Web3Way

Trade

sell - KAS

Status
win
2025-05-25 15:50:43
19 minutes
PNL
0.57
Entry: 0.1047
Last: 0.10410000

Results

Status:
win
Trade Type:
sell
Prediction Score: -1.4886
Prediction 1 Accuracy
Strong Trade
0.54
Prediction 2 Accuracy
0 0.45
ML Trade Score: 30

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0002494122688
Details
  1. score: 1.05
  2. 1H: ema9 - 0.104249
  3. 1H: ema21 - 0.105284
  4. 1H: ema50 - 0.107584
  5. 1H: ema100 - 0.109992
  6. 1H: price_ema9_diff - 0.00412974
  7. 1H: ema9_ema21_diff - -0.00982727
  8. 1H: ema21_ema50_diff - -0.0213795
  9. 1H: price_ema100_diff - -0.048296
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.431074
  13. 1H: kc_percentage - 0.413077
  14. 1H: kc_width_percentage - 0.0563751
    15. ¸
  15. 15m: ema9 - 0.104144
  16. 15m: ema21 - 0.103944
  17. 15m: ema50 - 0.104361
  18. 15m: ema100 - 0.105399
  19. 15m: price_ema9_diff - 0.00514043
  20. 15m: ema9_ema21_diff - 0.00192729
  21. 15m: ema21_ema50_diff - -0.00399796
  22. 15m: price_ema100_diff - -0.006831
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.576355
  26. 15m: kc_percentage - 0.801033
  27. 15m: kc_width_percentage - 0.0232943
    28. ¸
  28. 5m: ema9 - 0.104455
  29. 5m: ema21 - 0.104176
  30. 5m: ema50 - 0.103916
  31. 5m: ema100 - 0.103812
  32. 5m: price_ema9_diff - 0.00215172
  33. 5m: ema9_ema21_diff - 0.0026718
  34. 5m: ema21_ema50_diff - 0.00250577
  35. 5m: price_ema100_diff - 0.00835795
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.673618
  39. 5m: kc_percentage - 1.05328
  40. 5m: kc_width_percentage - 0.00837678
    41. ¸

Short Trade on KAS

The 25 May 2025 at 15:50:43

With 2238 KAS at 0.1047$ per unit.

Take profit at 0.1041 (0.57 %) and Stop Loss at 0.1051 (0.38 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -42.83 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-05-25 15:56:40 0.9617 60 1
ONDO 2025-05-25 15:52:01 0.9495 -53.33 3
SAND 2025-05-25 15:57:02 0.9488 50 1
AVAX 2025-05-25 15:45:58 0.9448 -35 2
ARB 2025-05-25 15:57:56 0.9479 50 1
AI16Z 2025-05-25 15:52:04 0.9445 -100 1
TAO 2025-05-25 15:50:58 0.9441 -100 1
IO 2025-05-25 15:51:05 0.9411 -100 1
ENA 2025-05-25 15:50:51 0.9407 -100 1
GRASS 2025-05-25 15:51:40 0.9391 -100 1

📌 Time Data

Start at Closed at Duration
25 May 2025
15:50:43		 25 May 2025
16:10:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1047 0.1051 0.1041 1.5 0.08241
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 0.1047
  • Stop Loss: 0.1051
  • Take Profit: 0.1041

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1051 - 0.1047 = 0.0004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1047 - 0.1041 = 0.0006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0006 / 0.0004 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2238 100 21380 22.38
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 0.0004

Taille de position = 8 / 0.0004 = 20000

Taille de position USD = 20000 x 0.1047 = 2094

Donc, tu peux acheter 20000 avec un stoploss a 0.1051

Avec un position size USD de 2094$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.0004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.0006 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 2094
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.57 % 13 $
SL % Target SL $ Target
0.38 % 8.6 $
RR PNL PNL % Max Drawdown
1.5 13 $ 0.57 -0.33428844317097

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1039
            [stop_loss] => 0.1051
            [rr_ratio] => 2
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1037
            [stop_loss] => 0.1051
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1035
            [stop_loss] => 0.1051
            [rr_ratio] => 3
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1033
            [stop_loss] => 0.1051
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1031
            [stop_loss] => 0.1051
            [rr_ratio] => 4
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1029
            [stop_loss] => 0.1051
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1027
            [stop_loss] => 0.1051
            [rr_ratio] => 5
            [closed_at] => 2025-05-25 17:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)