Trade

sell - 1000BONK

Status

win

2025-05-03 08:44:25

1 hour

PNL

0.92

Entry: 0.01745

Last: 0.01729000

Results

Status:

win

Trade Type:

sell

Prediction Score: 0.9533

Prediction 1	Accuracy
Weak Trade	n/a

Prediction 2	Accuracy
0	n/a

ML Trade Score: 120

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.07
atr: 6.787488688E-5

Details

score: 1.07
1H
ema9 - 0.017632
ema21 - 0.0180006
ema50 - 0.0184613
price_ema9_diff - -0.0103337
ema9_ema21_diff - -0.020477
ema21_ema50_diff - -0.0249589
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.350328
kc_percentage - 0.0551411
kc_width_percentage - 0.0684905
15m
ema9 - 0.0173157
ema21 - 0.0174828
ema50 - 0.017809
price_ema9_diff - 0.0074508
ema9_ema21_diff - -0.00955853
ema21_ema50_diff - -0.0183139
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.439403
kc_percentage - 0.458755
kc_width_percentage - 0.0311433
5m
ema9 - 0.0173296
ema21 - 0.0172932
ema50 - 0.0174204
price_ema9_diff - 0.00672572
ema9_ema21_diff - 0.00210888
ema21_ema50_diff - -0.00730092
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.627855
kc_percentage - 1.07408
kc_width_percentage - 0.0154217

Short Trade on 1000BONK

The 03 May 2025 at 08:44:25

With 78580 1000BONK at 0.01745$ per unit.

Position size of 1371 $

Take profit at 0.01729 (0.92 %) and Stop Loss at 0.01755 (0.57 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -42.86 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ONDO	2025-05-03 08:43:55	0.967	-100	3
WIF	2025-05-03 08:25:04	0.9635	30	1
UNI	2025-05-03 08:40:34	0.9516	-100	2
BGB	2025-06-05 08:42:22	0.9519	-100	4
TIA	2025-06-21 20:38:57	0.952	40	1
AI16Z	2025-06-12 23:38:07	0.9481	30	1
VIRTUAL	2025-06-12 23:37:38	0.9471	-100	1

📌 Time Data

Start at	Closed at	Duration
03 May 2025 08:44:25	03 May 2025 10:15:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01745	0.01755	0.01729	1.6	0.02235

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 0.01745
Stop Loss: 0.01755
Take Profit: 0.01729

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01755 - 0.01745 = 9.9999999999999E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.01745 - 0.01729 = 0.00016
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00016 / 9.9999999999999E-5 = 1.6

📌 Position Size

Amount	Margin	Quantity	Leverage
1371	100	78580	13.71

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 9.9999999999999E-5

Taille de position = 8 / 9.9999999999999E-5 = 80000

Taille de position USD = 80000 x 0.01745 = 1396

Donc, tu peux acheter 80000 avec un stoploss a 0.01755

Avec un position size USD de 1396$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 80000 x 9.9999999999999E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 80000 x 0.00016 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

Taille de position 80000
Taille de position USD 1396
Perte potentielle 8
Gain potentiel 12.8
Risk-Reward Ratio 1.6

📌 Peformances

TP % Target	TP $ Target
0.92 %	13 $

SL % Target	SL $ Target
0.57 %	7.9 $

PNL	PNL %
13 $	0.92

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.29799426934097 %	0 %	0

📌 ML Extra Data

Extra TP Data


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    [2] => Array
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            [take_profit] => 0.01725
            [stop_loss] => 0.01755
            [rr_ratio] => 2
            [closed_at] => 2025-05-03 10:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0172
            [stop_loss] => 0.01755
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-03 12:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01715
            [stop_loss] => 0.01755
            [rr_ratio] => 3
            [closed_at] => 2025-05-03 12:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0171
            [stop_loss] => 0.01755
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-03 12:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.01705
            [stop_loss] => 0.01755
            [rr_ratio] => 4
            [closed_at] => 2025-05-03 12:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.017
            [stop_loss] => 0.01755
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01695
            [stop_loss] => 0.01755
            [rr_ratio] => 5
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0169
            [stop_loss] => 0.01755
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.01685
            [stop_loss] => 0.01755
            [rr_ratio] => 6
            [closed_at] => 2025-05-03 13:05:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)