Long Trade on ALGO

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Long Trade on ALGO 15 Apr 2025 at 02:10:41

Take profit at 0.1947 (1.04 %) and Stop Loss at 0.1914 (0.67 %)

Long Trade on ALGO

The 15 Apr 2025 at 02:10:41

With 6066.4953 ALGO at 0.1927$ per unit.

Position size of 1169.0136 $

Take profit at 0.1947 (1.04 %) and Stop Loss at 0.1914 (0.67 %)

That's a 1.54 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.09

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: 0.05
atr: 0.0008791457105

Details

score: 2.05
1H
ema9 : 0.193805
ema21 : 0.19226
ema50 : 0.189818
price_ema9_diff : -0.00575023
ema9_ema21_diff : 0.00803643
ema21_ema50_diff : 0.0128626
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.521691
kc_percentage : 0.52196
kc_width_percentage : 0.0767907
15m
ema9 : 0.194598
ema21 : 0.194232
ema50 : 0.193017
price_ema9_diff : -0.0097727
ema9_ema21_diff : 0.00188326
ema21_ema50_diff : 0.00629451
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.457049
kc_percentage : 0.266577
kc_width_percentage : 0.0353212
5m
ema9 : 0.193685
ema21 : 0.194606
ema50 : 0.194542
price_ema9_diff : -0.00506224
ema9_ema21_diff : -0.0047365
ema21_ema50_diff : 0.000329189
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.367867
kc_percentage : -0.0482502
kc_width_percentage : 0.0176547

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
15 Apr 2025 02:10:41	15 Apr 2025 02:25:00	14 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1927	0.1914	0.1947	1.54	0.0879

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 0.1927
Stop Loss: 0.1914
Take Profit: 0.1947

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1914 - 0.1927 = -0.0013
Récompense (distance jusqu'au take profit):

E - TP = 0.1927 - 0.1947 = -0.002
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.002 / -0.0013 = 1.5385

📌 Position Size

Amount	Margin	Quantity	Leverage
1169.0136	100	6066.4953	11.69

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 -0.0013

Taille de position = 8 / -0.0013 = -6153.85

Taille de position USD = -6153.85 x 0.1927 = -1185.85

Donc, tu peux acheter -6153.85 avec un stoploss a 0.1914

Avec un position size USD de -1185.85$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6153.85 x -0.0013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6153.85 x -0.002 = 12.31

Si Take Profit atteint, tu gagneras 12.31$

Résumé

Taille de position -6153.85
Taille de position USD -1185.85
Perte potentielle 8
Gain potentiel 12.31
Risk-Reward Ratio 1.5385

📌 Peformances

TP % Target	TP $ Target
1.04 %	12.13 $

SL % Target	SL $ Target
0.67 %	7.89 $

PNL	PNL %
-7.89 $	-0.67

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.72651790347691 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1947
            [entry_price] => 0.1927
            [stop_loss] => 0.19127
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-15 04:10:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1947
            [entry_price] => 0.1927
            [stop_loss] => 0.19114
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-15 04:10:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1947
            [entry_price] => 0.1927
            [stop_loss] => 0.19101
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-15 04:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1947
            [entry_price] => 0.1927
            [stop_loss] => 0.19075
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-15 04:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.0019
            [rr_ratio] => 1
            [high] => 0.19460000
            [low] => 0.19080000
            [mfe_pct] => 0.99
            [mae_pct] => 0.99
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 24
            [start_at] => 2025-04-15T02:10:41-04:00
            [end_at] => 2025-04-15T04:10:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0019
            [max_drawdown] => 0.0039
            [rr_ratio] => 0.49
            [high] => 0.19460000
            [low] => 0.18880000
            [mfe_pct] => 0.99
            [mae_pct] => 2.02
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 72
            [start_at] => 2025-04-15T02:10:41-04:00
            [end_at] => 2025-04-15T08:10:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.19880000
            [high_after] => 0.19460000
            [low_before] => 0.19070000
            [low_after] => 0.18880000
            [is_new_high] => 
            [is_new_low] => 
        )

)