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Short Trade on ONDO

Short Trade on ONDO

The 01 Sep 2025 at 03:28:10

With 1914.6802 ONDO at 0.8848$ per unit.

Position size of 1694.1091 $

Take profit at 0.8785 (0.71 %) and Stop Loss at 0.889 (0.47 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.01
Prediction Score: 2
Prediction 1 Probability
Strong Trade
0.68
Prediction 2 Probability
0 0.61
Prediction 3 Probability
0 0.5
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

 1

5m : 0.775856

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002785495599
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.884529
  4. ema21 - 0.893861
  5. ema50 - 0.903599
  6. ema100 - 0.912989
  7. price_ema9_diff - 0.000305572
  8. ema9_ema21_diff - -0.0104395
  9. ema21_ema50_diff - -0.0107771
  10. price_ema100_diff - -0.0308761
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.386802
  14. adx - 0.317755
  15. kc_percentage - 0.265652
  16. kc_width_percentage - 0.0409556
  17. volume_ema_diff - -0.0240407
  18. volume_ema1 - 1564576.116778
  19. volume_ema2 - 1603116.2283213
    20. ¸
  20. 15m
  21. ema9 - 0.877975
  22. ema21 - 0.879436
  23. ema50 - 0.887748
  24. ema100 - 0.896201
  25. price_ema9_diff - 0.00777279
  26. ema9_ema21_diff - -0.00166105
  27. ema21_ema50_diff - -0.00936309
  28. price_ema100_diff - -0.0127217
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.507927
  32. adx - 0.424244
  33. kc_percentage - 0.766629
  34. kc_width_percentage - 0.0238417
  35. volume_ema_diff - -0.601875
  36. volume_ema1 - 199309.20538916
  37. volume_ema2 - 500620.11607207
    38. ¸
  38. 5m
  39. ema9 - 0.8808
  40. ema21 - 0.878811
  41. ema50 - 0.878442
  42. ema100 - 0.882464
  43. price_ema9_diff - 0.00454038
  44. ema9_ema21_diff - 0.0022635
  45. ema21_ema50_diff - 0.000420052
  46. price_ema100_diff - 0.00264673
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.636219
  50. adx - 0.233004
  51. kc_percentage - 1.00999
  52. kc_width_percentage - 0.0130274
  53. volume_ema_diff - -0.18795
  54. volume_ema1 - 116891.16393782
  55. volume_ema2 - 143945.88266236
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 107916
  59. 5m_price_ema100_diff: 0.00383682
  60. 5m_price: 108330
  61. 5m_correlation_with_coin: 0.775856
  62. btc_indicators
  63. 15m_ema100: 108290
  64. 15m_price_ema100_diff: -0.000696724
  65. 15m_price: 108214
  66. btc_indicators
  67. 1H_ema100: 109491
  68. 1H_price_ema100_diff: -0.010603
  69. 1H_price: 108330
    70. ¸

📌 Time Data

Start at Closed at Duration
01 Sep 2025
03:28:10		 01 Sep 2025
03:30:00		 1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8848 0.889 0.8785 1.5 0.9039
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 0.8848
  • Stop Loss: 0.889
  • Take Profit: 0.8785

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.889 - 0.8848 = 0.0042

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8848 - 0.8785 = 0.0063000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0063000000000001 / 0.0042 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1694.1091 100 1914.6802 16.94
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 0.0042

Taille de position = 8 / 0.0042 = 1904.76

Taille de position USD = 1904.76 x 0.8848 = 1685.33

Donc, tu peux acheter 1904.76 avec un stoploss a 0.889

Avec un position size USD de 1685.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1904.76 x 0.0042 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1904.76 x 0.0063000000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 1904.76
  • Taille de position USD 1685.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.71 % 12.06 $
SL % Target SL $ Target
0.47 % 8.04 $
PNL PNL %
-8.04 $ -0.47
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.9494 % 200 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.8785
            [entry_price] => 0.8848
            [stop_loss] => 0.88942
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-01 03:30:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.8785
            [entry_price] => 0.8848
            [stop_loss] => 0.88984
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-01 03:30:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.8785
            [entry_price] => 0.8848
            [stop_loss] => 0.89026
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-01 03:30:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.8785
            [entry_price] => 0.8848
            [stop_loss] => 0.8911
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-01 03:30:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.00069999999999992
            [max_drawdown] => 0.0266
            [rr_ratio] => -0.03
            [high] => 0.91140000
            [low] => 0.88550000
            [mfe_pct] => -0.08
            [mae_pct] => 3.01
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T03:28:10-04:00
            [end_at] => 2025-09-01T05:28:10-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0013000000000001
            [max_drawdown] => 0.027
            [rr_ratio] => 0.05
            [high] => 0.91180000
            [low] => 0.88350000
            [mfe_pct] => 0.15
            [mae_pct] => 3.05
            [mfe_mae_ratio] => 0.05
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T03:28:10-04:00
            [end_at] => 2025-09-01T10:28:10-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.88680000
            [high_after] => 0.91180000
            [low_before] => 0.86900000
            [low_after] => 0.88550000
            [is_new_high] => 
            [is_new_low] => 
        )

)