Short Trade on RSS3

The 10 Apr 2025 at 14:44:12

With 18943.2715 RSS3 at 0.03892$ per unit.

Position size of 737.2721 $

Take profit at 0.03829 (1.62 %) and Stop Loss at 0.03934 (1.08 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 2.94

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: 0.0002815423585

Details

score: 1.01
1H
ema9 - 0.0387473
ema21 - 0.0390082
ema50 - 0.039114
price_ema9_diff - 0.00442682
ema9_ema21_diff - -0.00668869
ema21_ema50_diff - -0.00270472
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.487375
kc_percentage - 0.477486
kc_width_percentage - 0.089867
15m
ema9 - 0.0383891
ema21 - 0.0384764
ema50 - 0.0388401
price_ema9_diff - 0.0137975
ema9_ema21_diff - -0.00226867
ema21_ema50_diff - -0.00936507
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.552891
kc_percentage - 0.717378
kc_width_percentage - 0.0541321
5m
ema9 - 0.0385391
ema21 - 0.0383663
ema50 - 0.0383908
price_ema9_diff - 0.00992579
ema9_ema21_diff - 0.00450607
ema21_ema50_diff - -0.000639538
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.643822
kc_percentage - 1.00675
kc_width_percentage - 0.0276907

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 14:44:12	10 Apr 2025 16:50:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03892	0.03934	0.03829	1.5	0.01535

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 0.03892
Stop Loss: 0.03934
Take Profit: 0.03829

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03934 - 0.03892 = 0.00042
Récompense (distance jusqu'au take profit):

E - TP = 0.03892 - 0.03829 = 0.00063000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00063000000000001 / 0.00042 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
737.2721	100	18943.2715	7.37

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 0.00042

Taille de position = 8 / 0.00042 = 19047.62

Taille de position USD = 19047.62 x 0.03892 = 741.33

Donc, tu peux acheter 19047.62 avec un stoploss a 0.03934

Avec un position size USD de 741.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 19047.62 x 0.00042 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 19047.62 x 0.00063000000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 19047.62
Taille de position USD 741.33
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.62 %	11.93 $

SL % Target	SL $ Target
1.08 %	7.96 $

PNL	PNL %
-7.96 $	-1.08

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1048304213772 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03829
            [entry_price] => 0.03892
            [stop_loss] => 0.039382
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 20:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03829
            [entry_price] => 0.03892
            [stop_loss] => 0.039424
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 20:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03829
            [entry_price] => 0.03892
            [stop_loss] => 0.039466
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 20:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03829
            [entry_price] => 0.03892
            [stop_loss] => 0.03955
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 16:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00054000000000001
            [max_drawdown] => 0.00018
            [rr_ratio] => 3
            [high] => 0.03910000
            [low] => 0.03838000
            [mfe_pct] => 1.39
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T14:44:12-04:00
            [end_at] => 2025-04-10T16:44:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00054000000000001
            [max_drawdown] => 0.0006
            [rr_ratio] => 0.9
            [high] => 0.03952000
            [low] => 0.03838000
            [mfe_pct] => 1.39
            [mae_pct] => 1.54
            [mfe_mae_ratio] => 0.9
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T14:44:12-04:00
            [end_at] => 2025-04-10T20:44:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03934000
            [high_after] => 0.03952000
            [low_before] => 0.03736000
            [low_after] => 0.03838000
            [is_new_high] => 
            [is_new_low] => 
        )

)