Short Trade on HBAR

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Short Trade on HBAR 27 Apr 2025 at 14:31:03

Take profit at 0.1881 (0.53 %) and Stop Loss at 0.1898 (0.37 %)

Short Trade on HBAR

The 27 Apr 2025 at 14:31:03

With 11517.0455 HBAR at 0.1891$ per unit.

Position size of 2177.9885 $

Take profit at 0.1881 (0.53 %) and Stop Loss at 0.1898 (0.37 %)

That's a 1.43 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.46

Prediction Score: 0

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: 0.33
atr: 0.0004630817289

Details

score: 1.33
1H
ema9 : 0.188088
ema21 : 0.189116
ema50 : 0.19012
price_ema9_diff : 0.00540165
ema9_ema21_diff : -0.00543406
ema21_ema50_diff : -0.00528351
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.483584
kc_percentage : 0.508935
kc_width_percentage : 0.0442103
15m
ema9 : 0.187844
ema21 : 0.18767
ema50 : 0.18832
price_ema9_diff : 0.00674477
ema9_ema21_diff : 0.000925522
ema21_ema50_diff : -0.00345256
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.599826
kc_percentage : 0.912408
kc_width_percentage : 0.0186166
5m
ema9 : 0.188256
ema21 : 0.187607
ema50 : 0.187433
price_ema9_diff : 0.00455202
ema9_ema21_diff : 0.00345606
ema21_ema50_diff : 0.000930475
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.703828
kc_percentage : 1.33332
kc_width_percentage : 0.00933576

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
27 Apr 2025 14:31:03	27 Apr 2025 14:40:00	8 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1891	0.1898	0.1881	1.43	0.1008

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 0.1891
Stop Loss: 0.1898
Take Profit: 0.1881

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1898 - 0.1891 = 0.00070000000000001
Récompense (distance jusqu'au take profit):

E - TP = 0.1891 - 0.1881 = 0.001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.001 / 0.00070000000000001 = 1.4286

📌 Position Size

Amount	Margin	Quantity	Leverage
2177.9885	100	11517.0455	21.78

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 0.00070000000000001

Taille de position = 8 / 0.00070000000000001 = 11428.57

Taille de position USD = 11428.57 x 0.1891 = 2161.14

Donc, tu peux acheter 11428.57 avec un stoploss a 0.1898

Avec un position size USD de 2161.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 11428.57 x 0.00070000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 11428.57 x 0.001 = 11.43

Si Take Profit atteint, tu gagneras 11.43$

Résumé

Taille de position 11428.57
Taille de position USD 2161.14
Perte potentielle 8
Gain potentiel 11.43
Risk-Reward Ratio 1.4286

📌 Peformances

TP % Target	TP $ Target
0.53 %	11.52 $

SL % Target	SL $ Target
0.37 %	8.06 $

PNL	PNL %
-8.06 $	-0.37

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.37017451084083 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1881
            [entry_price] => 0.1891
            [stop_loss] => 0.18987
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1881
            [entry_price] => 0.1891
            [stop_loss] => 0.18994
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1881
            [entry_price] => 0.1891
            [stop_loss] => 0.19001
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-27 14:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1881
            [entry_price] => 0.1891
            [stop_loss] => 0.19015
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-27 14:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00114
            [max_drawdown] => 0.0031
            [rr_ratio] => 0.37
            [high] => 0.19220000
            [low] => 0.18796000
            [mfe_pct] => 0.6
            [mae_pct] => 1.64
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-04-27T14:31:03-04:00
            [end_at] => 2025-04-27T16:31:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00114
            [max_drawdown] => 0.00413
            [rr_ratio] => 0.28
            [high] => 0.19323000
            [low] => 0.18796000
            [mfe_pct] => 0.6
            [mae_pct] => 2.18
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-04-27T14:31:03-04:00
            [end_at] => 2025-04-27T20:31:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18931000
            [high_after] => 0.19323000
            [low_before] => 0.18504000
            [low_after] => 0.18796000
            [is_new_high] => 
            [is_new_low] => 
        )

)