Trade

buy - TAO

Status
win
2025-06-16 07:31:11
13 minutes
PNL
0.66
Entry: 378.4
Last: 380.90000000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.4361
Prediction 1 Probability
Weak Trade
0.74
Prediction 2 Probability
0 0.46
Prediction 3 Probability
n/a
ML Trade Score: 140
ML Pullback Score: 10

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 1.111282893
Details
  1. score: 2
  2. 1H
  3. ema9 - 378.803
  4. ema21 - 374.854
  5. ema50 - 372.23
  6. ema100 - 374.779
  7. price_ema9_diff - -0.00106529
  8. ema9_ema21_diff - 0.0105351
  9. ema21_ema50_diff - 0.00704784
  10. price_ema100_diff - 0.00966118
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.576435
  14. kc_percentage - 0.671203
  15. kc_width_percentage - 0.0510759
  16. volume_ema_diff - -0.0105972
  17. ¸
  18. 15m
  19. ema9 - 380.478
  20. ema21 - 380.381
  21. ema50 - 377.163
  22. ema100 - 373.617
  23. price_ema9_diff - -0.00546252
  24. ema9_ema21_diff - 0.000253536
  25. ema21_ema50_diff - 0.00853281
  26. price_ema100_diff - 0.012801
  27. all_emas_in_trend - True
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.453609
  30. kc_percentage - 0.244583
  31. kc_width_percentage - 0.0213887
  32. volume_ema_diff - -0.0867455
  33. ¸
  34. 5m
  35. ema9 - 379.426
  36. ema21 - 380.65
  37. ema50 - 381.028
  38. ema100 - 379.855
  39. price_ema9_diff - -0.00270438
  40. ema9_ema21_diff - -0.00321724
  41. ema21_ema50_diff - -0.000992324
  42. price_ema100_diff - -0.00383144
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.338067
  46. kc_percentage - -0.000560683
  47. kc_width_percentage - 0.0115482
  48. volume_ema_diff - -0.0892646
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 106640
  53. 5m_price_ema100_diff: 0.000125113
  54. 5m_price: 106653
  55. 5m_correlation_with_coin: 0.596323
  56. btc_indicators
  57. 15m_ema100: 105973
  58. 15m_price_ema100_diff: 0.00642012
  59. 15m_price: 106653
  60. btc_indicators
  61. 1H_ema100: 105854
  62. 1H_price_ema100_diff: 0.00755138
  63. 1H_price: 106653
  64. ¸

Long Trade on TAO

The 16 Jun 2025 at 07:31:11

With 4.7993 TAO at 378.4$ per unit.

Position size of 1816.0392 $

Take profit at 380.9004 (0.66 %) and Stop Loss at 376.7331 (0.44 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 20 %

Symbol Start at Seach Score Trade Score Trades Count
AVAX 2025-06-16 07:31:35 0.969 50 2
ETH 2025-06-16 07:22:15 0.965 -25 2
1000BONK 2025-06-16 07:24:57 0.9647 -5 2
WLD 2025-06-16 07:30:28 0.9684 40 1
BTC 2025-06-16 07:26:58 0.9665 60 1
TAI 2025-06-16 07:33:09 0.9658 40 1
BNB 2025-06-16 07:28:35 0.9648 40 1
ONDO 2025-06-16 07:17:24 0.96 -70 2
PEPE 2025-06-16 07:29:55 0.9581 50 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
07:31:11
16 Jun 2025
07:45:00
13 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
378.4 376.7331 380.9004 1.5 352.23
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 378.4
  • Stop Loss: 376.7331
  • Take Profit: 380.9004

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 376.7331 - 378.4 = -1.6669

  • Récompense (distance jusqu'au take profit):

    E - TP = 378.4 - 380.9004 = -2.5004

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -2.5004 / -1.6669 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1816.0392 100 4.7993 18.16
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 -1.6669

Taille de position = 8 / -1.6669 = -4.8

Taille de position USD = -4.8 x 378.4 = -1816.32

Donc, tu peux acheter -4.8 avec un stoploss a 376.7331

Avec un position size USD de -1816.32$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -4.8 x -1.6669 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -4.8 x -2.5004 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -4.8
  • Taille de position USD -1816.32
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.66 % 12 $
SL % Target SL $ Target
0.44 % 8 $
PNL PNL %
12 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 381.8
            [stop_loss] => 376.7
            [rr_ratio] => 2
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 382.65
            [stop_loss] => 376.7
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-16 07:45:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 383.5
            [stop_loss] => 376.7
            [rr_ratio] => 3
            [closed_at] => 2025-06-16 09:45:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 384.35
            [stop_loss] => 376.7
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-16 09:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 385.2
            [stop_loss] => 376.7
            [rr_ratio] => 4
            [closed_at] => 2025-06-16 10:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 386.05
            [stop_loss] => 376.7
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-16 10:30:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 386.9
            [stop_loss] => 376.7
            [rr_ratio] => 5
            [closed_at] => 2025-06-16 11:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 387.75
            [stop_loss] => 376.7
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-16 11:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 388.6
            [stop_loss] => 376.7
            [rr_ratio] => 6
            [closed_at] => 2025-06-16 11:25:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 389.45
            [stop_loss] => 376.7
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-16 12:10:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 390.3
            [stop_loss] => 376.7
            [rr_ratio] => 7
            [closed_at] => 2025-06-16 12:10:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 4.4
            [max_drawdown] => 0.5
            [rr_ratio] => 8.8
            [high] => 382.80000000
            [low] => 377.90000000
            [mfe_pct] => 1.16
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 8.8
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T07:31:11-04:00
            [end_at] => 2025-06-16T09:31:11-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 13.4
            [max_drawdown] => 0.5
            [rr_ratio] => 26.8
            [high] => 391.80000000
            [low] => 377.90000000
            [mfe_pct] => 3.54
            [mae_pct] => 0.13
            [mfe_mae_ratio] => 26.8
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T07:31:11-04:00
            [end_at] => 2025-06-16T13:31:11-04:00
        )

    [breakout] => Array
        (
            [high_before] => 384.74000000
            [high_after] => 391.80000000
            [low_before] => 377.39000000
            [low_after] => 377.90000000
            [is_new_high] => 1
            [is_new_low] => 
        )

)