Short Trade on HYPE

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Short Trade on HYPE 24 Apr 2025 at 05:32:15

Take profit at 17.9635 (0.9 %) and Stop Loss at 18.236 (0.6 %)

Short Trade on HYPE

The 24 Apr 2025 at 05:32:15

With 73.4028 HYPE at 18.127$ per unit.

Position size of 1330.5731 $

Take profit at 17.9635 (0.9 %) and Stop Loss at 18.236 (0.6 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -70

ML Pullback Score: 2.73

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
atr: 0.07265841464

Details

score: 1
1H
ema9 : 18.143
ema21 : 18.3282
ema50 : 18.4459
price_ema9_diff : -0.000876499
ema9_ema21_diff : -0.0101015
ema21_ema50_diff : -0.00638097
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.441319
kc_percentage : 0.341497
kc_width_percentage : 0.0659968
15m
ema9 : 18.0109
ema21 : 18.0821
ema50 : 18.2304
price_ema9_diff : 0.00642011
ema9_ema21_diff : -0.00393886
ema21_ema50_diff : -0.00813686
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.50555
kc_percentage : 0.605252
kc_width_percentage : 0.0266925
5m
ema9 : 17.986
ema21 : 17.9731
ema50 : 18.0461
price_ema9_diff : 0.00784286
ema9_ema21_diff : 0.000717403
ema21_ema50_diff : -0.00404291
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.614026
kc_percentage : 1.00294
kc_width_percentage : 0.0170702

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
24 Apr 2025 05:32:15	24 Apr 2025 05:45:00	12 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
18.127	18.236	17.9635	1.5	28.363

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 18.127
Stop Loss: 18.236
Take Profit: 17.9635

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 18.236 - 18.127 = 0.109
Récompense (distance jusqu'au take profit):

E - TP = 18.127 - 17.9635 = 0.1635
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.1635 / 0.109 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1330.5731	100	73.4028	13.31

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 0.109

Taille de position = 8 / 0.109 = 73.39

Taille de position USD = 73.39 x 18.127 = 1330.34

Donc, tu peux acheter 73.39 avec un stoploss a 18.236

Avec un position size USD de 1330.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 73.39 x 0.109 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 73.39 x 0.1635 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 73.39
Taille de position USD 1330.34
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.9 %	12 $

SL % Target	SL $ Target
0.6 %	8 $

PNL	PNL %
-8.07 $	-0.61

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.60672917815775 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 17.96
            [entry_price] => 18.13
            [stop_loss] => 18.251
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-24 05:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 17.96
            [entry_price] => 18.13
            [stop_loss] => 18.262
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-24 06:30:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 17.96
            [entry_price] => 18.13
            [stop_loss] => 18.273
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-24 06:30:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 17.96
            [entry_price] => 18.13
            [stop_loss] => 18.295
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-24 06:30:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.269
            [max_drawdown] => 0.126
            [rr_ratio] => 2.13
            [high] => 18.25300000
            [low] => 17.85800000
            [mfe_pct] => 1.48
            [mae_pct] => 0.7
            [mfe_mae_ratio] => 2.13
            [candles_analyzed] => 24
            [start_at] => 2025-04-24T05:32:15-04:00
            [end_at] => 2025-04-24T07:32:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.366
            [max_drawdown] => 0.214
            [rr_ratio] => 1.71
            [high] => 18.34100000
            [low] => 17.76100000
            [mfe_pct] => 2.02
            [mae_pct] => 1.18
            [mfe_mae_ratio] => 1.71
            [candles_analyzed] => 72
            [start_at] => 2025-04-24T05:32:15-04:00
            [end_at] => 2025-04-24T11:32:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 18.34300000
            [high_after] => 18.34100000
            [low_before] => 17.73400000
            [low_after] => 17.76100000
            [is_new_high] => 
            [is_new_low] => 
        )

)