Short Trade on TROY

The 09 Apr 2025 at 00:01:49

With 681441.1837 TROY at 0.000443$ per unit.

Position size of 301.8784 $

Take profit at 0.0004254 (3.97 %) and Stop Loss at 0.0004547 (2.64 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 1.11

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: 0.39
atr: 7.826549761E-6

Details

score: 1.39
1H
ema9 - 0.000425623
ema21 - 0.000464529
ema50 - 0.000563266
price_ema9_diff - 0.0374064
ema9_ema21_diff - -0.0837542
ema21_ema50_diff - -0.175293
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.402043
kc_percentage - 0.358031
kc_width_percentage - 0.27782
15m
ema9 - 0.000416314
ema21 - 0.000412667
ema50 - 0.000428776
price_ema9_diff - 0.0646657
ema9_ema21_diff - 0.00883811
ema21_ema50_diff - -0.0375699
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.652647
kc_percentage - 1.05798
kc_width_percentage - 0.123057
5m
ema9 - 0.00041838
ema21 - 0.000411718
ema50 - 0.000409026
price_ema9_diff - 0.0597976
ema9_ema21_diff - 0.0161796
ema21_ema50_diff - 0.00658267
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.776069
kc_percentage - 1.38838
kc_width_percentage - 0.0787386

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 00:01:49	09 Apr 2025 00:05:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.000443	0.0004547	0.0004254	1.5	0.000181

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 0.000443
Stop Loss: 0.0004547
Take Profit: 0.0004254

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.0004547 - 0.000443 = 1.17E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.000443 - 0.0004254 = 1.76E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 1.76E-5 / 1.17E-5 = 1.5043

📌 Position Size

Amount	Margin	Quantity	Leverage
301.8784	100	681441.1837	3.02

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 1.17E-5

Taille de position = 8 / 1.17E-5 = 683760.68

Taille de position USD = 683760.68 x 0.000443 = 302.91

Donc, tu peux acheter 683760.68 avec un stoploss a 0.0004547

Avec un position size USD de 302.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 683760.68 x 1.17E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 683760.68 x 1.76E-5 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position 683760.68
Taille de position USD 302.91
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5043

📌 Peformances

TP % Target	TP $ Target
3.97 %	11.99 $

SL % Target	SL $ Target
2.64 %	7.97 $

PNL	PNL %
-7.97 $	-2.64

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-3.1602708803612 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.0004254
            [entry_price] => 0.000443
            [stop_loss] => 0.00045587
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 00:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.0004254
            [entry_price] => 0.000443
            [stop_loss] => 0.00045704
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 00:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.0004254
            [entry_price] => 0.000443
            [stop_loss] => 0.00045821
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 00:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.0004254
            [entry_price] => 0.000443
            [stop_loss] => 0.00046055
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 00:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 1.7E-5
            [max_drawdown] => 2.8E-5
            [rr_ratio] => 0.61
            [high] => 0.00047100
            [low] => 0.00042600
            [mfe_pct] => 3.84
            [mae_pct] => 6.32
            [mfe_mae_ratio] => 0.61
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T00:01:49-04:00
            [end_at] => 2025-04-09T02:01:49-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.9E-5
            [max_drawdown] => 2.8E-5
            [rr_ratio] => 1.04
            [high] => 0.00047100
            [low] => 0.00041400
            [mfe_pct] => 6.55
            [mae_pct] => 6.32
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T00:01:49-04:00
            [end_at] => 2025-04-09T06:01:49-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00045400
            [high_after] => 0.00047100
            [low_before] => 0.00037900
            [low_after] => 0.00041400
            [is_new_high] => 
            [is_new_low] => 
        )

)