Web3Way Logo

Trade

buy - ONDO

Status
win
2025-07-17 16:20:19
39 minutes
PNL
1.49
Entry: 1.005
Last: 1.02000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.7643
Prediction 1 Accuracy
Weak Trade
0.66
Prediction 2 Accuracy
0 0.66
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.006785757756
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 1.01291
  4. ema21 - 0.996627
  5. ema50 - 0.971663
  6. ema100 - 0.951376
  7. price_ema9_diff - -0.00801615
  8. ema9_ema21_diff - 0.0163471
  9. ema21_ema50_diff - 0.0256917
  10. price_ema100_diff - 0.0561533
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.55241
  14. kc_percentage - 0.570496
  15. kc_width_percentage - 0.0980217
  16. volume_ema_diff - 0.0295649
  17. volume_ema1 - 2887062.8378993
  18. volume_ema2 - 2804158.0783557
    19. ¸
  19. 15m
  20. ema9 - 1.01918
  21. ema21 - 1.0203
  22. ema50 - 1.00856
  23. ema100 - 0.993848
  24. price_ema9_diff - -0.0141116
  25. ema9_ema21_diff - -0.00109623
  26. ema21_ema50_diff - 0.011639
  27. price_ema100_diff - 0.0110189
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.427285
  31. kc_percentage - 0.183244
  32. kc_width_percentage - 0.0493648
  33. volume_ema_diff - -0.1661
  34. volume_ema1 - 788339.36245327
  35. volume_ema2 - 945365.2990121
    36. ¸
  36. 5m
  37. ema9 - 1.01228
  38. ema21 - 1.01944
  39. ema50 - 1.02221
  40. ema100 - 1.01839
  41. price_ema9_diff - -0.00739389
  42. ema9_ema21_diff - -0.00702464
  43. ema21_ema50_diff - -0.00270869
  44. price_ema100_diff - -0.0133467
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.345451
  48. kc_percentage - -0.0168417
  49. kc_width_percentage - 0.0275919
  50. volume_ema_diff - -0.117152
  51. volume_ema1 - 275779.43534577
  52. volume_ema2 - 312374.76535701
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 118790
  56. 5m_price_ema100_diff: 0.000450727
  57. 5m_price: 118843
  58. 5m_correlation_with_coin: 0.579793
  59. btc_indicators
  60. 15m_ema100: 118695
  61. 15m_price_ema100_diff: 0.00113258
  62. 15m_price: 118829
  63. btc_indicators
  64. 1H_ema100: 118612
  65. 1H_price_ema100_diff: 0.0019475
  66. 1H_price: 118843
    67. ¸

Long Trade on ONDO

The 17 Jul 2025 at 16:20:19

With 786 ONDO at 1.005$ per unit.

Position size of 789.7 $

Take profit at 1.02 (1.5 %) and Stop Loss at 0.9946 (1 %)

That's a 1.4 RR Trade

📌 Similar Trades

Similar Trade Score: -71.67 %

Symbol Start at Seach Score Trade Score Trades Count
JUP 2025-05-26 09:58:36 0.964 -100 2
STX 2025-05-22 07:08:01 0.9594 -100 1
POPCAT 2025-06-03 04:50:53 0.9581 33.33 3
AAVE 2025-05-13 22:37:57 0.9592 -100 2
JASMY 2025-06-24 09:28:42 0.9584 -35 2
COMP 2025-06-06 09:57:35 0.9572 -100 2
OGN 2025-06-29 12:03:06 0.9562 -100 1

📌 Time Data

Start at Closed at Duration
17 Jul 2025
16:20:19		 17 Jul 2025
17:00:00		 39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.005 0.9946 1.02 1.4 1.077
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 1.005
  • Stop Loss: 0.9946
  • Take Profit: 1.02

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9946 - 1.005 = -0.0104

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.005 - 1.02 = -0.015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.015 / -0.0104 = 1.4423

📌 Position Size

Amount Margin Quantity Leverage
789.7 100 786 7.90
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 -0.0104

Taille de position = 8 / -0.0104 = -769.23

Taille de position USD = -769.23 x 1.005 = -773.08

Donc, tu peux acheter -769.23 avec un stoploss a 0.9946

Avec un position size USD de -773.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -769.23 x -0.0104 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -769.23 x -0.015 = 11.54

Si Take Profit atteint, tu gagneras 11.54$

Résumé

  • Taille de position -769.23
  • Taille de position USD -773.08
  • Perte potentielle 8
  • Gain potentiel 11.54
  • Risk-Reward Ratio 1.4423

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
1 % 8.2 $
PNL PNL %
12 $ 1.49
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.0258
            [stop_loss] => 0.9946
            [rr_ratio] => 2
            [closed_at] => 2025-07-17 17:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.031
            [stop_loss] => 0.9946
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-17 17:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.0362
            [stop_loss] => 0.9946
            [rr_ratio] => 3
            [closed_at] => 2025-07-17 17:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.0414
            [stop_loss] => 0.9946
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-17 17:20:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1.0466
            [stop_loss] => 0.9946
            [rr_ratio] => 4
            [closed_at] => 2025-07-17 17:55:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1.0518
            [stop_loss] => 0.9946
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-17 18:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1.057
            [stop_loss] => 0.9946
            [rr_ratio] => 5
            [closed_at] => 2025-07-17 18:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1.0622
            [stop_loss] => 0.9946
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-17 18:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1.0674
            [stop_loss] => 0.9946
            [rr_ratio] => 6
            [closed_at] => 2025-07-17 21:05:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 1.0726
            [stop_loss] => 0.9946
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-17 21:10:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 1.0778
            [stop_loss] => 0.9946
            [rr_ratio] => 7
            [closed_at] => 2025-07-17 21:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)