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Trade

sell - RENDER

Status
win
2025-07-01 10:16:36
3 minutes
PNL
0.80
Entry: 3.123
Last: 3.09800000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4313
Prediction 1 Probability
Weak Trade
0.56
Prediction 2 Probability
0 0.47
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.01128271919
Details
  1. score: 1.03
  2. 1H
  3. ema9 - 3.11648
  4. ema21 - 3.14861
  5. ema50 - 3.18674
  6. ema100 - 3.18369
  7. price_ema9_diff - 0.0020899
  8. ema9_ema21_diff - -0.010204
  9. ema21_ema50_diff - -0.0119652
  10. price_ema100_diff - -0.0190641
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.421926
  14. kc_percentage - 0.338647
  15. kc_width_percentage - 0.0459729
  16. volume_ema_diff - -0.330407
  17. volume_ema1 - 225663.88983386
  18. volume_ema2 - 337016.63613212
    19. ¸
  19. 15m
  20. ema9 - 3.1004
  21. ema21 - 3.10305
  22. ema50 - 3.12426
  23. ema100 - 3.15261
  24. price_ema9_diff - 0.00728749
  25. ema9_ema21_diff - -0.000855075
  26. ema21_ema50_diff - -0.00678872
  27. price_ema100_diff - -0.00939274
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.555418
  31. kc_percentage - 0.766471
  32. kc_width_percentage - 0.0246111
  33. volume_ema_diff - -0.0504734
  34. volume_ema1 - 65239.039533419
  35. volume_ema2 - 68706.914284944
    36. ¸
  36. 5m
  37. ema9 - 3.10438
  38. ema21 - 3.09751
  39. ema50 - 3.09969
  40. ema100 - 3.10511
  41. price_ema9_diff - 0.00599734
  42. ema9_ema21_diff - 0.00221725
  43. ema21_ema50_diff - -0.00070277
  44. price_ema100_diff - 0.00575894
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.633944
  48. kc_percentage - 1.03495
  49. kc_width_percentage - 0.0151561
  50. volume_ema_diff - -0.067083
  51. volume_ema1 - 22818.978877149
  52. volume_ema2 - 24459.819092659
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 106630
  56. 5m_price_ema100_diff: 0.00409861
  57. 5m_price: 107067
  58. 5m_correlation_with_coin: 0.785577
  59. btc_indicators
  60. 15m_ema100: 106966
  61. 15m_price_ema100_diff: 0.00094641
  62. 15m_price: 107067
  63. btc_indicators
  64. 1H_ema100: 107256
  65. 1H_price_ema100_diff: -0.00175475
  66. 1H_price: 107067
    67. ¸

Short Trade on RENDER

The 01 Jul 2025 at 10:16:36

With 472.6993 RENDER at 3.123$ per unit.

Position size of 1476.2399 $

Take profit at 3.0976 (0.81 %) and Stop Loss at 3.1399 (0.54 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 10.83 %

Symbol Start at Seach Score Trade Score Trades Count
BRETT 2025-07-01 10:15:33 0.9869 50 1
GALA 2025-07-01 10:20:23 0.9819 50 1
ETHFI 2025-07-01 10:13:52 0.9753 40 1
S 2025-07-01 10:18:13 0.9731 50 1
ONDO 2025-07-01 10:14:10 0.9719 60 1
AXS 2025-05-15 11:57:01 0.9686 -100 1
ZK 2025-07-01 10:15:50 0.9686 60 1
SQD 2025-07-31 20:59:28 0.9678 30 1
PYTH 2025-05-15 11:39:50 0.9652 -100 3
WLD 2025-07-01 09:54:22 0.965 40 1
TAIKO 2025-07-01 10:15:15 0.965 50 1
GMT 2025-05-15 11:57:59 0.9649 -100 1

📌 Time Data

Start at Closed at Duration
01 Jul 2025
10:16:36		 01 Jul 2025
10:20:00		 3 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
3.123 3.1399 3.0976 1.5 3.851
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 3.123
  • Stop Loss: 3.1399
  • Take Profit: 3.0976

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 3.1399 - 3.123 = 0.0169

  • Récompense (distance jusqu'au take profit):

    E - TP = 3.123 - 3.0976 = 0.0254

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0254 / 0.0169 = 1.503

📌 Position Size

Amount Margin Quantity Leverage
1476.2399 100 472.6993 14.76
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 0.0169

Taille de position = 8 / 0.0169 = 473.37

Taille de position USD = 473.37 x 3.123 = 1478.33

Donc, tu peux acheter 473.37 avec un stoploss a 3.1399

Avec un position size USD de 1478.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 473.37 x 0.0169 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 473.37 x 0.0254 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position 473.37
  • Taille de position USD 1478.33
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.503

📌 Peformances

TP % Target TP $ Target
0.81 % 12.01 $
SL % Target SL $ Target
0.54 % 7.99 $
PNL PNL %
11.82 $ 0.80
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 3.089
            [stop_loss] => 3.14
            [rr_ratio] => 2
            [closed_at] => 2025-07-01 10:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 3.0805
            [stop_loss] => 3.14
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-01 10:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 3.072
            [stop_loss] => 3.14
            [rr_ratio] => 3
            [closed_at] => 2025-07-01 10:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 3.0635
            [stop_loss] => 3.14
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-01 10:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 3.055
            [stop_loss] => 3.14
            [rr_ratio] => 4
            [closed_at] => 2025-07-01 14:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 3.0465
            [stop_loss] => 3.14
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-01 14:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 3.038
            [stop_loss] => 3.14
            [rr_ratio] => 5
            [closed_at] => 2025-07-01 14:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 3.0295
            [stop_loss] => 3.14
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-01 14:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.062
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.10500000
            [low] => 3.06100000
            [mfe_pct] => 1.99
            [mae_pct] => -0.58
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-07-01T10:16:36-04:00
            [end_at] => 2025-07-01T12:16:36-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 3.10500000
            [low] => 3.02800000
            [mfe_pct] => 3.04
            [mae_pct] => -0.58
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-07-01T10:16:36-04:00
            [end_at] => 2025-07-01T16:16:36-04:00
        )

    [breakout] => Array
        (
            [high_before] => 3.13200000
            [high_after] => 3.10500000
            [low_before] => 3.06500000
            [low_after] => 3.02800000
            [is_new_high] => 
            [is_new_low] => 1
        )

)