Trade

sell - PI

Status

loss

2025-03-26 14:05:23

4 minutes

PNL

-0.87

Entry: 0.8013

Last: 0.80830000

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: 0.44

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0
atr: 0.0046398199692805

Details

score: 1

Short Trade on PI

The 26 Mar 2025 at 14:05:23

With 1149.4699 PI at 0.8013$ per unit.

Position size of 921.0702 $

Take profit at 0.7909 (1.3 %) and Stop Loss at 0.8083 (0.87 %)

That's a 1.49 RR Trade

📌 Similar Trades

Similar Trade Score: 5.5 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ORDI	2025-05-23 23:17:15	0.9523	35	2
NOT	2025-05-23 23:18:45	0.9464	35	2
OP	2025-05-23 23:22:04	0.9485	30	1
APE	2025-05-23 23:21:36	0.944	30	1
BOME	2025-05-23 23:24:27	0.9435	-100	1
RENDER	2025-05-23 23:26:43	0.9433	-100	1
SEI	2025-05-23 23:27:56	0.9356	35	2
AVAX	2025-05-23 23:20:40	0.9366	30	1
VET	2025-05-23 23:22:26	0.9341	30	1
FIL	2025-05-23 23:20:05	0.934	30	1

📌 Time Data

Start at	Closed at	Duration
26 Mar 2025 14:05:23	26 Mar 2025 14:10:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.8013	0.8083	0.7909	1.49	0.4561

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 0.8013
Stop Loss: 0.8083
Take Profit: 0.7909

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.8083 - 0.8013 = 0.007
Récompense (distance jusqu'au take profit):

E - TP = 0.8013 - 0.7909 = 0.0104
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0104 / 0.007 = 1.4857

📌 Position Size

Amount	Margin	Quantity	Leverage
921.0702	921.0702	1149.4699	9.21

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 0.007

Taille de position = 8 / 0.007 = 1142.86

Taille de position USD = 1142.86 x 0.8013 = 915.77

Donc, tu peux acheter 1142.86 avec un stoploss a 0.8083

Avec un position size USD de 915.77$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1142.86 x 0.007 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1142.86 x 0.0104 = 11.89

Si Take Profit atteint, tu gagneras 11.89$

Résumé

Taille de position 1142.86
Taille de position USD 915.77
Perte potentielle 8
Gain potentiel 11.89
Risk-Reward Ratio 1.4857

📌 Peformances

TP % Target	TP $ Target
1.3 %	11.95 $

SL % Target	SL $ Target
0.87 %	8.05 $

PNL	PNL %
-8.05 $	-0.87

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

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.7909
            [entry_price] => 0.8013
            [stop_loss] => 0.809
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-26 14:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.7909
            [entry_price] => 0.8013
            [stop_loss] => 0.8097
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-26 14:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.7909
            [entry_price] => 0.8013
            [stop_loss] => 0.8104
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-26 14:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.7909
            [entry_price] => 0.8013
            [stop_loss] => 0.8118
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-26 14:10:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.0043
            [max_drawdown] => 0.032
            [rr_ratio] => -0.13
            [high] => 0.83330000
            [low] => 0.80560000
            [mfe_pct] => -0.54
            [mae_pct] => 3.99
            [mfe_mae_ratio] => -0.13
            [candles_analyzed] => 24
            [start_at] => 2025-03-26T14:05:23-04:00
            [end_at] => 2025-03-26T16:05:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.032
            [rr_ratio] => 0.91
            [high] => 0.83330000
            [low] => 0.77230000
            [mfe_pct] => 3.62
            [mae_pct] => 3.99
            [mfe_mae_ratio] => 0.91
            [candles_analyzed] => 72
            [start_at] => 2025-03-26T14:05:23-04:00
            [end_at] => 2025-03-26T20:05:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.85230000
            [high_after] => 0.83330000
            [low_before] => 0.76760000
            [low_after] => 0.77230000
            [is_new_high] => 
            [is_new_low] => 
        )

)