Long Trade on ADA

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Long Trade on ADA 12 Apr 2025 at 13:30:15

Take profit at 0.6532 (0.77 %) and Stop Loss at 0.6448 (0.52 %)

Long Trade on ADA

The 12 Apr 2025 at 13:30:15

With 2378.9032 ADA at 0.6482$ per unit.

Position size of 1542.0051 $

Take profit at 0.6532 (0.77 %) and Stop Loss at 0.6448 (0.52 %)

That's a 1.47 RR Trade

Results

Status:

win

Trade Type:

buy

ML Trade Score: 90

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: 0.16
atr: 0.002241929503

Details

score: 2.16
1H
ema9 : 0.647176
ema21 : 0.638613
ema50 : 0.62817
price_ema9_diff : 0.00160231
ema9_ema21_diff : 0.0134084
ema21_ema50_diff : 0.0166245
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.620259
kc_percentage : 0.762295
kc_width_percentage : 0.0532705
15m
ema9 : 0.652878
ema21 : 0.651582
ema50 : 0.64399
price_ema9_diff : -0.00718013
ema9_ema21_diff : 0.00198909
ema21_ema50_diff : 0.0117895
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.473703
kc_percentage : 0.293667
kc_width_percentage : 0.0272709
5m
ema9 : 0.650764
ema21 : 0.65376
ema50 : 0.65333
price_ema9_diff : -0.00392212
ema9_ema21_diff : -0.00458276
ema21_ema50_diff : 0.000658171
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.328343
kc_percentage : -0.156885
kc_width_percentage : 0.0127167

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
12 Apr 2025 13:30:15	12 Apr 2025 14:30:00	59 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.6482	0.6448	0.6532	1.47	0.2851

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 0.6482
Stop Loss: 0.6448
Take Profit: 0.6532

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.6448 - 0.6482 = -0.0034
Récompense (distance jusqu'au take profit):

E - TP = 0.6482 - 0.6532 = -0.005
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.005 / -0.0034 = 1.4706

📌 Position Size

Amount	Margin	Quantity	Leverage
1542.0051	100	2378.9032	15.42

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 -0.0034

Taille de position = 8 / -0.0034 = -2352.94

Taille de position USD = -2352.94 x 0.6482 = -1525.18

Donc, tu peux acheter -2352.94 avec un stoploss a 0.6448

Avec un position size USD de -1525.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2352.94 x -0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2352.94 x -0.005 = 11.76

Si Take Profit atteint, tu gagneras 11.76$

Résumé

Taille de position -2352.94
Taille de position USD -1525.18
Perte potentielle 8
Gain potentiel 11.76
Risk-Reward Ratio 1.4706

📌 Peformances

TP % Target	TP $ Target
0.77 %	11.89 $

SL % Target	SL $ Target
0.52 %	8.09 $

PNL	PNL %
11.89 $	0.77

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.21598272138228 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
    [2] => Array
        (
            [take_profit] => 0.655
            [stop_loss] => 0.6448
            [rr_ratio] => 2
            [closed_at] => 2025-04-12 14:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.6567
            [stop_loss] => 0.6448
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-12 16:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.6584
            [stop_loss] => 0.6448
            [rr_ratio] => 3
            [closed_at] => 2025-04-12 16:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.6601
            [stop_loss] => 0.6448
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-12 16:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.6618
            [stop_loss] => 0.6448
            [rr_ratio] => 4
            [closed_at] => 2025-04-12 16:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.6635
            [stop_loss] => 0.6448
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-12 19:00:00
            [result] => win
        )

)

Extra SL data


                              Array
(
)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0081
            [max_drawdown] => 0.0014
            [rr_ratio] => 5.79
            [high] => 0.65630000
            [low] => 0.64680000
            [mfe_pct] => 1.25
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 5.79
            [candles_analyzed] => 24
            [start_at] => 2025-04-12T13:30:15-04:00
            [end_at] => 2025-04-12T15:30:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0167
            [max_drawdown] => 0.0014
            [rr_ratio] => 11.93
            [high] => 0.66490000
            [low] => 0.64680000
            [mfe_pct] => 2.58
            [mae_pct] => 0.22
            [mfe_mae_ratio] => 11.93
            [candles_analyzed] => 72
            [start_at] => 2025-04-12T13:30:15-04:00
            [end_at] => 2025-04-12T19:30:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.66700000
            [high_after] => 0.66490000
            [low_before] => 0.64120000
            [low_after] => 0.64680000
            [is_new_high] => 
            [is_new_low] => 
        )

)