Short Trade on EOS

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Short Trade on EOS 21 Apr 2025 at 21:50:12

Take profit at 0.634 (0.63 %) and Stop Loss at 0.6407 (0.42 %)

Short Trade on EOS

The 21 Apr 2025 at 21:50:12

With 3004.9965 EOS at 0.638$ per unit.

Position size of 1917.1878 $

Take profit at 0.634 (0.63 %) and Stop Loss at 0.6407 (0.42 %)

That's a 1.48 RR Trade

Results

Status:

win

Trade Type:

sell

ML Trade Score: 90

ML Pullback Score: 8

Prediction Score: -7.791

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: 0.18
atr: 0.001774821802

Details

score: 1.18
1H
ema9 : 0.634993
ema21 : 0.639482
ema50 : 0.640735
price_ema9_diff : 0.00470163
ema9_ema21_diff : -0.00701978
ema21_ema50_diff : -0.00195599
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.478355
kc_percentage : 0.463754
kc_width_percentage : 0.053071
15m
ema9 : 0.633239
ema21 : 0.633128
ema50 : 0.636748
price_ema9_diff : 0.00751913
ema9_ema21_diff : 0.000175522
ema21_ema50_diff : -0.00568592
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.590415
kc_percentage : 0.851002
kc_width_percentage : 0.0221162
5m
ema9 : 0.635666
ema21 : 0.633143
ema50 : 0.632255
price_ema9_diff : 0.0036852
ema9_ema21_diff : 0.00398503
ema21_ema50_diff : 0.00140512
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.726458
kc_percentage : 1.18091
kc_width_percentage : 0.0109105

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
21 Apr 2025 21:50:12	21 Apr 2025 22:15:00	24 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.638	0.6407	0.634	1.48	0.7826

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 0.638
Stop Loss: 0.6407
Take Profit: 0.634

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.6407 - 0.638 = 0.0027
Récompense (distance jusqu'au take profit):

E - TP = 0.638 - 0.634 = 0.004
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.004 / 0.0027 = 1.4815

📌 Position Size

Amount	Margin	Quantity	Leverage
1917.1878	100	3004.9965	19.17

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 0.0027

Taille de position = 8 / 0.0027 = 2962.96

Taille de position USD = 2962.96 x 0.638 = 1890.37

Donc, tu peux acheter 2962.96 avec un stoploss a 0.6407

Avec un position size USD de 1890.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2962.96 x 0.0027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2962.96 x 0.004 = 11.85

Si Take Profit atteint, tu gagneras 11.85$

Résumé

Taille de position 2962.96
Taille de position USD 1890.37
Perte potentielle 8
Gain potentiel 11.85
Risk-Reward Ratio 1.4815

📌 Peformances

TP % Target	TP $ Target
0.63 %	12.02 $

SL % Target	SL $ Target
0.42 %	8.11 $

PNL	PNL %
12.02 $	0.63

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.141065830721 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.6326
            [stop_loss] => 0.6407
            [rr_ratio] => 2
            [closed_at] => 2025-04-22 01:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.63125
            [stop_loss] => 0.6407
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-22 01:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6299
            [stop_loss] => 0.6407
            [rr_ratio] => 3
            [closed_at] => 2025-04-22 01:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.62855
            [stop_loss] => 0.6407
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-22 02:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6272
            [stop_loss] => 0.6407
            [rr_ratio] => 4
            [closed_at] => 2025-04-22 02:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.62585
            [stop_loss] => 0.6407
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-22 02:35:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.005
            [max_drawdown] => 0.00090000000000001
            [rr_ratio] => 5.56
            [high] => 0.63890000
            [low] => 0.63300000
            [mfe_pct] => 0.78
            [mae_pct] => 0.14
            [mfe_mae_ratio] => 5.56
            [candles_analyzed] => 24
            [start_at] => 2025-04-21T21:50:12-04:00
            [end_at] => 2025-04-21T23:50:12-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0128
            [max_drawdown] => 0.001
            [rr_ratio] => 12.8
            [high] => 0.63900000
            [low] => 0.62520000
            [mfe_pct] => 2.01
            [mae_pct] => 0.16
            [mfe_mae_ratio] => 12.8
            [candles_analyzed] => 72
            [start_at] => 2025-04-21T21:50:12-04:00
            [end_at] => 2025-04-22T03:50:12-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.63930000
            [high_after] => 0.63900000
            [low_before] => 0.62000000
            [low_after] => 0.62520000
            [is_new_high] => 
            [is_new_low] => 
        )

)