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Trade

sell - MKR

Status
win
2025-06-19 19:21:33
8 minutes
PNL
0.68
Entry: 1922
Last: 1909.00000000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.2648
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 5.731691983
Details
  1. score: 1.08
  2. 1H
  3. ema9 - 1918.04
  4. ema21 - 1940.83
  5. ema50 - 1980.04
  6. ema100 - 2021.66
  7. price_ema9_diff - 0.00206284
  8. ema9_ema21_diff - -0.0117416
  9. ema21_ema50_diff - -0.0198059
  10. price_ema100_diff - -0.049298
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.43285
  14. kc_percentage - 0.362305
  15. kc_width_percentage - 0.0652559
  16. volume_ema_diff - -0.341204
    17. ¸
  17. 15m
  18. ema9 - 1909.69
  19. ema21 - 1910.27
  20. ema50 - 1929.59
  21. ema100 - 1949.9
  22. price_ema9_diff - 0.00644584
  23. ema9_ema21_diff - -0.000305812
  24. ema21_ema50_diff - -0.0100124
  25. price_ema100_diff - -0.0143133
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.563939
  29. kc_percentage - 0.745976
  30. kc_width_percentage - 0.0258803
  31. volume_ema_diff - -0.737201
    32. ¸
  32. 5m
  33. ema9 - 1914.56
  34. ema21 - 1909.05
  35. ema50 - 1907.39
  36. ema100 - 1915.28
  37. price_ema9_diff - 0.00388093
  38. ema9_ema21_diff - 0.00288671
  39. ema21_ema50_diff - 0.000873887
  40. price_ema100_diff - 0.00350517
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.665636
  44. kc_percentage - 1.07737
  45. kc_width_percentage - 0.0113932
  46. volume_ema_diff - -0.773188
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 104342
  50. 5m_price_ema100_diff: 0.00390396
  51. 5m_price: 104750
  52. 5m_correlation_with_coin: 0.651404
  53. btc_indicators
  54. 15m_ema100: 104552
  55. 15m_price_ema100_diff: 0.00200175
  56. 15m_price: 104762
  57. btc_indicators
  58. 1H_ema100: 104958
  59. 1H_price_ema100_diff: -0.00198707
  60. 1H_price: 104750
    61. ¸

Short Trade on MKR

The 19 Jun 2025 at 19:21:33

With 0.9305 MKR at 1922$ per unit.

Position size of 1788.419 $

Take profit at 1909.1037 (0.67 %) and Stop Loss at 1930.5975 (0.45 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.73 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-07-19 14:40:00 0.9616 30 1
DOGE 2025-06-09 05:30:40 0.9589 -100 1
STX 2025-06-26 16:39:53 0.9571 -35 2
FIS 2025-08-02 19:50:26 0.9566 30 1
NEIROCTO 2025-07-05 17:34:11 0.9555 -100 2
POL 2025-04-27 15:50:47 0.9562 30 1
ATH 2025-06-26 16:38:38 0.9549 30 1
POPCAT 2025-05-19 09:56:52 0.9537 40 1
ARKM 2025-08-15 18:16:48 0.9508 -100 2
NEAR 2025-05-03 01:18:33 0.9497 30 1
SAHARA 2025-08-05 19:24:21 0.949 60 1

📌 Time Data

Start at Closed at Duration
19 Jun 2025
19:21:33		 19 Jun 2025
19:30:00		 8 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1922 1930.5975 1909.1037 1.5 1602.2
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 1922
  • Stop Loss: 1930.5975
  • Take Profit: 1909.1037

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1930.5975 - 1922 = 8.5975000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 1922 - 1909.1037 = 12.8963

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 12.8963 / 8.5975000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1788.419 100 0.9305 17.88
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 8.5975000000001

Taille de position = 8 / 8.5975000000001 = 0.93

Taille de position USD = 0.93 x 1922 = 1787.46

Donc, tu peux acheter 0.93 avec un stoploss a 1930.5975

Avec un position size USD de 1787.46$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.93 x 8.5975000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.93 x 12.8963 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 0.93
  • Taille de position USD 1787.46
  • Perte potentielle 8
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.67 % 12 $
SL % Target SL $ Target
0.45 % 8 $
PNL PNL %
12.1 $ 0.68
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0104 % 2.22 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1904
            [stop_loss] => 1931
            [rr_ratio] => 2
            [closed_at] => 2025-06-19 20:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1899.5
            [stop_loss] => 1931
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-19 21:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1895
            [stop_loss] => 1931
            [rr_ratio] => 3
            [closed_at] => 2025-06-19 21:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1890.5
            [stop_loss] => 1931
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-19 23:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1886
            [stop_loss] => 1931
            [rr_ratio] => 4
            [closed_at] => 2025-06-19 23:50:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1881.5
            [stop_loss] => 1931
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-20 00:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1877
            [stop_loss] => 1931
            [rr_ratio] => 5
            [closed_at] => 2025-06-20 00:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1872.5
            [stop_loss] => 1931
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-20 00:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 1868
            [stop_loss] => 1931
            [rr_ratio] => 6
            [closed_at] => 2025-06-20 00:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 28.6
            [max_drawdown] => 2.2
            [rr_ratio] => 13
            [high] => 1924.20000000
            [low] => 1893.40000000
            [mfe_pct] => 1.49
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 13
            [candles_analyzed] => 24
            [start_at] => 2025-06-19T19:21:33-04:00
            [end_at] => 2025-06-19T21:21:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 54.5
            [max_drawdown] => 2.2
            [rr_ratio] => 24.77
            [high] => 1924.20000000
            [low] => 1867.50000000
            [mfe_pct] => 2.84
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 24.77
            [candles_analyzed] => 72
            [start_at] => 2025-06-19T19:21:33-04:00
            [end_at] => 2025-06-20T01:21:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1925.10000000
            [high_after] => 1924.20000000
            [low_before] => 1877.00000000
            [low_after] => 1867.50000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)