0.0254

Taille de position = 8 / 0.0254 = 314.96

Taille de position USD = 314.96 x 4.8533 = 1528.6

Donc, tu peux acheter 314.96 avec un stoploss a 4.8787

Avec un position size USD de 1528.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 314.96 x 0.0254 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 314.96 x 0.0381 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 314.96
Taille de position USD 1528.6
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.79 %	12 $

SL % Target	SL $ Target
0.52 %	8 $

PNL	PNL %
-8.19 $	-0.54

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.7315062847723 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.815
            [entry_price] => 4.853
            [stop_loss] => 4.8816
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 03:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.815
            [entry_price] => 4.853
            [stop_loss] => 4.8842
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 03:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.815
            [entry_price] => 4.853
            [stop_loss] => 4.8868
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 03:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.815
            [entry_price] => 4.853
            [stop_loss] => 4.892
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 06:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0229
            [max_drawdown] => 0.0352
            [rr_ratio] => 0.65
            [high] => 4.88850000
            [low] => 4.83040000
            [mfe_pct] => 0.47
            [mae_pct] => 0.73
            [mfe_mae_ratio] => 0.65
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T03:41:08-04:00
            [end_at] => 2025-04-22T05:41:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0229
            [max_drawdown] => 0.2145
            [rr_ratio] => 0.11
            [high] => 5.06780000
            [low] => 4.83040000
            [mfe_pct] => 0.47
            [mae_pct] => 4.42
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T03:41:08-04:00
            [end_at] => 2025-04-22T09:41:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.89000000
            [high_after] => 5.06780000
            [low_before] => 4.76470000
            [low_after] => 4.83040000
            [is_new_high] => 
            [is_new_low] => 
        )

)