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Short Trade on ONDO

Short Trade on ONDO

The 01 Sep 2025 at 14:31:05

With 2209.595 ONDO at 0.8852$ per unit.

Position size of 1955.9335 $

Take profit at 0.8798 (0.61 %) and Stop Loss at 0.8888 (0.41 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 140
ML Pullback Score: 6.79
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.76
Prediction 2 Probability
0 0.52
Prediction 3 Probability
0 0.78
Market Regime Score BTC Correlation

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

 0

5m : 0.795219

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.002413715308
Details
  1. score: 1.01
  2. 1H
  3. ema9 - 0.885295
  4. ema21 - 0.890192
  5. ema50 - 0.898631
  6. ema100 - 0.907924
  7. price_ema9_diff - -0.000107527
  8. ema9_ema21_diff - -0.00550163
  9. ema21_ema50_diff - -0.00939101
  10. price_ema100_diff - -0.0250295
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.440558
  14. adx - 0.242593
  15. kc_percentage - 0.375709
  16. kc_width_percentage - 0.0419426
  17. volume_ema_diff - -0.165355
  18. volume_ema1 - 1460877.4574087
  19. volume_ema2 - 1750300.0612894
    20. ¸
  20. 15m
  21. ema9 - 0.881699
  22. ema21 - 0.883348
  23. ema50 - 0.886943
  24. ema100 - 0.891205
  25. price_ema9_diff - 0.00397006
  26. ema9_ema21_diff - -0.00186624
  27. ema21_ema50_diff - -0.00405368
  28. price_ema100_diff - -0.00673863
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.518893
  32. adx - 0.267788
  33. kc_percentage - 0.6205
  34. kc_width_percentage - 0.0189705
  35. volume_ema_diff - -0.429557
  36. volume_ema1 - 257730.77320961
  37. volume_ema2 - 451808.54943558
    38. ¸
  38. 5m
  39. ema9 - 0.881686
  40. ema21 - 0.880422
  41. ema50 - 0.882108
  42. ema100 - 0.886076
  43. price_ema9_diff - 0.00398518
  44. ema9_ema21_diff - 0.00143577
  45. ema21_ema50_diff - -0.00191141
  46. price_ema100_diff - -0.000988729
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.647502
  50. adx - 0.243512
  51. kc_percentage - 1.00924
  52. kc_width_percentage - 0.0105766
  53. volume_ema_diff - -0.484405
  54. volume_ema1 - 72071.076985146
  55. volume_ema2 - 139782.57077431
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108894
  59. 5m_price_ema100_diff: 0.00217472
  60. 5m_price: 109131
  61. 5m_correlation_with_coin: 0.795219
  62. btc_indicators
  63. 15m_ema100: 108740
  64. 15m_price_ema100_diff: 0.00359326
  65. 15m_price: 109131
  66. btc_indicators
  67. 1H_ema100: 109368
  68. 1H_price_ema100_diff: -0.002168
  69. 1H_price: 109131
    70. ¸

📌 Time Data

Start at Closed at Duration
01 Sep 2025
14:31:05		 01 Sep 2025
16:35:00		 2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8852 0.8888 0.8798 1.5 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 0.8852
  • Stop Loss: 0.8888
  • Take Profit: 0.8798

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8888 - 0.8852 = 0.0036

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8852 - 0.8798 = 0.0054

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0054 / 0.0036 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1955.9335 100 2209.595 19.56
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 0.0036

Taille de position = 8 / 0.0036 = 2222.22

Taille de position USD = 2222.22 x 0.8852 = 1967.11

Donc, tu peux acheter 2222.22 avec un stoploss a 0.8888

Avec un position size USD de 1967.11$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2222.22 x 0.0036 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2222.22 x 0.0054 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2222.22
  • Taille de position USD 1967.11
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.61 % 11.93 $
SL % Target SL $ Target
0.41 % 7.95 $
PNL PNL %
11.93 $ 0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.305 % 74.99 % 14

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.878
            [stop_loss] => 0.8888
            [rr_ratio] => 2
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.8762
            [stop_loss] => 0.8888
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-01 16:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.8744
            [stop_loss] => 0.8888
            [rr_ratio] => 3
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.8726
            [stop_loss] => 0.8888
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.8708
            [stop_loss] => 0.8888
            [rr_ratio] => 4
            [closed_at] => 2025-09-01 16:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.869
            [stop_loss] => 0.8888
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-01 16:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.8672
            [stop_loss] => 0.8888
            [rr_ratio] => 5
            [closed_at] => 2025-09-01 17:25:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.8654
            [stop_loss] => 0.8888
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-01 17:30:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.8636
            [stop_loss] => 0.8888
            [rr_ratio] => 6
            [closed_at] => 2025-09-01 17:30:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.8618
            [stop_loss] => 0.8888
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-01 17:40:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.86
            [stop_loss] => 0.8888
            [rr_ratio] => 7
            [closed_at] => 2025-09-01 17:40:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0028
            [max_drawdown] => 0.0027
            [rr_ratio] => 1.04
            [high] => 0.88790000
            [low] => 0.88240000
            [mfe_pct] => 0.32
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 1.04
            [candles_analyzed] => 24
            [start_at] => 2025-09-01T14:31:05-04:00
            [end_at] => 2025-09-01T16:31:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0264
            [max_drawdown] => 0.0027
            [rr_ratio] => 9.78
            [high] => 0.88790000
            [low] => 0.85880000
            [mfe_pct] => 2.98
            [mae_pct] => 0.31
            [mfe_mae_ratio] => 9.78
            [candles_analyzed] => 84
            [start_at] => 2025-09-01T14:31:05-04:00
            [end_at] => 2025-09-01T21:31:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.88910000
            [high_after] => 0.88790000
            [low_before] => 0.87420000
            [low_after] => 0.85880000
            [is_new_high] => 
            [is_new_low] => 1
        )

)