Trade

buy - TAO

Status
win
2025-08-04 07:19:52
50 minutes
PNL
0.61
Entry: 353.53
Last: 355.69570000

Results

Status:
win
Trade Type:
buy
Prediction Score: 2.3094
Prediction 1 Probability
Strong Trade
0.53
Prediction 2 Probability
2 0.44
Prediction 3 Probability
0 0.64
ML Trade Score: 120
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.9625119294
Details
  1. score: 2.04
  2. 1H
  3. ema9 - 354.644
  4. ema21 - 352.23
  5. ema50 - 349.284
  6. ema100 - 352.388
  7. price_ema9_diff - -0.00314189
  8. ema9_ema21_diff - 0.00685192
  9. ema21_ema50_diff - 0.00843439
  10. price_ema100_diff - 0.00323911
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.553286
  14. adx - 0.320588
  15. kc_percentage - 0.580762
  16. kc_width_percentage - 0.0381715
  17. volume_ema_diff - -0.457336
  18. volume_ema1 - 879213.13674998
  19. volume_ema2 - 1620181.7421528
  20. ¸
  21. 15m
  22. ema9 - 355.347
  23. ema21 - 355.399
  24. ema50 - 354.046
  25. ema100 - 351.868
  26. price_ema9_diff - -0.00511547
  27. ema9_ema21_diff - -0.000145129
  28. ema21_ema50_diff - 0.00382248
  29. price_ema100_diff - 0.00472125
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.425079
  33. adx - 0.20902
  34. kc_percentage - 0.204211
  35. kc_width_percentage - 0.0181627
  36. volume_ema_diff - -0.268692
  37. volume_ema1 - 243124.31845014
  38. volume_ema2 - 332451.69637065
  39. ¸
  40. 5m
  41. ema9 - 355.126
  42. ema21 - 355.635
  43. ema50 - 355.75
  44. ema100 - 355.285
  45. price_ema9_diff - -0.0044945
  46. ema9_ema21_diff - -0.00143141
  47. ema21_ema50_diff - -0.00032404
  48. price_ema100_diff - -0.0049417
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.356329
  52. adx - 0.192066
  53. kc_percentage - -0.0356279
  54. kc_width_percentage - 0.0109728
  55. volume_ema_diff - 0.299087
  56. volume_ema1 - 118859.21050153
  57. volume_ema2 - 91494.39385402
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 114451
  62. 5m_price_ema100_diff: -0.00214959
  63. 5m_price: 114205
  64. 5m_correlation_with_coin: 0.707393
  65. btc_indicators
  66. 15m_ema100: 114255
  67. 15m_price_ema100_diff: -0.000439552
  68. 15m_price: 114205
  69. btc_indicators
  70. 1H_ema100: 114780
  71. 1H_price_ema100_diff: -0.00501254
  72. 1H_price: 114205
  73. ¸

Long Trade on TAO

The 04 Aug 2025 at 07:19:52

With 5.5411 TAO at 353.53$ per unit.

Position size of 1958.9298 $

Take profit at 355.6957 (0.61 %) and Stop Loss at 352.0862 (0.41 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 0.63 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-08-04 07:21:39 0.9472 70 2
GALA 2025-08-04 07:20:58 0.9144 -35 2
WIF 2025-08-04 07:19:34 0.9202 80 1
RESOLV 2025-08-04 20:34:20 0.9053 -100 4
NEAR 2025-08-04 07:23:47 0.8952 30 1
AXS 2025-06-11 04:58:26 0.8935 -100 1
SYRUP 2025-08-04 01:11:10 0.8906 30 2
VIRTUAL 2025-08-17 15:31:52 0.8903 30 1

📌 Time Data

Start at Closed at Duration
04 Aug 2025
07:19:52
04 Aug 2025
08:10:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
353.53 352.0862 355.6957 1.5 334.38
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 353.53
  • Stop Loss: 352.0862
  • Take Profit: 355.6957

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 352.0862 - 353.53 = -1.4438

  • Récompense (distance jusqu'au take profit):

    E - TP = 353.53 - 355.6957 = -2.1657

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.1657 / -1.4438 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1958.9298 100 5.5411 19.59
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 -1.4438

Taille de position = 8 / -1.4438 = -5.54

Taille de position USD = -5.54 x 353.53 = -1958.56

Donc, tu peux acheter -5.54 avec un stoploss a 352.0862

Avec un position size USD de -1958.56$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -5.54 x -1.4438 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -5.54 x -2.1657 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -5.54
  • Taille de position USD -1958.56
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.61 % 12 $
SL % Target SL $ Target
0.41 % 8 $
PNL PNL %
12 $ 0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2319 % 56.78 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 356.4176
            [stop_loss] => 352.0862
            [rr_ratio] => 2
            [closed_at] => 2025-08-04 08:15:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 357.1395
            [stop_loss] => 352.0862
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-04 08:55:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 357.8614
            [stop_loss] => 352.0862
            [rr_ratio] => 3
            [closed_at] => 2025-08-04 09:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 358.5833
            [stop_loss] => 352.0862
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-04 09:45:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 359.3052
            [stop_loss] => 352.0862
            [rr_ratio] => 4
            [closed_at] => 2025-08-04 09:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 360.0271
            [stop_loss] => 352.0862
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-04 10:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 360.749
            [stop_loss] => 352.0862
            [rr_ratio] => 5
            [closed_at] => 2025-08-04 10:00:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 361.4709
            [stop_loss] => 352.0862
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-04 10:00:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 362.1928
            [stop_loss] => 352.0862
            [rr_ratio] => 6
            [closed_at] => 2025-08-04 10:00:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.47
            [max_drawdown] => 0.81999999999999
            [rr_ratio] => 5.45
            [high] => 358.00000000
            [low] => 352.71000000
            [mfe_pct] => 1.26
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 5.45
            [candles_analyzed] => 24
            [start_at] => 2025-08-04T07:19:52-04:00
            [end_at] => 2025-08-04T09:19:52-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 9.1900000000001
            [max_drawdown] => 0.81999999999999
            [rr_ratio] => 11.21
            [high] => 362.72000000
            [low] => 352.71000000
            [mfe_pct] => 2.6
            [mae_pct] => 0.23
            [mfe_mae_ratio] => 11.21
            [candles_analyzed] => 84
            [start_at] => 2025-08-04T07:19:52-04:00
            [end_at] => 2025-08-04T14:19:52-04:00
        )

    [breakout] => Array
        (
            [high_before] => 358.85000000
            [high_after] => 362.72000000
            [low_before] => 353.41000000
            [low_after] => 352.71000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)