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Trade

sell - METIS

Status
win
2025-08-11 22:43:40
36 minutes
PNL
0.81
Entry: 17.72
Last: 17.57680000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.7143
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.7
Prediction 3 Probability
0 0.76
ML Trade Score: 100
ML Pullback Score: 7.37

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.06362808485
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 17.6556
  4. ema21 - 17.9645
  5. ema50 - 18.1863
  6. ema100 - 17.8451
  7. price_ema9_diff - 0.00364739
  8. ema9_ema21_diff - -0.0171979
  9. ema21_ema50_diff - -0.012193
  10. price_ema100_diff - -0.0070145
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423591
  14. adx - 0.215694
  15. kc_percentage - 0.34431
  16. kc_width_percentage - 0.0805485
  17. volume_ema_diff - -0.710941
  18. volume_ema1 - 53515.746952739
  19. volume_ema2 - 185138.36969093
    20. ¸
  20. 15m
  21. ema9 - 17.5328
  22. ema21 - 17.5341
  23. ema50 - 17.7522
  24. ema100 - 18.1413
  25. price_ema9_diff - 0.0106765
  26. ema9_ema21_diff - -7.45265E-5
  27. ema21_ema50_diff - -0.0122885
  28. price_ema100_diff - -0.0232273
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.571626
  32. adx - 0.217565
  33. kc_percentage - 0.871723
  34. kc_width_percentage - 0.0289271
  35. volume_ema_diff - -0.847497
  36. volume_ema1 - 5316.6945404545
  37. volume_ema2 - 34863.013796345
    38. ¸
  38. 5m
  39. ema9 - 17.6153
  40. ema21 - 17.5478
  41. ema50 - 17.5135
  42. ema100 - 17.6116
  43. price_ema9_diff - 0.00594207
  44. ema9_ema21_diff - 0.00384295
  45. ema21_ema50_diff - 0.00196321
  46. price_ema100_diff - 0.00614976
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.651584
  50. adx - 0.267073
  51. kc_percentage - 1.15866
  52. kc_width_percentage - 0.0144072
  53. volume_ema_diff - -0.0207589
  54. volume_ema1 - 3930.5810404191
  55. volume_ema2 - 4013.9053328665
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118982
  59. 5m_price_ema100_diff: 0.00118325
  60. 5m_price: 119122
  61. 5m_correlation_with_coin: 0.660237
  62. btc_indicators
  63. 15m_ema100: 119721
  64. 15m_price_ema100_diff: -0.00483675
  65. 15m_price: 119142
  66. btc_indicators
  67. 1H_ema100: 118557
  68. 1H_price_ema100_diff: 0.00476939
  69. 1H_price: 119122
    70. ¸

Short Trade on METIS

The 11 Aug 2025 at 22:43:40

With 83.8204 METIS at 17.72$ per unit.

Position size of 1485.298 $

Take profit at 17.5768 (0.81 %) and Stop Loss at 17.8154 (0.54 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 49.23 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-08-11 22:43:33 0.9742 60 1
CELO 2025-08-11 22:41:23 0.9708 30 1
ENS 2025-08-11 22:40:30 0.9653 40 1
ACH 2025-08-11 22:41:41 0.9645 60 1
DOGE 2025-08-11 22:38:08 0.9635 50 1
PEOPLE 2025-08-11 22:39:35 0.9613 60 1
EIGEN 2025-08-11 22:44:54 0.9589 40 1
REZ 2025-08-11 22:44:06 0.9589 110 1
SAND 2025-08-11 22:39:19 0.9583 30 1
AVAX 2025-08-11 22:38:58 0.9522 30 1
MANA 2025-08-11 22:39:06 0.9477 30 1
COMP 2025-08-11 22:40:45 0.9457 30 1
ICP 2025-08-11 22:38:20 0.945 70 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
22:43:40		 11 Aug 2025
23:20:00		 36 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
17.72 17.8154 17.5768 1.5 17.96
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 17.72
  • Stop Loss: 17.8154
  • Take Profit: 17.5768

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 17.8154 - 17.72 = 0.095400000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 17.72 - 17.5768 = 0.1432

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.1432 / 0.095400000000001 = 1.501

📌 Position Size

Amount Margin Quantity Leverage
1485.298 100 83.8204 14.85
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 0.095400000000001

Taille de position = 8 / 0.095400000000001 = 83.86

Taille de position USD = 83.86 x 17.72 = 1486

Donc, tu peux acheter 83.86 avec un stoploss a 17.8154

Avec un position size USD de 1486$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 83.86 x 0.095400000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 83.86 x 0.1432 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position 83.86
  • Taille de position USD 1486
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.501

📌 Peformances

TP % Target TP $ Target
0.81 % 12 $
SL % Target SL $ Target
0.54 % 8 $
PNL PNL %
12 $ 0.81
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1693 % 31.45 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 17.5292
            [stop_loss] => 17.8154
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 23:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 17.4815
            [stop_loss] => 17.8154
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-12 01:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 17.4338
            [stop_loss] => 17.8154
            [rr_ratio] => 3
            [closed_at] => 2025-08-12 01:20:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 17.3861
            [stop_loss] => 17.8154
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 01:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 17.3384
            [stop_loss] => 17.8154
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 02:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 17.2907
            [stop_loss] => 17.8154
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 17.243
            [stop_loss] => 17.8154
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.22
            [max_drawdown] => 0.040000000000003
            [rr_ratio] => 5.5
            [high] => 17.76000000
            [low] => 17.50000000
            [mfe_pct] => 1.24
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 5.5
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T22:43:40-04:00
            [end_at] => 2025-08-12T00:43:40-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.48
            [max_drawdown] => 0.07
            [rr_ratio] => 6.86
            [high] => 17.79000000
            [low] => 17.24000000
            [mfe_pct] => 2.71
            [mae_pct] => 0.4
            [mfe_mae_ratio] => 6.86
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T22:43:40-04:00
            [end_at] => 2025-08-12T05:43:40-04:00
        )

    [breakout] => Array
        (
            [high_before] => 17.78000000
            [high_after] => 17.79000000
            [low_before] => 17.19000000
            [low_after] => 17.24000000
            [is_new_high] => 
            [is_new_low] => 
        )

)