Short Trade on NEAR

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Short Trade on NEAR 03 May 2025 at 15:18:42

Take profit at 2.4394 (0.8 %) and Stop Loss at 2.472 (0.53 %)

Short Trade on NEAR

The 03 May 2025 at 15:18:42

With 613.6513 NEAR at 2.459$ per unit.

Position size of 1508.9685 $

Take profit at 2.4394 (0.8 %) and Stop Loss at 2.472 (0.53 %)

That's a 1.51 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -60

ML Pullback Score: 4.37

Prediction Score: 0

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.19
atr: 0.008691146495

Details

score: 1.19
1H
ema9 : 2.4516
ema21 : 2.47035
ema50 : 2.49801
price_ema9_diff : 0.00299219
ema9_ema21_diff : -0.00759046
ema21_ema50_diff : -0.0110705
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.445173
kc_percentage : 0.416215
kc_width_percentage : 0.0479225
15m
ema9 : 2.43932
ema21 : 2.44362
ema50 : 2.45763
price_ema9_diff : 0.00805336
ema9_ema21_diff : -0.00176188
ema21_ema50_diff : -0.00569893
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.555062
kc_percentage : 0.759514
kc_width_percentage : 0.0248901
5m
ema9 : 2.43908
ema21 : 2.43459
ema50 : 2.4387
price_ema9_diff : 0.00818151
ema9_ema21_diff : 0.00184268
ema21_ema50_diff : -0.00168376
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.657611
kc_percentage : 1.19048
kc_width_percentage : 0.0143302

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
03 May 2025 15:18:42	03 May 2025 15:35:00	16 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.459	2.472	2.4394	1.51	1.3941

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 2.459
Stop Loss: 2.472
Take Profit: 2.4394

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.472 - 2.459 = 0.013
Récompense (distance jusqu'au take profit):

E - TP = 2.459 - 2.4394 = 0.0196
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0196 / 0.013 = 1.5077

📌 Position Size

Amount	Margin	Quantity	Leverage
1508.9685	100	613.6513	15.09

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 0.013

Taille de position = 8 / 0.013 = 615.38

Taille de position USD = 615.38 x 2.459 = 1513.22

Donc, tu peux acheter 615.38 avec un stoploss a 2.472

Avec un position size USD de 1513.22$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 615.38 x 0.013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 615.38 x 0.0196 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

Taille de position 615.38
Taille de position USD 1513.22
Perte potentielle 8
Gain potentiel 12.06
Risk-Reward Ratio 1.5077

📌 Peformances

TP % Target	TP $ Target
0.8 %	12.03 $

SL % Target	SL $ Target
0.53 %	7.98 $

PNL	PNL %
-7.98 $	-0.53

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.5286701911346 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.439
            [entry_price] => 2.459
            [stop_loss] => 2.4733
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-03 17:00:00
            [result] => win
        )

    [1.2] => Array
        (
            [take_profit] => 2.439
            [entry_price] => 2.459
            [stop_loss] => 2.4746
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-03 17:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 2.439
            [entry_price] => 2.459
            [stop_loss] => 2.4759
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-03 17:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.439
            [entry_price] => 2.459
            [stop_loss] => 2.4785
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-03 17:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.029
            [max_drawdown] => 0.013
            [rr_ratio] => 2.23
            [high] => 2.47200000
            [low] => 2.43000000
            [mfe_pct] => 1.18
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 2.23
            [candles_analyzed] => 24
            [start_at] => 2025-05-03T15:18:42-04:00
            [end_at] => 2025-05-03T17:18:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.056
            [max_drawdown] => 0.013
            [rr_ratio] => 4.31
            [high] => 2.47200000
            [low] => 2.40300000
            [mfe_pct] => 2.28
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 4.31
            [candles_analyzed] => 72
            [start_at] => 2025-05-03T15:18:42-04:00
            [end_at] => 2025-05-03T21:18:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.47900000
            [high_after] => 2.47200000
            [low_before] => 2.39700000
            [low_after] => 2.40300000
            [is_new_high] => 
            [is_new_low] => 
        )

)