Trade

buy - MOCA

Status

loss

2025-04-01 19:14:24

45 minutes

PNL

-0.58

Entry: 0.08624

Last: 0.08570000

Results

Status:

loss

Trade Type:

buy

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

ML Trade Score: -90

ML Pullback Score: 4.53

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.01
atr: 0.000369436

Details

score: 2.01
long_trend_details
ema9 - 0.0872132
ema21 - 0.0861512
ema50 - 0.0860325
ema9_ema21_diff - 1.23278
ema21_ema50_diff - 0.137926
ema9_ema50_diff - 1.37241
price_ema21_diff - 0.103034
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Long Trade on MOCA

The 01 Apr 2025 at 19:14:24

With 14436.4202 MOCA at 0.08624$ per unit.

Position size of 1244.9969 $

Take profit at 0.08707 (0.96 %) and Stop Loss at 0.08569 (0.64 %)

That's a 1.51 RR Trade

📌 Similar Trades

Similar Trade Score: -13.75 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
VIC	2025-07-07 19:21:13	0.7872	-100	2
KERNEL	2025-05-23 06:57:19	0.7786	-100	5
ADA	2025-04-01 19:14:24	0.7817	40	1
LPT	2025-06-27 19:11:06	0.7789	50	2
SYRUP	2025-06-11 17:43:43	0.7758	-100	1
BABY	2025-07-10 07:58:59	0.7739	40	1
PNUT	2025-05-11 15:39:35	0.7686	30	1
LINK	2025-04-01 19:14:24	0.7686	30	1

📌 Time Data

Start at	Closed at	Duration
01 Apr 2025 19:14:24	01 Apr 2025 20:00:00	45 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.08624	0.08569	0.08707	1.51	0.0858

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 0.08624
Stop Loss: 0.08569
Take Profit: 0.08707

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.08569 - 0.08624 = -0.00054999999999999
Récompense (distance jusqu'au take profit):

E - TP = 0.08624 - 0.08707 = -0.00083
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00083 / -0.00054999999999999 = 1.5091

📌 Position Size

Amount	Margin	Quantity	Leverage
1244.9969	1244.9969	14436.4202	12.45

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 -0.00054999999999999

Taille de position = 8 / -0.00054999999999999 = -14545.45

Taille de position USD = -14545.45 x 0.08624 = -1254.4

Donc, tu peux acheter -14545.45 avec un stoploss a 0.08569

Avec un position size USD de -1254.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -14545.45 x -0.00054999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -14545.45 x -0.00083 = 12.07

Si Take Profit atteint, tu gagneras 12.07$

Résumé

Taille de position -14545.45
Taille de position USD -1254.4
Perte potentielle 8
Gain potentiel 12.07
Risk-Reward Ratio 1.5091

📌 Peformances

TP % Target	TP $ Target
0.96 %	11.98 $

SL % Target	SL $ Target
0.64 %	7.94 $

PNL	PNL %
-7.22 $	-0.58

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.88167053364269 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.08707
            [entry_price] => 0.08624
            [stop_loss] => 0.085635
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 20:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.08707
            [entry_price] => 0.08624
            [stop_loss] => 0.08558
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 20:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.08707
            [entry_price] => 0.08624
            [stop_loss] => 0.085525
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 20:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.08707
            [entry_price] => 0.08624
            [stop_loss] => 0.085415
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 20:05:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00371
            [max_drawdown] => 0.00156
            [rr_ratio] => 2.38
            [high] => 0.08995000
            [low] => 0.08468000
            [mfe_pct] => 4.3
            [mae_pct] => 1.81
            [mfe_mae_ratio] => 2.38
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T19:14:24-04:00
            [end_at] => 2025-04-01T21:14:24-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00371
            [max_drawdown] => 0.00358
            [rr_ratio] => 1.04
            [high] => 0.08995000
            [low] => 0.08266000
            [mfe_pct] => 4.3
            [mae_pct] => 4.15
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T19:14:24-04:00
            [end_at] => 2025-04-02T01:14:24-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.08810000
            [high_after] => 0.08995000
            [low_before] => 0.08602000
            [low_after] => 0.08266000
            [is_new_high] => 1
            [is_new_low] => 
        )

)