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Trade

sell - ESPORTS

Status
win
2025-08-11 20:53:08
1 hour
PNL
1.32
Entry: 0.1359
Last: 0.13410000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.3455
Prediction 1 Probability
Weak Trade
0.8
Prediction 2 Probability
0 0.45
Prediction 3 Probability
1 0.56
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: 0.16
  4. atr: 0.0008045543147
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.135876
  4. ema21 - 0.138212
  5. ema50 - 0.139879
  6. ema100 - 0.139915
  7. price_ema9_diff - 0.000321708
  8. ema9_ema21_diff - -0.0168995
  9. ema21_ema50_diff - -0.0119244
  10. price_ema100_diff - -0.0285573
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.440011
  14. adx - 0.153361
  15. kc_percentage - 0.348279
  16. kc_width_percentage - 0.104375
  17. volume_ema_diff - -0.401634
  18. volume_ema1 - 239348.50083498
  19. volume_ema2 - 400004.13880805
    20. ¸
  20. 15m
  21. ema9 - 0.133991
  22. ema21 - 0.134771
  23. ema50 - 0.136748
  24. ema100 - 0.138422
  25. price_ema9_diff - 0.0143955
  26. ema9_ema21_diff - -0.00578971
  27. ema21_ema50_diff - -0.014457
  28. price_ema100_diff - -0.0180801
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.525392
  32. adx - 0.338406
  33. kc_percentage - 0.717368
  34. kc_width_percentage - 0.0417797
  35. volume_ema_diff - -0.684848
  36. volume_ema1 - 25474.552452276
  37. volume_ema2 - 80832.653013452
    38. ¸
  38. 5m
  39. ema9 - 0.134492
  40. ema21 - 0.133792
  41. ema50 - 0.134352
  42. ema100 - 0.136049
  43. price_ema9_diff - 0.010617
  44. ema9_ema21_diff - 0.00522576
  45. ema21_ema50_diff - -0.00416694
  46. price_ema100_diff - -0.000949012
  47. all_emas_in_trend - False
  48. all_emas_and_price_in_trend - False
  49. rsi - 0.713699
  50. adx - 0.283232
  51. kc_percentage - 1.15551
  52. kc_width_percentage - 0.0236566
  53. volume_ema_diff - -0.470022
  54. volume_ema1 - 9352.7350691154
  55. volume_ema2 - 17647.417019592
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 119070
  59. 5m_price_ema100_diff: -0.00214972
  60. 5m_price: 118814
  61. 5m_correlation_with_coin: 0.311823
  62. btc_indicators
  63. 15m_ema100: 119698
  64. 15m_price_ema100_diff: -0.00747114
  65. 15m_price: 118804
  66. btc_indicators
  67. 1H_ema100: 118486
  68. 1H_price_ema100_diff: 0.00276523
  69. 1H_price: 118814
    70. ¸

Short Trade on ESPORTS

The 11 Aug 2025 at 20:53:08

With 6628.9289 ESPORTS at 0.1359$ per unit.

Position size of 901.004 $

Take profit at 0.1341 (1.32 %) and Stop Loss at 0.1371 (0.88 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -88.18 %

Symbol Start at Seach Score Trade Score Trades Count
ETC 2025-08-11 21:07:07 0.905 -100 1
ATOM 2025-08-11 21:02:54 0.8871 -100 2
PEOPLE 2025-08-11 21:03:34 0.8848 30 2
DOG 2025-05-25 10:31:41 0.885 -100 1
MANA 2025-08-11 20:58:27 0.8778 -100 1
AVAX 2025-08-11 21:03:05 0.867 -100 2
POL 2025-08-11 20:29:02 0.8713 -100 1
ONDO 2025-08-11 21:01:54 0.8707 -100 1
APE 2025-08-11 20:59:20 0.8702 -100 1
ENS 2025-08-11 20:59:33 0.8685 -100 1
BOME 2025-08-11 21:10:59 0.8677 -100 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
20:53:08		 11 Aug 2025
22:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1359 0.1371 0.1341 1.5 0.08663
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 0.1359
  • Stop Loss: 0.1371
  • Take Profit: 0.1341

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1371 - 0.1359 = 0.0012

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1359 - 0.1341 = 0.0018

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0018 / 0.0012 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
901.004 100 6628.9289 9.01
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 0.0012

Taille de position = 8 / 0.0012 = 6666.67

Taille de position USD = 6666.67 x 0.1359 = 906

Donc, tu peux acheter 6666.67 avec un stoploss a 0.1371

Avec un position size USD de 906$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 6666.67 x 0.0012 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 6666.67 x 0.0018 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 6666.67
  • Taille de position USD 906
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.32 % 11.93 $
SL % Target SL $ Target
0.88 % 7.95 $
PNL PNL %
11.93 $ 1.32
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1104 % 12.5 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1335
            [stop_loss] => 0.1371
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 22:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1329
            [stop_loss] => 0.1371
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 23:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1323
            [stop_loss] => 0.1371
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 23:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1317
            [stop_loss] => 0.1371
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-12 01:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1311
            [stop_loss] => 0.1371
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 01:15:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.1305
            [stop_loss] => 0.1371
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 01:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1299
            [stop_loss] => 0.1371
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 02:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1293
            [stop_loss] => 0.1371
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00253
            [max_drawdown] => 0.00015000000000001
            [rr_ratio] => 16.87
            [high] => 0.13605000
            [low] => 0.13337000
            [mfe_pct] => 1.86
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 16.87
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T20:53:08-04:00
            [end_at] => 2025-08-11T22:53:08-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00717
            [max_drawdown] => 0.00015000000000001
            [rr_ratio] => 47.8
            [high] => 0.13605000
            [low] => 0.12873000
            [mfe_pct] => 5.28
            [mae_pct] => 0.11
            [mfe_mae_ratio] => 47.8
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T20:53:08-04:00
            [end_at] => 2025-08-12T03:53:08-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.13810000
            [high_after] => 0.13605000
            [low_before] => 0.13076000
            [low_after] => 0.12873000
            [is_new_high] => 
            [is_new_low] => 1
        )

)