Trade

sell - CHESS

Status
win
2025-07-05 09:41:24
13 minutes
PNL
1.52
Entry: 0.07942
Last: 0.07821000

Results

Status:
win
Trade Type:
sell
Prediction Score: 0.7969
Prediction 1 Accuracy
Strong Trade
0.57
Prediction 2 Accuracy
0 0.39
ML Trade Score: 140

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.000536413054
Details
  1. score: 1.22
  2. 1H
  3. ema9 - 0.0787004
  4. ema21 - 0.0817488
  5. ema50 - 0.0848523
  6. ema100 - 0.084884
  7. price_ema9_diff - 0.00914267
  8. ema9_ema21_diff - -0.0372892
  9. ema21_ema50_diff - -0.0365753
  10. price_ema100_diff - -0.0643712
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.374385
  14. kc_percentage - 0.251947
  15. kc_width_percentage - 0.107115
  16. volume_ema_diff - -0.334871
  17. volume_ema1 - 157183.67911578
  18. volume_ema2 - 236320.61407668
  19. ¸
  20. 15m
  21. ema9 - 0.0775437
  22. ema21 - 0.0775554
  23. ema50 - 0.0795734
  24. ema100 - 0.0824005
  25. price_ema9_diff - 0.024196
  26. ema9_ema21_diff - -0.000150566
  27. ema21_ema50_diff - -0.025361
  28. price_ema100_diff - -0.036171
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.525266
  32. kc_percentage - 1.02088
  33. kc_width_percentage - 0.0460517
  34. volume_ema_diff - -0.272245
  35. volume_ema1 - 36643.934855622
  36. volume_ema2 - 50352.071325701
  37. ¸
  38. 5m
  39. ema9 - 0.0783579
  40. ema21 - 0.0777504
  41. ema50 - 0.0774072
  42. ema100 - 0.0779622
  43. price_ema9_diff - 0.0135532
  44. ema9_ema21_diff - 0.00781419
  45. ema21_ema50_diff - 0.00443337
  46. price_ema100_diff - 0.0186975
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.732716
  50. kc_percentage - 1.21965
  51. kc_width_percentage - 0.0286406
  52. volume_ema_diff - 0.182214
  53. volume_ema1 - 16387.352085536
  54. volume_ema2 - 13861.568345646
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 108044
  59. 5m_price_ema100_diff: 0.000184537
  60. 5m_price: 108064
  61. 5m_correlation_with_coin: 0.225021
  62. btc_indicators
  63. 15m_ema100: 108081
  64. 15m_price_ema100_diff: 3.81108E-5
  65. 15m_price: 108085
  66. btc_indicators
  67. 1H_ema100: 108059
  68. 1H_price_ema100_diff: 4.77873E-5
  69. 1H_price: 108064
  70. ¸

Short Trade on CHESS

The 05 Jul 2025 at 09:41:24

With 9943 CHESS at 0.07942$ per unit.

Position size of 789.6 $

Take profit at 0.07821 (1.5 %) and Stop Loss at 0.08022 (1 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.36 %

Symbol Start at Seach Score Trade Score Trades Count
BSW 2025-04-03 11:37:05 0.9772 -57.5 4
ATH 2025-07-04 20:21:52 0.9781 -100 1
BANANAS31 2025-06-26 23:14:56 0.9747 -10 3
TRUMP 2025-05-29 18:03:12 0.9739 50 1
MUBARAK 2025-03-29 07:03:50 0.9734 60 1
AI16Z 2025-05-29 18:21:21 0.9732 30 1
UNI 2025-07-04 18:43:45 0.9726 30 1

📌 Time Data

Start at Closed at Duration
05 Jul 2025
09:41:24
05 Jul 2025
09:55:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.07942 0.08022 0.07821 1.5 0.0624
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 0.07942
  • Stop Loss: 0.08022
  • Take Profit: 0.07821

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.08022 - 0.07942 = 0.0008

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.07942 - 0.07821 = 0.00121

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00121 / 0.0008 = 1.5125

📌 Position Size

Amount Margin Quantity Leverage
789.6 100 9943 7.90
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 0.0008

Taille de position = 8 / 0.0008 = 10000

Taille de position USD = 10000 x 0.07942 = 794.2

Donc, tu peux acheter 10000 avec un stoploss a 0.08022

Avec un position size USD de 794.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.0008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.00121 = 12.1

Si Take Profit atteint, tu gagneras 12.1$

Résumé

  • Taille de position 10000
  • Taille de position USD 794.2
  • Perte potentielle 8
  • Gain potentiel 12.1
  • Risk-Reward Ratio 1.5125

📌 Peformances

TP % Target TP $ Target
1.5 % 12 $
SL % Target SL $ Target
1 % 8 $
PNL PNL %
12 $ 1.52
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2392 % 23.75 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07782
            [stop_loss] => 0.08022
            [rr_ratio] => 2
            [closed_at] => 2025-07-05 10:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.07742
            [stop_loss] => 0.08022
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-05 10:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07702
            [stop_loss] => 0.08022
            [rr_ratio] => 3
            [closed_at] => 2025-07-05 10:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.07662
            [stop_loss] => 0.08022
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.07622
            [stop_loss] => 0.08022
            [rr_ratio] => 4
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.07582
            [stop_loss] => 0.08022
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.07542
            [stop_loss] => 0.08022
            [rr_ratio] => 5
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.07502
            [stop_loss] => 0.08022
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.07462
            [stop_loss] => 0.08022
            [rr_ratio] => 6
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 0.07422
            [stop_loss] => 0.08022
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 0.07382
            [stop_loss] => 0.08022
            [rr_ratio] => 7
            [closed_at] => 2025-07-05 13:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)