Short Trade on TRX

The 18 Apr 2025 at 20:40:48

With 19773.4047 TRX at 0.2409$ per unit.

Position size of 4763.8087 $

Take profit at 0.2403 (0.25 %) and Stop Loss at 0.2413 (0.17 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: 0.28

Prediction Score: -0.0162

Prediction 1	Probability
Weak 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: 0.05
atr: 0.0002697225601

Details

score: 1.05
1H
ema9 - 0.241096
ema21 - 0.242679
ema50 - 0.24506
price_ema9_diff - -0.000729099
ema9_ema21_diff - -0.00651932
ema21_ema50_diff - -0.00971622
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.36379
kc_percentage - 0.122863
kc_width_percentage - 0.0180945
15m
ema9 - 0.240334
ema21 - 0.240581
ema50 - 0.24164
price_ema9_diff - 0.00243316
ema9_ema21_diff - -0.00102808
ema21_ema50_diff - -0.00438067
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.520763
kc_percentage - 0.690835
kc_width_percentage - 0.00804224
5m
ema9 - 0.240547
ema21 - 0.240305
ema50 - 0.240405
price_ema9_diff - 0.00155013
ema9_ema21_diff - 0.00100894
ema21_ema50_diff - -0.000418528
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.717508
kc_percentage - 1.05371
kc_width_percentage - 0.00455515

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 20:40:48	18 Apr 2025 20:55:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2409	0.2413	0.2403	1.5	0.2816

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 0.2409
Stop Loss: 0.2413
Take Profit: 0.2403

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2413 - 0.2409 = 0.00039999999999998
Récompense (distance jusqu'au take profit):

E - TP = 0.2409 - 0.2403 = 0.00059999999999999
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00039999999999998 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
4763.8087	100	19773.4047	47.64

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 0.00039999999999998

Taille de position = 8 / 0.00039999999999998 = 20000

Taille de position USD = 20000 x 0.2409 = 4818

Donc, tu peux acheter 20000 avec un stoploss a 0.2413

Avec un position size USD de 4818$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00039999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position 20000
Taille de position USD 4818
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.25 %	11.86 $

SL % Target	SL $ Target
0.17 %	7.91 $

PNL	PNL %
-7.91 $	-0.17

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.24491490244915 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2403
            [entry_price] => 0.2409
            [stop_loss] => 0.24134
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 20:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2403
            [entry_price] => 0.2409
            [stop_loss] => 0.24138
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 20:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2403
            [entry_price] => 0.2409
            [stop_loss] => 0.24142
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 20:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2403
            [entry_price] => 0.2409
            [stop_loss] => 0.2415
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 21:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00028
            [max_drawdown] => 0.00141
            [rr_ratio] => 0.2
            [high] => 0.24231000
            [low] => 0.24062000
            [mfe_pct] => 0.12
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T20:40:48-04:00
            [end_at] => 2025-04-18T22:40:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00028
            [max_drawdown] => 0.00141
            [rr_ratio] => 0.2
            [high] => 0.24231000
            [low] => 0.24062000
            [mfe_pct] => 0.12
            [mae_pct] => 0.59
            [mfe_mae_ratio] => 0.2
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T20:40:48-04:00
            [end_at] => 2025-04-19T02:40:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24110000
            [high_after] => 0.24231000
            [low_before] => 0.23954000
            [low_after] => 0.24062000
            [is_new_high] => 
            [is_new_low] => 
        )

)