Short Trade on ONDO 17 Sep 2025 at 08:54:41

Take profit at 1.0126 (0.69 %) and Stop Loss at 1.0231 (0.34 %)

Short Trade on ONDO

The 17 Sep 2025 at 08:54:41

With 2298.4307 ONDO at 1.0196$ per unit.

Position size of 2343.4799 $

Take profit at 1.0126 (0.69 %) and Stop Loss at 1.0231 (0.34 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 4.39
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.68
Prediction 2 Probability
0 0.63
Prediction 3 Probability
1 0.55
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_low

5m_regime : range_low

BTC Correlation Score

5m : 0.651308

15m : 0.049091

1H : -0.072586

0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.002320423856
Details
  1. score: 1.09
  2. 1H
  3. ema9 : 1.01616
  4. ema21 : 1.01987
  5. ema50 : 1.0289
  6. ema100 : 1.04534
  7. price_ema9_diff : 0.00337854
  8. ema9_ema21_diff : -0.0036343
  9. ema21_ema50_diff : -0.00877982
  10. price_ema100_diff : -0.0246275
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.073236
  14. ema_slope_21 : -0.0702695
  15. ema_slope_50 : -0.0639583
  16. ema_slope_100 : -0.0628519
  17. rsi : 0.482729
  18. adx : 0.20488
  19. kc_percentage : 0.50073
  20. kc_width_percentage : 0.0370419
  21. volume_ema_diff : -0.296153
  22. volume_ema1 : 1717904.5406087
  23. volume_ema2 : 2440737.9931565
  24. regime : bear_high
  25. ¸
  26. 15m
  27. ema9 : 1.01424
  28. ema21 : 1.01422
  29. ema50 : 1.01658
  30. ema100 : 1.02133
  31. price_ema9_diff : 0.005276
  32. ema9_ema21_diff : 2.49519E-5
  33. ema21_ema50_diff : -0.00232722
  34. price_ema100_diff : -0.00169419
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : -0.00512569
  38. ema_slope_21 : -0.0161037
  39. ema_slope_50 : -0.0184224
  40. ema_slope_100 : -0.0188232
  41. rsi : 0.569637
  42. adx : 0.197902
  43. kc_percentage : 0.863172
  44. kc_width_percentage : 0.0146564
  45. volume_ema_diff : -0.183461
  46. volume_ema1 : 393036.71201299
  47. volume_ema2 : 481344.84411621
  48. regime : range_low
  49. ¸
  50. 5m
  51. ema9 : 1.01583
  52. ema21 : 1.01386
  53. ema50 : 1.01356
  54. ema100 : 1.01388
  55. price_ema9_diff : 0.00371037
  56. ema9_ema21_diff : 0.00194262
  57. ema21_ema50_diff : 0.000296106
  58. price_ema100_diff : 0.00563284
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0394326
  62. ema_slope_21 : 0.0174698
  63. ema_slope_50 : 0.00324918
  64. ema_slope_100 : 0.000166003
  65. rsi : 0.6588
  66. adx : 0.249697
  67. kc_percentage : 1.08824
  68. kc_width_percentage : 0.00944047
  69. volume_ema_diff : 0.598893
  70. volume_ema1 : 230197.40899439
  71. volume_ema2 : 143972.93575948
  72. regime : range_low
  73. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100:
    116474
  77. 5m_price_ema100_diff:
    -0.00221453
  78. 5m_price:
    116216
  79. 5m_correlation_with_coin:
    0.651308
  80. btc_indicators
  81. 15m_ema100:
    116340
  82. 15m_price_ema100_diff:
    -0.00118343
  83. 15m_price:
    116203
  84. 15m_correlation_with_coin:
    0.049091
  85. btc_indicators
  86. 1H_ema100:
    115895
  87. 1H_price_ema100_diff:
    0.00277014
  88. 1H_price:
    116216
  89. 1H_correlation_with_coin:
    -0.072586
  90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
17 Sep 2025
08:54:41
17 Sep 2025
09:05:00
10 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0196 1.0231 1.0126 2 0.2634
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 1.0196
  • Stop Loss: 1.0231
  • Take Profit: 1.0126

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0231 - 1.0196 = 0.0034999999999998

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0196 - 1.0126 = 0.0070000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0070000000000001 / 0.0034999999999998 = 2

📌 Position Size

Amount Margin Quantity Leverage
2343.4799 100 2298.4307 23.43
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 0.0034999999999998

Taille de position = 8 / 0.0034999999999998 = 2285.71

Taille de position USD = 2285.71 x 1.0196 = 2330.51

Donc, tu peux acheter 2285.71 avec un stoploss a 1.0231

Avec un position size USD de 2330.51$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2285.71 x 0.0034999999999998 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2285.71 x 0.0070000000000001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 2285.71
  • Taille de position USD 2330.51
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.69 % 16.09 $
SL % Target SL $ Target
0.34 % 8.04 $
PNL PNL %
-8.04 $ -0.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3433 % 100 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 1.0126
            [entry_price] => 1.0196
            [stop_loss] => 1.02345
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 1.0126
            [entry_price] => 1.0196
            [stop_loss] => 1.0238
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 1.0126
            [entry_price] => 1.0196
            [stop_loss] => 1.02415
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-17 09:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 1.0126
            [entry_price] => 1.0196
            [stop_loss] => 1.02485
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-17 10:25:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0117
            [max_drawdown] => 0.0048999999999999
            [rr_ratio] => 2.39
            [high] => 1.02450000
            [low] => 1.00790000
            [mfe_pct] => 1.15
            [mae_pct] => 0.48
            [mfe_mae_ratio] => 2.39
            [candles_analyzed] => 24
            [start_at] => 2025-09-17T08:54:42-04:00
            [end_at] => 2025-09-17T10:54:42-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0187
            [max_drawdown] => 0.0234
            [rr_ratio] => 0.8
            [high] => 1.04300000
            [low] => 1.00090000
            [mfe_pct] => 1.83
            [mae_pct] => 2.3
            [mfe_mae_ratio] => 0.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-17T08:54:42-04:00
            [end_at] => 2025-09-17T15:54:42-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.01990000
            [high_after] => 1.03210000
            [low_before] => 1.00780000
            [low_after] => 1.00090000
            [is_new_high] => 
            [is_new_low] => 1
        )

)