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Trade

sell - RENDER

Status
loss
2025-05-23 23:57:07
52 minutes
PNL
-0.48
Entry: 4.77
Last: 4.79300000

Results

Status:
loss
Trade Type:
sell
Prediction Score: 3.3849
Prediction 1 Accuracy
Strong Trade
0.55
Prediction 2 Accuracy
0 0.45
ML Trade Score: -90
ML Pullback Score: 2.83

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.01505797825
Details
  1. score: 1.1
  2. 1H
  3. ema9 - 4.76768
  4. ema21 - 4.88253
  5. ema50 - 4.93669
  6. ema100 - 4.87122
  7. price_ema9_diff - 0.000485615
  8. ema9_ema21_diff - -0.0235229
  9. ema21_ema50_diff - -0.0109715
  10. price_ema100_diff - -0.0207805
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.388327
  14. kc_percentage - 0.217806
  15. kc_width_percentage - 0.0785658
    16. ¸
  16. 15m
  17. ema9 - 4.73241
  18. ema21 - 4.73457
  19. ema50 - 4.81962
  20. ema100 - 4.94637
  21. price_ema9_diff - 0.00794172
  22. ema9_ema21_diff - -0.000455288
  23. ema21_ema50_diff - -0.0176463
  24. price_ema100_diff - -0.0356581
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.540944
  28. kc_percentage - 0.766518
  29. kc_width_percentage - 0.0293654
    30. ¸
  30. 5m
  31. ema9 - 4.75392
  32. ema21 - 4.73595
  33. ema50 - 4.72799
  34. ema100 - 4.75854
  35. price_ema9_diff - 0.00338078
  36. ema9_ema21_diff - 0.0037949
  37. ema21_ema50_diff - 0.00168439
  38. price_ema100_diff - 0.00240675
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.653009
  42. kc_percentage - 1.10398
  43. kc_width_percentage - 0.0114207
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 107981
  47. 5m_price_ema100_diff: 0.00294488
  48. 5m_price: 108299
  49. 5m_correlation_with_coin: 0.826721
  50. btc_indicators
  51. 15m_ema100: 109057
  52. 15m_price_ema100_diff: -0.00694871
  53. 15m_price: 108299
  54. btc_indicators
  55. 1H_ema100: 108621
  56. 1H_price_ema100_diff: -0.00296128
  57. 1H_price: 108299
    58. ¸

Short Trade on RENDER

The 23 May 2025 at 23:57:07

With 354.1865 RENDER at 4.77$ per unit.

Position size of 1689.4698 $

Take profit at 4.7361 (0.71 %) and Stop Loss at 4.7926 (0.47 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -30.56 %

Symbol Start at Seach Score Trade Score Trades Count
ZRO 2025-05-23 23:52:52 0.9759 30 2
AIXBT 2025-05-23 23:59:28 0.9556 -35 2
TURBO 2025-05-24 00:01:30 0.9564 -100 2
BTC 2025-05-24 00:02:11 0.9546 -100 1
STX 2025-05-24 00:14:43 0.9516 40 1
TAO 2025-05-23 23:25:19 0.9421 -100 1
SAFE 2025-05-31 01:05:17 0.937 -80 3
AVAX 2025-05-23 23:30:38 0.9367 30 1
1000000MOG 2025-05-23 23:37:32 0.9348 40 1

📌 Time Data

Start at Closed at Duration
23 May 2025
23:57:07		 24 May 2025
00:50:00		 52 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.77 4.7926 4.7361 1.5 4.187
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 4.77
  • Stop Loss: 4.7926
  • Take Profit: 4.7361

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7926 - 4.77 = 0.022600000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.77 - 4.7361 = 0.033899999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.033899999999999 / 0.022600000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1689.4698 100 354.1865 16.89
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 0.022600000000001

Taille de position = 8 / 0.022600000000001 = 353.98

Taille de position USD = 353.98 x 4.77 = 1688.48

Donc, tu peux acheter 353.98 avec un stoploss a 4.7926

Avec un position size USD de 1688.48$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 353.98 x 0.022600000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 353.98 x 0.033899999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 353.98
  • Taille de position USD 1688.48
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.71 % 12.01 $
SL % Target SL $ Target
0.47 % 8 $
PNL PNL %
-8.15 $ -0.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.52410901467506 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.736
            [entry_price] => 4.77
            [stop_loss] => 4.7953
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-24 00:55:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.736
            [entry_price] => 4.77
            [stop_loss] => 4.7976
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-24 00:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.736
            [entry_price] => 4.77
            [stop_loss] => 4.7999
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-24 00:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.736
            [entry_price] => 4.77
            [stop_loss] => 4.8045
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-24 01:20:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.048999999999999
            [max_drawdown] => 0.034000000000001
            [rr_ratio] => 1.44
            [high] => 4.80400000
            [low] => 4.72100000
            [mfe_pct] => 1.03
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 1.44
            [candles_analyzed] => 24
            [start_at] => 2025-05-23T23:57:07-04:00
            [end_at] => 2025-05-24T01:57:07-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.095
            [max_drawdown] => 0.034000000000001
            [rr_ratio] => 2.79
            [high] => 4.80400000
            [low] => 4.67500000
            [mfe_pct] => 1.99
            [mae_pct] => 0.71
            [mfe_mae_ratio] => 2.79
            [candles_analyzed] => 72
            [start_at] => 2025-05-23T23:57:07-04:00
            [end_at] => 2025-05-24T05:57:07-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.77100000
            [high_after] => 4.80400000
            [low_before] => 4.61500000
            [low_after] => 4.67500000
            [is_new_high] => 
            [is_new_low] => 
        )

)