Trade

sell - RENDER

Status
win
2025-07-01 17:26:48
3 minutes
PNL
0.62
Entry: 3.08
Last: 3.06100000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.3
Prediction 1 Accuracy
Weak Trade
0.56
Prediction 2 Accuracy
0 0.42
ML Trade Score: 60

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.008417228315
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 3.075
  4. ema21 - 3.10688
  5. ema50 - 3.15682
  6. ema100 - 3.17186
  7. price_ema9_diff - 0.00162305
  8. ema9_ema21_diff - -0.0102585
  9. ema21_ema50_diff - -0.0158222
  10. price_ema100_diff - -0.0289609
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.403032
  14. kc_percentage - 0.334598
  15. kc_width_percentage - 0.047583
  16. volume_ema_diff - -0.315088
  17. volume_ema1 - 233898.18409084
  18. volume_ema2 - 341501.19136266
  19. ¸
  20. 15m
  21. ema9 - 3.05821
  22. ema21 - 3.06313
  23. ema50 - 3.08351
  24. ema100 - 3.11754
  25. price_ema9_diff - 0.00712364
  26. ema9_ema21_diff - -0.0016056
  27. ema21_ema50_diff - -0.00661104
  28. price_ema100_diff - -0.012044
  29. all_emas_in_trend - True
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.500187
  32. kc_percentage - 0.78662
  33. kc_width_percentage - 0.0197844
  34. volume_ema_diff - -0.440818
  35. volume_ema1 - 36745.479137377
  36. volume_ema2 - 65712.990913457
  37. ¸
  38. 5m
  39. ema9 - 3.06754
  40. ema21 - 3.06097
  41. ema50 - 3.06087
  42. ema100 - 3.06527
  43. price_ema9_diff - 0.00405918
  44. ema9_ema21_diff - 0.00214872
  45. ema21_ema50_diff - 3.16609E-5
  46. price_ema100_diff - 0.00480321
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.634149
  50. kc_percentage - 1.04313
  51. kc_width_percentage - 0.0112056
  52. volume_ema_diff - -0.0545325
  53. volume_ema1 - 22068.012937646
  54. volume_ema2 - 23340.848747058
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 105936
  59. 5m_price_ema100_diff: 0.000670257
  60. 5m_price: 106007
  61. 5m_correlation_with_coin: 0.734751
  62. btc_indicators
  63. 15m_ema100: 106479
  64. 15m_price_ema100_diff: -0.00547962
  65. 15m_price: 105895
  66. btc_indicators
  67. 1H_ema100: 107015
  68. 1H_price_ema100_diff: -0.00941832
  69. 1H_price: 106007
  70. ¸

Short Trade on RENDER

The 01 Jul 2025 at 17:26:48

With 633.6 RENDER at 3.08$ per unit.

Position size of 1952 $

Take profit at 3.061 (0.62 %) and Stop Loss at 3.093 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -1.36 %

Symbol Start at Seach Score Trade Score Trades Count
POPCAT 2025-07-01 17:26:30 0.9492 40 1
ENA 2025-07-01 17:25:10 0.9479 30 1
PEPE 2025-07-01 17:23:52 0.9445 30 1
RAY 2025-07-01 17:25:32 0.943 40 1
ONDO 2025-07-01 17:24:50 0.9385 40 1
PAXG 2025-04-22 21:12:30 0.9249 -100 2
FIL 2025-05-17 00:42:41 0.9233 45 2
XAUT 2025-04-22 21:13:31 0.9233 -100 1
TRX 2025-06-22 18:50:19 0.9219 -100 2
MOVE 2025-03-28 05:14:32 0.9219 30 1
AI16Z 2025-07-01 17:28:24 0.9209 30 1

📌 Time Data

Start at Closed at Duration
01 Jul 2025
17:26:48
01 Jul 2025
17:30:00
3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.08 3.093 3.061 1.5 3.241
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 3.08
  • Stop Loss: 3.093
  • Take Profit: 3.061

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.093 - 3.08 = 0.013

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.08 - 3.061 = 0.019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.019 / 0.013 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
1952 100 633.6 19.52
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 0.013

Taille de position = 8 / 0.013 = 615.38

Taille de position USD = 615.38 x 3.08 = 1895.37

Donc, tu peux acheter 615.38 avec un stoploss a 3.093

Avec un position size USD de 1895.37$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 615.38 x 0.013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 615.38 x 0.019 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position 615.38
  • Taille de position USD 1895.37
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
0.62 % 12 $
SL % Target SL $ Target
0.42 % 8.2 $
PNL PNL %
12 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.054
            [stop_loss] => 3.093
            [rr_ratio] => 2
            [closed_at] => 2025-07-01 18:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0475
            [stop_loss] => 3.093
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-01 19:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.041
            [stop_loss] => 3.093
            [rr_ratio] => 3
            [closed_at] => 2025-07-01 21:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.0345
            [stop_loss] => 3.093
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 3.028
            [stop_loss] => 3.093
            [rr_ratio] => 4
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 3.0215
            [stop_loss] => 3.093
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 3.015
            [stop_loss] => 3.093
            [rr_ratio] => 5
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 3.0085
            [stop_loss] => 3.093
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 3.002
            [stop_loss] => 3.093
            [rr_ratio] => 6
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 2.9955
            [stop_loss] => 3.093
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 2.989
            [stop_loss] => 3.093
            [rr_ratio] => 7
            [closed_at] => 2025-07-01 23:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)