Long Trade on HIFI

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Long Trade on HIFI 22 Apr 2025 at 01:01:52

Take profit at 0.1613 (1.26 %) and Stop Loss at 0.158 (0.82 %)

Long Trade on HIFI

The 22 Apr 2025 at 01:01:52

With 6001.8715 HIFI at 0.1593$ per unit.

Position size of 956.0981 $

Take profit at 0.1613 (1.26 %) and Stop Loss at 0.158 (0.82 %)

That's a 1.54 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: -0.15

Prediction Score: 1

Prediction 1	Probability
Strong 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: 0.1
atr: 0.0008886117218

Details

score: 2.1
1H
ema9 : 0.160705
ema21 : 0.157535
ema50 : 0.150123
price_ema9_diff : -0.00892468
ema9_ema21_diff : 0.0201227
ema21_ema50_diff : 0.0493758
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.56399
kc_percentage : 0.590055
kc_width_percentage : 0.102327
15m
ema9 : 0.161256
ema21 : 0.161648
ema50 : 0.159965
price_ema9_diff : -0.0121003
ema9_ema21_diff : -0.00242981
ema21_ema50_diff : 0.0105225
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.417321
kc_percentage : 0.180484
kc_width_percentage : 0.0466202
5m
ema9 : 0.160325
ema21 : 0.161325
ema50 : 0.161998
price_ema9_diff : -0.00635855
ema9_ema21_diff : -0.00619615
ema21_ema50_diff : -0.00415635
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.330611
kc_percentage : -0.104403
kc_width_percentage : 0.0203351

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
22 Apr 2025 01:01:52	22 Apr 2025 01:05:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1593	0.158	0.1613	1.54	0.1077

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 0.1593
Stop Loss: 0.158
Take Profit: 0.1613

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.158 - 0.1593 = -0.0013
Récompense (distance jusqu'au take profit):

E - TP = 0.1593 - 0.1613 = -0.002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.002 / -0.0013 = 1.5385

📌 Position Size

Amount	Margin	Quantity	Leverage
956.0981	100	6001.8715	9.56

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 -0.0013

Taille de position = 8 / -0.0013 = -6153.85

Taille de position USD = -6153.85 x 0.1593 = -980.31

Donc, tu peux acheter -6153.85 avec un stoploss a 0.158

Avec un position size USD de -980.31$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6153.85 x -0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6153.85 x -0.002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

Taille de position -6153.85
Taille de position USD -980.31
Perte potentielle 8
Gain potentiel 12.31
Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target	TP $ Target
1.26 %	12 $

SL % Target	SL $ Target
0.82 %	7.8 $

PNL	PNL %
-7.8 $	-0.82

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2554927809165 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1613
            [entry_price] => 0.1593
            [stop_loss] => 0.15787
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-22 01:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1613
            [entry_price] => 0.1593
            [stop_loss] => 0.15774
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-22 01:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1613
            [entry_price] => 0.1593
            [stop_loss] => 0.15761
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-22 01:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1613
            [entry_price] => 0.1593
            [stop_loss] => 0.15735
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-22 01:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00070000000000001
            [max_drawdown] => 0.0062
            [rr_ratio] => -0.11
            [high] => 0.15860000
            [low] => 0.15310000
            [mfe_pct] => -0.44
            [mae_pct] => 3.89
            [mfe_mae_ratio] => -0.11
            [candles_analyzed] => 24
            [start_at] => 2025-04-22T01:01:52-04:00
            [end_at] => 2025-04-22T03:01:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.00070000000000001
            [max_drawdown] => 0.0062
            [rr_ratio] => -0.11
            [high] => 0.15860000
            [low] => 0.15310000
            [mfe_pct] => -0.44
            [mae_pct] => 3.89
            [mfe_mae_ratio] => -0.11
            [candles_analyzed] => 72
            [start_at] => 2025-04-22T01:01:52-04:00
            [end_at] => 2025-04-22T07:01:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16910000
            [high_after] => 0.15860000
            [low_before] => 0.15790000
            [low_after] => 0.15310000
            [is_new_high] => 
            [is_new_low] => 
        )

)