Long Trade on XRP

The 10 Apr 2025 at 03:35:14

With 612.8888 XRP at 1.9735$ per unit.

Position size of 1209.536 $

Take profit at 1.9931 (0.99 %) and Stop Loss at 1.9604 (0.66 %)

That's a 1.5 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 100

ML Pullback Score: 8

Prediction Score:

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 - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.12
atr: 0.008701959366

Details

score: 2.12
1H
ema9 - 1.99841
ema21 - 1.97034
ema50 - 1.9294
price_ema9_diff - -0.0126431
ema9_ema21_diff - 0.0142433
ema21_ema50_diff - 0.0212203
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.53104
kc_percentage - 0.502953
kc_width_percentage - 0.0823373
15m
ema9 - 1.99528
ema21 - 2.00153
ema50 - 1.99472
price_ema9_diff - -0.0108835
ema9_ema21_diff - -0.00312349
ema21_ema50_diff - 0.0034157
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.380691
kc_percentage - 0.0489252
kc_width_percentage - 0.0310457
5m
ema9 - 1.99133
ema21 - 1.99622
ema50 - 2.00073
price_ema9_diff - -0.00893366
ema9_ema21_diff - -0.00244832
ema21_ema50_diff - -0.00225576
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.329662
kc_percentage - -0.123758
kc_width_percentage - 0.0182827

📌 Time Data

Start at	Closed at	Duration
10 Apr 2025 03:35:14	10 Apr 2025 03:45:00	9 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
1.9735	1.9604	1.9931	1.5	1.9939

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 1.9735
Stop Loss: 1.9604
Take Profit: 1.9931

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 1.9604 - 1.9735 = -0.0131
Récompense (distance jusqu'au take profit):

E - TP = 1.9735 - 1.9931 = -0.0196
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0196 / -0.0131 = 1.4962

📌 Position Size

Amount	Margin	Quantity	Leverage
1209.536	100	612.8888	12.10

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 -0.0131

Taille de position = 8 / -0.0131 = -610.69

Taille de position USD = -610.69 x 1.9735 = -1205.2

Donc, tu peux acheter -610.69 avec un stoploss a 1.9604

Avec un position size USD de -1205.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -610.69 x -0.0131 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -610.69 x -0.0196 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

Taille de position -610.69
Taille de position USD -1205.2
Perte potentielle 8
Gain potentiel 11.97
Risk-Reward Ratio 1.4962

📌 Peformances

TP % Target	TP $ Target
0.99 %	12.01 $

SL % Target	SL $ Target
0.66 %	8.03 $

PNL	PNL %
12.26 $	1.01

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

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 1.999
            [stop_loss] => 1.96
            [rr_ratio] => 2
            [closed_at] => 2025-04-10 04:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.0055
            [stop_loss] => 1.96
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-10 05:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.012
            [stop_loss] => 1.96
            [rr_ratio] => 3
            [closed_at] => 2025-04-10 06:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.0185
            [stop_loss] => 1.96
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.025
            [stop_loss] => 1.96
            [rr_ratio] => 4
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.0315
            [stop_loss] => 1.96
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.038
            [stop_loss] => 1.96
            [rr_ratio] => 5
            [closed_at] => 2025-04-10 08:25:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0372
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.01070000
            [low] => 1.98090000
            [mfe_pct] => 1.88
            [mae_pct] => -0.37
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-04-10T03:35:14-04:00
            [end_at] => 2025-04-10T05:35:14-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.071
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.04450000
            [low] => 1.97850000
            [mfe_pct] => 3.6
            [mae_pct] => -0.25
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-04-10T03:35:14-04:00
            [end_at] => 2025-04-10T09:35:14-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.01710000
            [high_after] => 2.04450000
            [low_before] => 1.97310000
            [low_after] => 1.97850000
            [is_new_high] => 1
            [is_new_low] => 
        )

)