Long Trade on XLM

The 17 Apr 2025 at 18:50:37

With 10907.3843 XLM at 0.2395$ per unit.

Position size of 2612.5367 $

Take profit at 0.2406 (0.46 %) and Stop Loss at 0.2388 (0.29 %)

That's a 1.57 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 3.72

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.01
atr: 0.0004889653844

Details

score: 2.01
1H
ema9 - 0.239816
ema21 - 0.23874
ema50 - 0.238102
price_ema9_diff - -0.00124175
ema9_ema21_diff - 0.00450617
ema21_ema50_diff - 0.00267956
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.533187
kc_percentage - 0.576399
kc_width_percentage - 0.038755
15m
ema9 - 0.240357
ema21 - 0.240222
ema50 - 0.239485
price_ema9_diff - -0.00348579
ema9_ema21_diff - 0.000560748
ema21_ema50_diff - 0.00307726
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.459424
kc_percentage - 0.31855
kc_width_percentage - 0.0166527
5m
ema9 - 0.240259
ema21 - 0.240482
ema50 - 0.240373
price_ema9_diff - -0.00307369
ema9_ema21_diff - -0.000930388
ema21_ema50_diff - 0.000456924
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.371021
kc_percentage - -0.014986
kc_width_percentage - 0.00777297

📌 Time Data

Start at	Closed at	Duration
17 Apr 2025 18:50:37	17 Apr 2025 20:20:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.2395	0.2388	0.2406	1.57	0.2315

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 0.2395
Stop Loss: 0.2388
Take Profit: 0.2406

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.2388 - 0.2395 = -0.00069999999999998
Récompense (distance jusqu'au take profit):

E - TP = 0.2395 - 0.2406 = -0.0011
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0011 / -0.00069999999999998 = 1.5714

📌 Position Size

Amount	Margin	Quantity	Leverage
2612.5367	100	10907.3843	26.13

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 -0.00069999999999998

Taille de position = 8 / -0.00069999999999998 = -11428.57

Taille de position USD = -11428.57 x 0.2395 = -2737.14

Donc, tu peux acheter -11428.57 avec un stoploss a 0.2388

Avec un position size USD de -2737.14$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11428.57 x -0.00069999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11428.57 x -0.0011 = 12.57

Si Take Profit atteint, tu gagneras 12.57$

Résumé

Taille de position -11428.57
Taille de position USD -2737.14
Perte potentielle 8
Gain potentiel 12.57
Risk-Reward Ratio 1.5714

📌 Peformances

TP % Target	TP $ Target
0.46 %	12 $

SL % Target	SL $ Target
0.29 %	7.64 $

PNL	PNL %
-7.64 $	-0.29

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.31315240083507 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2406
            [entry_price] => 0.2395
            [stop_loss] => 0.23873
            [rr_ratio] => 1.43
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-17 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2406
            [entry_price] => 0.2395
            [stop_loss] => 0.23866
            [rr_ratio] => 1.31
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-17 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2406
            [entry_price] => 0.2395
            [stop_loss] => 0.23859
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-17 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2406
            [entry_price] => 0.2395
            [stop_loss] => 0.23845
            [rr_ratio] => 1.05
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-17 20:50:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00108
            [max_drawdown] => 0.00111
            [rr_ratio] => 0.97
            [high] => 0.24058000
            [low] => 0.23839000
            [mfe_pct] => 0.45
            [mae_pct] => 0.46
            [mfe_mae_ratio] => 0.97
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T18:50:37-04:00
            [end_at] => 2025-04-17T20:50:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00257
            [max_drawdown] => 0.00164
            [rr_ratio] => 1.57
            [high] => 0.24207000
            [low] => 0.23786000
            [mfe_pct] => 1.07
            [mae_pct] => 0.68
            [mfe_mae_ratio] => 1.57
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T18:50:37-04:00
            [end_at] => 2025-04-18T00:50:37-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24188000
            [high_after] => 0.24207000
            [low_before] => 0.23734000
            [low_after] => 0.23786000
            [is_new_high] => 1
            [is_new_low] => 
        )

)