Long Trade on BTC

The 09 Apr 2025 at 23:11:38

With 0.03927 BTC at 81864.6$ per unit.

Position size of 3215.14 $

Take profit at 82170.1466 (0.37 %) and Stop Loss at 81660.9022 (0.25 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 0.85

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: 0.19
atr: 135.7985029

Details

score: 2.19
1H
ema9 - 81882.5
ema21 - 80577.5
ema50 - 79485
price_ema9_diff - -0.000222186
ema9_ema21_diff - 0.0161945
ema21_ema50_diff - 0.0137451
all_emas_in_trend - True
all_emas_and_price_in_trend - False
rsi - 0.623513
kc_percentage - 0.839125
kc_width_percentage - 0.0432263
15m
ema9 - 82247
ema21 - 82295.9
ema50 - 81380.9
price_ema9_diff - -0.00464679
ema9_ema21_diff - -0.000594869
ema21_ema50_diff - 0.0112438
all_emas_in_trend - False
all_emas_and_price_in_trend - False
rsi - 0.434744
kc_percentage - 0.104661
kc_width_percentage - 0.0137101
5m
ema9 - 82115
ema21 - 82238.8
ema50 - 82382.8
price_ema9_diff - -0.00304572
ema9_ema21_diff - -0.00150443
ema21_ema50_diff - -0.00174866
all_emas_in_trend - True
all_emas_and_price_in_trend - True
rsi - 0.300953
kc_percentage - -0.18913
kc_width_percentage - 0.00650434

📌 Time Data

Start at	Closed at	Duration
09 Apr 2025 23:11:38	09 Apr 2025 23:15:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
81864.6	81660.9022	82170.1466	1.5	89763.9

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 81864.6
Stop Loss: 81660.9022
Take Profit: 82170.1466

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 81660.9022 - 81864.6 = -203.69780000001
Récompense (distance jusqu'au take profit):

E - TP = 81864.6 - 82170.1466 = -305.54659999999
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -305.54659999999 / -203.69780000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3215.14	100	0.03927	32.15

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 -203.69780000001

Taille de position = 8 / -203.69780000001 = -0.04

Taille de position USD = -0.04 x 81864.6 = -3274.58

Donc, tu peux acheter -0.04 avec un stoploss a 81660.9022

Avec un position size USD de -3274.58$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -0.04 x -203.69780000001 = 8.15

Si Stop Loss atteint, tu perdras 8.15$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -0.04 x -305.54659999999 = 12.22

Si Take Profit atteint, tu gagneras 12.22$

Résumé

Taille de position -0.04
Taille de position USD -3274.58
Perte potentielle 8.15
Gain potentiel 12.22
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.37 %	12 $

SL % Target	SL $ Target
0.25 %	8 $

PNL	PNL %
-7.86 $	-0.24

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.30491082335696 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 82170
            [entry_price] => 81860
            [stop_loss] => 81640
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 23:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 82170
            [entry_price] => 81860
            [stop_loss] => 81620
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 23:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 82170
            [entry_price] => 81860
            [stop_loss] => 81600
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 23:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 82170
            [entry_price] => 81860
            [stop_loss] => 81560
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 23:15:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 224.7
            [max_drawdown] => 433.70000000001
            [rr_ratio] => 0.52
            [high] => 82089.30000000
            [low] => 81430.90000000
            [mfe_pct] => 0.27
            [mae_pct] => 0.53
            [mfe_mae_ratio] => 0.52
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T23:11:38-04:00
            [end_at] => 2025-04-10T01:11:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 439.2
            [max_drawdown] => 604.60000000001
            [rr_ratio] => 0.73
            [high] => 82303.80000000
            [low] => 81260.00000000
            [mfe_pct] => 0.54
            [mae_pct] => 0.74
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T23:11:38-04:00
            [end_at] => 2025-04-10T05:11:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 82980.10000000
            [high_after] => 82303.80000000
            [low_before] => 81680.00000000
            [low_after] => 81260.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)