Trade

sell - 1000BONK

Status

loss

2025-03-29 19:43:53

1 minute

PNL

0.00

Entry: 0.01129

Last: 0.01130000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Accuracy
	n/a

Prediction 2	Accuracy
	n/a

ML Trade Score: -100

ML Pullback Score: 0.85

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.12
atr: 3.59077E-5

Details

score: 1.12
long_trend_details
ema9 - 0.0112421
ema21 - 0.0115123
ema50 - 0.0121255
ema9_ema21_diff - -2.34654
ema21_ema50_diff - -5.05759
ema9_ema50_diff - -7.28545
price_ema21_diff - -1.93988
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on 1000BONK

The 29 Mar 2025 at 19:43:53

With 148528.9599 1000BONK at 0.01129$ per unit.

Position size of 1676.7434 $

Take profit at 0.01121 (0.71 %) and Stop Loss at 0.01134 (0.44 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -14.17 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
MEW	2025-04-03 17:12:14	0.9623	-56.67	3
BGB	2025-03-28 13:41:37	0.9591	-96.67	3
HIPPO	2025-05-15 04:52:37	0.9617	-100	2
SYRUP	2025-06-21 00:38:44	0.9587	50	2
NOT	2025-04-06 21:31:30	0.9595	100	1
ZRO	2025-04-09 00:31:25	0.9552	-100	1
SUI	2025-03-29 19:43:53	0.9549	50	1
OP	2025-05-30 09:16:15	0.9544	40	1

📌 Time Data

Start at	Closed at	Duration
29 Mar 2025 19:43:53	29 Mar 2025 19:45:00	1 minute

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.01129	0.01134	0.01121	1.6	0.03326

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 0.01129
Stop Loss: 0.01134
Take Profit: 0.01121

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.01134 - 0.01129 = 5.0E-5
Récompense (distance jusqu'au take profit):

E - TP = 0.01129 - 0.01121 = 8.0E-5
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 8.0E-5 / 5.0E-5 = 1.6

📌 Position Size

Amount	Margin	Quantity	Leverage
1676.7434	1676.7434	148528.9599	16.77

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 5.0E-5

Taille de position = 8 / 5.0E-5 = 160000

Taille de position USD = 160000 x 0.01129 = 1806.4

Donc, tu peux acheter 160000 avec un stoploss a 0.01134

Avec un position size USD de 1806.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 160000 x 5.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 160000 x 8.0E-5 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

Taille de position 160000
Taille de position USD 1806.4
Perte potentielle 8
Gain potentiel 12.8
Risk-Reward Ratio 1.6

📌 Peformances

TP % Target	TP $ Target
0.71 %	11.88 $

SL % Target	SL $ Target
0.44 %	7.43 $

PNL	PNL %
0 $	0.00

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.42477876106196 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.01121
            [entry_price] => 0.01129
            [stop_loss] => 0.011345
            [rr_ratio] => 1.45
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 19:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.01121
            [entry_price] => 0.01129
            [stop_loss] => 0.01135
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.01121
            [entry_price] => 0.01129
            [stop_loss] => 0.011355
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.01121
            [entry_price] => 0.01129
            [stop_loss] => 0.011365
            [rr_ratio] => 1.07
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 19:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000137
            [max_drawdown] => 0.000184
            [rr_ratio] => 0.74
            [high] => 0.01147400
            [low] => 0.01115300
            [mfe_pct] => 1.21
            [mae_pct] => 1.63
            [mfe_mae_ratio] => 0.74
            [candles_analyzed] => 24
            [start_at] => 2025-03-29T19:43:53-04:00
            [end_at] => 2025-03-29T21:43:53-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000137
            [max_drawdown] => 0.000319
            [rr_ratio] => 0.43
            [high] => 0.01160900
            [low] => 0.01115300
            [mfe_pct] => 1.21
            [mae_pct] => 2.83
            [mfe_mae_ratio] => 0.43
            [candles_analyzed] => 72
            [start_at] => 2025-03-29T19:43:53-04:00
            [end_at] => 2025-03-30T01:43:53-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01131600
            [high_after] => 0.01160900
            [low_before] => 0.01104000
            [low_after] => 0.01115300
            [is_new_high] => 
            [is_new_low] => 
        )

)