Trade

sell - BB

Status
win
2025-03-27 10:44:59
40 minutes
PNL
1.06
Entry: 0.1514
Last: 0.14980000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 70
ML Pullback Score: 6

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.00073896100988271
Details
  1. score: 1.01

Short Trade on BB

The 27 Mar 2025 at 10:44:59

With 7217.3406 BB at 0.1514$ per unit.

Position size of 1092.9219 $

Take profit at 0.1498 (1.06 %) and Stop Loss at 0.1525 (0.73 %)

That's a 1.45 RR Trade

📌 Similar Trades

Similar Trade Score: -32 %

Symbol Start at Seach Score Trade Score Trades Count
HBAR 2025-03-27 10:44:59 0.9292 -100 1
HFT 2025-07-04 06:14:29 0.8986 30 1
AI16Z 2025-07-05 16:10:07 0.8824 -100 2
NXPC 2025-06-15 10:53:02 0.8819 30 2
TAO 2025-03-26 16:15:06 0.8647 50 2
USELESS 2025-07-21 21:45:36 0.8714 -100 1
UNI 2025-06-15 09:04:30 0.8608 -100 2
ETHFI 2025-06-20 16:16:33 0.861 30 1
BB 2025-06-20 16:18:29 0.859 40 1
B 2025-06-10 05:12:52 0.8572 -100 1

📌 Time Data

Start at Closed at Duration
27 Mar 2025
10:44:59
27 Mar 2025
11:25:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1514 0.1525 0.1498 1.45 0.1162
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 0.1514
  • Stop Loss: 0.1525
  • Take Profit: 0.1498

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1525 - 0.1514 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1514 - 0.1498 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1092.9219 1092.9219 7217.3406 10.93
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.1514 = 1101.09

Donc, tu peux acheter 7272.73 avec un stoploss a 0.1525

Avec un position size USD de 1101.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1101.09
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
1.06 % 11.55 $
SL % Target SL $ Target
0.73 % 7.94 $
PNL PNL %
11.55 $ 1.06
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1492
            [stop_loss] => 0.1525
            [rr_ratio] => 2
            [closed_at] => 2025-03-27 11:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14865
            [stop_loss] => 0.1525
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-27 11:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1481
            [stop_loss] => 0.1525
            [rr_ratio] => 3
            [closed_at] => 2025-03-27 12:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.14755
            [stop_loss] => 0.1525
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-27 13:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00316
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.15130000
            [low] => 0.14824000
            [mfe_pct] => 2.09
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-03-27T10:44:59-04:00
            [end_at] => 2025-03-27T12:44:59-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00386
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.15130000
            [low] => 0.14754000
            [mfe_pct] => 2.55
            [mae_pct] => -0.07
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-03-27T10:44:59-04:00
            [end_at] => 2025-03-27T16:44:59-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.15241000
            [high_after] => 0.15130000
            [low_before] => 0.14698000
            [low_after] => 0.14754000
            [is_new_high] => 
            [is_new_low] => 
        )

)