Trade

buy - WIF

Status

win

2025-05-07 02:37:08

27 minutes

PNL

0.91

Entry: 0.5634

Last: 0.56850000

Results

Status:

win

Trade Type:

buy

Prediction Score: -5.9552

Prediction 1	Accuracy
Weak Trade	n/a

Prediction 2	Accuracy
0	n/a

ML Trade Score: 110

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.06
atr: 0.002272321344

Details

score: 2.06
1H
ema9 - 0.56674
ema21 - 0.559034
ema50 - 0.556016
price_ema9_diff - -0.00597584
ema9_ema21_diff - 0.0137841
ema21_ema50_diff - 0.00542825
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.53221
kc_percentage - 0.573262
kc_width_percentage - 0.0952527
15m
ema9 - 0.568995
ema21 - 0.570728
ema50 - 0.564672
price_ema9_diff - -0.00980449
ema9_ema21_diff - -0.00303623
ema21_ema50_diff - 0.0107249
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.429533
kc_percentage - 0.130593
kc_width_percentage - 0.0356118
5m
ema9 - 0.565623
ema21 - 0.568453
ema50 - 0.571491
price_ema9_diff - -0.00391093
ema9_ema21_diff - -0.00497899
ema21_ema50_diff - -0.00531518
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.350984
kc_percentage - -0.0578373
kc_width_percentage - 0.0154591

Long Trade on WIF

The 07 May 2025 at 02:37:08

With 2347 WIF at 0.5634$ per unit.

Position size of 1322 $

Take profit at 0.5685 (0.91 %) and Stop Loss at 0.56 (0.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -12.5 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BCH	2025-05-07 02:38:34	0.9607	30	5
SUI	2025-05-07 02:33:52	0.9611	40	2
AI16Z	2025-04-09 21:18:27	0.9529	-20	3
TON	2025-05-11 01:58:52	0.9531	-100	1

📌 Time Data

Start at	Closed at	Duration
07 May 2025 02:37:08	07 May 2025 03:05:00	27 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.5634	0.56	0.5685	1.5	0.8437

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 0.5634
Stop Loss: 0.56
Take Profit: 0.5685

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.56 - 0.5634 = -0.0034
Récompense (distance jusqu'au take profit):

E - TP = 0.5634 - 0.5685 = -0.0051
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0051 / -0.0034 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1322	100	2347	13.22

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 -0.0034

Taille de position = 8 / -0.0034 = -2352.94

Taille de position USD = -2352.94 x 0.5634 = -1325.65

Donc, tu peux acheter -2352.94 avec un stoploss a 0.56

Avec un position size USD de -1325.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2352.94 x -0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2352.94 x -0.0051 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -2352.94
Taille de position USD -1325.65
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.91 %	12 $

SL % Target	SL $ Target
0.6 %	8 $

PNL	PNL %
12 $	0.91

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.53248136315229 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5702
            [stop_loss] => 0.56
            [rr_ratio] => 2
            [closed_at] => 2025-05-07 03:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.5719
            [stop_loss] => 0.56
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-07 03:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5736
            [stop_loss] => 0.56
            [rr_ratio] => 3
            [closed_at] => 2025-05-07 03:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.5753
            [stop_loss] => 0.56
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-07 03:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.577
            [stop_loss] => 0.56
            [rr_ratio] => 4
            [closed_at] => 2025-05-07 03:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.5787
            [stop_loss] => 0.56
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-07 04:40:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.5804
            [stop_loss] => 0.56
            [rr_ratio] => 5
            [closed_at] => 2025-05-07 04:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.5821
            [stop_loss] => 0.56
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-07 04:45:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)