Trade

sell - BB

Status
loss
2025-03-28 19:19:38
1 hour
PNL
-0.44
Entry: 0.1373
Last: 0.13790000

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: 4.38

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.00045114191633693
Details
  1. score: 1.1

Short Trade on BB

The 28 Mar 2025 at 19:19:38

With 11821.8528 BB at 0.1373$ per unit.

Position size of 1622.6675 $

Take profit at 0.1362 (0.8 %) and Stop Loss at 0.1379 (0.44 %)

That's a 1.83 RR Trade

📌 Similar Trades

Similar Trade Score: -26.33 %

Symbol Start at Seach Score Trade Score Trades Count
JUP 2025-06-04 22:39:40 0.9143 40 1
ARK 2025-04-07 05:05:41 0.9058 -43.33 3
PEPE 2025-06-04 22:39:15 0.9057 30 1
RENDER 2025-06-26 15:37:29 0.9006 -100 1
CROSS 2025-07-12 09:03:00 0.9002 30 1
ZK 2025-08-25 10:22:12 0.9 50 1
LDO 2025-06-26 15:39:39 0.8974 -100 2
HBAR 2025-08-25 10:19:09 0.8985 30 1
AAVE 2025-06-26 15:46:07 0.8972 -100 2
ENA 2025-06-26 15:21:15 0.8962 -100 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
19:19:38
28 Mar 2025
20:45:00
1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1373 0.1379 0.1362 1.83 0.1307
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 0.1373
  • Stop Loss: 0.1379
  • Take Profit: 0.1362

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1379 - 0.1373 = 0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1373 - 0.1362 = 0.0011

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0011 / 0.00059999999999999 = 1.8333

📌 Position Size

Amount Margin Quantity Leverage
1622.6675 1622.6675 11821.8528 16.23
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 0.00059999999999999

Taille de position = 8 / 0.00059999999999999 = 13333.33

Taille de position USD = 13333.33 x 0.1373 = 1830.67

Donc, tu peux acheter 13333.33 avec un stoploss a 0.1379

Avec un position size USD de 1830.67$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 13333.33 x 0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 13333.33 x 0.0011 = 14.67

Si Take Profit atteint, tu gagneras 14.67$

Résumé

  • Taille de position 13333.33
  • Taille de position USD 1830.67
  • Perte potentielle 8
  • Gain potentiel 14.67
  • Risk-Reward Ratio 1.8333

📌 Peformances

TP % Target TP $ Target
0.8 % 13 $
SL % Target SL $ Target
0.44 % 7.09 $
PNL PNL %
-7.09 $ -0.44
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1362
            [entry_price] => 0.1373
            [stop_loss] => 0.13796
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 20:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1362
            [entry_price] => 0.1373
            [stop_loss] => 0.13802
            [rr_ratio] => 1.53
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 20:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1362
            [entry_price] => 0.1373
            [stop_loss] => 0.13808
            [rr_ratio] => 1.41
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 20:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1362
            [entry_price] => 0.1373
            [stop_loss] => 0.1382
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 20:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00065000000000001
            [max_drawdown] => 0.00176
            [rr_ratio] => 0.37
            [high] => 0.13906000
            [low] => 0.13665000
            [mfe_pct] => 0.47
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 0.37
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T19:19:38-04:00
            [end_at] => 2025-03-28T21:19:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0061
            [max_drawdown] => 0.00176
            [rr_ratio] => 3.47
            [high] => 0.13906000
            [low] => 0.13120000
            [mfe_pct] => 4.44
            [mae_pct] => 1.28
            [mfe_mae_ratio] => 3.47
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T19:19:38-04:00
            [end_at] => 2025-03-29T01:19:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13745000
            [high_after] => 0.13906000
            [low_before] => 0.13341000
            [low_after] => 0.13120000
            [is_new_high] => 
            [is_new_low] => 1
        )

)