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Short Trade on OBOL

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Short Trade on OBOL 13 May 2025 at 13:33:07

Take profit at 0.2351 (2.33 %) and Stop Loss at 0.2444 (1.54 %)

Short Trade on OBOL

The 13 May 2025 at 13:33:07

With 2157.2573 OBOL at 0.2407$ per unit.

Position size of 519.2518 $

Take profit at 0.2351 (2.33 %) and Stop Loss at 0.2444 (1.54 %)

That's a 1.51 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 6.81
Prediction Score: -1.4677
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.53
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.348297

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.002472274999
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.238925
  4. ema21 : 0.253512
  5. ema50 : 0.273483
  6. ema100 : 0.28046
  7. price_ema9_diff : 0.00742671
  8. ema9_ema21_diff : -0.0575409
  9. ema21_ema50_diff : -0.0730225
  10. price_ema100_diff : -0.141767
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.356615
  14. kc_percentage : 0.237672
  15. kc_width_percentage : 0.184432
    16. ¸
  16. 15m
  17. ema9 : 0.235576
  18. ema21 : 0.235278
  19. ema50 : 0.242772
  20. ema100 : 0.259379
  21. price_ema9_diff : 0.0217474
  22. ema9_ema21_diff : 0.00126828
  23. ema21_ema50_diff : -0.0308692
  24. price_ema100_diff : -0.0720173
  25. all_emas_in_trend : False
  26. all_emas_and_price_in_trend : False
  27. rsi : 0.591571
  28. kc_percentage : 0.840502
  29. kc_width_percentage : 0.0672288
    30. ¸
  30. 5m
  31. ema9 : 0.237426
  32. ema21 : 0.235581
  33. ema50 : 0.234793
  34. ema100 : 0.235323
  35. price_ema9_diff : 0.0137863
  36. ema9_ema21_diff : 0.00783095
  37. ema21_ema50_diff : 0.00335653
  38. price_ema100_diff : 0.0228459
  39. all_emas_in_trend : True
  40. all_emas_and_price_in_trend : True
  41. rsi : 0.645964
  42. kc_percentage : 1.00265
  43. kc_width_percentage : 0.0415361
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 
    103559
  47. 5m_price_ema100_diff: 
    0.00199745
  48. 5m_price: 
    103765
  49. 5m_correlation_with_coin: 
    0.348297
  50. btc_indicators
  51. 15m_ema100: 
    103062
  52. 15m_price_ema100_diff: 
    0.00682413
  53. 15m_price: 
    103765
  54. btc_indicators
  55. 1H_ema100: 
    103344
  56. 1H_price_ema100_diff: 
    0.0040789
  57. 1H_price: 
    103765
    58. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
13 May 2025
13:33:07		 13 May 2025
14:45:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2407 0.2444 0.2351 1.51 0.0644
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 0.2407
  • Stop Loss: 0.2444
  • Take Profit: 0.2351

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2444 - 0.2407 = 0.0037

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2407 - 0.2351 = 0.0056

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0056 / 0.0037 = 1.5135

📌 Position Size

Amount Margin Quantity Leverage
519.2518 100 2157.2573 5.19
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 0.0037

Taille de position = 8 / 0.0037 = 2162.16

Taille de position USD = 2162.16 x 0.2407 = 520.43

Donc, tu peux acheter 2162.16 avec un stoploss a 0.2444

Avec un position size USD de 520.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2162.16 x 0.0037 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2162.16 x 0.0056 = 12.11

Si Take Profit atteint, tu gagneras 12.11$

Résumé

  • Taille de position 2162.16
  • Taille de position USD 520.43
  • Perte potentielle 8
  • Gain potentiel 12.11
  • Risk-Reward Ratio 1.5135

📌 Peformances

TP % Target TP $ Target
2.33 % 12.08 $
SL % Target SL $ Target
1.54 % 7.98 $
PNL PNL %
12.08 $ 2.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2333
            [stop_loss] => 0.2444
            [rr_ratio] => 2
            [closed_at] => 2025-05-13 15:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.23145
            [stop_loss] => 0.2444
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2296
            [stop_loss] => 0.2444
            [rr_ratio] => 3
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.22775
            [stop_loss] => 0.2444
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2259
            [stop_loss] => 0.2444
            [rr_ratio] => 4
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.22405
            [stop_loss] => 0.2444
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2222
            [stop_loss] => 0.2444
            [rr_ratio] => 5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.22035
            [stop_loss] => 0.2444
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2185
            [stop_loss] => 0.2444
            [rr_ratio] => 6
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.21665
            [stop_loss] => 0.2444
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2148
            [stop_loss] => 0.2444
            [rr_ratio] => 7
            [closed_at] => 2025-05-13 15:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0076
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.24050000
            [low] => 0.23310000
            [mfe_pct] => 3.16
            [mae_pct] => -0.08
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-13T13:33:07-04:00
            [end_at] => 2025-05-13T15:33:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0149
            [max_drawdown] => 0.011
            [rr_ratio] => 1.35
            [high] => 0.25170000
            [low] => 0.22580000
            [mfe_pct] => 6.19
            [mae_pct] => 4.57
            [mfe_mae_ratio] => 1.35
            [candles_analyzed] => 72
            [start_at] => 2025-05-13T13:33:07-04:00
            [end_at] => 2025-05-13T19:33:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.24140000
            [high_after] => 0.25170000
            [low_before] => 0.22620000
            [low_after] => 0.22580000
            [is_new_high] => 
            [is_new_low] => 1
        )

)