Short Trade on ADA 11 Aug 2025 at 22:37:44

Take profit at 0.7838 (0.53 %) and Stop Loss at 0.7908 (0.36 %)

Short Trade on ADA

The 11 Aug 2025 at 22:37:44

With 2889.0943 ADA at 0.788$ per unit.

Position size of 2276.6063 $

Take profit at 0.7838 (0.53 %) and Stop Loss at 0.7908 (0.36 %)

That's a 1.5 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 120
ML Pullback Score: 8
Prediction Score: 1.9167
Prediction 1 Probability
Strong Trade
0.52
Prediction 2 Probability
1 0.68
Prediction 3 Probability
1 0.52
BTC Market Regime Coin Market Regime
BTC Correlation Score

5m : 0.795208

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.001846022596
Details
  1. score: 1.28
  2. 1H
  3. ema9 : 0.783281
  4. ema21 : 0.789888
  5. ema50 : 0.796872
  6. ema100 : 0.797984
  7. price_ema9_diff : 0.00602412
  8. ema9_ema21_diff : -0.00836441
  9. ema21_ema50_diff : -0.00876427
  10. price_ema100_diff : -0.0125118
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. rsi : 0.466229
  14. adx : 0.247388
  15. kc_percentage : 0.463986
  16. kc_width_percentage : 0.0500417
  17. volume_ema_diff : -0.549084
  18. volume_ema1 : 3682377.2303449
  19. volume_ema2 : 8166444.409292
  20. ¸
  21. 15m
  22. ema9 : 0.782195
  23. ema21 : 0.780574
  24. ema50 : 0.785
  25. ema100 : 0.792812
  26. price_ema9_diff : 0.00742121
  27. ema9_ema21_diff : 0.00207621
  28. ema21_ema50_diff : -0.00563847
  29. price_ema100_diff : -0.00607037
  30. all_emas_in_trend : False
  31. all_emas_and_price_in_trend : False
  32. rsi : 0.631306
  33. adx : 0.261569
  34. kc_percentage : 1.01226
  35. kc_width_percentage : 0.0184647
  36. volume_ema_diff : -0.629971
  37. volume_ema1 : 583539.73245715
  38. volume_ema2 : 1577011.3137133
  39. ¸
  40. 5m
  41. ema9 : 0.784575
  42. ema21 : 0.782277
  43. ema50 : 0.779975
  44. ema100 : 0.780769
  45. price_ema9_diff : 0.00436489
  46. ema9_ema21_diff : 0.00293801
  47. ema21_ema50_diff : 0.00295129
  48. price_ema100_diff : 0.00926113
  49. all_emas_in_trend : True
  50. all_emas_and_price_in_trend : True
  51. rsi : 0.708105
  52. adx : 0.262456
  53. kc_percentage : 1.27928
  54. kc_width_percentage : 0.00906186
  55. volume_ema_diff : -0.315288
  56. volume_ema1 : 214454.62226738
  57. volume_ema2 : 313204.52121066
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100:
    118977
  62. 5m_price_ema100_diff:
    0.0018304
  63. 5m_price:
    119195
  64. 5m_correlation_with_coin:
    0.795208
  65. btc_indicators
  66. 15m_ema100:
    119721
  67. 15m_price_ema100_diff:
    -0.00483675
  68. 15m_price:
    119142
  69. btc_indicators
  70. 1H_ema100:
    118558
  71. 1H_price_ema100_diff:
    0.00537122
  72. 1H_price:
    119195
  73. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
11 Aug 2025
22:37:44
11 Aug 2025
23:00:00
22 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.788 0.7908 0.7838 1.5 0.2717
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 0.788
  • Stop Loss: 0.7908
  • Take Profit: 0.7838

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.7908 - 0.788 = 0.0027999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.788 - 0.7838 = 0.0042

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0042 / 0.0027999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2276.6063 100 2889.0943 22.77
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 0.0027999999999999

Taille de position = 8 / 0.0027999999999999 = 2857.14

Taille de position USD = 2857.14 x 0.788 = 2251.43

Donc, tu peux acheter 2857.14 avec un stoploss a 0.7908

Avec un position size USD de 2251.43$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 2857.14 x 0.0027999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 2857.14 x 0.0042 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 2857.14
  • Taille de position USD 2251.43
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.53 % 12.13 $
SL % Target SL $ Target
0.36 % 8.09 $
PNL PNL %
12.13 $ 0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.7824
            [stop_loss] => 0.7908
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 23:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.781
            [stop_loss] => 0.7908
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 23:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.7796
            [stop_loss] => 0.7908
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 23:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.7782
            [stop_loss] => 0.7908
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-11 23:15:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.7768
            [stop_loss] => 0.7908
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 01:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.7754
            [stop_loss] => 0.7908
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 01:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.774
            [stop_loss] => 0.7908
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 01:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.7726
            [stop_loss] => 0.7908
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.7712
            [stop_loss] => 0.7908
            [rr_ratio] => 6
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0101
            [max_drawdown] => 0.00069999999999992
            [rr_ratio] => 14.43
            [high] => 0.78870000
            [low] => 0.77790000
            [mfe_pct] => 1.28
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 14.43
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T22:37:44-04:00
            [end_at] => 2025-08-12T00:37:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0169
            [max_drawdown] => 0.00069999999999992
            [rr_ratio] => 24.14
            [high] => 0.78870000
            [low] => 0.77110000
            [mfe_pct] => 2.14
            [mae_pct] => 0.09
            [mfe_mae_ratio] => 24.14
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T22:37:44-04:00
            [end_at] => 2025-08-12T05:37:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.78810000
            [high_after] => 0.78870000
            [low_before] => 0.76960000
            [low_after] => 0.77110000
            [is_new_high] => 
            [is_new_low] => 
        )

)