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Short Trade on ONDO

Short Trade on ONDO

The 29 Aug 2025 at 17:49:01

With 1996.355 ONDO at 0.9061$ per unit.

Position size of 1808.8973 $

Take profit at 0.9001 (0.66 %) and Stop Loss at 0.9101 (0.44 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 30
ML Pullback Score: 2.55
Prediction Score: 3.1444
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
1 0.64
Prediction 3 Probability
0 0.9
Market Regime Score BTC Correlation

ml_regime : bear

rules_regime : bear_medium

rules_regime_5m : bear_low

 3

5m : 0.772642

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.002671535478
Details
  1. score: 1.05
  2. 1H
  3. ema9 - 0.903526
  4. ema21 - 0.912067
  5. ema50 - 0.922107
  6. ema100 - 0.924768
  7. price_ema9_diff - 0.00284858
  8. ema9_ema21_diff - -0.0093647
  9. ema21_ema50_diff - -0.0108885
  10. price_ema100_diff - -0.0201871
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.444671
  14. adx - 0.223718
  15. kc_percentage - 0.393446
  16. kc_width_percentage - 0.0553182
  17. volume_ema_diff - -0.202195
  18. volume_ema1 - 2231144.7516937
  19. volume_ema2 - 2796606.004218
    20. ¸
  20. 15m
  21. ema9 - 0.901424
  22. ema21 - 0.90127
  23. ema50 - 0.9063
  24. ema100 - 0.914301
  25. price_ema9_diff - 0.0051864
  26. ema9_ema21_diff - 0.000171201
  27. ema21_ema50_diff - -0.0055503
  28. price_ema100_diff - -0.00897072
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.563703
  32. adx - 0.258612
  33. kc_percentage - 0.738007
  34. kc_width_percentage - 0.0228566
  35. volume_ema_diff - -0.627661
  36. volume_ema1 - 278445.67128415
  37. volume_ema2 - 747830.35285013
    38. ¸
  38. 5m
  39. ema9 - 0.902414
  40. ema21 - 0.900445
  41. ema50 - 0.900259
  42. ema100 - 0.902815
  43. price_ema9_diff - 0.00408454
  44. ema9_ema21_diff - 0.00218585
  45. ema21_ema50_diff - 0.000207
  46. price_ema100_diff - 0.00363855
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.67426
  50. adx - 0.199099
  51. kc_percentage - 1.04723
  52. kc_width_percentage - 0.0112446
  53. volume_ema_diff - -0.693245
  54. volume_ema1 - 60332.806942121
  55. volume_ema2 - 196681.30779242
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108464
  59. 5m_price_ema100_diff: -0.0018939
  60. 5m_price: 108258
  61. 5m_correlation_with_coin: 0.772642
  62. btc_indicators
  63. 15m_ema100: 109728
  64. 15m_price_ema100_diff: -0.013397
  65. 15m_price: 108258
  66. btc_indicators
  67. 1H_ema100: 111056
  68. 1H_price_ema100_diff: -0.0251936
  69. 1H_price: 108258
    70. ¸

📌 Time Data

Start at Closed at Duration
29 Aug 2025
17:49:01		 29 Aug 2025
18:10:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.9061 0.9101 0.9001 1.5 0.9034
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 0.9061
  • Stop Loss: 0.9101
  • Take Profit: 0.9001

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.9101 - 0.9061 = 0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.9061 - 0.9001 = 0.006

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.006 / 0.004 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1808.8973 100 1996.355 18.09
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 0.004

Taille de position = 8 / 0.004 = 2000

Taille de position USD = 2000 x 0.9061 = 1812.2

Donc, tu peux acheter 2000 avec un stoploss a 0.9101

Avec un position size USD de 1812.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2000 x 0.004 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2000 x 0.006 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2000
  • Taille de position USD 1812.2
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 11.98 $
SL % Target SL $ Target
0.44 % 7.99 $
PNL PNL %
11.98 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1655 % 37.49 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.8981
            [stop_loss] => 0.9101
            [rr_ratio] => 2
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.8961
            [stop_loss] => 0.9101
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.8941
            [stop_loss] => 0.9101
            [rr_ratio] => 3
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.8921
            [stop_loss] => 0.9101
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.8901
            [stop_loss] => 0.9101
            [rr_ratio] => 4
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.8881
            [stop_loss] => 0.9101
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.8861
            [stop_loss] => 0.9101
            [rr_ratio] => 5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.8841
            [stop_loss] => 0.9101
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.8821
            [stop_loss] => 0.9101
            [rr_ratio] => 6
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.8801
            [stop_loss] => 0.9101
            [rr_ratio] => 6.5
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.8781
            [stop_loss] => 0.9101
            [rr_ratio] => 7
            [closed_at] => 2025-08-29 20:20:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0075000000000001
            [max_drawdown] => 0.0029
            [rr_ratio] => 2.59
            [high] => 0.90900000
            [low] => 0.89860000
            [mfe_pct] => 0.83
            [mae_pct] => 0.32
            [mfe_mae_ratio] => 2.59
            [candles_analyzed] => 24
            [start_at] => 2025-08-29T17:49:01-04:00
            [end_at] => 2025-08-29T19:49:01-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0124
            [max_drawdown] => 0.0157
            [rr_ratio] => 0.79
            [high] => 0.92180000
            [low] => 0.89370000
            [mfe_pct] => 1.37
            [mae_pct] => 1.73
            [mfe_mae_ratio] => 0.79
            [candles_analyzed] => 84
            [start_at] => 2025-08-29T17:49:01-04:00
            [end_at] => 2025-08-30T00:49:01-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.90710000
            [high_after] => 0.92180000
            [low_before] => 0.89080000
            [low_after] => 0.89370000
            [is_new_high] => 
            [is_new_low] => 
        )

)