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Trade

sell - BROCCOLI

Status
loss
2025-03-29 06:53:42
11 minutes
PNL
-2.36
Entry: 0.0508
Last: 0.05200000

Results

Status:
loss
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: -70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000820894
Details
  1. score: 1.01
  2. long_trend_details: ema9 - 0.0486749
  3. long_trend_details: ema21 - 0.0518053
  4. long_trend_details: ema50 - 0.0548885
  5. long_trend_details: ema9_ema21_diff - -6.04273
  6. long_trend_details: ema21_ema50_diff - -5.61718
  7. long_trend_details: ema9_ema50_diff - -11.3204
  8. long_trend_details: price_ema21_diff - -1.94069
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - False
    11. ¸

Short Trade on BROCCOLI

The 29 Mar 2025 at 06:53:42

With 330 BROCCOLI at 0.0508$ per unit.

Take profit at 0.04895 (3.6 %) and Stop Loss at 0.05203 (2.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -1.11 %

Symbol Start at Seach Score Trade Score Trades Count
AIOT 2025-06-01 05:04:51 0.9697 40 2
MUBARAK 2025-03-29 06:58:46 0.9679 60 2
WLD 2025-05-31 03:06:10 0.9679 -100 1
UNI 2025-05-31 03:34:58 0.9672 30 1
TAO 2025-04-06 21:51:30 0.9655 100 1
1000BONK 2025-05-31 03:36:12 0.9653 30 1
REZ 2025-05-31 02:32:00 0.9647 -100 2
BRETT 2025-05-31 03:53:36 0.965 30 1
AI16Z 2025-05-29 18:06:55 0.9641 -100 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
06:53:42		 29 Mar 2025
07:05:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0508 0.05203 0.04895 1.5 0.0265
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 0.0508
  • Stop Loss: 0.05203
  • Take Profit: 0.04895

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.05203 - 0.0508 = 0.00123

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0508 - 0.04895 = 0.00185

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00185 / 0.00123 = 1.5041

📌 Position Size

Amount Margin Quantity Leverage
330 330 6497 3.30
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 0.00123

Taille de position = 8 / 0.00123 = 6504.07

Taille de position USD = 6504.07 x 0.0508 = 330.41

Donc, tu peux acheter 6504.07 avec un stoploss a 0.05203

Avec un position size USD de 330.41$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6504.07 x 0.00123 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6504.07 x 0.00185 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position 6504.07
  • Taille de position USD 330.41
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5041

📌 Peformances

TP % Target TP $ Target
3.6 % 12 $
SL % Target SL $ Target
2.4 % 8 $
RR PNL PNL % Max Drawdown
1.5 -7.8 $ -2.36 -2.7755905511811

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.04895
            [entry_price] => 0.0508
            [stop_loss] => 0.052153
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-03-29 07:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.04895
            [entry_price] => 0.0508
            [stop_loss] => 0.052276
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-03-29 07:25:00
            [result] => win
        )

    [1.3] => Array
        (
            [take_profit] => 0.04895
            [entry_price] => 0.0508
            [stop_loss] => 0.052399
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-03-29 07:25:00
            [result] => win
        )

    [1.5] => Array
        (
            [take_profit] => 0.04895
            [entry_price] => 0.0508
            [stop_loss] => 0.052645
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-03-29 07:25:00
            [result] => win
        )

)