Short Trade on NEAR

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Short Trade on NEAR 09 Apr 2025 at 00:40:40

Take profit at 1.874 (1.68 %) and Stop Loss at 1.9274 (1.12 %)

Short Trade on NEAR

The 09 Apr 2025 at 00:40:40

With 374.5888 NEAR at 1.906$ per unit.

Position size of 713.9662 $

Take profit at 1.874 (1.68 %) and Stop Loss at 1.9274 (1.12 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.63

Prediction Score:

Prediction 1	Probability
Strong Trade	n/a

Prediction 2	Probability
	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: 0.01423783604

Details

score: 1.01
1H
ema9 : 1.90134
ema21 : 1.9571
ema50 : 2.05122
price_ema9_diff : 0.00237731
ema9_ema21_diff : -0.0284892
ema21_ema50_diff : -0.0458872
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.390602
kc_percentage : 0.260775
kc_width_percentage : 0.103136
15m
ema9 : 1.87487
ema21 : 1.87882
ema50 : 1.91609
price_ema9_diff : 0.0165655
ema9_ema21_diff : -0.00210288
ema21_ema50_diff : -0.0194479
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.559131
kc_percentage : 0.772871
kc_width_percentage : 0.053844
5m
ema9 : 1.88704
ema21 : 1.87669
ema50 : 1.87635
price_ema9_diff : 0.0101009
ema9_ema21_diff : 0.00551523
ema21_ema50_diff : 0.000182057
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.652903
kc_percentage : 1.00551
kc_width_percentage : 0.0300452

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 00:40:40	09 Apr 2025 00:45:00	4 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.906	1.9274	1.874	1.5	1.1251

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 1.906
Stop Loss: 1.9274
Take Profit: 1.874

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.9274 - 1.906 = 0.0214
Récompense (distance jusqu'au take profit):

E - TP = 1.906 - 1.874 = 0.032
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.032 / 0.0214 = 1.4953

📌 Position Size

Amount	Margin	Quantity	Leverage
713.9662	100	374.5888	7.14

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 0.0214

Taille de position = 8 / 0.0214 = 373.83

Taille de position USD = 373.83 x 1.906 = 712.52

Donc, tu peux acheter 373.83 avec un stoploss a 1.9274

Avec un position size USD de 712.52$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 373.83 x 0.0214 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 373.83 x 0.032 = 11.96

Si Take Profit atteint, tu gagneras 11.96$

Résumé

Taille de position 373.83
Taille de position USD 712.52
Perte potentielle 8
Gain potentiel 11.96
Risk-Reward Ratio 1.4953

📌 Peformances

TP % Target	TP $ Target
1.68 %	11.99 $

SL % Target	SL $ Target
1.12 %	8.02 $

PNL	PNL %
-7.87 $	-1.10

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.5215110178384 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.874
            [entry_price] => 1.906
            [stop_loss] => 1.9291
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.874
            [entry_price] => 1.906
            [stop_loss] => 1.9312
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.874
            [entry_price] => 1.906
            [stop_loss] => 1.9333
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.874
            [entry_price] => 1.906
            [stop_loss] => 1.9375
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 00:45:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.011
            [max_drawdown] => 0.029
            [rr_ratio] => 0.38
            [high] => 1.93500000
            [low] => 1.89500000
            [mfe_pct] => 0.58
            [mae_pct] => 1.52
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T00:40:40-04:00
            [end_at] => 2025-04-09T02:40:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.016
            [max_drawdown] => 0.029
            [rr_ratio] => 0.55
            [high] => 1.93500000
            [low] => 1.89000000
            [mfe_pct] => 0.84
            [mae_pct] => 1.52
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T00:40:40-04:00
            [end_at] => 2025-04-09T06:40:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.91600000
            [high_after] => 1.93500000
            [low_before] => 1.82000000
            [low_after] => 1.89000000
            [is_new_high] => 
            [is_new_low] => 
        )

)