Short Trade on NEAR

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Short Trade on NEAR 04 May 2025 at 16:31:32

Take profit at 2.3266 (0.66 %) and Stop Loss at 2.3523 (0.44 %)

Short Trade on NEAR

The 04 May 2025 at 16:31:32

With 779.1227 NEAR at 2.342$ per unit.

Position size of 1824.7053 $

Take profit at 2.3266 (0.66 %) and Stop Loss at 2.3523 (0.44 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -70

ML Pullback Score: 6.61

Prediction Score: -2.6101

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: 0.01
atr: 0.006845306247

Details

score: 1.01
1H
ema9 : 2.34788
ema21 : 2.37793
ema50 : 2.42338
price_ema9_diff : -0.00247473
ema9_ema21_diff : -0.0126367
ema21_ema50_diff : -0.0187535
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.327086
kc_percentage : 0.18102
kc_width_percentage : 0.045194
15m
ema9 : 2.33145
ema21 : 2.33709
ema50 : 2.3594
price_ema9_diff : 0.00451018
ema9_ema21_diff : -0.00241061
ema21_ema50_diff : -0.00945535
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.500519
kc_percentage : 0.612171
kc_width_percentage : 0.0215789
5m
ema9 : 2.33169
ema21 : 2.32797
ema50 : 2.33219
price_ema9_diff : 0.0044284
ema9_ema21_diff : 0.00159629
ema21_ema50_diff : -0.00181061
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.646671
kc_percentage : 1.00962
kc_width_percentage : 0.0116731

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
04 May 2025 16:31:32	04 May 2025 17:35:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.342	2.3523	2.3266	1.5	1.1176

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 2.342
Stop Loss: 2.3523
Take Profit: 2.3266

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.3523 - 2.342 = 0.0103
Récompense (distance jusqu'au take profit):

E - TP = 2.342 - 2.3266 = 0.0154
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0154 / 0.0103 = 1.4951

📌 Position Size

Amount	Margin	Quantity	Leverage
1824.7053	100	779.1227	18.25

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 0.0103

Taille de position = 8 / 0.0103 = 776.7

Taille de position USD = 776.7 x 2.342 = 1819.03

Donc, tu peux acheter 776.7 avec un stoploss a 2.3523

Avec un position size USD de 1819.03$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 776.7 x 0.0103 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 776.7 x 0.0154 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 776.7
Taille de position USD 1819.03
Perte potentielle 8
Gain potentiel 11.96
Risk-Reward Ratio 1.4951

📌 Peformances

TP % Target	TP $ Target
0.66 %	12 $

SL % Target	SL $ Target
0.44 %	8.02 $

PNL	PNL %
-7.79 $	-0.43

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.46968403074296 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 2.327
            [entry_price] => 2.342
            [stop_loss] => 2.353
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-04 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.327
            [entry_price] => 2.342
            [stop_loss] => 2.354
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 2.327
            [entry_price] => 2.342
            [stop_loss] => 2.355
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 2.327
            [entry_price] => 2.342
            [stop_loss] => 2.357
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-04 18:00:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.038
            [max_drawdown] => 0.011
            [rr_ratio] => 3.45
            [high] => 2.35300000
            [low] => 2.30400000
            [mfe_pct] => 1.62
            [mae_pct] => 0.47
            [mfe_mae_ratio] => 3.45
            [candles_analyzed] => 24
            [start_at] => 2025-05-04T16:31:32-04:00
            [end_at] => 2025-05-04T18:31:32-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.04
            [max_drawdown] => 0.013
            [rr_ratio] => 3.08
            [high] => 2.35500000
            [low] => 2.30200000
            [mfe_pct] => 1.71
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 3.08
            [candles_analyzed] => 72
            [start_at] => 2025-05-04T16:31:32-04:00
            [end_at] => 2025-05-04T22:31:32-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.34500000
            [high_after] => 2.35500000
            [low_before] => 2.30800000
            [low_after] => 2.30200000
            [is_new_high] => 
            [is_new_low] => 1
        )

)