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Trade

sell - UNI

Status
win
2025-03-30 21:33:48
1 hour
PNL
0.96
Entry: 5.924
Last: 5.86710000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 50

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.0252788
Details
  1. score: 1.09
  2. long_trend_details
  3. ema9 - 5.88785
  4. ema21 - 5.92906
  5. ema50 - 6.03163
  6. ema9_ema21_diff - -0.695015
  7. ema21_ema50_diff - -1.70054
  8. ema9_ema50_diff - -2.38373
  9. price_ema21_diff - -0.0853965
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on UNI

The 30 Mar 2025 at 21:33:48

With 211 UNI at 5.924$ per unit.

Position size of 1250 $

Take profit at 5.867 (0.96 %) and Stop Loss at 5.962 (0.64 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14.5 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-03-30 21:33:48 0.9493 60 1
DOT 2025-03-30 21:33:48 0.9384 40 1
WIF 2025-04-29 10:07:06 0.8811 30 1
ONDO 2025-06-17 15:07:35 0.8722 -100 1
MOVE 2025-03-31 08:54:24 0.8707 100 1
BGB 2025-04-07 04:37:06 0.8612 -35 2
RESOLV 2025-06-20 14:09:56 0.861 -100 3
NEAR 2025-06-17 15:07:36 0.8551 -100 2
FIL 2025-05-03 15:55:12 0.854 -100 1
MBOX 2025-04-06 17:41:41 0.854 60 1

📌 Time Data

Start at Closed at Duration
30 Mar 2025
21:33:48		 30 Mar 2025
23:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.924 5.962 5.867 1.5 8.184
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 5.924
  • Stop Loss: 5.962
  • Take Profit: 5.867

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.962 - 5.924 = 0.037999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.924 - 5.867 = 0.057

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.057 / 0.037999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1250 1250 211 12.50
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 0.037999999999999

Taille de position = 8 / 0.037999999999999 = 210.53

Taille de position USD = 210.53 x 5.924 = 1247.18

Donc, tu peux acheter 210.53 avec un stoploss a 5.962

Avec un position size USD de 1247.18$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 210.53 x 0.037999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 210.53 x 0.057 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 210.53
  • Taille de position USD 1247.18
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.96 % 12 $
SL % Target SL $ Target
0.64 % 8 $
PNL PNL %
12 $ 0.96
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.21944632005402 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.848
            [stop_loss] => 5.962
            [rr_ratio] => 2
            [closed_at] => 2025-03-30 23:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.829
            [stop_loss] => 5.962
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-30 23:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.81
            [stop_loss] => 5.962
            [rr_ratio] => 3
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 5.791
            [stop_loss] => 5.962
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 5.772
            [stop_loss] => 5.962
            [rr_ratio] => 4
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 5.753
            [stop_loss] => 5.962
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 5.734
            [stop_loss] => 5.962
            [rr_ratio] => 5
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 5.715
            [stop_loss] => 5.962
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 5.696
            [stop_loss] => 5.962
            [rr_ratio] => 6
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 5.677
            [stop_loss] => 5.962
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 5.658
            [stop_loss] => 5.962
            [rr_ratio] => 7
            [closed_at] => 2025-03-31 02:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)