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Trade

buy - RENDER

Status
win
2025-05-22 17:30:05
29 minutes
PNL
0.78
Entry: 5.103
Last: 5.14300000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.1505
Prediction 1 Probability
Strong Trade
0.61
Prediction 2 Probability
0 0.34
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 8

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.01793336271
Details
  1. score: 2.02
  2. 1H
  3. ema9 - 5.12076
  4. ema21 - 5.03305
  5. ema50 - 4.88553
  6. ema100 - 4.76961
  7. price_ema9_diff - -0.00346931
  8. ema9_ema21_diff - 0.017427
  9. ema21_ema50_diff - 0.0301943
  10. price_ema100_diff - 0.0698985
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.604507
  14. kc_percentage - 0.703861
  15. kc_width_percentage - 0.0605303
    16. ¸
  16. 15m
  17. ema9 - 5.1458
  18. ema21 - 5.15008
  19. ema50 - 5.09686
  20. ema100 - 5.00612
  21. price_ema9_diff - -0.00831754
  22. ema9_ema21_diff - -0.000832412
  23. ema21_ema50_diff - 0.0104421
  24. price_ema100_diff - 0.0193522
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.415325
  28. kc_percentage - 0.128652
  29. kc_width_percentage - 0.0253744
    30. ¸
  30. 5m
  31. ema9 - 5.12067
  32. ema21 - 5.14088
  33. ema50 - 5.15401
  34. ema100 - 5.13041
  35. price_ema9_diff - -0.0034521
  36. ema9_ema21_diff - -0.00393151
  37. ema21_ema50_diff - -0.0025472
  38. price_ema100_diff - -0.00534383
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.339352
  42. kc_percentage - -0.0160526
  43. kc_width_percentage - 0.0138967
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 111233
  47. 5m_price_ema100_diff: -0.003272
  48. 5m_price: 110869
  49. 5m_correlation_with_coin: 0.546532
  50. btc_indicators
  51. 15m_ema100: 110583
  52. 15m_price_ema100_diff: 0.00258735
  53. 15m_price: 110869
  54. btc_indicators
  55. 1H_ema100: 107706
  56. 1H_price_ema100_diff: 0.0293655
  57. 1H_price: 110869
    58. ¸

Long Trade on RENDER

The 22 May 2025 at 17:30:05

With 297.3973 RENDER at 5.103$ per unit.

Position size of 1517.6183 $

Take profit at 5.1434 (0.79 %) and Stop Loss at 5.0761 (0.53 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -5.63 %

Symbol Start at Seach Score Trade Score Trades Count
DOGE 2025-03-26 09:54:46 0.9703 -100 1
C98 2025-07-16 02:05:12 0.9686 30 1
SANTOS 2025-07-27 21:14:24 0.9596 -100 2
FIL 2025-07-09 21:04:54 0.9579 35 2
TURBO 2025-04-22 17:01:34 0.9576 100 1
IO 2025-04-25 09:33:23 0.9562 50 1
AI16Z 2025-07-05 08:16:14 0.9547 -100 4
INIT 2025-05-11 04:32:18 0.953 40 1

📌 Time Data

Start at Closed at Duration
22 May 2025
17:30:05		 22 May 2025
18:00:00		 29 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
5.103 5.0761 5.1434 1.5 3.608
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 5.103
  • Stop Loss: 5.0761
  • Take Profit: 5.1434

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 5.0761 - 5.103 = -0.026899999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 5.103 - 5.1434 = -0.0404

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0404 / -0.026899999999999 = 1.5019

📌 Position Size

Amount Margin Quantity Leverage
1517.6183 100 297.3973 15.18
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 -0.026899999999999

Taille de position = 8 / -0.026899999999999 = -297.4

Taille de position USD = -297.4 x 5.103 = -1517.63

Donc, tu peux acheter -297.4 avec un stoploss a 5.0761

Avec un position size USD de -1517.63$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -297.4 x -0.026899999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -297.4 x -0.0404 = 12.01

Si Take Profit atteint, tu gagneras 12.01$

Résumé

  • Taille de position -297.4
  • Taille de position USD -1517.63
  • Perte potentielle 8
  • Gain potentiel 12.01
  • Risk-Reward Ratio 1.5019

📌 Peformances

TP % Target TP $ Target
0.79 % 12.01 $
SL % Target SL $ Target
0.53 % 8 $
PNL PNL %
11.9 $ 0.78
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 5.157
            [stop_loss] => 5.076
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 18:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 5.1705
            [stop_loss] => 5.076
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 19:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 5.184
            [stop_loss] => 5.076
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 20:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 5.1975
            [stop_loss] => 5.076
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 20:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 5.211
            [stop_loss] => 5.076
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 20:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 5.2245
            [stop_loss] => 5.076
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 20:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 5.238
            [stop_loss] => 5.076
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 21:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 5.2515
            [stop_loss] => 5.076
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 22:05:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 5.265
            [stop_loss] => 5.076
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 22:10:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 5.2785
            [stop_loss] => 5.076
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-22 22:15:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 5.292
            [stop_loss] => 5.076
            [rr_ratio] => 7
            [closed_at] => 2025-05-22 22:30:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.064
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 5.16700000
            [low] => 5.11200000
            [mfe_pct] => 1.25
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T17:30:05-04:00
            [end_at] => 2025-05-22T19:30:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.223
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 5.32600000
            [low] => 5.11200000
            [mfe_pct] => 4.37
            [mae_pct] => -0.18
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T17:30:05-04:00
            [end_at] => 2025-05-22T23:30:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.23300000
            [high_after] => 5.32600000
            [low_before] => 5.09500000
            [low_after] => 5.11200000
            [is_new_high] => 1
            [is_new_low] => 
        )

)