Long Trade on BTC

Previous Trade Next Trade

Long Trade on BTC 13 Apr 2025 at 00:40:03

Take profit at 85068.7534 (0.44 %) and Stop Loss at 84452.9977 (0.29 %)

Long Trade on BTC

The 13 Apr 2025 at 00:40:03

With 0.03248 BTC at 84699.3$ per unit.

Position size of 2751.0683 $

Take profit at 85068.7534 (0.44 %) and Stop Loss at 84452.9977 (0.29 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.65

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: 0.07
atr: 164.2015207

Details

score: 2.07
1H
ema9 : 85097.4
ema21 : 84697.1
ema50 : 83563.6
price_ema9_diff : -0.00470108
ema9_ema21_diff : 0.004726
ema21_ema50_diff : 0.013565
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.535887
kc_percentage : 0.484656
kc_width_percentage : 0.0285936
15m
ema9 : 85109.5
ema21 : 85196.5
ema50 : 85036.4
price_ema9_diff : -0.00481556
ema9_ema21_diff : -0.00102114
ema21_ema50_diff : 0.00188346
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.390157
kc_percentage : 0.124146
kc_width_percentage : 0.0155741
5m
ema9 : 84917.3
ema21 : 85076
ema50 : 85187.9
price_ema9_diff : -0.00256283
ema9_ema21_diff : -0.00186599
ema21_ema50_diff : -0.00131319
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.318133
kc_percentage : -0.0693639
kc_width_percentage : 0.007654

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
13 Apr 2025 00:40:03	13 Apr 2025 01:10:00	29 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
84699.3	84452.9977	85068.7534	1.5	65922.2

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 84699.3
Stop Loss: 84452.9977
Take Profit: 85068.7534

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 84452.9977 - 84699.3 = -246.3023
Récompense (distance jusqu'au take profit):

E - TP = 84699.3 - 85068.7534 = -369.4534
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -369.4534 / -246.3023 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
2751.0683	100	0.03248	27.51

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 -246.3023

Taille de position = 8 / -246.3023 = -0.03

Taille de position USD = -0.03 x 84699.3 = -2540.98

Donc, tu peux acheter -0.03 avec un stoploss a 84452.9977

Avec un position size USD de -2540.98$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.03 x -246.3023 = 7.39

Si Stop Loss atteint, tu perdras 7.39$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.03 x -369.4534 = 11.08

Si Take Profit atteint, tu gagneras 11.08$

Résumé

Taille de position -0.03
Taille de position USD -2540.98
Perte potentielle 7.39
Gain potentiel 11.08
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.44 %	12 $

SL % Target	SL $ Target
0.29 %	8 $

PNL	PNL %
-8.12 $	-0.30

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.31747343565525 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 85070
            [entry_price] => 84700
            [stop_loss] => 84425
            [rr_ratio] => 1.35
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-13 01:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 85070
            [entry_price] => 84700
            [stop_loss] => 84400
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-13 01:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 85070
            [entry_price] => 84700
            [stop_loss] => 84375
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-13 01:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 85070
            [entry_price] => 84700
            [stop_loss] => 84325
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-13 04:00:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 155.8
            [max_drawdown] => 343.7
            [rr_ratio] => 0.45
            [high] => 84855.10000000
            [low] => 84355.60000000
            [mfe_pct] => 0.18
            [mae_pct] => 0.41
            [mfe_mae_ratio] => 0.45
            [candles_analyzed] => 24
            [start_at] => 2025-04-13T00:40:03-04:00
            [end_at] => 2025-04-13T02:40:03-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 218.7
            [max_drawdown] => 448.8
            [rr_ratio] => 0.49
            [high] => 84918.00000000
            [low] => 84250.50000000
            [mfe_pct] => 0.26
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 0.49
            [candles_analyzed] => 72
            [start_at] => 2025-04-13T00:40:03-04:00
            [end_at] => 2025-04-13T06:40:03-04:00
        )

    [breakout] => Array
        (
            [high_before] => 86100.00000000
            [high_after] => 84918.00000000
            [low_before] => 84595.50000000
            [low_after] => 84250.50000000
            [is_new_high] => 
            [is_new_low] => 
        )

)