Short Trade on APT

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Short Trade on APT 16 Apr 2025 at 10:30:35

Take profit at 4.5943 (0.93 %) and Stop Loss at 4.6658 (0.62 %)

Short Trade on APT

The 16 Apr 2025 at 10:30:35

With 279.8935 APT at 4.6372$ per unit.

Position size of 1297.9224 $

Take profit at 4.5943 (0.93 %) and Stop Loss at 4.6658 (0.62 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 3.39

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: 0.01905486357

Details

score: 1.01
1H
ema9 : 4.6165
ema21 : 4.64498
ema50 : 4.70913
price_ema9_diff : 0.00445588
ema9_ema21_diff : -0.0061316
ema21_ema50_diff : -0.0136226
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.472339
kc_percentage : 0.479216
kc_width_percentage : 0.0561023
15m
ema9 : 4.6044
ema21 : 4.60752
ema50 : 4.62757
price_ema9_diff : 0.00711836
ema9_ema21_diff : -0.000678481
ema21_ema50_diff : -0.00433202
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.548096
kc_percentage : 0.72451
kc_width_percentage : 0.0291959
5m
ema9 : 4.60976
ema21 : 4.59766
ema50 : 4.60062
price_ema9_diff : 0.00596749
ema9_ema21_diff : 0.00263231
ema21_ema50_diff : -0.000644172
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.638229
kc_percentage : 1.00834
kc_width_percentage : 0.0166304

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 10:30:35	16 Apr 2025 10:35:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.6372	4.6658	4.5943	1.5	0.9429

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 4.6372
Stop Loss: 4.6658
Take Profit: 4.5943

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.6658 - 4.6372 = 0.0286
Récompense (distance jusqu'au take profit):

E - TP = 4.6372 - 4.5943 = 0.0429
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0429 / 0.0286 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1297.9224	100	279.8935	12.98

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 0.0286

Taille de position = 8 / 0.0286 = 279.72

Taille de position USD = 279.72 x 4.6372 = 1297.12

Donc, tu peux acheter 279.72 avec un stoploss a 4.6658

Avec un position size USD de 1297.12$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 279.72 x 0.0286 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 279.72 x 0.0429 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 279.72
Taille de position USD 1297.12
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.93 %	12.01 $

SL % Target	SL $ Target
0.62 %	8 $

PNL	PNL %
-8.12 $	-0.63

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.77420746172096 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.594
            [entry_price] => 4.637
            [stop_loss] => 4.6689
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.594
            [entry_price] => 4.637
            [stop_loss] => 4.6718
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.594
            [entry_price] => 4.637
            [stop_loss] => 4.6747
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 11:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.594
            [entry_price] => 4.637
            [stop_loss] => 4.6805
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 11:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0254
            [max_drawdown] => 0.0773
            [rr_ratio] => 0.33
            [high] => 4.71450000
            [low] => 4.61180000
            [mfe_pct] => 0.55
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 0.33
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T10:30:35-04:00
            [end_at] => 2025-04-16T12:30:35-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1453
            [max_drawdown] => 0.0773
            [rr_ratio] => 1.88
            [high] => 4.71450000
            [low] => 4.49190000
            [mfe_pct] => 3.13
            [mae_pct] => 1.67
            [mfe_mae_ratio] => 1.88
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T10:30:35-04:00
            [end_at] => 2025-04-16T16:30:35-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.66400000
            [high_after] => 4.71450000
            [low_before] => 4.53880000
            [low_after] => 4.49190000
            [is_new_high] => 
            [is_new_low] => 1
        )

)