Trade

buy - NKN

Status

win

2025-04-20 13:20:58

1 hour

PNL

9.72

Entry: 0.03961

Last: 0.04346000

Results

Status:

win

Trade Type:

buy

Prediction Score: -4.3694

Prediction 1	Accuracy
Weak Trade	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: 70

ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.01
atr: 0.001709693323

Details

score: 2.01
1H
ema9 - 0.0431719
ema21 - 0.0389496
ema50 - 0.0315241
price_ema9_diff - -0.0914497
ema9_ema21_diff - 0.108402
ema21_ema50_diff - 0.235552
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.534046
kc_percentage - 0.512529
kc_width_percentage - 0.596032
15m
ema9 - 0.0431776
ema21 - 0.044661
ema50 - 0.0426006
price_ema9_diff - -0.0798838
ema9_ema21_diff - -0.033213
ema21_ema50_diff - 0.0483658
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.376759
kc_percentage - 0.110839
kc_width_percentage - 0.326618
5m
ema9 - 0.0411095
ema21 - 0.0430166
ema50 - 0.0448883
price_ema9_diff - -0.034859
ema9_ema21_diff - -0.0443355
ema21_ema50_diff - -0.0416951
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.303192
kc_percentage - -0.0115883
kc_width_percentage - 0.161582

Long Trade on NKN

The 20 Apr 2025 at 13:20:58

With 3119.4678 NKN at 0.03961$ per unit.

Position size of 123.5621 $

Take profit at 0.04346 (9.72 %) and Stop Loss at 0.03705 (6.46 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -19.75 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
LTC	2025-05-07 08:42:28	0.9461	-38	5
FET	2025-04-24 22:47:50	0.9343	0	2
COMP	2025-07-10 07:18:58	0.9409	-100	1
PENGU	2025-06-07 11:15:53	0.927	-100	1
EOS	2025-05-02 15:03:41	0.9253	-100	2
MEW	2025-04-25 09:33:38	0.9263	90	1
TIA	2025-07-07 06:25:38	0.9231	30	1
POPCAT	2025-04-10 06:45:10	0.9227	60	1

📌 Time Data

Start at	Closed at	Duration
20 Apr 2025 13:20:58	20 Apr 2025 15:00:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.03961	0.03705	0.04346	1.5	0.03014

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 0.03961
Stop Loss: 0.03705
Take Profit: 0.04346

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.03705 - 0.03961 = -0.00256
Récompense (distance jusqu'au take profit):

E - TP = 0.03961 - 0.04346 = -0.00385
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.00385 / -0.00256 = 1.5039

📌 Position Size

Amount	Margin	Quantity	Leverage
123.5621	100	3119.4678	1.24

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 -0.00256

Taille de position = 8 / -0.00256 = -3125

Taille de position USD = -3125 x 0.03961 = -123.78

Donc, tu peux acheter -3125 avec un stoploss a 0.03705

Avec un position size USD de -123.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3125 x -0.00256 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3125 x -0.00385 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

Taille de position -3125
Taille de position USD -123.78
Perte potentielle 8
Gain potentiel 12.03
Risk-Reward Ratio 1.5039

📌 Peformances

TP % Target	TP $ Target
9.72 %	12.01 $

SL % Target	SL $ Target
6.46 %	7.99 $

PNL	PNL %
12.01 $	9.72

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.0098459984852 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.04473
            [stop_loss] => 0.03705
            [rr_ratio] => 2
            [closed_at] => 2025-04-20 15:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.04601
            [stop_loss] => 0.03705
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-20 16:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.04729
            [stop_loss] => 0.03705
            [rr_ratio] => 3
            [closed_at] => 2025-04-20 16:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.04857
            [stop_loss] => 0.03705
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-20 16:25:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00557
            [max_drawdown] => 0.0004
            [rr_ratio] => 13.93
            [high] => 0.04518000
            [low] => 0.03921000
            [mfe_pct] => 14.06
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 13.93
            [candles_analyzed] => 24
            [start_at] => 2025-04-20T13:20:58-04:00
            [end_at] => 2025-04-20T15:20:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01019
            [max_drawdown] => 0.0004
            [rr_ratio] => 25.48
            [high] => 0.04980000
            [low] => 0.03921000
            [mfe_pct] => 25.73
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 25.48
            [candles_analyzed] => 72
            [start_at] => 2025-04-20T13:20:58-04:00
            [end_at] => 2025-04-20T19:20:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.05548000
            [high_after] => 0.04980000
            [low_before] => 0.03916000
            [low_after] => 0.03921000
            [is_new_high] => 
            [is_new_low] => 
        )

)