Long Trade on EPT

Previous Trade Next Trade

Long Trade on EPT 05 May 2025 at 13:08:12

Take profit at 0.01071 (1.9 %) and Stop Loss at 0.01038 (1.24 %)

Long Trade on EPT

The 05 May 2025 at 13:08:12

With 61256.2855 EPT at 0.01051$ per unit.

Position size of 643.8036 $

Take profit at 0.01071 (1.9 %) and Stop Loss at 0.01038 (1.24 %)

That's a 1.54 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0

Prediction Score: -2.3153

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.08
atr: 8.706589522E-5

Details

score: 2.08
1H
ema9 : 0.0105372
ema21 : 0.0104234
ema50 : 0.0104094
price_ema9_diff : -0.00261246
ema9_ema21_diff : 0.0109206
ema21_ema50_diff : 0.00133904
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.528083
kc_percentage : 0.571708
kc_width_percentage : 0.109283
15m
ema9 : 0.0106857
ema21 : 0.0106282
ema50 : 0.0104728
price_ema9_diff : -0.0165367
ema9_ema21_diff : 0.00541106
ema21_ema50_diff : 0.0148369
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.463724
kc_percentage : 0.315603
kc_width_percentage : 0.0644175
5m
ema9 : 0.0106656
ema21 : 0.0107093
ema50 : 0.0106642
price_ema9_diff : -0.0145314
ema9_ema21_diff : -0.0040857
ema21_ema50_diff : 0.00423551
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.339707
kc_percentage : -0.084475
kc_width_percentage : 0.0323348

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
05 May 2025 13:08:12	05 May 2025 14:00:00	51 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01051	0.01038	0.01071	1.54	0.002115

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 0.01051
Stop Loss: 0.01038
Take Profit: 0.01071

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01038 - 0.01051 = -0.00013
Récompense (distance jusqu'au take profit):

E - TP = 0.01051 - 0.01071 = -0.0002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0002 / -0.00013 = 1.5385

📌 Position Size

Amount	Margin	Quantity	Leverage
643.8036	100	61256.2855	6.44

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 -0.00013

Taille de position = 8 / -0.00013 = -61538.46

Taille de position USD = -61538.46 x 0.01051 = -646.77

Donc, tu peux acheter -61538.46 avec un stoploss a 0.01038

Avec un position size USD de -646.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -61538.46 x -0.00013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -61538.46 x -0.0002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

Taille de position -61538.46
Taille de position USD -646.77
Perte potentielle 8
Gain potentiel 12.31
Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target	TP $ Target
1.9 %	12.25 $

SL % Target	SL $ Target
1.24 %	7.96 $

PNL	PNL %
-7.96 $	-1.24

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.6175071360609 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01071
            [entry_price] => 0.01051
            [stop_loss] => 0.010367
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-05 14:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01071
            [entry_price] => 0.01051
            [stop_loss] => 0.010354
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-05 14:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01071
            [entry_price] => 0.01051
            [stop_loss] => 0.010341
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-05 14:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01071
            [entry_price] => 0.01051
            [stop_loss] => 0.010315
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-05 14:30:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.0003
            [rr_ratio] => 0
            [high] => 0.01051000
            [low] => 0.01021000
            [mfe_pct] => 0
            [mae_pct] => 2.85
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 24
            [start_at] => 2025-05-05T13:08:12-04:00
            [end_at] => 2025-05-05T15:08:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0
            [max_drawdown] => 0.00061
            [rr_ratio] => 0
            [high] => 0.01051000
            [low] => 0.00990000
            [mfe_pct] => 0
            [mae_pct] => 5.8
            [mfe_mae_ratio] => 0
            [candles_analyzed] => 72
            [start_at] => 2025-05-05T13:08:12-04:00
            [end_at] => 2025-05-05T19:08:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01094000
            [high_after] => 0.01051000
            [low_before] => 0.01037000
            [low_after] => 0.00990000
            [is_new_high] => 
            [is_new_low] => 
        )

)