Trade

sell - WIF

Status
win
2025-03-29 20:10:23
14 minutes
PNL
0.69
Entry: 0.4327
Last: 0.42970000

Results

Status:
win
Trade Type:
sell
Prediction Score:
Prediction 1 Accuracy
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.00133275
Details
  1. score: 1.12
  2. long_trend_details: ema9 - 0.429626
  3. long_trend_details: ema21 - 0.437668
  4. long_trend_details: ema50 - 0.460617
  5. long_trend_details: ema9_ema21_diff - -1.83752
  6. long_trend_details: ema21_ema50_diff - -4.98206
  7. long_trend_details: ema9_ema50_diff - -6.72804
  8. long_trend_details: price_ema21_diff - -1.13531
  9. long_trend_details: all_emas_in_trend - True
  10. long_trend_details: all_emas_and_price_in_trend - False
  11. ¸

Short Trade on WIF

The 29 Mar 2025 at 20:10:23

With 1732 WIF at 0.4327$ per unit.

Take profit at 0.4297 (0.69 %) and Stop Loss at 0.4347 (0.46 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 16.67 %

Symbol Start at Seach Score Trade Score Trades Count
1000BONK 2025-03-29 20:10:23 0.9698 60 1
LINK 2025-03-29 20:10:23 0.9641 60 1
MOVE 2025-03-29 20:10:23 0.9618 90 1
ORDI 2025-05-31 02:27:09 0.9584 30 3
AI16Z 2025-03-29 20:10:23 0.9556 50 1
UNI 2025-03-29 20:16:16 0.9525 -10 2
ADA 2025-06-04 22:37:12 0.9523 -100 1
BGB 2025-03-28 14:14:56 0.9514 60 3
DOGE 2025-03-29 20:08:47 0.9497 -90 1

📌 Time Data

Start at Closed at Duration
29 Mar 2025
20:10:23
29 Mar 2025
20:25:00
14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4327 0.4347 0.4297 1.5 0.8472
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 0.4327
  • Stop Loss: 0.4347
  • Take Profit: 0.4297

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4347 - 0.4327 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4327 - 0.4297 = 0.0029999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029999999999999 / 0.002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1732 1732 4002 17.32
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.4327 = 1730.8

Donc, tu peux acheter 4000 avec un stoploss a 0.4347

Avec un position size USD de 1730.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 4000
  • Taille de position USD 1730.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.69 % 12 $
SL % Target SL $ Target
0.46 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.69 -0.23110700254218

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4287
            [stop_loss] => 0.4347
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.4277
            [stop_loss] => 0.4347
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.4267
            [stop_loss] => 0.4347
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.4257
            [stop_loss] => 0.4347
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4247
            [stop_loss] => 0.4347
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.4237
            [stop_loss] => 0.4347
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4227
            [stop_loss] => 0.4347
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 21:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)