Trade

sell - RENDER

Status
loss
2025-03-28 18:30:51
14 minutes
PNL
-0.56
Entry: 3.725
Last: 3.74600000

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: 0.35

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.38
  4. atr: 0.014005825802236
Details
  1. score: 1.38

Short Trade on RENDER

The 28 Mar 2025 at 18:30:51

With 380.7939 RENDER at 3.725$ per unit.

Position size of 1418.4574 $

Take profit at 3.6935 (0.85 %) and Stop Loss at 3.746 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -62.22 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-03-28 18:27:57 0.9525 -100 4
LDO 2025-05-31 01:41:54 0.9507 -30 2
SOL 2025-06-01 11:24:20 0.9529 -100 1
ADA 2025-06-04 22:07:02 0.9485 -100 1
ADA 2025-06-01 10:43:50 0.9433 -100 1
A2Z 2025-08-15 01:33:26 0.9444 -100 1
ETHFI 2025-05-31 01:38:50 0.9431 40 1
ZEREBRO 2025-07-31 23:26:50 0.943 30 1
SUI 2025-07-04 18:02:02 0.943 -100 1

📌 Time Data

Start at Closed at Duration
28 Mar 2025
18:30:51
28 Mar 2025
18:45:00
14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.725 3.746 3.6935 1.5 3.676
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 3.725
  • Stop Loss: 3.746
  • Take Profit: 3.6935

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.746 - 3.725 = 0.021

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.725 - 3.6935 = 0.0315

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0315 / 0.021 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1418.4574 1418.4574 380.7939 14.18
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 0.021

Taille de position = 8 / 0.021 = 380.95

Taille de position USD = 380.95 x 3.725 = 1419.04

Donc, tu peux acheter 380.95 avec un stoploss a 3.746

Avec un position size USD de 1419.04$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 380.95 x 0.021 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 380.95 x 0.0315 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 380.95
  • Taille de position USD 1419.04
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.85 % 12 $
SL % Target SL $ Target
0.56 % 8 $
PNL PNL %
-8 $ -0.56
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] => 3.693
            [entry_price] => 3.725
            [stop_loss] => 3.7481
            [rr_ratio] => 1.39
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-28 18:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 3.693
            [entry_price] => 3.725
            [stop_loss] => 3.7502
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-28 18:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 3.693
            [entry_price] => 3.725
            [stop_loss] => 3.7523
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-28 18:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 3.693
            [entry_price] => 3.725
            [stop_loss] => 3.7565
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-28 18:55:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.008
            [max_drawdown] => 0.098
            [rr_ratio] => 0.08
            [high] => 3.82300000
            [low] => 3.71700000
            [mfe_pct] => 0.21
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.08
            [candles_analyzed] => 24
            [start_at] => 2025-03-28T18:30:51-04:00
            [end_at] => 2025-03-28T20:30:51-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.098
            [rr_ratio] => 0.48
            [high] => 3.82300000
            [low] => 3.67800000
            [mfe_pct] => 1.26
            [mae_pct] => 2.63
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 72
            [start_at] => 2025-03-28T18:30:51-04:00
            [end_at] => 2025-03-29T00:30:51-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.73800000
            [high_after] => 3.82300000
            [low_before] => 3.59000000
            [low_after] => 3.67800000
            [is_new_high] => 
            [is_new_low] => 
        )

)