Long Trade on BGSC

The 17 Apr 2025 at 17:22:08

With 123698.0929 BGSC at 0.01155$ per unit.

Position size of 1429.0841 $

Take profit at 0.01165 (0.87 %) and Stop Loss at 0.01149 (0.52 %)

That's a 1.67 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 3.11

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

Market Regime	Score	BTC Correlation

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.27
atr: 4.311572803E-5

Details

score: 2.27
1H
ema9 - 0.0114889
ema21 - 0.0112142
ema50 - 0.010855
price_ema9_diff - 0.00571117
ema9_ema21_diff - 0.0245001
ema21_ema50_diff - 0.0330875
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.634419
kc_percentage - 0.80379
kc_width_percentage - 0.0914955
15m
ema9 - 0.0116711
ema21 - 0.0116084
ema50 - 0.0113679
price_ema9_diff - -0.0101821
ema9_ema21_diff - 0.00540461
ema21_ema50_diff - 0.0211534
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.498787
kc_percentage - 0.332867
kc_width_percentage - 0.0330733
5m
ema9 - 0.0116638
ema21 - 0.0116934
ema50 - 0.0116463
price_ema9_diff - -0.00947955
ema9_ema21_diff - -0.00253002
ema21_ema50_diff - 0.00404478
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.224974
kc_percentage - -0.271631
kc_width_percentage - 0.0156815

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 17:22:08	17 Apr 2025 17:25:00	2 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01155	0.01149	0.01165	1.67	0.007159

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 0.01155
Stop Loss: 0.01149
Take Profit: 0.01165

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01149 - 0.01155 = -5.9999999999999E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.01155 - 0.01165 = -0.0001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0001 / -5.9999999999999E-5 = 1.6667

📌 Position Size

Amount	Margin	Quantity	Leverage
1429.0841	100	123698.0929	14.29

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 -5.9999999999999E-5

Taille de position = 8 / -5.9999999999999E-5 = -133333.33

Taille de position USD = -133333.33 x 0.01155 = -1540

Donc, tu peux acheter -133333.33 avec un stoploss a 0.01149

Avec un position size USD de -1540$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -133333.33 x -5.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -133333.33 x -0.0001 = 13.33

Si Take Profit atteint, tu gagneras 13.33$

Résumé

Taille de position -133333.33
Taille de position USD -1540
Perte potentielle 8
Gain potentiel 13.33
Risk-Reward Ratio 1.6667

📌 Peformances

TP % Target	TP $ Target
0.87 %	12.37 $

SL % Target	SL $ Target
0.52 %	7.42 $

PNL	PNL %
-7.42 $	-0.52

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.77056277056276 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01165
            [entry_price] => 0.01155
            [stop_loss] => 0.011484
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 17:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01165
            [entry_price] => 0.01155
            [stop_loss] => 0.011478
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 17:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01165
            [entry_price] => 0.01155
            [stop_loss] => 0.011472
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 17:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01165
            [entry_price] => 0.01155
            [stop_loss] => 0.01146
            [rr_ratio] => 1.11
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 17:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -1.2999999999999E-5
            [max_drawdown] => 0.000291
            [rr_ratio] => -0.04
            [high] => 0.01153700
            [low] => 0.01125900
            [mfe_pct] => -0.11
            [mae_pct] => 2.52
            [mfe_mae_ratio] => -0.04
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T17:22:08-04:00
            [end_at] => 2025-04-17T19:22:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000554
            [max_drawdown] => 0.000291
            [rr_ratio] => 1.9
            [high] => 0.01210400
            [low] => 0.01125900
            [mfe_pct] => 4.8
            [mae_pct] => 2.52
            [mfe_mae_ratio] => 1.9
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T17:22:08-04:00
            [end_at] => 2025-04-17T23:22:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01177900
            [high_after] => 0.01210400
            [low_before] => 0.01149700
            [low_after] => 0.01125900
            [is_new_high] => 1
            [is_new_low] => 
        )

)