Short Trade on ONDO 16 Sep 2025 at 01:38:37

Take profit at 1.0206 (0.77 %) and Stop Loss at 1.0325 (0.39 %)

Short Trade on ONDO

The 16 Sep 2025 at 01:38:37

With 2025.1706 ONDO at 1.0285$ per unit.

Position size of 2082.888 $

Take profit at 1.0206 (0.77 %) and Stop Loss at 1.0325 (0.39 %)

That's a 1.98 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.72
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.86
Prediction 2 Probability
0 0.65
Prediction 3 Probability
0 0.92
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bull_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : range_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.647417

15m : -0.113089

1H : 0.109022

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.002633522983
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 1.02576
  4. ema21 : 1.03008
  5. ema50 : 1.04416
  6. ema100 : 1.06353
  7. price_ema9_diff : 0.00266756
  8. ema9_ema21_diff : -0.00419976
  9. ema21_ema50_diff : -0.0134772
  10. price_ema100_diff : -0.0329465
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.00341814
  14. ema_slope_21 : -0.056377
  15. ema_slope_50 : -0.0820618
  16. ema_slope_100 : -0.0759385
  17. rsi : 0.469805
  18. adx : 0.303432
  19. kc_percentage : 0.474083
  20. kc_width_percentage : 0.0430237
  21. volume_ema_diff : -0.3752
  22. volume_ema1 : 1810695.3239221
  23. volume_ema2 : 2898040.0165481
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.02309
  28. ema21 : 1.02395
  29. ema50 : 1.02667
  30. ema100 : 1.03294
  31. price_ema9_diff : 0.00528709
  32. ema9_ema21_diff : -0.000848391
  33. ema21_ema50_diff : -0.00264626
  34. price_ema100_diff : -0.0043023
  35. all_emas_in_trend : True
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.0517115
  38. ema_slope_21 : -0.0467554
  39. ema_slope_50 : -0.0294553
  40. ema_slope_100 : -0.0268982
  41. rsi : 0.546996
  42. adx : 0.215995
  43. kc_percentage : 0.721285
  44. kc_width_percentage : 0.0204334
  45. volume_ema_diff : -0.250566
  46. volume_ema1 : 393202.12309176
  47. volume_ema2 : 524665.89967809
  48. regime : range_medium
  49. ¸
  50. 5m
  51. ema9 : 1.02489
  52. ema21 : 1.02235
  53. ema50 : 1.0231
  54. ema100 : 1.02544
  55. price_ema9_diff : 0.00351558
  56. ema9_ema21_diff : 0.00248874
  57. ema21_ema50_diff : -0.000738525
  58. price_ema100_diff : 0.00298308
  59. all_emas_in_trend : False
  60. all_emas_and_price_in_trend : False
  61. ema_slope_9 : 0.0758328
  62. ema_slope_21 : 0.0328071
  63. ema_slope_50 : 0.00212018
  64. ema_slope_100 : -0.00478931
  65. rsi : 0.658928
  66. adx : 0.209234
  67. kc_percentage : 1.07876
  68. kc_width_percentage : 0.0101949
  69. volume_ema_diff : -0.200608
  70. volume_ema1 : 129947.90497356
  71. volume_ema2 : 162558.5473663
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    115289
  77. 5m_price_ema100_diff:
    0.00383295
  78. 5m_price:
    115731
  79. 5m_correlation_with_coin:
    0.647417
  80. btc_indicators
  81. 15m_ema100:
    115292
  82. 15m_price_ema100_diff:
    0.00350559
  83. 15m_price:
    115697
  84. 15m_correlation_with_coin:
    -0.113089
  85. btc_indicators
  86. 1H_ema100:
    115409
  87. 1H_price_ema100_diff:
    0.00278864
  88. 1H_price:
    115731
  89. 1H_correlation_with_coin:
    0.109022
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
16 Sep 2025
01:38:37
16 Sep 2025
01:55:00
16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0285 1.0325 1.0206 1.98 0.2569
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 1.0285
  • Stop Loss: 1.0325
  • Take Profit: 1.0206

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0325 - 1.0285 = 0.004

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0285 - 1.0206 = 0.0079

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0079 / 0.004 = 1.975

📌 Position Size

Amount Margin Quantity Leverage
2082.888 100 2025.1706 20.83
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 1.0285 = 2057

Donc, tu peux acheter 2000 avec un stoploss a 1.0325

Avec un position size USD de 2057$

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 0.0079 = 15.8

Si Take Profit atteint, tu gagneras 15.8$

Résumé

  • Taille de position 2000
  • Taille de position USD 2057
  • Perte potentielle 8
  • Gain potentiel 15.8
  • Risk-Reward Ratio 1.975

📌 Peformances

TP % Target TP $ Target
0.77 % 16 $
SL % Target SL $ Target
0.39 % 8.1 $
PNL PNL %
-8.1 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4084 % 105.01 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0206
            [entry_price] => 1.0285
            [stop_loss] => 1.0329
            [rr_ratio] => 1.8
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0206
            [entry_price] => 1.0285
            [stop_loss] => 1.0333
            [rr_ratio] => 1.65
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0206
            [entry_price] => 1.0285
            [stop_loss] => 1.0337
            [rr_ratio] => 1.52
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-16 02:00:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0206
            [entry_price] => 1.0285
            [stop_loss] => 1.0345
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-16 03:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0043
            [max_drawdown] => 0.0059
            [rr_ratio] => 0.73
            [high] => 1.03440000
            [low] => 1.02420000
            [mfe_pct] => 0.42
            [mae_pct] => 0.57
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-09-16T01:38:37-04:00
            [end_at] => 2025-09-16T03:38:37-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0043
            [max_drawdown] => 0.0198
            [rr_ratio] => 0.22
            [high] => 1.04830000
            [low] => 1.02420000
            [mfe_pct] => 0.42
            [mae_pct] => 1.93
            [mfe_mae_ratio] => 0.22
            [candles_analyzed] => 84
            [start_at] => 2025-09-16T01:38:37-04:00
            [end_at] => 2025-09-16T08:38:37-04:00
        )

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

)