Trade

buy - BNB

Status

loss

2025-04-01 02:03:53

1 minute

PNL

-0.12

Entry: 607.18

Last: 606.46920000

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: -60

ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.2
atr: 0.473854

Details

score: 2.2
long_trend_details
ema9 - 606.862
ema21 - 604.843
ema50 - 604.685
ema9_ema21_diff - 0.333817
ema21_ema50_diff - 0.0260465
ema9_ema50_diff - 0.35995
price_ema21_diff - 0.386301
all_emas_in_trend - True
all_emas_and_price_in_trend - True

Long Trade on BNB

The 01 Apr 2025 at 02:03:53

With 11.2552 BNB at 607.18$ per unit.

Position size of 6833.9474 $

Take profit at 608.2462 (0.18 %) and Stop Loss at 606.4692 (0.12 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -39.17 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
RENDER	2025-07-26 08:10:07	0.8945	40	1
POL	2025-07-03 04:16:50	0.8829	50	2
HNT	2025-04-13 08:21:29	0.8827	-100	1
NEIROCTO	2025-07-03 04:35:35	0.8778	-100	2
NEIROCTO	2025-08-13 01:58:21	0.8767	-100	1
SONIC	2025-04-11 15:42:15	0.8765	-100	1
BANANA	2025-05-29 00:48:15	0.8695	40	1
ENA	2025-08-07 18:44:13	0.8682	-100	1
BCH	2025-07-10 07:06:36	0.8678	50	1
MUBARAK	2025-08-13 01:49:15	0.8643	-100	1
ACT	2025-04-15 08:21:27	0.8635	-100	1
VET	2025-07-10 06:14:13	0.8629	50	1

📌 Time Data

Start at	Closed at	Duration
01 Apr 2025 02:03:53	01 Apr 2025 02:05:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
607.18	606.4692	608.2462	1.5	878.69

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 607.18
Stop Loss: 606.4692
Take Profit: 608.2462

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 606.4692 - 607.18 = -0.71079999999995
Récompense (distance jusqu'au take profit):

E - TP = 607.18 - 608.2462 = -1.0662000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -1.0662000000001 / -0.71079999999995 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
6833.9474	6833.9474	11.2552	68.34

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 -0.71079999999995

Taille de position = 8 / -0.71079999999995 = -11.25

Taille de position USD = -11.25 x 607.18 = -6830.78

Donc, tu peux acheter -11.25 avec un stoploss a 606.4692

Avec un position size USD de -6830.78$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11.25 x -0.71079999999995 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11.25 x -1.0662000000001 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

Taille de position -11.25
Taille de position USD -6830.78
Perte potentielle 8
Gain potentiel 11.99
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.18 %	12 $

SL % Target	SL $ Target
0.12 %	8 $

PNL	PNL %
-8 $	-0.12

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.12022793899666 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 608.2
            [entry_price] => 607.2
            [stop_loss] => 606.43
            [rr_ratio] => 1.3
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-01 02:15:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 608.2
            [entry_price] => 607.2
            [stop_loss] => 606.36
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-01 02:15:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 608.2
            [entry_price] => 607.2
            [stop_loss] => 606.29
            [rr_ratio] => 1.1
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-01 02:15:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 608.2
            [entry_price] => 607.2
            [stop_loss] => 606.15
            [rr_ratio] => 0.95
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-01 02:15:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.1500000000001
            [max_drawdown] => 0.7299999999999
            [rr_ratio] => 5.68
            [high] => 611.33000000
            [low] => 606.45000000
            [mfe_pct] => 0.68
            [mae_pct] => 0.12
            [mfe_mae_ratio] => 5.68
            [candles_analyzed] => 24
            [start_at] => 2025-04-01T02:03:53-04:00
            [end_at] => 2025-04-01T04:03:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 11.07
            [max_drawdown] => 1.0699999999999
            [rr_ratio] => 10.35
            [high] => 618.25000000
            [low] => 606.11000000
            [mfe_pct] => 1.82
            [mae_pct] => 0.18
            [mfe_mae_ratio] => 10.35
            [candles_analyzed] => 72
            [start_at] => 2025-04-01T02:03:53-04:00
            [end_at] => 2025-04-01T08:03:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 610.37000000
            [high_after] => 618.25000000
            [low_before] => 606.00000000
            [low_after] => 606.11000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)