Short Trade on HYPE

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Short Trade on HYPE 05 May 2025 at 12:25:42

Take profit at 20.0559 (0.99 %) and Stop Loss at 20.3894 (0.66 %)

Short Trade on HYPE

The 05 May 2025 at 12:25:42

With 59.9618 HYPE at 20.256$ per unit.

Position size of 1214.5866 $

Take profit at 20.0559 (0.99 %) and Stop Loss at 20.3894 (0.66 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -80

ML Pullback Score: 2.07

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	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: 0.03
atr: 0.08894548672

Details

score: 1.03
1H
ema9 : 20.2264
ema21 : 20.3322
ema50 : 20.4724
price_ema9_diff : 0.00145479
ema9_ema21_diff : -0.00520617
ema21_ema50_diff : -0.00684588
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.46685
kc_percentage : 0.439743
kc_width_percentage : 0.0565274
15m
ema9 : 20.0814
ema21 : 20.1348
ema50 : 20.2524
price_ema9_diff : 0.00866993
ema9_ema21_diff : -0.0026519
ema21_ema50_diff : -0.0058086
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.537531
kc_percentage : 0.693505
kc_width_percentage : 0.0323324
5m
ema9 : 20.1042
ema21 : 20.0696
ema50 : 20.1044
price_ema9_diff : 0.00756098
ema9_ema21_diff : 0.00172635
ema21_ema50_diff : -0.00173167
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.633038
kc_percentage : 1.0281
kc_width_percentage : 0.0173742

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
05 May 2025 12:25:42	05 May 2025 14:35:00	2 hours

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
20.256	20.3894	20.0559	1.5	28.271

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 20.256
Stop Loss: 20.3894
Take Profit: 20.0559

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 20.3894 - 20.256 = 0.1334
Récompense (distance jusqu'au take profit):

E - TP = 20.256 - 20.0559 = 0.2001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.2001 / 0.1334 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1214.5866	100	59.9618	12.15

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 20.256 = 1214.75

Donc, tu peux acheter 59.97 avec un stoploss a 20.3894

Avec un position size USD de 1214.75$

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 1214.75
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.99 %	12 $

SL % Target	SL $ Target
0.66 %	8 $

PNL	PNL %
-7.79 $	-0.64

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.82922013820335 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 20.06
            [entry_price] => 20.26
            [stop_loss] => 20.403
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-05 14:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 20.06
            [entry_price] => 20.26
            [stop_loss] => 20.416
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-05 14:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 20.06
            [entry_price] => 20.26
            [stop_loss] => 20.429
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-05 16:05:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 20.06
            [entry_price] => 20.26
            [stop_loss] => 20.455
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-05 16:05:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.124
            [max_drawdown] => 0.119
            [rr_ratio] => 1.04
            [high] => 20.37500000
            [low] => 20.13200000
            [mfe_pct] => 0.61
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 24
            [start_at] => 2025-05-05T12:25:42-04:00
            [end_at] => 2025-05-05T14:25:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.354
            [max_drawdown] => 0.172
            [rr_ratio] => 2.06
            [high] => 20.42800000
            [low] => 19.90200000
            [mfe_pct] => 1.75
            [mae_pct] => 0.85
            [mfe_mae_ratio] => 2.06
            [candles_analyzed] => 72
            [start_at] => 2025-05-05T12:25:42-04:00
            [end_at] => 2025-05-05T18:25:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 20.27700000
            [high_after] => 20.42800000
            [low_before] => 19.84700000
            [low_after] => 19.90200000
            [is_new_high] => 
            [is_new_low] => 
        )

)