Short Trade on RFC

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Short Trade on RFC 24 Apr 2025 at 21:13:16

Take profit at 0.02681 (3.67 %) and Stop Loss at 0.02851 (2.44 %)

Short Trade on RFC

The 24 Apr 2025 at 21:13:16

With 11714.9355 RFC at 0.02783$ per unit.

Position size of 326.0267 $

Take profit at 0.02681 (3.67 %) and Stop Loss at 0.02851 (2.44 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.48

Prediction Score: 2.2071

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: 0.16
atr: 0.0004552592981

Details

score: 1.16
1H
ema9 : 0.0266852
ema21 : 0.0278384
ema50 : 0.0296957
price_ema9_diff : 0.0411211
ema9_ema21_diff : -0.0414259
ema21_ema50_diff : -0.062544
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.475873
kc_percentage : 0.512762
kc_width_percentage : 0.281698
15m
ema9 : 0.0264823
ema21 : 0.0261652
ema50 : 0.0267866
price_ema9_diff : 0.0515055
ema9_ema21_diff : 0.0121204
ema21_ema50_diff : -0.0231989
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.640284
kc_percentage : 0.982725
kc_width_percentage : 0.123942
5m
ema9 : 0.0270374
ema21 : 0.0265375
ema50 : 0.0261177
price_ema9_diff : 0.0298664
ema9_ema21_diff : 0.0188365
ema21_ema50_diff : 0.0160718
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.756551
kc_percentage : 1.16369
kc_width_percentage : 0.0683926

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 21:13:16	24 Apr 2025 21:35:00	21 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.02783	0.02851	0.02681	1.5	0.00692

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 0.02783
Stop Loss: 0.02851
Take Profit: 0.02681

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.02851 - 0.02783 = 0.00068
Récompense (distance jusqu'au take profit):

E - TP = 0.02783 - 0.02681 = 0.00102
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00102 / 0.00068 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
326.0267	100	11714.9355	3.26

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 0.00068

Taille de position = 8 / 0.00068 = 11764.71

Taille de position USD = 11764.71 x 0.02783 = 327.41

Donc, tu peux acheter 11764.71 avec un stoploss a 0.02851

Avec un position size USD de 327.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11764.71 x 0.00068 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11764.71 x 0.00102 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 11764.71
Taille de position USD 327.41
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
3.67 %	11.95 $

SL % Target	SL $ Target
2.44 %	7.97 $

PNL	PNL %
-7.97 $	-2.44

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.5152712899748 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02681
            [entry_price] => 0.02783
            [stop_loss] => 0.028578
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 21:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02681
            [entry_price] => 0.02783
            [stop_loss] => 0.028646
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 21:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02681
            [entry_price] => 0.02783
            [stop_loss] => 0.028714
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 21:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02681
            [entry_price] => 0.02783
            [stop_loss] => 0.02885
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 22:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00082
            [max_drawdown] => 0.00203
            [rr_ratio] => 0.4
            [high] => 0.02986000
            [low] => 0.02701000
            [mfe_pct] => 2.95
            [mae_pct] => 7.29
            [mfe_mae_ratio] => 0.4
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T21:13:16-04:00
            [end_at] => 2025-04-24T23:13:16-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00141
            [max_drawdown] => 0.0053
            [rr_ratio] => 0.27
            [high] => 0.03313000
            [low] => 0.02642000
            [mfe_pct] => 5.07
            [mae_pct] => 19.04
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T21:13:16-04:00
            [end_at] => 2025-04-25T03:13:16-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02832000
            [high_after] => 0.03313000
            [low_before] => 0.02470000
            [low_after] => 0.02642000
            [is_new_high] => 
            [is_new_low] => 
        )

)