Long Trade on NEO

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Long Trade on NEO 10 Apr 2025 at 01:30:44

Take profit at 5.7384 (1.67 %) and Stop Loss at 5.5811 (1.11 %)

Long Trade on NEO

The 10 Apr 2025 at 01:30:44

With 127.1046 NEO at 5.644$ per unit.

Position size of 717.3782 $

Take profit at 5.7384 (1.67 %) and Stop Loss at 5.5811 (1.11 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.16

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: 0.04196020319

Details

score: 2.11
1H
ema9 : 5.714
ema21 : 5.63822
ema50 : 5.42141
price_ema9_diff : -0.0124166
ema9_ema21_diff : 0.0134414
ema21_ema50_diff : 0.0399899
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.532065
kc_percentage : 0.496669
kc_width_percentage : 0.108708
15m
ema9 : 5.72672
ema21 : 5.7453
ema50 : 5.71467
price_ema9_diff : -0.014398
ema9_ema21_diff : -0.00323464
ema21_ema50_diff : 0.00535962
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.414571
kc_percentage : 0.18232
kc_width_percentage : 0.0565463
5m
ema9 : 5.71663
ema21 : 5.74966
ema50 : 5.76436
price_ema9_diff : -0.0126335
ema9_ema21_diff : -0.00574359
ema21_ema50_diff : -0.00254992
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.336801
kc_percentage : -0.113143
kc_width_percentage : 0.030042

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 01:30:44	10 Apr 2025 02:00:00	29 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.644	5.5811	5.7384	1.5	2.718

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 5.644
Stop Loss: 5.5811
Take Profit: 5.7384

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.5811 - 5.644 = -0.0629
Récompense (distance jusqu'au take profit):

E - TP = 5.644 - 5.7384 = -0.0944
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0944 / -0.0629 = 1.5008

📌 Position Size

Amount	Margin	Quantity	Leverage
717.3782	100	127.1046	7.17

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 -0.0629

Taille de position = 8 / -0.0629 = -127.19

Taille de position USD = -127.19 x 5.644 = -717.86

Donc, tu peux acheter -127.19 avec un stoploss a 5.5811

Avec un position size USD de -717.86$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -127.19 x -0.0629 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -127.19 x -0.0944 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position -127.19
Taille de position USD -717.86
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5008

📌 Peformances

TP % Target	TP $ Target
1.67 %	12 $

SL % Target	SL $ Target
1.11 %	7.99 $

PNL	PNL %
-8.01 $	-1.12

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.9766123316797 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.738
            [entry_price] => 5.644
            [stop_loss] => 5.5747
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.738
            [entry_price] => 5.644
            [stop_loss] => 5.5684
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.738
            [entry_price] => 5.644
            [stop_loss] => 5.5621
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.738
            [entry_price] => 5.644
            [stop_loss] => 5.5495
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-10 02:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.018
            [max_drawdown] => 0.196
            [rr_ratio] => 0.09
            [high] => 5.66200000
            [low] => 5.44800000
            [mfe_pct] => 0.32
            [mae_pct] => 3.47
            [mfe_mae_ratio] => 0.09
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T01:30:44-04:00
            [end_at] => 2025-04-10T03:30:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.196
            [rr_ratio] => 0.15
            [high] => 5.67300000
            [low] => 5.44800000
            [mfe_pct] => 0.51
            [mae_pct] => 3.47
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T01:30:44-04:00
            [end_at] => 2025-04-10T07:30:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.92000000
            [high_after] => 5.67300000
            [low_before] => 5.60500000
            [low_after] => 5.44800000
            [is_new_high] => 
            [is_new_low] => 
        )

)