Web3Way

Trade

sell - ONDO

Status
win
2025-05-29 18:00:50
39 minutes
PNL
0.56
Entry: 0.9153
Last: 0.91020000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.1278
Prediction 1 Accuracy
Weak Trade
0.64
Prediction 2 Accuracy
0 0.49
ML Trade Score: 100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.002252969301
Details
  1. score: 1.05
  2. 1H: ema9 - 0.915174
  3. 1H: ema21 - 0.922637
  4. 1H: ema50 - 0.930629
  5. 1H: ema100 - 0.93321
  6. 1H: price_ema9_diff - 0.000136708
  7. 1H: ema9_ema21_diff - -0.00808883
  8. 1H: ema21_ema50_diff - -0.00858718
  9. 1H: price_ema100_diff - -0.0191921
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.429806
  13. 1H: kc_percentage - 0.340958
  14. 1H: kc_width_percentage - 0.0471978
    15. ¸
  15. 15m: ema9 - 0.910388
  16. 15m: ema21 - 0.91122
  17. 15m: ema50 - 0.917353
  18. 15m: ema100 - 0.922137
  19. 15m: price_ema9_diff - 0.00539442
  20. 15m: ema9_ema21_diff - -0.000912263
  21. 15m: ema21_ema50_diff - -0.00668538
  22. 15m: price_ema100_diff - -0.00741535
  23. 15m: all_emas_in_trend - True
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.544544
  26. 15m: kc_percentage - 0.727185
  27. 15m: kc_width_percentage - 0.0205298
    28. ¸
  28. 5m: ema9 - 0.912464
  29. 5m: ema21 - 0.910518
  30. 5m: ema50 - 0.909983
  31. 5m: ema100 - 0.911843
  32. 5m: price_ema9_diff - 0.00310763
  33. 5m: ema9_ema21_diff - 0.00213737
  34. 5m: ema21_ema50_diff - 0.000588214
  35. 5m: price_ema100_diff - 0.00379062
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.643584
  39. 5m: kc_percentage - 1.053
  40. 5m: kc_width_percentage - 0.00924791
    41. ¸

Short Trade on ONDO

The 29 May 2025 at 18:00:50

With 2167 ONDO at 0.9153$ per unit.

Take profit at 0.9102 (0.56 %) and Stop Loss at 0.9187 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -5.19 %

Symbol Start at Seach Score Trade Score Trades Count
BRETT 2025-05-29 17:59:39 0.9788 -56.67 3
AI16Z 2025-05-29 18:04:54 0.9789 -35 2
ARC 2025-05-29 17:58:30 0.9792 -35 2
JUP 2025-05-29 18:00:38 0.98 30 1
POPCAT 2025-05-29 18:01:35 0.9788 50 1
GOAT 2025-05-29 18:02:05 0.9776 -100 1
LINK 2025-05-29 17:58:39 0.9775 30 1
HBAR 2025-05-29 17:59:50 0.9769 40 1
ADA 2025-05-29 17:58:31 0.9747 30 1

📌 Time Data

Start at Closed at Duration
29 May 2025
18:00:50		 29 May 2025
18:40:00		 39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9153 0.9187 0.9102 1.5 0.8372
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 0.9153
  • Stop Loss: 0.9187
  • Take Profit: 0.9102

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9187 - 0.9153 = 0.0034

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9153 - 0.9102 = 0.0051

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0051 / 0.0034 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2167 100 2367 21.67
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 0.0034

Taille de position = 8 / 0.0034 = 2352.94

Taille de position USD = 2352.94 x 0.9153 = 2153.65

Donc, tu peux acheter 2352.94 avec un stoploss a 0.9187

Avec un position size USD de 2153.65$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2352.94 x 0.0034 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2352.94 x 0.0051 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2352.94
  • Taille de position USD 2153.65
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.56 % 12 $
SL % Target SL $ Target
0.37 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.56 -0.16388069485414

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.9085
            [stop_loss] => 0.9187
            [rr_ratio] => 2
            [closed_at] => 2025-05-29 18:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.9068
            [stop_loss] => 0.9187
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-29 18:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.9051
            [stop_loss] => 0.9187
            [rr_ratio] => 3
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.9034
            [stop_loss] => 0.9187
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.9017
            [stop_loss] => 0.9187
            [rr_ratio] => 4
            [closed_at] => 2025-05-29 19:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.9
            [stop_loss] => 0.9187
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8983
            [stop_loss] => 0.9187
            [rr_ratio] => 5
            [closed_at] => 2025-05-29 19:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)