Long Trade on HYPE

The 01 Apr 2025 at 03:23:51

With 86.692 HYPE at 13.357$ per unit.

Position size of 1157.9446 $

Take profit at 13.4954 (1.04 %) and Stop Loss at 13.2647 (0.69 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 120

ML Pullback Score: 10

Prediction Score:

Prediction 1	Probability
	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: 0.02
atr: 0.0615205

Details

score: 2.02
long_trend_details
ema9 - 13.3738
ema21 - 13.1609
ema50 - 12.993
ema9_ema21_diff - 1.61772
ema21_ema50_diff - 1.29181
ema9_ema50_diff - 2.93044
price_ema21_diff - 1.48977
all_emas_in_trend - True
all_emas_and_price_in_trend - False

📌 Time Data

Start at	Closed at	Duration
01 Apr 2025 03:23:51	01 Apr 2025 04:00:00	36 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
13.357	13.2647	13.4954	1.5	29.345

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 13.357
Stop Loss: 13.2647
Take Profit: 13.4954

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 13.2647 - 13.357 = -0.0923
Récompense (distance jusqu'au take profit):

E - TP = 13.357 - 13.4954 = -0.1384
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.1384 / -0.0923 = 1.4995

📌 Position Size

Amount	Margin	Quantity	Leverage
1157.9446	1157.9446	86.692	11.58

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 -0.0923

Taille de position = 8 / -0.0923 = -86.67

Taille de position USD = -86.67 x 13.357 = -1157.65

Donc, tu peux acheter -86.67 avec un stoploss a 13.2647

Avec un position size USD de -1157.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -86.67 x -0.0923 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -86.67 x -0.1384 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -86.67
Taille de position USD -1157.65
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.4995

📌 Peformances

TP % Target	TP $ Target
1.04 %	12 $

SL % Target	SL $ Target
0.69 %	8 $

PNL	PNL %
12 $	1.04

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.20214119937111 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 13.56
            [stop_loss] => 13.26
            [rr_ratio] => 2
            [closed_at] => 2025-04-01 04:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 13.61
            [stop_loss] => 13.26
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-01 04:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 13.66
            [stop_loss] => 13.26
            [rr_ratio] => 3
            [closed_at] => 2025-04-01 04:10:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 13.71
            [stop_loss] => 13.26
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-01 04:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 13.76
            [stop_loss] => 13.26
            [rr_ratio] => 4
            [closed_at] => 2025-04-01 04:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 13.81
            [stop_loss] => 13.26
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-01 04:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 13.86
            [stop_loss] => 13.26
            [rr_ratio] => 5
            [closed_at] => 2025-04-01 04:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 13.91
            [stop_loss] => 13.26
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-01 05:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 13.9108
            [stop_loss] => 13.2647
            [rr_ratio] => 6
            [closed_at] => 2025-04-01 05:40:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.522
            [max_drawdown] => 0.026999999999999
            [rr_ratio] => 19.33
            [high] => 13.87900000
            [low] => 13.33000000
            [mfe_pct] => 3.91
            [mae_pct] => 0.2
            [mfe_mae_ratio] => 19.33
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T03:23:51-04:00
            [end_at] => 2025-04-01T05:23:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.576
            [max_drawdown] => 0.026999999999999
            [rr_ratio] => 21.33
            [high] => 13.93300000
            [low] => 13.33000000
            [mfe_pct] => 4.31
            [mae_pct] => 0.2
            [mfe_mae_ratio] => 21.33
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T03:23:51-04:00
            [end_at] => 2025-04-01T09:23:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 13.80500000
            [high_after] => 13.93300000
            [low_before] => 13.34100000
            [low_after] => 13.33000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)