Short Trade on HBAR

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Short Trade on HBAR 20 Apr 2025 at 11:00:52

Take profit at 0.1631 (0.37 %) and Stop Loss at 0.1642 (0.31 %)

Short Trade on HBAR

The 20 Apr 2025 at 11:00:52

With 18350.3317 HBAR at 0.1637$ per unit.

Position size of 3004.8668 $

Take profit at 0.1631 (0.37 %) and Stop Loss at 0.1642 (0.31 %)

That's a 1.2 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.28

Prediction Score: 3.2076

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: 0.4
atr: 0.0002906396149

Details

score: 1.4
1H
ema9 : 0.163299
ema21 : 0.164265
ema50 : 0.164611
price_ema9_diff : 0.00274446
ema9_ema21_diff : -0.00588404
ema21_ema50_diff : -0.00210256
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.452895
kc_percentage : 0.400349
kc_width_percentage : 0.0281665
15m
ema9 : 0.162807
ema21 : 0.162711
ema50 : 0.163621
price_ema9_diff : 0.00579119
ema9_ema21_diff : 0.000591461
ema21_ema50_diff : -0.00555953
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.598244
kc_percentage : 0.948553
kc_width_percentage : 0.0144283
5m
ema9 : 0.163237
ema21 : 0.16271
ema50 : 0.162463
price_ema9_diff : 0.00315035
ema9_ema21_diff : 0.00323606
ema21_ema50_diff : 0.00152416
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.739681
kc_percentage : 1.39589
kc_width_percentage : 0.00688582

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 11:00:52	20 Apr 2025 11:10:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1637	0.1642	0.1631	1.2	0.09921

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 0.1637
Stop Loss: 0.1642
Take Profit: 0.1631

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1642 - 0.1637 = 0.0005
Récompense (distance jusqu'au take profit):

E - TP = 0.1637 - 0.1631 = 0.00060000000000002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00060000000000002 / 0.0005 = 1.2

📌 Position Size

Amount	Margin	Quantity	Leverage
3004.8668	100	18350.3317	30.05

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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1637 = 2619.2

Donc, tu peux acheter 16000 avec un stoploss a 0.1642

Avec un position size USD de 2619.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00060000000000002 = 9.6

Si Take Profit atteint, tu gagneras 9.6$

Résumé

Taille de position 16000
Taille de position USD 2619.2
Perte potentielle 8
Gain potentiel 9.6
Risk-Reward Ratio 1.2

📌 Peformances

TP % Target	TP $ Target
0.37 %	11.01 $

SL % Target	SL $ Target
0.31 %	9.18 $

PNL	PNL %
-9.18 $	-0.31

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.34819792302992 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1631
            [entry_price] => 0.1637
            [stop_loss] => 0.16425
            [rr_ratio] => 1.09
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 11:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1631
            [entry_price] => 0.1637
            [stop_loss] => 0.1643
            [rr_ratio] => 1
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 11:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1631
            [entry_price] => 0.1637
            [stop_loss] => 0.16435
            [rr_ratio] => 0.92
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 11:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1631
            [entry_price] => 0.1637
            [stop_loss] => 0.16445
            [rr_ratio] => 0.8
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 11:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00059000000000001
            [max_drawdown] => 0.00219
            [rr_ratio] => 0.27
            [high] => 0.16589000
            [low] => 0.16311000
            [mfe_pct] => 0.36
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 0.27
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T11:00:52-04:00
            [end_at] => 2025-04-20T13:00:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00059000000000001
            [max_drawdown] => 0.00522
            [rr_ratio] => 0.11
            [high] => 0.16892000
            [low] => 0.16311000
            [mfe_pct] => 0.36
            [mae_pct] => 3.19
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T11:00:52-04:00
            [end_at] => 2025-04-20T17:00:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16388000
            [high_after] => 0.16892000
            [low_before] => 0.16093000
            [low_after] => 0.16311000
            [is_new_high] => 
            [is_new_low] => 
        )

)