Long Trade on DEEP

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Long Trade on DEEP 23 Apr 2025 at 11:23:57

Take profit at 0.1917 (4.98 %) and Stop Loss at 0.1765 (3.34 %)

Long Trade on DEEP

The 23 Apr 2025 at 11:23:57

With 1317.5823 DEEP at 0.1826$ per unit.

Position size of 240.5905 $

Take profit at 0.1917 (4.98 %) and Stop Loss at 0.1765 (3.34 %)

That's a 1.49 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.52

Prediction Score: 0

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: 0.08
atr: 0.00404781809

Details

score: 2.08
1H
ema9 : 0.191779
ema21 : 0.180664
ema50 : 0.151499
price_ema9_diff : -0.0508105
ema9_ema21_diff : 0.0615221
ema21_ema50_diff : 0.192508
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.554359
kc_percentage : 0.513056
kc_width_percentage : 0.302149
15m
ema9 : 0.191609
ema21 : 0.194617
ema50 : 0.191881
price_ema9_diff : -0.0462924
ema9_ema21_diff : -0.0154569
ema21_ema50_diff : 0.0142586
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.373278
kc_percentage : 0.0941883
kc_width_percentage : 0.160104
5m
ema9 : 0.189828
ema21 : 0.192462
ema50 : 0.194807
price_ema9_diff : -0.0375558
ema9_ema21_diff : -0.0136902
ema21_ema50_diff : -0.0120361
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.294912
kc_percentage : -0.0828581
kc_width_percentage : 0.091597

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
23 Apr 2025 11:23:57	23 Apr 2025 12:15:00	51 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.1826	0.1765	0.1917	1.49	0.02586

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 0.1826
Stop Loss: 0.1765
Take Profit: 0.1917

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.1765 - 0.1826 = -0.0061
Récompense (distance jusqu'au take profit):

E - TP = 0.1826 - 0.1917 = -0.0091
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0091 / -0.0061 = 1.4918

📌 Position Size

Amount	Margin	Quantity	Leverage
240.5905	100	1317.5823	2.41

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 -0.0061

Taille de position = 8 / -0.0061 = -1311.48

Taille de position USD = -1311.48 x 0.1826 = -239.48

Donc, tu peux acheter -1311.48 avec un stoploss a 0.1765

Avec un position size USD de -239.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1311.48 x -0.0061 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1311.48 x -0.0091 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

Taille de position -1311.48
Taille de position USD -239.48
Perte potentielle 8
Gain potentiel 11.93
Risk-Reward Ratio 1.4918

📌 Peformances

TP % Target	TP $ Target
4.98 %	11.99 $

SL % Target	SL $ Target
3.34 %	8.04 $

PNL	PNL %
-8.04 $	-3.34

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-5.0109529025192 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1917
            [entry_price] => 0.1826
            [stop_loss] => 0.17589
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-23 12:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1917
            [entry_price] => 0.1826
            [stop_loss] => 0.17528
            [rr_ratio] => 1.24
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-23 12:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1917
            [entry_price] => 0.1826
            [stop_loss] => 0.17467
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-23 12:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1917
            [entry_price] => 0.1826
            [stop_loss] => 0.17345
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-23 12:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00628
            [max_drawdown] => 0.01595
            [rr_ratio] => 0.39
            [high] => 0.18888000
            [low] => 0.16665000
            [mfe_pct] => 3.44
            [mae_pct] => 8.73
            [mfe_mae_ratio] => 0.39
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T11:23:57-04:00
            [end_at] => 2025-04-23T13:23:57-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00628
            [max_drawdown] => 0.01837
            [rr_ratio] => 0.34
            [high] => 0.18888000
            [low] => 0.16423000
            [mfe_pct] => 3.44
            [mae_pct] => 10.06
            [mfe_mae_ratio] => 0.34
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T11:23:57-04:00
            [end_at] => 2025-04-23T17:23:57-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.20327000
            [high_after] => 0.18888000
            [low_before] => 0.18200000
            [low_after] => 0.16423000
            [is_new_high] => 
            [is_new_low] => 
        )

)