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Trade

buy - RENDER

Status
win
2025-07-03 07:27:50
57 minutes
PNL
0.72
Entry: 3.345
Last: 3.36900000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.2905
Prediction 1 Accuracy
Strong Trade
0.68
Prediction 2 Accuracy
1 0.43
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01075247362
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 3.36176
  4. ema21 - 3.31794
  5. ema50 - 3.25498
  6. ema100 - 3.23476
  7. price_ema9_diff - -0.00498831
  8. ema9_ema21_diff - 0.0132084
  9. ema21_ema50_diff - 0.019344
  10. price_ema100_diff - 0.034077
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.578433
  14. kc_percentage - 0.644578
  15. kc_width_percentage - 0.0485539
  16. volume_ema_diff - 0.0124525
  17. volume_ema1 - 583988.09820554
  18. volume_ema2 - 576805.41962827
    19. ¸
  19. 15m
  20. ema9 - 3.37437
  21. ema21 - 3.37786
  22. ema50 - 3.35096
  23. ema100 - 3.30742
  24. price_ema9_diff - -0.00870527
  25. ema9_ema21_diff - -0.00103375
  26. ema21_ema50_diff - 0.00802706
  27. price_ema100_diff - 0.0113621
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.424791
  31. kc_percentage - 0.107683
  32. kc_width_percentage - 0.0254499
  33. volume_ema_diff - 0.14322
  34. volume_ema1 - 193664.53829178
  35. volume_ema2 - 169402.5544454
    36. ¸
  36. 5m
  37. ema9 - 3.35622
  38. ema21 - 3.36944
  39. ema50 - 3.3784
  40. ema100 - 3.36667
  41. price_ema9_diff - -0.003345
  42. ema9_ema21_diff - -0.00392408
  43. ema21_ema50_diff - -0.00265251
  44. price_ema100_diff - -0.00643941
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.327777
  48. kc_percentage - -0.074669
  49. kc_width_percentage - 0.0122726
  50. volume_ema_diff - -0.163156
  51. volume_ema1 - 48346.925604547
  52. volume_ema2 - 57772.92526969
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109373
  56. 5m_price_ema100_diff: 0.00228196
  57. 5m_price: 109622
  58. 5m_correlation_with_coin: 0.769839
  59. btc_indicators
  60. 15m_ema100: 108948
  61. 15m_price_ema100_diff: 0.00662925
  62. 15m_price: 109670
  63. btc_indicators
  64. 1H_ema100: 107823
  65. 1H_price_ema100_diff: 0.0166887
  66. 1H_price: 109622
    67. ¸

Long Trade on RENDER

The 03 Jul 2025 at 07:27:50

With 496 RENDER at 3.345$ per unit.

Position size of 1659 $

Take profit at 3.369 (0.72 %) and Stop Loss at 3.329 (0.48 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -55 %

Symbol Start at Seach Score Trade Score Trades Count
TON 2025-07-03 07:25:45 0.9454 40 1
NEAR 2025-07-03 07:18:52 0.9435 -30 2
ENA 2025-04-09 19:34:58 0.9415 -100 4
LTC 2025-04-09 19:27:01 0.9388 -100 2
AVAX 2025-07-03 07:12:47 0.9387 -100 1
LEVER 2025-06-30 08:42:52 0.9384 -100 1
ONDO 2025-04-09 19:27:55 0.9384 5 2

📌 Time Data

Start at Closed at Duration
03 Jul 2025
07:27:50		 03 Jul 2025
08:25:00		 57 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.345 3.329 3.369 1.5 3.235
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 3.345
  • Stop Loss: 3.329
  • Take Profit: 3.369

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.329 - 3.345 = -0.016

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.345 - 3.369 = -0.024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.024 / -0.016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1659 100 496 16.59
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 -0.016

Taille de position = 8 / -0.016 = -500

Taille de position USD = -500 x 3.345 = -1672.5

Donc, tu peux acheter -500 avec un stoploss a 3.329

Avec un position size USD de -1672.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -500 x -0.016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -500 x -0.024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -500
  • Taille de position USD -1672.5
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.72 % 12 $
SL % Target SL $ Target
0.48 % 7.9 $
PNL PNL %
12 $ 0.72
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3288 % 68.74 % 6

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.377
            [stop_loss] => 3.329
            [rr_ratio] => 2
            [closed_at] => 2025-07-03 08:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.385
            [stop_loss] => 3.329
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-03 08:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.393
            [stop_loss] => 3.329
            [rr_ratio] => 3
            [closed_at] => 2025-07-03 08:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.401
            [stop_loss] => 3.329
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.409
            [stop_loss] => 3.329
            [rr_ratio] => 4
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.417
            [stop_loss] => 3.329
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.425
            [stop_loss] => 3.329
            [rr_ratio] => 5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.433
            [stop_loss] => 3.329
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.441
            [stop_loss] => 3.329
            [rr_ratio] => 6
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.449
            [stop_loss] => 3.329
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.457
            [stop_loss] => 3.329
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 08:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)