Short Trade on HYPE

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Short Trade on HYPE 16 Apr 2025 at 06:41:44

Take profit at 15.036 (0.96 %) and Stop Loss at 15.2776 (0.64 %)

Short Trade on HYPE

The 16 Apr 2025 at 06:41:44

With 82.7856 HYPE at 15.181$ per unit.

Position size of 1256.7677 $

Take profit at 15.036 (0.96 %) and Stop Loss at 15.2776 (0.64 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.37

Prediction Score:

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: 0.01
atr: 0.06442346549

Details

score: 1.01
1H
ema9 : 15.0523
ema21 : 15.2361
ema50 : 15.5115
price_ema9_diff : 0.00844321
ema9_ema21_diff : -0.0120638
ema21_ema50_diff : -0.0177562
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.4653
kc_percentage : 0.464322
kc_width_percentage : 0.0740234
15m
ema9 : 15.0561
ema21 : 15.0262
ema50 : 15.1213
price_ema9_diff : 0.00830655
ema9_ema21_diff : 0.00199298
ema21_ema50_diff : -0.00628933
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.560246
kc_percentage : 0.794684
kc_width_percentage : 0.0346823
5m
ema9 : 15.104
ema21 : 15.0528
ema50 : 15.0179
price_ema9_diff : 0.00510893
ema9_ema21_diff : 0.00340708
ema21_ema50_diff : 0.00232431
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.651435
kc_percentage : 1.00525
kc_width_percentage : 0.0163294

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
16 Apr 2025 06:41:44	16 Apr 2025 07:05:00	23 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
15.181	15.2776	15.036	1.5	31.019

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 15.181
Stop Loss: 15.2776
Take Profit: 15.036

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 15.2776 - 15.181 = 0.0966
Récompense (distance jusqu'au take profit):

E - TP = 15.181 - 15.036 = 0.145
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.145 / 0.0966 = 1.501

📌 Position Size

Amount	Margin	Quantity	Leverage
1256.7677	100	82.7856	12.57

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 0.0966

Taille de position = 8 / 0.0966 = 82.82

Taille de position USD = 82.82 x 15.181 = 1257.29

Donc, tu peux acheter 82.82 avec un stoploss a 15.2776

Avec un position size USD de 1257.29$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 82.82 x 0.0966 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 82.82 x 0.145 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position 82.82
Taille de position USD 1257.29
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.501

📌 Peformances

TP % Target	TP $ Target
0.96 %	12 $

SL % Target	SL $ Target
0.64 %	8 $

PNL	PNL %
-8.28 $	-0.66

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.77733860342556 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 15.04
            [entry_price] => 15.18
            [stop_loss] => 15.29
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-16 07:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 15.04
            [entry_price] => 15.18
            [stop_loss] => 15.3
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-16 07:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 15.04
            [entry_price] => 15.18
            [stop_loss] => 15.31
            [rr_ratio] => 1.08
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-16 07:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 15.04
            [entry_price] => 15.18
            [stop_loss] => 15.33
            [rr_ratio] => 0.93
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-16 08:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.081
            [max_drawdown] => 0.209
            [rr_ratio] => 0.39
            [high] => 15.39000000
            [low] => 15.10000000
            [mfe_pct] => 0.53
            [mae_pct] => 1.38
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-04-16T06:41:44-04:00
            [end_at] => 2025-04-16T08:41:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.081
            [max_drawdown] => 0.949
            [rr_ratio] => 0.09
            [high] => 16.13000000
            [low] => 15.10000000
            [mfe_pct] => 0.53
            [mae_pct] => 6.25
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 72
            [start_at] => 2025-04-16T06:41:44-04:00
            [end_at] => 2025-04-16T12:41:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 15.19500000
            [high_after] => 16.13000000
            [low_before] => 14.65000000
            [low_after] => 15.10000000
            [is_new_high] => 
            [is_new_low] => 
        )

)