Trade

sell - NEO

Status

loss

2025-03-31 19:14:05

55 seconds

PNL

-0.65

Entry: 5.264

Last: 5.29810000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.96

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0
atr: 0.0227418

Details

score: 1
long_trend_details
ema9 - 5.23831
ema21 - 5.38656
ema50 - 5.75309
ema9_ema21_diff - -2.75218
ema21_ema50_diff - -6.37097
ema9_ema50_diff - -8.94781
price_ema21_diff - -2.27542
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on NEO

The 31 Mar 2025 at 19:14:05

With 234.5168 NEO at 5.264$ per unit.

Position size of 1234.4962 $

Take profit at 5.2128 (0.97 %) and Stop Loss at 5.2981 (0.65 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -39.09 %

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OBOL	2025-06-11 19:48:49	0.8124	40	2
WCT	2025-06-09 15:10:54	0.8103	-100	1
S	2025-05-17 10:33:45	0.8039	30	1
BGB	2025-04-24 20:52:24	0.8036	-100	1
SAHARA	2025-07-13 00:51:15	0.8005	-100	1
STX	2025-05-17 10:31:26	0.7991	30	1
1000BONK	2025-06-18 00:54:04	0.7939	40	2
TRB	2025-06-13 11:08:59	0.7975	-100	1
1MBABYDOGE	2025-06-18 01:26:47	0.7933	-100	1
COMP	2025-06-13 11:02:39	0.7901	-100	1

📌 Time Data

Start at	Closed at	Duration
31 Mar 2025 19:14:05	31 Mar 2025 19:15:00	55 seconds

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
5.264	5.2981	5.2128	1.5	6.634

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 5.264
Stop Loss: 5.2981
Take Profit: 5.2128

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 5.2981 - 5.264 = 0.0341
Récompense (distance jusqu'au take profit):

E - TP = 5.264 - 5.2128 = 0.051200000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.051200000000001 / 0.0341 = 1.5015

📌 Position Size

Amount	Margin	Quantity	Leverage
1234.4962	1234.4962	234.5168	12.34

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 0.0341

Taille de position = 8 / 0.0341 = 234.6

Taille de position USD = 234.6 x 5.264 = 1234.93

Donc, tu peux acheter 234.6 avec un stoploss a 5.2981

Avec un position size USD de 1234.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 234.6 x 0.0341 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 234.6 x 0.051200000000001 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

Taille de position 234.6
Taille de position USD 1234.93
Perte potentielle 8
Gain potentiel 12.01
Risk-Reward Ratio 1.5015

📌 Peformances

TP % Target	TP $ Target
0.97 %	12.01 $

SL % Target	SL $ Target
0.65 %	8 $

PNL	PNL %
-8 $	-0.65

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.2537993920973 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 5.213
            [entry_price] => 5.264
            [stop_loss] => 5.3014
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 5.213
            [entry_price] => 5.264
            [stop_loss] => 5.3048
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 5.213
            [entry_price] => 5.264
            [stop_loss] => 5.3082
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 5.213
            [entry_price] => 5.264
            [stop_loss] => 5.315
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 19:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.075
            [max_drawdown] => 0.12
            [rr_ratio] => 0.63
            [high] => 5.38400000
            [low] => 5.18900000
            [mfe_pct] => 1.42
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 0.63
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T19:14:05-04:00
            [end_at] => 2025-03-31T21:14:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.091
            [max_drawdown] => 0.12
            [rr_ratio] => 0.76
            [high] => 5.38400000
            [low] => 5.17300000
            [mfe_pct] => 1.73
            [mae_pct] => 2.28
            [mfe_mae_ratio] => 0.76
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T19:14:05-04:00
            [end_at] => 2025-04-01T01:14:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.32200000
            [high_after] => 5.38400000
            [low_before] => 5.15000000
            [low_after] => 5.17300000
            [is_new_high] => 
            [is_new_low] => 
        )

)