Trade

sell - RENDER

Status
win
2025-03-29 09:29:58
40 minutes
PNL
0.99
Entry: 3.652
Last: 3.61590000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.0160458
Details
  1. score: 1.21
  2. long_trend_details: ema9 - 3.62843
  3. long_trend_details: ema21 - 3.67088
  4. long_trend_details: ema50 - 3.75606
  5. long_trend_details: ema9_ema21_diff - -1.15632
  6. long_trend_details: ema21_ema50_diff - -2.26782
  7. long_trend_details: ema9_ema50_diff - -3.39792
  8. long_trend_details: price_ema21_diff - -0.51439
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - False
  11. ¸

Short Trade on RENDER

The 29 Mar 2025 at 09:29:58

With 1214 RENDER at 3.652$ per unit.

Take profit at 3.616 (0.99 %) and Stop Loss at 3.676 (0.66 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -1.43 %

Symbol Start at Seach Score Trade Score Trades Count
RENDER 2025-04-26 11:52:15 0.9353 -10 3
TRUMP 2025-03-29 09:29:58 0.9384 100 1
LINK 2025-03-29 09:26:05 0.9292 100 2
LTC 2025-03-29 09:27:23 0.9226 100 3
BNB 2025-05-01 20:38:39 0.9215 -100 3
REZ 2025-04-18 02:21:07 0.902 -100 1
PAXG 2025-04-03 10:22:22 0.902 -100 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
09:29:58
29 Mar 2025
10:10:00
40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.652 3.676 3.616 1.5 3.893
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 3.652
  • Stop Loss: 3.676
  • Take Profit: 3.616

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.676 - 3.652 = 0.024

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.652 - 3.616 = 0.036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.036 / 0.024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1214 1214 332.4 12.14
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 0.024

Taille de position = 8 / 0.024 = 333.33

Taille de position USD = 333.33 x 3.652 = 1217.32

Donc, tu peux acheter 333.33 avec un stoploss a 3.676

Avec un position size USD de 1217.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 333.33 x 0.024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 333.33 x 0.036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 333.33
  • Taille de position USD 1217.32
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.99 % 12 $
SL % Target SL $ Target
0.66 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.99 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.604
            [stop_loss] => 3.676
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 10:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.592
            [stop_loss] => 3.676
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 10:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.58
            [stop_loss] => 3.676
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 11:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.568
            [stop_loss] => 3.676
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 11:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.556
            [stop_loss] => 3.676
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 12:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.544
            [stop_loss] => 3.676
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 12:55:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.532
            [stop_loss] => 3.676
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 13:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)