Short Trade on BIGTIME

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Short Trade on BIGTIME 20 Apr 2025 at 16:11:23

Take profit at 0.06888 (0.61 %) and Stop Loss at 0.06958 (0.4 %)

Short Trade on BIGTIME

The 20 Apr 2025 at 16:11:23

With 28781.5839 BIGTIME at 0.0693$ per unit.

Position size of 1994.5638 $

Take profit at 0.06888 (0.61 %) and Stop Loss at 0.06958 (0.4 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.11

Prediction Score: -6.1919

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: 0.24
atr: 0.0001853036775

Details

score: 1.24
1H
ema9 : 0.0688628
ema21 : 0.0694807
ema50 : 0.0699928
price_ema9_diff : 0.00629228
ema9_ema21_diff : -0.00889426
ema21_ema50_diff : -0.00731584
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.467757
kc_percentage : 0.463065
kc_width_percentage : 0.0526991
15m
ema9 : 0.0686766
ema21 : 0.0685329
ema50 : 0.0689935
price_ema9_diff : 0.00909551
ema9_ema21_diff : 0.00209718
ema21_ema50_diff : -0.00667623
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.630641
kc_percentage : 1.00895
kc_width_percentage : 0.0218944
5m
ema9 : 0.0690043
ema21 : 0.0687446
ema50 : 0.0685029
price_ema9_diff : 0.00430045
ema9_ema21_diff : 0.00377827
ema21_ema50_diff : 0.00352821
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.744004
kc_percentage : 1.24483
kc_width_percentage : 0.0104168

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 16:11:23	20 Apr 2025 16:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.0693	0.06958	0.06888	1.5	0.01488

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 0.0693
Stop Loss: 0.06958
Take Profit: 0.06888

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.06958 - 0.0693 = 0.00028
Récompense (distance jusqu'au take profit):

E - TP = 0.0693 - 0.06888 = 0.00042
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00042 / 0.00028 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1994.5638	100	28781.5839	19.95

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 0.00028

Taille de position = 8 / 0.00028 = 28571.43

Taille de position USD = 28571.43 x 0.0693 = 1980

Donc, tu peux acheter 28571.43 avec un stoploss a 0.06958

Avec un position size USD de 1980$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00042 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 28571.43
Taille de position USD 1980
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.61 %	12.09 $

SL % Target	SL $ Target
0.4 %	8.06 $

PNL	PNL %
-8.06 $	-0.40

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.57720057720057 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.06888
            [entry_price] => 0.0693
            [stop_loss] => 0.069608
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 16:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.06888
            [entry_price] => 0.0693
            [stop_loss] => 0.069636
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 16:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.06888
            [entry_price] => 0.0693
            [stop_loss] => 0.069664
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 16:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.06888
            [entry_price] => 0.0693
            [stop_loss] => 0.06972
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 16:20:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 9.0000000000007E-5
            [max_drawdown] => 0.00079
            [rr_ratio] => 0.11
            [high] => 0.07009000
            [low] => 0.06921000
            [mfe_pct] => 0.13
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T16:11:23-04:00
            [end_at] => 2025-04-20T18:11:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 9.0000000000007E-5
            [max_drawdown] => 0.00221
            [rr_ratio] => 0.04
            [high] => 0.07151000
            [low] => 0.06921000
            [mfe_pct] => 0.13
            [mae_pct] => 3.19
            [mfe_mae_ratio] => 0.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T16:11:23-04:00
            [end_at] => 2025-04-20T22:11:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.06945000
            [high_after] => 0.07151000
            [low_before] => 0.06751000
            [low_after] => 0.06921000
            [is_new_high] => 
            [is_new_low] => 
        )

)