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Trade

sell - RENDER

Status
win
2025-07-07 19:53:28
16 minutes
PNL
0.41
Entry: 3.156
Last: 3.14300000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.1778
Prediction 1 Accuracy
Weak Trade
0.51
Prediction 2 Accuracy
0 0.45
ML Trade Score: 40

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.09
  4. atr: 0.005617933919
Details
  1. score: 1.09
  2. 1H
  3. ema9 - 3.15234
  4. ema21 - 3.17322
  5. ema50 - 3.1863
  6. ema100 - 3.20295
  7. price_ema9_diff - 0.00115801
  8. ema9_ema21_diff - -0.00657966
  9. ema21_ema50_diff - -0.0041053
  10. price_ema100_diff - -0.0146605
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.445199
  14. kc_percentage - 0.37922
  15. kc_width_percentage - 0.0422078
  16. volume_ema_diff - -0.221904
  17. volume_ema1 - 238620.8216226
  18. volume_ema2 - 306673.08544424
    19. ¸
  19. 15m
  20. ema9 - 3.14413
  21. ema21 - 3.1441
  22. ema50 - 3.16009
  23. ema100 - 3.18156
  24. price_ema9_diff - 0.00377309
  25. ema9_ema21_diff - 1.09153E-5
  26. ema21_ema50_diff - -0.00506222
  27. price_ema100_diff - -0.00803525
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.538332
  31. kc_percentage - 0.723429
  32. kc_width_percentage - 0.0173789
  33. volume_ema_diff - -0.80595
  34. volume_ema1 - 16252.317108723
  35. volume_ema2 - 83753.33680985
    36. ¸
  36. 5m
  37. ema9 - 3.15072
  38. ema21 - 3.14408
  39. ema50 - 3.14196
  40. ema100 - 3.14744
  41. price_ema9_diff - 0.00167454
  42. ema9_ema21_diff - 0.00211204
  43. ema21_ema50_diff - 0.000674459
  44. price_ema100_diff - 0.00271808
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.630369
  48. kc_percentage - 1.09166
  49. kc_width_percentage - 0.00619994
  50. volume_ema_diff - -0.823184
  51. volume_ema1 - 3089.0766072624
  52. volume_ema2 - 17470.632696549
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 108080
  56. 5m_price_ema100_diff: 0.00132614
  57. 5m_price: 108223
  58. 5m_correlation_with_coin: 0.78813
  59. btc_indicators
  60. 15m_ema100: 108441
  61. 15m_price_ema100_diff: -0.00201209
  62. 15m_price: 108223
  63. btc_indicators
  64. 1H_ema100: 108592
  65. 1H_price_ema100_diff: -0.00339568
  66. 1H_price: 108223
    67. ¸

Short Trade on RENDER

The 07 Jul 2025 at 19:53:28

With 949.3 RENDER at 3.156$ per unit.

Position size of 2996 $

Take profit at 3.143 (0.41 %) and Stop Loss at 3.164 (0.25 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -56.82 %

Symbol Start at Seach Score Trade Score Trades Count
ONDO 2025-07-07 19:50:51 0.9734 -100 1
WLD 2025-07-07 19:44:50 0.9594 -100 2
AVAX 2025-07-07 19:48:07 0.9676 -100 1
MEW 2025-07-07 19:52:21 0.9658 -80 1
VIRTUAL 2025-07-07 19:45:19 0.964 -100 1
AI16Z 2025-07-07 19:46:01 0.9633 30 1
SHIB 2025-07-07 19:48:28 0.9628 -100 1
JUP 2025-07-07 19:50:09 0.9514 -100 1
B3 2025-05-28 19:31:56 0.9471 30 1
COOKIE 2025-06-12 23:52:46 0.9462 -35 2
BB 2025-06-21 21:06:16 0.9462 30 1

📌 Time Data

Start at Closed at Duration
07 Jul 2025
19:53:28		 07 Jul 2025
20:10:00		 16 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.156 3.164 3.143 1.6 3.62
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 3.156
  • Stop Loss: 3.164
  • Take Profit: 3.143

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.164 - 3.156 = 0.008

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.156 - 3.143 = 0.013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.013 / 0.008 = 1.625

📌 Position Size

Amount Margin Quantity Leverage
2996 100 949.3 29.96
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 0.008

Taille de position = 8 / 0.008 = 1000

Taille de position USD = 1000 x 3.156 = 3156

Donc, tu peux acheter 1000 avec un stoploss a 3.164

Avec un position size USD de 3156$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 1000 x 0.008 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 1000 x 0.013 = 13

Si Take Profit atteint, tu gagneras 13$

Résumé

  • Taille de position 1000
  • Taille de position USD 3156
  • Perte potentielle 8
  • Gain potentiel 13
  • Risk-Reward Ratio 1.625

📌 Peformances

TP % Target TP $ Target
0.41 % 12 $
SL % Target SL $ Target
0.25 % 7.6 $
PNL PNL %
12 $ 0.41
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.14
            [stop_loss] => 3.164
            [rr_ratio] => 2
            [closed_at] => 2025-07-07 20:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.136
            [stop_loss] => 3.164
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 3.132
            [stop_loss] => 3.164
            [rr_ratio] => 3
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 3.128
            [stop_loss] => 3.164
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.124
            [stop_loss] => 3.164
            [rr_ratio] => 4
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.12
            [stop_loss] => 3.164
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.116
            [stop_loss] => 3.164
            [rr_ratio] => 5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.112
            [stop_loss] => 3.164
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.108
            [stop_loss] => 3.164
            [rr_ratio] => 6
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 3.104
            [stop_loss] => 3.164
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 3.1
            [stop_loss] => 3.164
            [rr_ratio] => 7
            [closed_at] => 2025-07-07 20:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)