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Trade

sell - KAS

Status
win
2025-03-29 20:10:23
14 minutes
PNL
0.78
Entry: 0.06445
Last: 0.06400000

Results

Status:
win
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: 0.21
  4. atr: 0.000182549
Details
  1. score: 1.21
  2. long_trend_details
  3. ema9 - 0.0638239
  4. ema21 - 0.0649035
  5. ema50 - 0.0678019
  6. ema9_ema21_diff - -1.66352
  7. ema21_ema50_diff - -4.27472
  8. ema9_ema50_diff - -5.86714
  9. price_ema21_diff - -0.698877
  10. all_emas_in_trend - True
  11. all_emas_and_price_in_trend - False
    12. ¸

Short Trade on KAS

The 29 Mar 2025 at 20:10:23

With 29220 KAS at 0.06445$ per unit.

Position size of 1883 $

Take profit at 0.06404 (0.64 %) and Stop Loss at 0.06472 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 10 %

Symbol Start at Seach Score Trade Score Trades Count
WIF 2025-03-29 20:10:23 0.9419 40 1
LINK 2025-03-29 20:09:35 0.9156 60 2
DOGE 2025-03-29 20:08:47 0.916 -90 1
AI16Z 2025-03-29 20:10:23 0.9073 50 1
ZRO 2025-06-04 22:40:43 0.902 40 1
ORDI 2025-05-31 02:27:09 0.9011 30 3
MOVE 2025-03-29 20:10:23 0.9001 90 1
ENA 2025-05-31 02:37:00 0.8987 -100 1
UNI 2025-03-29 20:08:47 0.8975 -80 1
1000BONK 2025-03-29 20:10:23 0.8967 60 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
0.06445 0.06472 0.06404 1.5 0.07566
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 0.06445
  • Stop Loss: 0.06472
  • Take Profit: 0.06404

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.06472 - 0.06445 = 0.00027000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.06445 - 0.06404 = 0.00040999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00040999999999999 / 0.00027000000000001 = 1.5185

📌 Position Size

Amount Margin Quantity Leverage
1883 1883 29220 18.83
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 0.00027000000000001

Taille de position = 8 / 0.00027000000000001 = 29629.63

Taille de position USD = 29629.63 x 0.06445 = 1909.63

Donc, tu peux acheter 29629.63 avec un stoploss a 0.06472

Avec un position size USD de 1909.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 29629.63 x 0.00027000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 29629.63 x 0.00040999999999999 = 12.15

Si Take Profit atteint, tu gagneras 12.15$

Résumé

  • Taille de position 29629.63
  • Taille de position USD 1909.63
  • Perte potentielle 8
  • Gain potentiel 12.15
  • Risk-Reward Ratio 1.5185

📌 Peformances

TP % Target TP $ Target
0.64 % 12 $
SL % Target SL $ Target
0.42 % 7.9 $
PNL PNL %
15 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.24806201550387 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.06391
            [stop_loss] => 0.06472
            [rr_ratio] => 2
            [closed_at] => 2025-03-29 20:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.063775
            [stop_loss] => 0.06472
            [rr_ratio] => 2.5
            [closed_at] => 2025-03-29 20:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.06364
            [stop_loss] => 0.06472
            [rr_ratio] => 3
            [closed_at] => 2025-03-29 20:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.063505
            [stop_loss] => 0.06472
            [rr_ratio] => 3.5
            [closed_at] => 2025-03-29 20:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.06337
            [stop_loss] => 0.06472
            [rr_ratio] => 4
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.063235
            [stop_loss] => 0.06472
            [rr_ratio] => 4.5
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0631
            [stop_loss] => 0.06472
            [rr_ratio] => 5
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.062965
            [stop_loss] => 0.06472
            [rr_ratio] => 5.5
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.06283
            [stop_loss] => 0.06472
            [rr_ratio] => 6
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.062695
            [stop_loss] => 0.06472
            [rr_ratio] => 6.5
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.06256
            [stop_loss] => 0.06472
            [rr_ratio] => 7
            [closed_at] => 2025-03-29 21:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)