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Short Trade on ONDO

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Short Trade on ONDO 16 Sep 2025 at 01:30:04

Take profit at 1.0189 (0.79 %) and Stop Loss at 1.0311 (0.4 %)

Short Trade on ONDO

The 16 Sep 2025 at 01:30:04

With 1966.892 ONDO at 1.027$ per unit.

Position size of 2019.9981 $

Take profit at 1.0189 (0.79 %) and Stop Loss at 1.0311 (0.4 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.38
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.9
Prediction 2 Probability
0 0.73
Prediction 3 Probability
0 0.62
BTC Market Regime Coin Market Regime

ml_regime : range

rules_regime : range_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.188948

15m : -0.043965

1H : -0.013062

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.002711553691
Details
  1. score: 1.04
  2. 1H
  3. ema9 : 1.02546
  4. ema21 : 1.02995
  5. ema50 : 1.0441
  6. ema100 : 1.06351
  7. price_ema9_diff : 0.00149814
  8. ema9_ema21_diff : -0.0043592
  9. ema21_ema50_diff : -0.0135522
  10. price_ema100_diff : -0.0343299
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.00585435
  14. ema_slope_21 : -0.0574727
  15. ema_slope_50 : -0.0825266
  16. ema_slope_100 : -0.0761692
  17. rsi : 0.459484
  18. adx : 0.308217
  19. kc_percentage : 0.441673
  20. kc_width_percentage : 0.0418012
  21. volume_ema_diff : -0.397014
  22. volume_ema1 : 1742648.5493348
  23. volume_ema2 : 2890034.5136554
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 1.02173
  27. ema21 : 1.0235
  28. ema50 : 1.0266
  29. ema100 : 0
  30. price_ema9_diff : 0.00514953
  31. ema9_ema21_diff : -0.00172638
  32. ema21_ema50_diff : -0.00301623
  33. price_ema100_diff : 0
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0674336
  37. ema_slope_21 : -0.0525505
  38. ema_slope_50 : -0.0311157
  39. ema_slope_100 : -0.027664
  40. rsi : 0.53144
  41. adx : 0.226666
  42. kc_percentage : 0.663019
  43. kc_width_percentage : 0.0217416
  44. volume_ema_diff : -0.0130367
  45. volume_ema1 : 534506.56232654
  46. volume_ema2 : 541566.82437425
  47. regime : range_medium
    48. ¸
  48. 5m
  49. ema9 : 1.02287
  50. ema21 : 1.02106
  51. ema50 : 1.02268
  52. ema100 : 1.02551
  53. price_ema9_diff : 0.00403752
  54. ema9_ema21_diff : 0.00177117
  55. ema21_ema50_diff : -0.00158849
  56. price_ema100_diff : 0.00145155
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.0537376
  60. ema_slope_21 : 0.0156563
  61. ema_slope_50 : -0.00731056
  62. ema_slope_100 : -0.0100341
  63. rsi : 0.635266
  64. adx : 0.197324
  65. kc_percentage : 1.04077
  66. kc_width_percentage : 0.0106476
  67. volume_ema_diff : -0.0154156
  68. volume_ema1 : 166925.85452456
  69. volume_ema2 : 169539.41731174
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    115278
  74. 5m_price_ema100_diff: 
    0.00342532
  75. 5m_price: 
    115673
  76. 5m_correlation_with_coin: 
    0.188948
  77. btc_indicators
  78. 15m_ema100: 
    115292
  79. 15m_price_ema100_diff: 
    0.00330241
  80. 15m_price: 
    115673
  81. 15m_correlation_with_coin: 
    -0.043965
  82. btc_indicators
  83. 1H_ema100: 
    115408
  84. 1H_price_ema100_diff: 
    0.00229012
  85. 1H_price: 
    115673
  86. 1H_correlation_with_coin: 
    -0.013062
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:30:04		 16 Sep 2025
01:50:00		 19 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.027 1.0311 1.0189 1.98 0.2637
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 1.027
  • Stop Loss: 1.0311
  • Take Profit: 1.0189

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0311 - 1.027 = 0.0041

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.027 - 1.0189 = 0.0081

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0081 / 0.0041 = 1.9756

📌 Position Size

Amount Margin Quantity Leverage
2019.9981 100 1966.892 20.20
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 0.0041

Taille de position = 8 / 0.0041 = 1951.22

Taille de position USD = 1951.22 x 1.027 = 2003.9

Donc, tu peux acheter 1951.22 avec un stoploss a 1.0311

Avec un position size USD de 2003.9$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1951.22 x 0.0041 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1951.22 x 0.0081 = 15.8

Si Take Profit atteint, tu gagneras 15.8$

Résumé

  • Taille de position 1951.22
  • Taille de position USD 2003.9
  • Perte potentielle 8
  • Gain potentiel 15.8
  • Risk-Reward Ratio 1.9756

📌 Peformances

TP % Target TP $ Target
0.79 % 15.93 $
SL % Target SL $ Target
0.4 % 8.06 $
PNL PNL %
-8.06 $ -0.40
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4187 % 104.88 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0189
            [entry_price] => 1.027
            [stop_loss] => 1.03151
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0189
            [entry_price] => 1.027
            [stop_loss] => 1.03192
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0189
            [entry_price] => 1.027
            [stop_loss] => 1.03233
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 01:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0189
            [entry_price] => 1.027
            [stop_loss] => 1.03315
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0027999999999999
            [max_drawdown] => 0.0074000000000001
            [rr_ratio] => 0.38
            [high] => 1.03440000
            [low] => 1.02420000
            [mfe_pct] => 0.27
            [mae_pct] => 0.72
            [mfe_mae_ratio] => 0.38
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:30:04-04:00
            [end_at] => 2025-09-16T03:30:04-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0027999999999999
            [max_drawdown] => 0.0213
            [rr_ratio] => 0.13
            [high] => 1.04830000
            [low] => 1.02420000
            [mfe_pct] => 0.27
            [mae_pct] => 2.07
            [mfe_mae_ratio] => 0.13
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:30:04-04:00
            [end_at] => 2025-09-16T08:30:04-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.03390000
            [high_after] => 1.04830000
            [low_before] => 1.00810000
            [low_after] => 1.02420000
            [is_new_high] => 
            [is_new_low] => 
        )

)