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Trade

sell - TRX

Status
win
2025-05-30 07:08:29
1 hour
PNL
0.29
Entry: 0.272
Last: 0.27120000

Results

Status:
win
Trade Type:
sell
Prediction Score: 2.2405
Prediction 1 Accuracy
Strong Trade
0.56
Prediction 2 Accuracy
2 0.55
ML Trade Score: 50
ML Pullback Score: 4.99

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0003332163372
Details
  1. score: 1
  2. 1H
  3. ema9 - 0.271303
  4. ema21 - 0.27255
  5. ema50 - 0.27378
  6. ema100 - 0.273989
  7. price_ema9_diff - 0.0024196
  8. ema9_ema21_diff - -0.00457477
  9. ema21_ema50_diff - -0.00449348
  10. price_ema100_diff - -0.00740899
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.453319
  14. kc_percentage - 0.41899
  15. kc_width_percentage - 0.023016
    16. ¸
  16. 15m
  17. ema9 - 0.271279
  18. ema21 - 0.270969
  19. ema50 - 0.271747
  20. ema100 - 0.273062
  21. price_ema9_diff - 0.00250766
  22. ema9_ema21_diff - 0.00114446
  23. ema21_ema50_diff - -0.0028622
  24. price_ema100_diff - -0.00403711
  25. all_emas_in_trend - False
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.576149
  28. kc_percentage - 0.826989
  29. kc_width_percentage - 0.0111741
    30. ¸
  30. 5m
  31. ema9 - 0.271675
  32. ema21 - 0.271336
  33. ema50 - 0.270895
  34. ema100 - 0.270894
  35. price_ema9_diff - 0.00104567
  36. ema9_ema21_diff - 0.00125256
  37. ema21_ema50_diff - 0.00162446
  38. price_ema100_diff - 0.00393382
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.645893
  42. kc_percentage - 1.00323
  43. kc_width_percentage - 0.00436731
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 105588
  47. 5m_price_ema100_diff: 0.0025856
  48. 5m_price: 105861
  49. 5m_correlation_with_coin: 0.490226
  50. btc_indicators
  51. 15m_ema100: 106280
  52. 15m_price_ema100_diff: -0.0039404
  53. 15m_price: 105861
  54. btc_indicators
  55. 1H_ema100: 107738
  56. 1H_price_ema100_diff: -0.0174213
  57. 1H_price: 105861
    58. ¸

Short Trade on TRX

The 30 May 2025 at 07:08:29

With 16005.6178 TRX at 0.272$ per unit.

Position size of 4352.8878 $

Take profit at 0.2712 (0.29 %) and Stop Loss at 0.2725 (0.18 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: -58.63 %

Symbol Start at Seach Score Trade Score Trades Count
BANANA 2025-04-02 06:31:55 0.9609 30 1
ARC 2025-04-06 18:02:11 0.9532 -94 5
GNO 2025-03-29 17:19:07 0.9529 -100 2
MOODENG 2025-07-18 20:38:42 0.951 -35 2
XRP 2025-04-24 09:00:11 0.95 -100 1
ZRO 2025-04-03 13:31:58 0.9498 -100 1
BSV 2025-06-30 15:04:28 0.9496 30 1
PUMP 2025-04-08 20:32:27 0.9493 -100 1

📌 Time Data

Start at Closed at Duration
30 May 2025
07:08:29		 30 May 2025
08:10:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.272 0.2725 0.2712 1.6 0.3139
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 0.272
  • Stop Loss: 0.2725
  • Take Profit: 0.2712

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2725 - 0.272 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.272 - 0.2712 = 0.00080000000000002

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00080000000000002 / 0.0005 = 1.6

📌 Position Size

Amount Margin Quantity Leverage
4352.8878 100 16005.6178 43.53
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 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.272 = 4352

Donc, tu peux acheter 16000 avec un stoploss a 0.2725

Avec un position size USD de 4352$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.00080000000000002 = 12.8

Si Take Profit atteint, tu gagneras 12.8$

Résumé

  • Taille de position 16000
  • Taille de position USD 4352
  • Perte potentielle 8
  • Gain potentiel 12.8
  • Risk-Reward Ratio 1.6

📌 Peformances

TP % Target TP $ Target
0.29 % 12.8 $
SL % Target SL $ Target
0.18 % 8 $
PNL PNL %
12.8 $ 0.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.062500000000001 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.271
            [stop_loss] => 0.2725
            [rr_ratio] => 2
            [closed_at] => 2025-05-30 08:10:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.27075
            [stop_loss] => 0.2725
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-30 08:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2705
            [stop_loss] => 0.2725
            [rr_ratio] => 3
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.27025
            [stop_loss] => 0.2725
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.27
            [stop_loss] => 0.2725
            [rr_ratio] => 4
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.26975
            [stop_loss] => 0.2725
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2695
            [stop_loss] => 0.2725
            [rr_ratio] => 5
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.26925
            [stop_loss] => 0.2725
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.269
            [stop_loss] => 0.2725
            [rr_ratio] => 6
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.26875
            [stop_loss] => 0.2725
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2685
            [stop_loss] => 0.2725
            [rr_ratio] => 7
            [closed_at] => 2025-05-30 08:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00139
            [max_drawdown] => 0.00121
            [rr_ratio] => 1.15
            [high] => 0.27321000
            [low] => 0.27061000
            [mfe_pct] => 0.51
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 1.15
            [candles_analyzed] => 24
            [start_at] => 2025-05-30T07:08:29-04:00
            [end_at] => 2025-05-30T09:08:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00417
            [max_drawdown] => 0.00121
            [rr_ratio] => 3.45
            [high] => 0.27321000
            [low] => 0.26783000
            [mfe_pct] => 1.53
            [mae_pct] => 0.44
            [mfe_mae_ratio] => 3.45
            [candles_analyzed] => 72
            [start_at] => 2025-05-30T07:08:29-04:00
            [end_at] => 2025-05-30T13:08:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.27209000
            [high_after] => 0.27321000
            [low_before] => 0.26800000
            [low_after] => 0.26783000
            [is_new_high] => 
            [is_new_low] => 1
        )

)