Web3Way Logo

Trade

sell - KAS

Status
loss
2025-05-20 11:55:40
4 minutes
PNL
-0.92
Entry: 0.1086
Last: 0.10960000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.61
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 1.02

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.0006616771427
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.10879
  4. ema21 - 0.108943
  5. ema50 - 0.109398
  6. ema100 - 0.111368
  7. price_ema9_diff - -0.00165669
  8. ema9_ema21_diff - -0.0014069
  9. ema21_ema50_diff - -0.00415459
  10. price_ema100_diff - -0.0247733
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.490702
  14. kc_percentage - 0.467428
  15. kc_width_percentage - 0.0964136
    16. ¸
  16. 15m
  17. ema9 - 0.107085
  18. ema21 - 0.107878
  19. ema50 - 0.108781
  20. ema100 - 0.108763
  21. price_ema9_diff - 0.0142376
  22. ema9_ema21_diff - -0.00735082
  23. ema21_ema50_diff - -0.00830155
  24. price_ema100_diff - -0.0014141
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.522621
  28. kc_percentage - 0.654068
  29. kc_width_percentage - 0.0477462
    30. ¸
  30. 5m
  31. ema9 - 0.107727
  32. ema21 - 0.107196
  33. ema50 - 0.107656
  34. ema100 - 0.108645
  35. price_ema9_diff - 0.00818781
  36. ema9_ema21_diff - 0.00495506
  37. ema21_ema50_diff - -0.00426727
  38. price_ema100_diff - -0.000322336
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.629144
  42. kc_percentage - 1.02085
  43. kc_width_percentage - 0.0247287
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 104877
  47. 5m_price_ema100_diff: 0.00396328
  48. 5m_price: 105293
  49. 5m_correlation_with_coin: 0.379256
  50. btc_indicators
  51. 15m_ema100: 104962
  52. 15m_price_ema100_diff: 0.00315456
  53. 15m_price: 105293
  54. btc_indicators
  55. 1H_ema100: 104297
  56. 1H_price_ema100_diff: 0.00955027
  57. 1H_price: 105293
    58. ¸

Short Trade on KAS

The 20 May 2025 at 11:55:40

With 8060.3258 KAS at 0.1086$ per unit.

Position size of 875.432 $

Take profit at 0.1071 (1.38 %) and Stop Loss at 0.1096 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 26.67 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-05-18 17:32:45 0.8717 40 1
DOT 2025-05-18 17:31:59 0.8615 50 1
RAY 2025-07-31 12:35:51 0.8532 40 1
STX 2025-06-06 09:46:37 0.8466 30 1
SEI 2025-05-18 17:25:32 0.8444 40 1
ADA 2025-05-18 17:31:36 0.8438 40 1
MYRO 2025-04-09 13:25:58 0.8392 -100 2
FET 2025-06-06 16:44:46 0.8396 30 1
XRP 2025-07-31 12:31:34 0.8275 40 1
WIF 2025-07-31 12:35:15 0.8244 30 1
ENS 2025-05-18 17:38:35 0.8206 30 2
LINK 2025-05-18 17:31:47 0.8211 50 1

📌 Time Data

Start at Closed at Duration
20 May 2025
11:55:40		 20 May 2025
12:00:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1086 0.1096 0.1071 1.5 0.08922
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 0.1086
  • Stop Loss: 0.1096
  • Take Profit: 0.1071

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1096 - 0.1086 = 0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1086 - 0.1071 = 0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0015 / 0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
875.432 100 8060.3258 8.75
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 0.001

Taille de position = 8 / 0.001 = 8000

Taille de position USD = 8000 x 0.1086 = 868.8

Donc, tu peux acheter 8000 avec un stoploss a 0.1096

Avec un position size USD de 868.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 8000 x 0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 8000 x 0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 8000
  • Taille de position USD 868.8
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.38 % 12.09 $
SL % Target SL $ Target
0.92 % 8.06 $
PNL PNL %
-8.06 $ -0.92
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.98526703499079 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1071
            [entry_price] => 0.1086
            [stop_loss] => 0.1097
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-20 13:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1071
            [entry_price] => 0.1086
            [stop_loss] => 0.1098
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-20 13:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1071
            [entry_price] => 0.1086
            [stop_loss] => 0.1099
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-20 13:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1071
            [entry_price] => 0.1086
            [stop_loss] => 0.1101
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-20 13:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00129
            [max_drawdown] => 0.00225
            [rr_ratio] => 0.57
            [high] => 0.11085000
            [low] => 0.10731000
            [mfe_pct] => 1.19
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-05-20T11:55:40-04:00
            [end_at] => 2025-05-20T13:55:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00212
            [max_drawdown] => 0.00225
            [rr_ratio] => 0.94
            [high] => 0.11085000
            [low] => 0.10648000
            [mfe_pct] => 1.95
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.94
            [candles_analyzed] => 72
            [start_at] => 2025-05-20T11:55:40-04:00
            [end_at] => 2025-05-20T17:55:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.11296000
            [high_after] => 0.11085000
            [low_before] => 0.10380000
            [low_after] => 0.10648000
            [is_new_high] => 
            [is_new_low] => 
        )

)