Long Trade on HYPE

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Long Trade on HYPE 11 Apr 2025 at 07:44:31

Take profit at 15.1587 (1.3 %) and Stop Loss at 14.8342 (0.87 %)

Long Trade on HYPE

The 11 Apr 2025 at 07:44:31

With 61.641 HYPE at 14.964$ per unit.

Position size of 922.3961 $

Take profit at 15.1587 (1.3 %) and Stop Loss at 14.8342 (0.87 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -80

ML Pullback Score: 3.87

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.11
atr: 0.08652248203

Details

score: 2.11
1H
ema9 : 15.0269
ema21 : 14.6565
ema50 : 13.9238
price_ema9_diff : -0.00429171
ema9_ema21_diff : 0.025267
ema21_ema50_diff : 0.0526249
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.580513
kc_percentage : 0.685176
kc_width_percentage : 0.100543
15m
ema9 : 15.1503
ema21 : 15.1531
ema50 : 14.9244
price_ema9_diff : -0.0122961
ema9_ema21_diff : -0.000184657
ema21_ema50_diff : 0.0153247
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.431752
kc_percentage : 0.213261
kc_width_percentage : 0.0451904
5m
ema9 : 15.082
ema21 : 15.17
ema50 : 15.205
price_ema9_diff : -0.00777899
ema9_ema21_diff : -0.00580174
ema21_ema50_diff : -0.00230136
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.323728
kc_percentage : -0.109266
kc_width_percentage : 0.0221344

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
11 Apr 2025 07:44:31	11 Apr 2025 08:00:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
14.964	14.8342	15.1587	1.5	27.443

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 14.964
Stop Loss: 14.8342
Take Profit: 15.1587

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 14.8342 - 14.964 = -0.1298
Récompense (distance jusqu'au take profit):

E - TP = 14.964 - 15.1587 = -0.1947
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.1947 / -0.1298 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
922.3961	100	61.641	9.22

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 -0.1298

Taille de position = 8 / -0.1298 = -61.63

Taille de position USD = -61.63 x 14.964 = -922.23

Donc, tu peux acheter -61.63 avec un stoploss a 14.8342

Avec un position size USD de -922.23$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -61.63 x -0.1298 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -61.63 x -0.1947 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -61.63
Taille de position USD -922.23
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.3 %	12 $

SL % Target	SL $ Target
0.87 %	8 $

PNL	PNL %
-8.02 $	-0.87

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.88235294117648 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 15.16
            [entry_price] => 14.96
            [stop_loss] => 14.817
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-11 08:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 15.16
            [entry_price] => 14.96
            [stop_loss] => 14.804
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-11 08:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 15.16
            [entry_price] => 14.96
            [stop_loss] => 14.791
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-11 09:35:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 15.16
            [entry_price] => 14.96
            [stop_loss] => 14.765
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-11 09:35:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.388
            [max_drawdown] => 0.169
            [rr_ratio] => 2.3
            [high] => 15.35200000
            [low] => 14.79500000
            [mfe_pct] => 2.59
            [mae_pct] => 1.13
            [mfe_mae_ratio] => 2.3
            [candles_analyzed] => 24
            [start_at] => 2025-04-11T07:44:31-04:00
            [end_at] => 2025-04-11T09:44:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.578
            [max_drawdown] => 0.171
            [rr_ratio] => 3.38
            [high] => 15.54200000
            [low] => 14.79300000
            [mfe_pct] => 3.86
            [mae_pct] => 1.14
            [mfe_mae_ratio] => 3.38
            [candles_analyzed] => 72
            [start_at] => 2025-04-11T07:44:31-04:00
            [end_at] => 2025-04-11T13:44:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 15.55900000
            [high_after] => 15.54200000
            [low_before] => 14.94300000
            [low_after] => 14.79300000
            [is_new_high] => 
            [is_new_low] => 
        )

)