Trade

sell - NEAR

Status

loss

2025-03-28 23:44:46

15 minutes

PNL

-0.44

Entry: 2.751

Last: 2.76300000

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: 6.85

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.21
atr: 0.0080019128605639

Details

score: 1.21

Short Trade on NEAR

The 28 Mar 2025 at 23:44:46

With 666.5073 NEAR at 2.751$ per unit.

Position size of 1833.5616 $

Take profit at 2.733 (0.65 %) and Stop Loss at 2.763 (0.44 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.83 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
ARK	2025-04-07 09:51:58	0.9455	-100	1
HYPE	2025-04-03 17:02:23	0.9115	-100	1
ENA	2025-06-12 13:45:40	0.9044	40	1
RSR	2025-07-23 23:31:28	0.9018	100	1
TRX	2025-05-06 15:00:23	0.9009	70	1
AVAX	2025-05-05 17:54:52	0.9003	-100	1
SAND	2025-07-23 23:44:13	0.8985	100	1
RESOLV	2025-07-24 09:46:55	0.8985	-100	1
HBAR	2025-06-14 23:28:57	0.8977	30	1
BRETT	2025-06-05 03:27:54	0.8977	30	1
KAIA	2025-07-23 23:33:36	0.897	140	1
PI	2025-06-05 23:25:08	0.8964	-100	1

📌 Time Data

Start at	Closed at	Duration
28 Mar 2025 23:44:46	29 Mar 2025 00:00:00	15 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.751	2.763	2.733	1.5	2.766

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 2.751
Stop Loss: 2.763
Take Profit: 2.733

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.763 - 2.751 = 0.012
Récompense (distance jusqu'au take profit):

E - TP = 2.751 - 2.733 = 0.018
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.018 / 0.012 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
1833.5616	1833.5616	666.5073	18.34

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 0.012

Taille de position = 8 / 0.012 = 666.67

Taille de position USD = 666.67 x 2.751 = 1834.01

Donc, tu peux acheter 666.67 avec un stoploss a 2.763

Avec un position size USD de 1834.01$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 666.67 x 0.012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 666.67 x 0.018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 666.67
Taille de position USD 1834.01
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.65 %	12 $

SL % Target	SL $ Target
0.44 %	8 $

PNL	PNL %
-8 $	-0.44

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] => 2.733
            [entry_price] => 2.751
            [stop_loss] => 2.7642
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 00:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.733
            [entry_price] => 2.751
            [stop_loss] => 2.7654
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 00:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.733
            [entry_price] => 2.751
            [stop_loss] => 2.7666
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 00:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.733
            [entry_price] => 2.751
            [stop_loss] => 2.769
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 00:05:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.037
            [max_drawdown] => 0.019
            [rr_ratio] => 1.95
            [high] => 2.77000000
            [low] => 2.71400000
            [mfe_pct] => 1.34
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 1.95
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T23:44:46-04:00
            [end_at] => 2025-03-29T01:44:46-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.123
            [max_drawdown] => 0.019
            [rr_ratio] => 6.47
            [high] => 2.77000000
            [low] => 2.62800000
            [mfe_pct] => 4.47
            [mae_pct] => 0.69
            [mfe_mae_ratio] => 6.47
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T23:44:46-04:00
            [end_at] => 2025-03-29T05:44:46-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.75200000
            [high_after] => 2.77000000
            [low_before] => 2.70300000
            [low_after] => 2.62800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)