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Trade

sell - RENDER

Status
win
2025-06-12 10:14:04
1 hour
PNL
0.95
Entry: 3.805
Last: 3.76900000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.3844
Prediction 1 Accuracy
Weak Trade
0.58
Prediction 2 Accuracy
0 0.55
ML Trade Score: 70

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.19
  4. atr: 0.01579808649
Details
  1. score: 1.19
  2. 1H
  3. ema9 - 3.76534
  4. ema21 - 3.81534
  5. ema50 - 3.89569
  6. ema100 - 3.9205
  7. price_ema9_diff - 0.010532
  8. ema9_ema21_diff - -0.0131047
  9. ema21_ema50_diff - -0.0206268
  10. price_ema100_diff - -0.0294617
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.447698
  14. kc_percentage - 0.471011
  15. kc_width_percentage - 0.0537216
  16. volume_ema_diff - -0.0787037
    17. ¸
  17. 15m
  18. ema9 - 3.75669
  19. ema21 - 3.74603
  20. ema50 - 3.77341
  21. ema100 - 3.83592
  22. price_ema9_diff - 0.0128594
  23. ema9_ema21_diff - 0.00284415
  24. ema21_ema50_diff - -0.00725451
  25. price_ema100_diff - -0.00806217
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.628499
  29. kc_percentage - 0.990443
  30. kc_width_percentage - 0.0316472
  31. volume_ema_diff - 0.13387
    32. ¸
  32. 5m
  33. ema9 - 3.77752
  34. ema21 - 3.75978
  35. ema50 - 3.74434
  36. ema100 - 3.74469
  37. price_ema9_diff - 0.00727377
  38. ema9_ema21_diff - 0.00471864
  39. ema21_ema50_diff - 0.00412149
  40. price_ema100_diff - 0.0161028
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.730317
  44. kc_percentage - 1.18598
  45. kc_width_percentage - 0.0168858
  46. volume_ema_diff - -0.216969
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107296
  50. 5m_price_ema100_diff: 0.000754978
  51. 5m_price: 107378
  52. 5m_correlation_with_coin: 0.722562
  53. btc_indicators
  54. 15m_ema100: 108108
  55. 15m_price_ema100_diff: -0.00675762
  56. 15m_price: 107378
  57. btc_indicators
  58. 1H_ema100: 108025
  59. 1H_price_ema100_diff: -0.00599414
  60. 1H_price: 107378
    61. ¸

Short Trade on RENDER

The 12 Jun 2025 at 10:14:04

With 337.6 RENDER at 3.805$ per unit.

Position size of 1285 $

Take profit at 3.769 (0.95 %) and Stop Loss at 3.829 (0.63 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -57.04 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-06-12 10:13:07 0.9904 -100 1
ETHFI 2025-06-12 10:12:56 0.9765 50 1
POPCAT 2025-06-12 10:13:53 0.9748 -100 1
LINK 2025-06-12 10:12:05 0.9565 -13.33 3
PNUT 2025-06-12 10:14:41 0.9654 50 1
SEI 2025-06-12 10:12:21 0.9538 -100 1
OP 2025-06-12 10:11:15 0.9509 -100 1
GRIFFAIN 2025-05-17 07:29:43 0.9463 -100 2
GOAT 2025-05-17 07:15:20 0.9428 -100 1

📌 Time Data

Start at Closed at Duration
12 Jun 2025
10:14:04		 12 Jun 2025
11:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.805 3.829 3.769 1.5 3.163
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 3.805
  • Stop Loss: 3.829
  • Take Profit: 3.769

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.829 - 3.805 = 0.024

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.805 - 3.769 = 0.036

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.036 / 0.024 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1285 100 337.6 12.85
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 0.024

Taille de position = 8 / 0.024 = 333.33

Taille de position USD = 333.33 x 3.805 = 1268.32

Donc, tu peux acheter 333.33 avec un stoploss a 3.829

Avec un position size USD de 1268.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 333.33 x 0.024 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 333.33 x 0.036 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 333.33
  • Taille de position USD 1268.32
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.95 % 12 $
SL % Target SL $ Target
0.63 % 8.1 $
PNL PNL %
12 $ 0.95
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3154 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.757
            [stop_loss] => 3.829
            [rr_ratio] => 2
            [closed_at] => 2025-06-12 11:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.745
            [stop_loss] => 3.829
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-12 11:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.733
            [stop_loss] => 3.829
            [rr_ratio] => 3
            [closed_at] => 2025-06-12 11:50:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.721
            [stop_loss] => 3.829
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-12 11:50:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.709
            [stop_loss] => 3.829
            [rr_ratio] => 4
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.697
            [stop_loss] => 3.829
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.685
            [stop_loss] => 3.829
            [rr_ratio] => 5
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.673
            [stop_loss] => 3.829
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.661
            [stop_loss] => 3.829
            [rr_ratio] => 6
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.649
            [stop_loss] => 3.829
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.637
            [stop_loss] => 3.829
            [rr_ratio] => 7
            [closed_at] => 2025-06-12 13:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)