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Trade

buy - TAO

Status
win
2025-07-02 20:30:00
15 minutes
PNL
0.75
Entry: 332.9
Last: 335.40000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.79
Prediction 1 Accuracy
Strong Trade
0.61
Prediction 2 Accuracy
1 0.53
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 1.077083702
Details
  1. score: 2.08
  2. 1H
  3. ema9 - 334.704
  4. ema21 - 331.33
  5. ema50 - 329.751
  6. ema100 - 330.55
  7. price_ema9_diff - -0.00530164
  8. ema9_ema21_diff - 0.0101818
  9. ema21_ema50_diff - 0.00479053
  10. price_ema100_diff - 0.00719923
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.54181
  14. kc_percentage - 0.582844
  15. kc_width_percentage - 0.0508806
  16. volume_ema_diff - -0.232586
  17. volume_ema1 - 1429309.8720013
  18. volume_ema2 - 1862501.829049
    19. ¸
  19. 15m
  20. ema9 - 335.889
  21. ema21 - 336.413
  22. ema50 - 333.511
  23. ema100 - 329.38
  24. price_ema9_diff - -0.0088115
  25. ema9_ema21_diff - -0.00155777
  26. ema21_ema50_diff - 0.00870253
  27. price_ema100_diff - 0.0107773
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.381039
  31. kc_percentage - 0.0404573
  32. kc_width_percentage - 0.0231087
  33. volume_ema_diff - -0.478117
  34. volume_ema1 - 306957.49095877
  35. volume_ema2 - 588173.03949272
    36. ¸
  36. 5m
  37. ema9 - 334.062
  38. ema21 - 335.613
  39. ema50 - 336.862
  40. ema100 - 336.7
  41. price_ema9_diff - -0.00339054
  42. ema9_ema21_diff - -0.00462236
  43. ema21_ema50_diff - -0.00370533
  44. price_ema100_diff - -0.0111969
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.288627
  48. kc_percentage - -0.084927
  49. kc_width_percentage - 0.0132658
  50. volume_ema_diff - -0.0837198
  51. volume_ema1 - 126256.65588427
  52. volume_ema2 - 137792.63722428
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 109163
  56. 5m_price_ema100_diff: -0.00340853
  57. 5m_price: 108791
  58. 5m_correlation_with_coin: 0.747
  59. btc_indicators
  60. 15m_ema100: 107946
  61. 15m_price_ema100_diff: 0.00790303
  62. 15m_price: 108800
  63. btc_indicators
  64. 1H_ema100: 107407
  65. 1H_price_ema100_diff: 0.0128875
  66. 1H_price: 108791
    67. ¸

Long Trade on TAO

The 02 Jul 2025 at 20:30:00

With 4.952 TAO at 332.9$ per unit.

Position size of 1649 $

Take profit at 335.4 (0.75 %) and Stop Loss at 331.3 (0.48 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 1.11 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-07-02 20:26:40 0.9814 40 1
EOS 2025-04-20 18:37:17 0.9539 -40 5
OP 2025-07-02 20:27:41 0.9568 40 1
MUBARAK 2025-05-11 16:03:10 0.9527 40 1
JUP 2025-06-28 21:12:01 0.9505 -100 1
GOAT 2025-04-23 03:42:57 0.9505 50 1
ETH 2025-07-02 20:22:10 0.9502 30 1
S 2025-04-09 21:46:25 0.9486 50 1
UNI 2025-05-28 09:06:43 0.9481 -100 1

📌 Time Data

Start at Closed at Duration
02 Jul 2025
20:30:00		 02 Jul 2025
20:45:00		 15 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
332.9 331.3 335.4 1.6 323.4
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 332.9
  • Stop Loss: 331.3
  • Take Profit: 335.4

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 331.3 - 332.9 = -1.6

  • Récompense (distance jusqu'au take profit):

    E - TP = 332.9 - 335.4 = -2.5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.5 / -1.6 = 1.5625

📌 Position Size

Amount Margin Quantity Leverage
1649 100 4.952 16.49
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 -1.6

Taille de position = 8 / -1.6 = -5

Taille de position USD = -5 x 332.9 = -1664.5

Donc, tu peux acheter -5 avec un stoploss a 331.3

Avec un position size USD de -1664.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5 x -1.6 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5 x -2.5 = 12.5

Si Take Profit atteint, tu gagneras 12.5$

Résumé

  • Taille de position -5
  • Taille de position USD -1664.5
  • Perte potentielle 8
  • Gain potentiel 12.5
  • Risk-Reward Ratio 1.5625

📌 Peformances

TP % Target TP $ Target
0.75 % 12 $
SL % Target SL $ Target
0.48 % 7.9 $
PNL PNL %
12 $ 0.75
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.1652 % 34.37 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 336.1
            [stop_loss] => 331.3
            [rr_ratio] => 2
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 336.9
            [stop_loss] => 331.3
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-02 21:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 337.7
            [stop_loss] => 331.3
            [rr_ratio] => 3
            [closed_at] => 2025-07-02 22:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 338.5
            [stop_loss] => 331.3
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-02 23:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 339.3
            [stop_loss] => 331.3
            [rr_ratio] => 4
            [closed_at] => 2025-07-02 23:00:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 340.1
            [stop_loss] => 331.3
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-02 23:20:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 340.9
            [stop_loss] => 331.3
            [rr_ratio] => 5
            [closed_at] => 2025-07-02 23:20:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 341.7
            [stop_loss] => 331.3
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-02 23:25:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 342.5
            [stop_loss] => 331.3
            [rr_ratio] => 6
            [closed_at] => 2025-07-02 23:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 343.3
            [stop_loss] => 331.3
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-02 23:25:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 344.1
            [stop_loss] => 331.3
            [rr_ratio] => 7
            [closed_at] => 2025-07-03 02:20:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)