Trade

sell - BTC

Status
win
2025-03-28 19:07:59
2 minutes
PNL
0.25
Entry: 84472.9
Last: 84259.71990000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Probability
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 5.6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 94.746717861888
Details
  1. score: 1.23

Short Trade on BTC

The 28 Mar 2025 at 19:07:59

With 0.05629 BTC at 84472.9$ per unit.

Position size of 4755.0157 $

Take profit at 84259.7199 (0.25 %) and Stop Loss at 84615.0201 (0.17 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 20 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-07-04 18:47:57 0.9743 35 2
DOGE 2025-07-04 18:47:34 0.9688 60 2
LINK 2025-07-04 18:47:00 0.967 40 2
CHILLGUY 2025-05-31 03:50:14 0.9674 45 2
CRV 2025-04-21 21:00:48 0.9669 -100 1
SHIB 2025-07-04 18:45:39 0.9655 30 1
AVAX 2025-07-04 18:55:01 0.9655 30 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
19:07:59
28 Mar 2025
19:10:00
2 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
84472.9 84615.0201 84259.7199 1.5 117879.7
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 84472.9
  • Stop Loss: 84615.0201
  • Take Profit: 84259.7199

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 84615.0201 - 84472.9 = 142.1201

  • Récompense (distance jusqu'au take profit):

    E - TP = 84472.9 - 84259.7199 = 213.1801

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 213.1801 / 142.1201 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
4755.0157 4755.0157 0.05629 47.55
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 142.1201

Taille de position = 8 / 142.1201 = 0.06

Taille de position USD = 0.06 x 84472.9 = 5068.37

Donc, tu peux acheter 0.06 avec un stoploss a 84615.0201

Avec un position size USD de 5068.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.06 x 142.1201 = 8.53

Si Stop Loss atteint, tu perdras 8.53$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.06 x 213.1801 = 12.79

Si Take Profit atteint, tu gagneras 12.79$

Résumé

  • Taille de position 0.06
  • Taille de position USD 5068.37
  • Perte potentielle 8.53
  • Gain potentiel 12.79
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.25 % 12 $
SL % Target SL $ Target
0.17 % 8 $
PNL PNL %
12 $ 0.25
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 84170
            [stop_loss] => 84620
            [rr_ratio] => 2
            [closed_at] => 2025-03-28 19:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 84095
            [stop_loss] => 84620
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 84020
            [stop_loss] => 84620
            [rr_ratio] => 3
            [closed_at] => 2025-03-28 22:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 83945
            [stop_loss] => 84620
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 83870
            [stop_loss] => 84620
            [rr_ratio] => 4
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 83795
            [stop_loss] => 84620
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-28 22:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 83720
            [stop_loss] => 84620
            [rr_ratio] => 5
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 83691.23945
            [stop_loss] => 84615.0201
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-28 23:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 310.29999999999
            [max_drawdown] => 112.5
            [rr_ratio] => 2.76
            [high] => 84585.40000000
            [low] => 84162.60000000
            [mfe_pct] => 0.37
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 2.76
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T19:07:59-04:00
            [end_at] => 2025-03-28T21:07:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 784.89999999999
            [max_drawdown] => 112.5
            [rr_ratio] => 6.98
            [high] => 84585.40000000
            [low] => 83688.00000000
            [mfe_pct] => 0.93
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 6.98
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T19:07:59-04:00
            [end_at] => 2025-03-29T01:07:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 84499.50000000
            [high_after] => 84585.40000000
            [low_before] => 83600.00000000
            [low_after] => 83688.00000000
            [is_new_high] => 
            [is_new_low] => 
        )

)