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Long Trade on ONDO

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Long Trade on ONDO 22 May 2025 at 15:46:41

Take profit at 1.0163 (0.74 %) and Stop Loss at 1.0038 (0.5 %)

Long Trade on ONDO

The 22 May 2025 at 15:46:41

With 1600.8504 ONDO at 1.0088$ per unit.

Position size of 1614.9379 $

Take profit at 1.0163 (0.74 %) and Stop Loss at 1.0038 (0.5 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
buy
ML Trade Score: 40
ML Pullback Score: 6.25
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.55
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.644033

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.00333156254
Details
  1. score: 2.1
  2. 1H
  3. ema9 : 1.01224
  4. ema21 : 1.00178
  5. ema50 : 0.981043
  6. ema100 : 0.967646
  7. price_ema9_diff : -0.0034014
  8. ema9_ema21_diff : 0.0104377
  9. ema21_ema50_diff : 0.0211439
  10. price_ema100_diff : 0.0425296
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.573099
  14. kc_percentage : 0.607829
  15. kc_width_percentage : 0.0560196
    16. ¸
  16. 15m
  17. ema9 : 1.01615
  18. ema21 : 1.01576
  19. ema50 : 1.01023
  20. ema100 : 0.999496
  21. price_ema9_diff : -0.00723807
  22. ema9_ema21_diff : 0.000381629
  23. ema21_ema50_diff : 0.00547231
  24. price_ema100_diff : 0.00930773
  25. all_emas_in_trend : True
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.429656
  28. kc_percentage : 0.204843
  29. kc_width_percentage : 0.0238261
    30. ¸
  30. 5m
  31. ema9 : 1.01435
  32. ema21 : 1.01671
  33. ema50 : 1.01669
  34. ema100 : 1.01415
  35. price_ema9_diff : -0.00547203
  36. ema9_ema21_diff : -0.00233003
  37. ema21_ema50_diff : 2.10408E-5
  38. price_ema100_diff : -0.0052763
  39. all_emas_in_trend : False
  40. all_emas_and_price_in_trend : False
  41. rsi : 0.343921
  42. kc_percentage : -0.0975587
  43. kc_width_percentage : 0.0129939
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    111280
  47. 5m_price_ema100_diff: 
    -0.00175991
  48. 5m_price: 
    111084
  49. 5m_correlation_with_coin: 
    0.644033
  50. btc_indicators
  51. 15m_ema100: 
    110314
  52. 15m_price_ema100_diff: 
    0.00697966
  53. 15m_price: 
    111084
  54. btc_indicators
  55. 1H_ema100: 
    107756
  56. 1H_price_ema100_diff: 
    0.0308824
  57. 1H_price: 
    111084
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 May 2025
15:46:41		 22 May 2025
16:00:00		 13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.0088 1.0038 1.0163 1.5 0.2672
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 1.0088
  • Stop Loss: 1.0038
  • Take Profit: 1.0163

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.0038 - 1.0088 = -0.0049999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.0088 - 1.0163 = -0.0075000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0075000000000001 / -0.0049999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1614.9379 100 1600.8504 16.15
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 -0.0049999999999999

Taille de position = 8 / -0.0049999999999999 = -1600

Taille de position USD = -1600 x 1.0088 = -1614.08

Donc, tu peux acheter -1600 avec un stoploss a 1.0038

Avec un position size USD de -1614.08$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1600 x -0.0049999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1600 x -0.0075000000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -1600
  • Taille de position USD -1614.08
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.74 % 12.01 $
SL % Target SL $ Target
0.5 % 8 $
PNL PNL %
11.2 $ 0.69
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.019
            [stop_loss] => 1.004
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 16:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.0215
            [stop_loss] => 1.004
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 1.024
            [stop_loss] => 1.004
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.0265
            [stop_loss] => 1.004
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.029
            [stop_loss] => 1.004
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.0315
            [stop_loss] => 1.004
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.034
            [stop_loss] => 1.004
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.0365
            [stop_loss] => 1.004
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.039
            [stop_loss] => 1.004
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.0415
            [stop_loss] => 1.004
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.044
            [stop_loss] => 1.004
            [rr_ratio] => 7
            [closed_at] => 2025-05-22 17:25:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0106
            [max_drawdown] => 0.0055999999999998
            [rr_ratio] => 1.89
            [high] => 1.01940000
            [low] => 1.00320000
            [mfe_pct] => 1.05
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 1.89
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T15:46:41-04:00
            [end_at] => 2025-05-22T17:46:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0256
            [max_drawdown] => 0.0055999999999998
            [rr_ratio] => 4.57
            [high] => 1.03440000
            [low] => 1.00320000
            [mfe_pct] => 2.54
            [mae_pct] => 0.56
            [mfe_mae_ratio] => 4.57
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T15:46:41-04:00
            [end_at] => 2025-05-22T21:46:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.02710000
            [high_after] => 1.03440000
            [low_before] => 1.00870000
            [low_after] => 1.00320000
            [is_new_high] => 1
            [is_new_low] => 
        )

)