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Short Trade on ONDO

Short Trade on ONDO

The 30 Aug 2025 at 19:05:39

With 4083.1366 ONDO at 0.9081$ per unit.

Position size of 3707.8963 $

Take profit at 0.9052 (0.32 %) and Stop Loss at 0.9101 (0.22 %)

That's a 1.45 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.23
Prediction Score: 2.8045
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
1 0.42
Prediction 3 Probability
1 0.54
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

 1

5m : 0.789135

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.001306185389
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.906921
  4. ema21 - 0.908567
  5. ema50 - 0.91419
  6. ema100 - 0.922362
  7. price_ema9_diff - 0.00129905
  8. ema9_ema21_diff - -0.00181115
  9. ema21_ema50_diff - -0.00615064
  10. price_ema100_diff - -0.0154627
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.483003
  14. adx - 0.155791
  15. kc_percentage - 0.48717
  16. kc_width_percentage - 0.0275457
  17. volume_ema_diff - -0.726517
  18. volume_ema1 - 448102.009879
  19. volume_ema2 - 1638502.6092041
    20. ¸
  20. 15m
  21. ema9 - 0.905522
  22. ema21 - 0.905368
  23. ema50 - 0.906818
  24. ema100 - 0.90767
  25. price_ema9_diff - 0.00284668
  26. ema9_ema21_diff - 0.000170047
  27. ema21_ema50_diff - -0.00159946
  28. price_ema100_diff - 0.000472931
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.560426
  32. adx - 0.138191
  33. kc_percentage - 0.771785
  34. kc_width_percentage - 0.0112028
  35. volume_ema_diff - -0.287082
  36. volume_ema1 - 141079.42705274
  37. volume_ema2 - 197890.30554178
    38. ¸
  38. 5m
  39. ema9 - 0.906467
  40. ema21 - 0.905265
  41. ema50 - 0.904901
  42. ema100 - 0.905718
  43. price_ema9_diff - 0.0018007
  44. ema9_ema21_diff - 0.0013277
  45. ema21_ema50_diff - 0.000402699
  46. price_ema100_diff - 0.00262933
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.646235
  50. adx - 0.239488
  51. kc_percentage - 1.04271
  52. kc_width_percentage - 0.00563722
  53. volume_ema_diff - 0.190754
  54. volume_ema1 - 58568.272301078
  55. volume_ema2 - 49185.866131136
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108614
  59. 5m_price_ema100_diff: -0.000635992
  60. 5m_price: 108545
  61. 5m_correlation_with_coin: 0.789135
  62. btc_indicators
  63. 15m_ema100: 108495
  64. 15m_price_ema100_diff: 0.000454411
  65. 15m_price: 108545
  66. btc_indicators
  67. 1H_ema100: 109983
  68. 1H_price_ema100_diff: -0.0130793
  69. 1H_price: 108545
    70. ¸

📌 Time Data

Start at Closed at Duration
30 Aug 2025
19:05:39		 30 Aug 2025
20:00:00		 54 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9081 0.9101 0.9052 1.45 0.9051
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 0.9081
  • Stop Loss: 0.9101
  • Take Profit: 0.9052

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9101 - 0.9081 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9081 - 0.9052 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
3707.8963 100 4083.1366 37.08
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.9081 = 3632.4

Donc, tu peux acheter 4000 avec un stoploss a 0.9101

Avec un position size USD de 3632.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 3632.4
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
0.32 % 11.84 $
SL % Target SL $ Target
0.22 % 8.17 $
PNL PNL %
-8.17 $ -0.22
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2423 % 110.04 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.9052
            [entry_price] => 0.9081
            [stop_loss] => 0.9103
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-08-30 20:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.9052
            [entry_price] => 0.9081
            [stop_loss] => 0.9105
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-08-30 20:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.9052
            [entry_price] => 0.9081
            [stop_loss] => 0.9107
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-08-30 20:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.9052
            [entry_price] => 0.9081
            [stop_loss] => 0.9111
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-08-30 20:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0102
            [rr_ratio] => 0.18
            [high] => 0.91830000
            [low] => 0.90630000
            [mfe_pct] => 0.2
            [mae_pct] => 1.12
            [mfe_mae_ratio] => 0.18
            [candles_analyzed] => 24
            [start_at] => 2025-08-30T19:05:39-04:00
            [end_at] => 2025-08-30T21:05:39-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0018
            [max_drawdown] => 0.0122
            [rr_ratio] => 0.15
            [high] => 0.92030000
            [low] => 0.90630000
            [mfe_pct] => 0.2
            [mae_pct] => 1.34
            [mfe_mae_ratio] => 0.15
            [candles_analyzed] => 84
            [start_at] => 2025-08-30T19:05:39-04:00
            [end_at] => 2025-08-31T02:05:39-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.90880000
            [high_after] => 0.92030000
            [low_before] => 0.90130000
            [low_after] => 0.90630000
            [is_new_high] => 
            [is_new_low] => 
        )

)