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Short Trade on ONDO

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Short Trade on ONDO 30 May 2025 at 15:26:17

Take profit at 0.842 (0.85 %) and Stop Loss at 0.854 (0.57 %)

Short Trade on ONDO

The 30 May 2025 at 15:26:17

With 1662.8423 ONDO at 0.8492$ per unit.

Position size of 1412.0857 $

Take profit at 0.842 (0.85 %) and Stop Loss at 0.854 (0.57 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 8.5
Prediction Score: 1.1708
Prediction 1 Probability
Weak Trade
0.53
Prediction 2 Probability
2 0.46
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.79484

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.003207359577
Details
  1. score: 1.01
  2. 1H
  3. ema9 : 0.850716
  4. ema21 : 0.865998
  5. ema50 : 0.891358
  6. ema100 : 0.910417
  7. price_ema9_diff : -0.00178229
  8. ema9_ema21_diff : -0.0176468
  9. ema21_ema50_diff : -0.0284506
  10. price_ema100_diff : -0.067241
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. rsi : 0.386792
  14. kc_percentage : 0.241931
  15. kc_width_percentage : 0.0711598
    16. ¸
  16. 15m
  17. ema9 : 0.843057
  18. ema21 : 0.845333
  19. ema50 : 0.854918
  20. ema100 : 0.867941
  21. price_ema9_diff : 0.00728636
  22. ema9_ema21_diff : -0.00269269
  23. ema21_ema50_diff : -0.0112122
  24. price_ema100_diff : -0.0215934
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.520088
  28. kc_percentage : 0.650468
  29. kc_width_percentage : 0.0328079
    30. ¸
  30. 5m
  31. ema9 : 0.846616
  32. ema21 : 0.843171
  33. ema50 : 0.84375
  34. ema100 : 0.849201
  35. price_ema9_diff : 0.00305105
  36. ema9_ema21_diff : 0.00408593
  37. ema21_ema50_diff : -0.000685434
  38. price_ema100_diff : -2.31118E-6
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.644337
  42. kc_percentage : 1.00787
  43. kc_width_percentage : 0.0135867
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    104981
  47. 5m_price_ema100_diff: 
    -0.00200144
  48. 5m_price: 
    104771
  49. 5m_correlation_with_coin: 
    0.79484
  50. btc_indicators
  51. 15m_ema100: 
    105444
  52. 15m_price_ema100_diff: 
    -0.00638371
  53. 15m_price: 
    104771
  54. btc_indicators
  55. 1H_ema100: 
    107284
  56. 1H_price_ema100_diff: 
    -0.0234283
  57. 1H_price: 
    104771
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
30 May 2025
15:26:17		 30 May 2025
16:05:00		 38 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8492 0.854 0.842 1.5 0.2607
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 0.8492
  • Stop Loss: 0.854
  • Take Profit: 0.842

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.854 - 0.8492 = 0.0048

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8492 - 0.842 = 0.0072

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0072 / 0.0048 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1412.0857 100 1662.8423 14.12
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 0.0048

Taille de position = 8 / 0.0048 = 1666.67

Taille de position USD = 1666.67 x 0.8492 = 1415.34

Donc, tu peux acheter 1666.67 avec un stoploss a 0.854

Avec un position size USD de 1415.34$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1666.67 x 0.0048 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1666.67 x 0.0072 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1666.67
  • Taille de position USD 1415.34
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.85 % 11.97 $
SL % Target SL $ Target
0.57 % 7.98 $
PNL PNL %
11.97 $ 0.85
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.27084314649082 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8396
            [stop_loss] => 0.854
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8372
            [stop_loss] => 0.854
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8348
            [stop_loss] => 0.854
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 18:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8324
            [stop_loss] => 0.854
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 18:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.83
            [stop_loss] => 0.854
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 18:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.8276
            [stop_loss] => 0.854
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 18:35:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8252
            [stop_loss] => 0.854
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.8228
            [stop_loss] => 0.854
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.8204
            [stop_loss] => 0.854
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 18:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.818
            [stop_loss] => 0.854
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 18:55:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.8156
            [stop_loss] => 0.854
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 19:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0072
            [max_drawdown] => 0.0023000000000001
            [rr_ratio] => 3.13
            [high] => 0.85150000
            [low] => 0.84200000
            [mfe_pct] => 0.85
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 3.13
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T15:26:17-04:00
            [end_at] => 2025-05-30T17:26:17-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0601
            [max_drawdown] => 0.0023000000000001
            [rr_ratio] => 26.13
            [high] => 0.85150000
            [low] => 0.78910000
            [mfe_pct] => 7.08
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 26.13
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T15:26:17-04:00
            [end_at] => 2025-05-30T21:26:17-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.86400000
            [high_after] => 0.85150000
            [low_before] => 0.81250000
            [low_after] => 0.78910000
            [is_new_high] => 
            [is_new_low] => 1
        )

)