Long Trade on ETC

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Long Trade on ETC 09 May 2025 at 10:24:48

Take profit at 19.2041 (1.05 %) and Stop Loss at 18.8706 (0.7 %)

Long Trade on ETC

The 09 May 2025 at 10:24:48

With 59.9701 ETC at 19.004$ per unit.

Position size of 1139.6717 $

Take profit at 19.2041 (1.05 %) and Stop Loss at 18.8706 (0.7 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.28

Prediction Score: -7.0239

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
2	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: 0.01
atr: 0.08893321219

Details

score: 2.01
1H
ema9 : 19.0361
ema21 : 18.6561
ema50 : 17.8693
price_ema9_diff : -0.0017241
ema9_ema21_diff : 0.0203682
ema21_ema50_diff : 0.0440297
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.669522
kc_percentage : 0.739351
kc_width_percentage : 0.0691654
15m
ema9 : 19.162
ema21 : 19.1239
ema50 : 18.9092
price_ema9_diff : -0.00826336
ema9_ema21_diff : 0.00199175
ema21_ema50_diff : 0.0113529
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.463229
kc_percentage : 0.323837
kc_width_percentage : 0.0374792
5m
ema9 : 19.1641
ema21 : 19.1866
ema50 : 19.1604
price_ema9_diff : -0.00834671
ema9_ema21_diff : -0.00117164
ema21_ema50_diff : 0.00136757
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.367329
kc_percentage : -0.0137546
kc_width_percentage : 0.018693

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 May 2025 10:24:48	09 May 2025 10:35:00	10 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
19.004	18.8706	19.2041	1.5	8.78

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 19.004
Stop Loss: 18.8706
Take Profit: 19.2041

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 18.8706 - 19.004 = -0.1334
Récompense (distance jusqu'au take profit):

E - TP = 19.004 - 19.2041 = -0.2001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.2001 / -0.1334 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1139.6717	100	59.9701	11.40

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 -0.1334

Taille de position = 8 / -0.1334 = -59.97

Taille de position USD = -59.97 x 19.004 = -1139.67

Donc, tu peux acheter -59.97 avec un stoploss a 18.8706

Avec un position size USD de -1139.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -59.97 x -0.1334 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -59.97 x -0.2001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -59.97
Taille de position USD -1139.67
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.05 %	12 $

SL % Target	SL $ Target
0.7 %	8 $

PNL	PNL %
-7.8 $	-0.68

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2263157894737 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 19.2
            [entry_price] => 19
            [stop_loss] => 18.857
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 19.2
            [entry_price] => 19
            [stop_loss] => 18.844
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 19.2
            [entry_price] => 19
            [stop_loss] => 18.831
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 19.2
            [entry_price] => 19
            [stop_loss] => 18.805
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-09 10:35:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.17
            [max_drawdown] => 0.237
            [rr_ratio] => 0.72
            [high] => 19.17400000
            [low] => 18.76700000
            [mfe_pct] => 0.89
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 0.72
            [candles_analyzed] => 24
            [start_at] => 2025-05-09T10:24:48-04:00
            [end_at] => 2025-05-09T12:24:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.279
            [max_drawdown] => 0.237
            [rr_ratio] => 1.18
            [high] => 19.28300000
            [low] => 18.76700000
            [mfe_pct] => 1.47
            [mae_pct] => 1.25
            [mfe_mae_ratio] => 1.18
            [candles_analyzed] => 72
            [start_at] => 2025-05-09T10:24:48-04:00
            [end_at] => 2025-05-09T16:24:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 19.44500000
            [high_after] => 19.28300000
            [low_before] => 18.96600000
            [low_after] => 18.76700000
            [is_new_high] => 
            [is_new_low] => 
        )

)