Trade

sell - MKR

Status
win
2025-08-18 18:11:15
28 minutes
PNL
0.91
Entry: 1750.4
Last: 1734.53640000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.2583
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.62
Prediction 3 Probability
0 0.73
ML Trade Score: 110
ML Pullback Score: 10

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.24
  4. atr: 7.050510107
Details
  1. score: 1.24
  2. 1H
  3. ema9 - 1733.25
  4. ema21 - 1751.71
  5. ema50 - 1780.74
  6. ema100 - 1802.23
  7. price_ema9_diff - 0.00989202
  8. ema9_ema21_diff - -0.010539
  9. ema21_ema50_diff - -0.0163043
  10. price_ema100_diff - -0.02876
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.462908
  14. adx - 0.387205
  15. kc_percentage - 0.502446
  16. kc_width_percentage - 0.0551001
  17. volume_ema_diff - -0.189577
  18. volume_ema1 - 251090.92323389
  19. volume_ema2 - 309827.03059186
  20. ¸
  21. 15m
  22. ema9 - 1728.97
  23. ema21 - 1725.06
  24. ema50 - 1735.85
  25. ema100 - 1760
  26. price_ema9_diff - 0.01239
  27. ema9_ema21_diff - 0.00226633
  28. ema21_ema50_diff - -0.00621677
  29. price_ema100_diff - -0.00545763
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.62973
  33. adx - 0.209102
  34. kc_percentage - 0.939111
  35. kc_width_percentage - 0.0330118
  36. volume_ema_diff - 0.118751
  37. volume_ema1 - 101514.5462571
  38. volume_ema2 - 90739.129220307
  39. ¸
  40. 5m
  41. ema9 - 1734.97
  42. ema21 - 1728.33
  43. ema50 - 1723.67
  44. ema100 - 1725.35
  45. price_ema9_diff - 0.00888949
  46. ema9_ema21_diff - 0.00384016
  47. ema21_ema50_diff - 0.00270453
  48. price_ema100_diff - 0.0145141
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.74831
  52. adx - 0.2383
  53. kc_percentage - 1.24214
  54. kc_width_percentage - 0.0167127
  55. volume_ema_diff - 0.508804
  56. volume_ema1 - 42455.289974357
  57. volume_ema2 - 28138.367699208
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 116086
  62. 5m_price_ema100_diff: 0.00700521
  63. 5m_price: 116900
  64. 5m_correlation_with_coin: 0.593551
  65. btc_indicators
  66. 15m_ema100: 116137
  67. 15m_price_ema100_diff: 0.00656378
  68. 15m_price: 116900
  69. btc_indicators
  70. 1H_ema100: 117069
  71. 1H_price_ema100_diff: -0.00145072
  72. 1H_price: 116900
  73. ¸

Short Trade on MKR

The 18 Aug 2025 at 18:11:15

With 0.7564 MKR at 1750.4$ per unit.

Position size of 1324.0839 $

Take profit at 1734.5364 (0.91 %) and Stop Loss at 1760.9758 (0.6 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -66.79 %

Symbol Start at Seach Score Trade Score Trades Count
PYTH 2025-05-20 19:22:35 0.9478 2.5 4
TRB 2025-05-31 01:41:48 0.9437 -100 4
ZRO 2025-06-04 20:38:38 0.9438 -100 1
MOVE 2025-07-05 18:51:04 0.9415 -100 1
OP 2025-05-13 03:21:49 0.9409 30 1
PARTI 2025-05-31 00:44:03 0.9401 -100 1
KAIA 2025-08-01 07:49:35 0.9381 -100 1

📌 Time Data

Start at Closed at Duration
18 Aug 2025
18:11:15
18 Aug 2025
18:40:00
28 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1750.4 1760.9758 1734.5364 1.5 1585.5
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 1750.4
  • Stop Loss: 1760.9758
  • Take Profit: 1734.5364

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1760.9758 - 1750.4 = 10.5758

  • Récompense (distance jusqu'au take profit):

    E - TP = 1750.4 - 1734.5364 = 15.8636

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 15.8636 / 10.5758 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1324.0839 100 0.7564 13.24
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 10.5758

Taille de position = 8 / 10.5758 = 0.76

Taille de position USD = 0.76 x 1750.4 = 1330.3

Donc, tu peux acheter 0.76 avec un stoploss a 1760.9758

Avec un position size USD de 1330.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 0.76 x 10.5758 = 8.04

Si Stop Loss atteint, tu perdras 8.04$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 0.76 x 15.8636 = 12.06

Si Take Profit atteint, tu gagneras 12.06$

Résumé

  • Taille de position 0.76
  • Taille de position USD 1330.3
  • Perte potentielle 8.04
  • Gain potentiel 12.06
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.91 % 12 $
SL % Target SL $ Target
0.6 % 8 $
PNL PNL %
12 $ 0.91
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.0686 % 11.35 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1729.2484
            [stop_loss] => 1760.9758
            [rr_ratio] => 2
            [closed_at] => 2025-08-18 18:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1723.9605
            [stop_loss] => 1760.9758
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-18 19:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1718.6726
            [stop_loss] => 1760.9758
            [rr_ratio] => 3
            [closed_at] => 2025-08-18 19:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1713.3847
            [stop_loss] => 1760.9758
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-18 19:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 1708.0968
            [stop_loss] => 1760.9758
            [rr_ratio] => 4
            [closed_at] => 2025-08-18 20:25:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 1702.8089
            [stop_loss] => 1760.9758
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-18 20:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 1697.521
            [stop_loss] => 1760.9758
            [rr_ratio] => 5
            [closed_at] => 2025-08-18 20:30:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 1692.2331
            [stop_loss] => 1760.9758
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-19 00:05:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 40.9
            [max_drawdown] => 1.1999999999998
            [rr_ratio] => 34.08
            [high] => 1751.60000000
            [low] => 1709.50000000
            [mfe_pct] => 2.34
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 34.08
            [candles_analyzed] => 24
            [start_at] => 2025-08-18T18:11:15-04:00
            [end_at] => 2025-08-18T20:11:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 62.5
            [max_drawdown] => 1.1999999999998
            [rr_ratio] => 52.08
            [high] => 1751.60000000
            [low] => 1687.90000000
            [mfe_pct] => 3.57
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 52.08
            [candles_analyzed] => 84
            [start_at] => 2025-08-18T18:11:15-04:00
            [end_at] => 2025-08-19T01:11:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1753.70000000
            [high_after] => 1751.60000000
            [low_before] => 1692.30000000
            [low_after] => 1688.90000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)