Long Trade on APT

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Long Trade on APT 09 Apr 2025 at 19:25:39

Take profit at 4.7547 (0.7 %) and Stop Loss at 4.6996 (0.47 %)

Long Trade on APT

The 09 Apr 2025 at 19:25:39

With 362.8385 APT at 4.7216$ per unit.

Position size of 1713.178 $

Take profit at 4.7547 (0.7 %) and Stop Loss at 4.6996 (0.47 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.23

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: 0.09
atr: 0.01469891975

Details

score: 2.09
1H
ema9 : 4.67301
ema21 : 4.55692
ema50 : 4.48968
price_ema9_diff : 0.0106627
ema9_ema21_diff : 0.0254753
ema21_ema50_diff : 0.0149766
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.639979
kc_percentage : 0.945844
kc_width_percentage : 0.0753808
15m
ema9 : 4.75448
ema21 : 4.72471
ema50 : 4.60788
price_ema9_diff : -0.00695933
ema9_ema21_diff : 0.0063001
ema21_ema50_diff : 0.0253537
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.544801
kc_percentage : 0.44464
kc_width_percentage : 0.0282334
5m
ema9 : 4.7372
ema21 : 4.75343
ema50 : 4.74275
price_ema9_diff : -0.00328303
ema9_ema21_diff : -0.00341417
ema21_ema50_diff : 0.00225116
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.297461
kc_percentage : -0.0855795
kc_width_percentage : 0.0112224

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 19:25:39	09 Apr 2025 20:30:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.7216	4.6996	4.7547	1.5	0.9731

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 4.7216
Stop Loss: 4.6996
Take Profit: 4.7547

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.6996 - 4.7216 = -0.021999999999999
Récompense (distance jusqu'au take profit):

E - TP = 4.7216 - 4.7547 = -0.0331
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0331 / -0.021999999999999 = 1.5045

📌 Position Size

Amount	Margin	Quantity	Leverage
1713.178	100	362.8385	17.13

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 -0.021999999999999

Taille de position = 8 / -0.021999999999999 = -363.64

Taille de position USD = -363.64 x 4.7216 = -1716.96

Donc, tu peux acheter -363.64 avec un stoploss a 4.6996

Avec un position size USD de -1716.96$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -363.64 x -0.021999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -363.64 x -0.0331 = 12.04

Si Take Profit atteint, tu gagneras 12.04$

Résumé

Taille de position -363.64
Taille de position USD -1716.96
Perte potentielle 8
Gain potentiel 12.04
Risk-Reward Ratio 1.5045

📌 Peformances

TP % Target	TP $ Target
0.7 %	12.01 $

SL % Target	SL $ Target
0.47 %	7.98 $

PNL	PNL %
-7.98 $	-0.47

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.63108852181281 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.755
            [entry_price] => 4.722
            [stop_loss] => 4.6978
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.755
            [entry_price] => 4.722
            [stop_loss] => 4.6956
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.755
            [entry_price] => 4.722
            [stop_loss] => 4.6934
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.755
            [entry_price] => 4.722
            [stop_loss] => 4.689
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 20:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0141
            [max_drawdown] => 0.0664
            [rr_ratio] => 0.21
            [high] => 4.73570000
            [low] => 4.65520000
            [mfe_pct] => 0.3
            [mae_pct] => 1.41
            [mfe_mae_ratio] => 0.21
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T19:25:39-04:00
            [end_at] => 2025-04-09T21:25:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0141
            [max_drawdown] => 0.1378
            [rr_ratio] => 0.1
            [high] => 4.73570000
            [low] => 4.58380000
            [mfe_pct] => 0.3
            [mae_pct] => 2.92
            [mfe_mae_ratio] => 0.1
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T19:25:39-04:00
            [end_at] => 2025-04-10T01:25:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.83110000
            [high_after] => 4.73570000
            [low_before] => 4.71590000
            [low_after] => 4.58380000
            [is_new_high] => 
            [is_new_low] => 
        )

)