Short Trade on HBAR

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Short Trade on HBAR 20 Apr 2025 at 10:51:19

Take profit at 0.1627 (0.37 %) and Stop Loss at 0.1637 (0.24 %)

Short Trade on HBAR

The 20 Apr 2025 at 10:51:19

With 18612.2371 HBAR at 0.1633$ per unit.

Position size of 3039.5644 $

Take profit at 0.1627 (0.37 %) and Stop Loss at 0.1637 (0.24 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.09

Prediction Score: 1.8374

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: 0.24
atr: 0.0002865498283

Details

score: 1.24
1H
ema9 : 0.163124
ema21 : 0.164289
ema50 : 0.16463
price_ema9_diff : 0.00112927
ema9_ema21_diff : -0.00708887
ema21_ema50_diff : -0.00207238
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.425523
kc_percentage : 0.311544
kc_width_percentage : 0.0298426
15m
ema9 : 0.16251
ema21 : 0.162579
ema50 : 0.163588
price_ema9_diff : 0.00491985
ema9_ema21_diff : -0.000425911
ema21_ema50_diff : -0.00616713
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.559651
kc_percentage : 0.8205
kc_width_percentage : 0.014537
5m
ema9 : 0.162909
ema21 : 0.162472
ema50 : 0.162356
price_ema9_diff : 0.0024646
ema9_ema21_diff : 0.00268729
ema21_ema50_diff : 0.0007148
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.700536
kc_percentage : 1.23896
kc_width_percentage : 0.00675009

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 10:51:19	20 Apr 2025 10:55:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1633	0.1637	0.1627	1.5	0.1002

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 0.1633
Stop Loss: 0.1637
Take Profit: 0.1627

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1637 - 0.1633 = 0.00040000000000001
Récompense (distance jusqu'au take profit):

E - TP = 0.1633 - 0.1627 = 0.00059999999999999
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00040000000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3039.5644	100	18612.2371	30.40

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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1633 = 3266

Donc, tu peux acheter 20000 avec un stoploss a 0.1637

Avec un position size USD de 3266$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 20000
Taille de position USD 3266
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.37 %	11.17 $

SL % Target	SL $ Target
0.24 %	7.44 $

PNL	PNL %
-7.45 $	-0.24

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.26944274341702 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1627
            [entry_price] => 0.1633
            [stop_loss] => 0.16374
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-20 10:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1627
            [entry_price] => 0.1633
            [stop_loss] => 0.16378
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-20 11:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1627
            [entry_price] => 0.1633
            [stop_loss] => 0.16382
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-20 11:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1627
            [entry_price] => 0.1633
            [stop_loss] => 0.1639
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-20 11:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00019
            [max_drawdown] => 0.00209
            [rr_ratio] => 0.09
            [high] => 0.16539000
            [low] => 0.16311000
            [mfe_pct] => 0.12
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T10:51:19-04:00
            [end_at] => 2025-04-20T12:51:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00019
            [max_drawdown] => 0.00562
            [rr_ratio] => 0.03
            [high] => 0.16892000
            [low] => 0.16311000
            [mfe_pct] => 0.12
            [mae_pct] => 3.44
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T10:51:19-04:00
            [end_at] => 2025-04-20T16:51:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16368000
            [high_after] => 0.16892000
            [low_before] => 0.16093000
            [low_after] => 0.16311000
            [is_new_high] => 
            [is_new_low] => 
        )

)