Short Trade on TROY

The 11 Apr 2025 at 00:13:22

With 1333682.1893 TROY at 0.000462$ per unit.

Position size of 616.1612 $

Take profit at 0.000453 (1.95 %) and Stop Loss at 0.000468 (1.3 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 8

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: 0.13
atr: 3.998953706E-6

Details

score: 1.13
1H
ema9 - 0.000455808
ema21 - 0.000470517
ema50 - 0.000492422
price_ema9_diff - 0.0131596
ema9_ema21_diff - -0.0312619
ema21_ema50_diff - -0.0444834
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.467599
kc_percentage - 0.433114
kc_width_percentage - 0.243301
15m
ema9 - 0.000452294
ema21 - 0.000451673
ema50 - 0.000459527
price_ema9_diff - 0.0214875
ema9_ema21_diff - 0.00137631
ema21_ema50_diff - -0.0170919
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.597117
kc_percentage - 0.848329
kc_width_percentage - 0.0643758
5m
ema9 - 0.000453369
ema21 - 0.000451477
ema50 - 0.000450803
price_ema9_diff - 0.0191156
ema9_ema21_diff - 0.00419183
ema21_ema50_diff - 0.00149549
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.698469
kc_percentage - 1.12505
kc_width_percentage - 0.0362637

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 00:13:22	11 Apr 2025 00:15:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.000462	0.000468	0.000453	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 0.000462
Stop Loss: 0.000468
Take Profit: 0.000453

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.000468 - 0.000462 = 6.0E-6
Récompense (distance jusqu'au take profit):

E - TP = 0.000462 - 0.000453 = 9.0E-6
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 9.0E-6 / 6.0E-6 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
616.1612	100	1333682.1893	6.16

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 6.0E-6

Taille de position = 8 / 6.0E-6 = 1333333.33

Taille de position USD = 1333333.33 x 0.000462 = 616

Donc, tu peux acheter 1333333.33 avec un stoploss a 0.000468

Avec un position size USD de 616$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1333333.33 x 6.0E-6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1333333.33 x 9.0E-6 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 1333333.33
Taille de position USD 616
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.95 %	12 $

SL % Target	SL $ Target
1.3 %	8 $

PNL	PNL %
12 $	1.95

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.00045
            [stop_loss] => 0.000468
            [rr_ratio] => 2
            [closed_at] => 2025-04-11 00:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.000447
            [stop_loss] => 0.000468
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-11 00:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.000444
            [stop_loss] => 0.000468
            [rr_ratio] => 3
            [closed_at] => 2025-04-11 00:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.000441
            [stop_loss] => 0.000468
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-11 00:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.000438
            [stop_loss] => 0.000468
            [rr_ratio] => 4
            [closed_at] => 2025-04-11 00:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.000435
            [stop_loss] => 0.000468
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-11 01:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 2.7E-5
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 27
            [high] => 0.00046100
            [low] => 0.00043500
            [mfe_pct] => 5.84
            [mae_pct] => -0.22
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T00:13:22-04:00
            [end_at] => 2025-04-11T02:13:22-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 2.8E-5
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 28
            [high] => 0.00046100
            [low] => 0.00043400
            [mfe_pct] => 6.06
            [mae_pct] => -0.22
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T00:13:22-04:00
            [end_at] => 2025-04-11T06:13:22-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.00046500
            [high_after] => 0.00046100
            [low_before] => 0.00044200
            [low_after] => 0.00043400
            [is_new_high] => 
            [is_new_low] => 1
        )

)