Trade

sell - BTC

Status

loss

2025-03-31 06:53:51

1 hour

PNL

-0.25

Entry: 82106.6

Last: 82312.68200000

Results

Status:

loss

Trade Type:

sell

Prediction Score:

Prediction 1	Probability
	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

ML Trade Score: -100

ML Pullback Score: 0.37

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.18
atr: 137.388

Details

score: 1.18
long_trend_details
ema9 - 81854.7
ema21 - 82134.3
ema50 - 82751.4
ema9_ema21_diff - -0.340403
ema21_ema50_diff - -0.745757
ema9_ema50_diff - -1.08362
price_ema21_diff - -0.033815
all_emas_in_trend - True
all_emas_and_price_in_trend - False

Short Trade on BTC

The 31 Mar 2025 at 06:53:51

With 0.03882 BTC at 82106.6$ per unit.

Position size of 3187.3371 $

Take profit at 81797.477 (0.38 %) and Stop Loss at 82312.682 (0.25 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -40.45 %

Symbol	Start at	Seach Score	Trade Score	Trades Count
BROCCOLIF3B	2025-05-01 11:20:25	0.8617	30	1
LINK	2025-03-31 06:53:51	0.8611	-60	1
DOGE	2025-03-31 06:53:51	0.8606	30	1
SKATE	2025-06-15 00:49:48	0.8555	-100	3
1000BONK	2025-05-26 22:34:17	0.8514	-35	2
AVAX	2025-03-31 06:53:51	0.854	-100	1
ADA	2025-03-31 06:53:51	0.8528	40	1
PAXG	2025-07-03 18:59:52	0.8514	-100	1
CRV	2025-03-31 06:53:51	0.8482	50	1
CHILLGUY	2025-05-26 22:32:16	0.8476	-100	1
TRX	2025-04-25 08:00:27	0.8466	-100	1

📌 Time Data

Start at	Closed at	Duration
31 Mar 2025 06:53:51	31 Mar 2025 08:40:00	1 hour

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
82106.6	82312.682	81797.477	1.5	117300.2

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 82106.6
Stop Loss: 82312.682
Take Profit: 81797.477

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 82312.682 - 82106.6 = 206.08199999999
Récompense (distance jusqu'au take profit):

E - TP = 82106.6 - 81797.477 = 309.12300000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 309.12300000001 / 206.08199999999 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
3187.3371	3187.3371	0.03882	31.87

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 206.08199999999

Taille de position = 8 / 206.08199999999 = 0.04

Taille de position USD = 0.04 x 82106.6 = 3284.26

Donc, tu peux acheter 0.04 avec un stoploss a 82312.682

Avec un position size USD de 3284.26$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.04 x 206.08199999999 = 8.24

Si Stop Loss atteint, tu perdras 8.24$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.04 x 309.12300000001 = 12.36

Si Take Profit atteint, tu gagneras 12.36$

Résumé

Taille de position 0.04
Taille de position USD 3284.26
Perte potentielle 8.24
Gain potentiel 12.36
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
0.38 %	12 $

SL % Target	SL $ Target
0.25 %	8 $

PNL	PNL %
-8 $	-0.25

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.47535764481782 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 81800
            [entry_price] => 82110
            [stop_loss] => 82330
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 81800
            [entry_price] => 82110
            [stop_loss] => 82350
            [rr_ratio] => 1.29
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 81800
            [entry_price] => 82110
            [stop_loss] => 82370
            [rr_ratio] => 1.19
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 81800
            [entry_price] => 82110
            [stop_loss] => 82410
            [rr_ratio] => 1.03
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-31 08:40:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 250.20000000001
            [max_drawdown] => 1013.4
            [rr_ratio] => 0.25
            [high] => 83120.00000000
            [low] => 81856.40000000
            [mfe_pct] => 0.3
            [mae_pct] => 1.23
            [mfe_mae_ratio] => 0.25
            [candles_analyzed] => 24
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T08:53:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 500.3
            [max_drawdown] => 1778.9
            [rr_ratio] => 0.28
            [high] => 83885.50000000
            [low] => 81606.30000000
            [mfe_pct] => 0.61
            [mae_pct] => 2.17
            [mfe_mae_ratio] => 0.28
            [candles_analyzed] => 72
            [start_at] => 2025-03-31T06:53:51-04:00
            [end_at] => 2025-03-31T12:53:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 82266.90000000
            [high_after] => 83885.50000000
            [low_before] => 81254.90000000
            [low_after] => 81606.30000000
            [is_new_high] => 
            [is_new_low] => 
        )

)