Short Trade on ACT

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Short Trade on ACT 10 May 2025 at 12:36:53

Take profit at 0.05817 (1.72 %) and Stop Loss at 0.05987 (1.15 %)

Short Trade on ACT

The 10 May 2025 at 12:36:53

With 11712.6692 ACT at 0.05919$ per unit.

Position size of 693.2729 $

Take profit at 0.05817 (1.72 %) and Stop Loss at 0.05987 (1.15 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.25

Prediction Score: 1.7428

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.19
atr: 0.0004553473885

Details

score: 1.19
1H
ema9 : 0.0581843
ema21 : 0.0597266
ema50 : 0.0597819
price_ema9_diff : 0.0168383
ema9_ema21_diff : -0.0258241
ema21_ema50_diff : -0.000924501
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.472898
kc_percentage : 0.461041
kc_width_percentage : 0.193755
15m
ema9 : 0.0579676
ema21 : 0.0577367
ema50 : 0.0588403
price_ema9_diff : 0.0211705
ema9_ema21_diff : 0.00399903
ema21_ema50_diff : -0.0187544
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.59916
kc_percentage : 0.912726
kc_width_percentage : 0.0598254
5m
ema9 : 0.0583688
ema21 : 0.0578522
ema50 : 0.057566
price_ema9_diff : 0.0141935
ema9_ema21_diff : 0.00893002
ema21_ema50_diff : 0.00497087
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.757044
kc_percentage : 1.18849
kc_width_percentage : 0.0322381

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 May 2025 12:36:53	10 May 2025 13:05:00	28 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.05919	0.05987	0.05817	1.5	0.01431

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 0.05919
Stop Loss: 0.05987
Take Profit: 0.05817

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.05987 - 0.05919 = 0.00068
Récompense (distance jusqu'au take profit):

E - TP = 0.05919 - 0.05817 = 0.00102
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00102 / 0.00068 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
693.2729	100	11712.6692	6.93

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 0.05919 = 696.35

Donc, tu peux acheter 11764.71 avec un stoploss a 0.05987

Avec un position size USD de 696.35$

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 696.35
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.72 %	11.95 $

SL % Target	SL $ Target
1.15 %	7.96 $

PNL	PNL %
-7.96 $	-1.15

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6050008447373 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.05817
            [entry_price] => 0.05919
            [stop_loss] => 0.059938
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-10 13:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.05817
            [entry_price] => 0.05919
            [stop_loss] => 0.060006
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-10 13:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.05817
            [entry_price] => 0.05919
            [stop_loss] => 0.060074
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-10 13:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.05817
            [entry_price] => 0.05919
            [stop_loss] => 0.06021
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-10 13:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00059
            [max_drawdown] => 0.00273
            [rr_ratio] => 0.22
            [high] => 0.06192000
            [low] => 0.05860000
            [mfe_pct] => 1
            [mae_pct] => 4.61
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T12:36:53-04:00
            [end_at] => 2025-05-10T14:36:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00059
            [max_drawdown] => 0.00508
            [rr_ratio] => 0.12
            [high] => 0.06427000
            [low] => 0.05860000
            [mfe_pct] => 1
            [mae_pct] => 8.58
            [mfe_mae_ratio] => 0.12
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T12:36:53-04:00
            [end_at] => 2025-05-10T18:36:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05949000
            [high_after] => 0.06427000
            [low_before] => 0.05650000
            [low_after] => 0.05860000
            [is_new_high] => 
            [is_new_low] => 
        )

)