Web3Way Logo

Trade

sell - AI16Z

Status
win
2025-06-21 20:50:26
1 hour
PNL
1.63
Entry: 0.1472
Last: 0.14480000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4821
Prediction 1 Probability
Weak Trade
0.58
Prediction 2 Probability
0 0.41
Prediction 3 Probability
n/a
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001084731914
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.144923
  4. ema21 - 0.148109
  5. ema50 - 0.153591
  6. ema100 - 0.158573
  7. price_ema9_diff - 0.0157093
  8. ema9_ema21_diff - -0.0215103
  9. ema21_ema50_diff - -0.0356962
  10. price_ema100_diff - -0.0717244
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.451747
  14. kc_percentage - 0.459291
  15. kc_width_percentage - 0.109705
  16. volume_ema_diff - -0.0707329
  17. volume_ema1 - 355119.4112763
  18. volume_ema2 - 382149.99889359
    19. ¸
  19. 15m
  20. ema9 - 0.144672
  21. ema21 - 0.14372
  22. ema50 - 0.145507
  23. ema100 - 0.148224
  24. price_ema9_diff - 0.0174708
  25. ema9_ema21_diff - 0.00662612
  26. ema21_ema50_diff - -0.0122848
  27. price_ema100_diff - -0.00690884
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.621024
  31. kc_percentage - 0.909847
  32. kc_width_percentage - 0.0577934
  33. volume_ema_diff - -0.133277
  34. volume_ema1 - 78582.375178797
  35. volume_ema2 - 90666.173293092
    36. ¸
  36. 5m
  37. ema9 - 0.146631
  38. ema21 - 0.14489
  39. ema50 - 0.143485
  40. ema100 - 0.143631
  41. price_ema9_diff - 0.00387839
  42. ema9_ema21_diff - 0.0120129
  43. ema21_ema50_diff - 0.00979679
  44. price_ema100_diff - 0.024846
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.64867
  48. kc_percentage - 1.02011
  49. kc_width_percentage - 0.0287277
  50. volume_ema_diff - -0.368888
  51. volume_ema1 - 18574.543728788
  52. volume_ema2 - 29431.478040513
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 102380
  56. 5m_price_ema100_diff: 0.00405046
  57. 5m_price: 102794
  58. 5m_correlation_with_coin: 0.794468
  59. btc_indicators
  60. 15m_ema100: 102901
  61. 15m_price_ema100_diff: -0.00103994
  62. 15m_price: 102794
  63. btc_indicators
  64. 1H_ema100: 103936
  65. 1H_price_ema100_diff: -0.0109807
  66. 1H_price: 102794
    67. ¸

Short Trade on AI16Z

The 21 Jun 2025 at 20:50:26

With 4916.7294 AI16Z at 0.1472$ per unit.

Position size of 723.7426 $

Take profit at 0.1448 (1.63 %) and Stop Loss at 0.1488 (1.09 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -8.13 %

Symbol Start at Seach Score Trade Score Trades Count
BB 2025-06-21 20:52:55 0.9799 45 4
BRETT 2025-06-21 20:41:16 0.973 30 1
SUI 2025-06-21 20:47:05 0.972 30 1
AIXBT 2025-06-21 21:07:58 0.9711 30 1
ATOM 2025-06-21 20:54:00 0.9702 30 1
BNB 2025-03-26 21:24:59 0.9689 -100 1
MOVE 2025-05-15 13:11:31 0.9681 -30 2
SEI 2025-05-15 13:02:49 0.9675 -100 2

📌 Time Data

Start at Closed at Duration
21 Jun 2025
20:50:26		 21 Jun 2025
21:55:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1472 0.1488 0.1448 1.5 0.127
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 0.1472
  • Stop Loss: 0.1488
  • Take Profit: 0.1448

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1488 - 0.1472 = 0.0016

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1472 - 0.1448 = 0.0024

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0024 / 0.0016 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
723.7426 100 4916.7294 7.24
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 0.0016

Taille de position = 8 / 0.0016 = 5000

Taille de position USD = 5000 x 0.1472 = 736

Donc, tu peux acheter 5000 avec un stoploss a 0.1488

Avec un position size USD de 736$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 5000 x 0.0016 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 5000 x 0.0024 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 5000
  • Taille de position USD 736
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.63 % 11.8 $
SL % Target SL $ Target
1.09 % 7.87 $
PNL PNL %
11.8 $ 1.63
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2717 % 25 % 5

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.144
            [stop_loss] => 0.1488
            [rr_ratio] => 2
            [closed_at] => 2025-06-21 22:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.1432
            [stop_loss] => 0.1488
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-21 22:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1424
            [stop_loss] => 0.1488
            [rr_ratio] => 3
            [closed_at] => 2025-06-21 22:30:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.1416
            [stop_loss] => 0.1488
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-21 22:30:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1408
            [stop_loss] => 0.1488
            [rr_ratio] => 4
            [closed_at] => 2025-06-21 23:20:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.14
            [stop_loss] => 0.1488
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-21 23:25:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1392
            [stop_loss] => 0.1488
            [rr_ratio] => 5
            [closed_at] => 2025-06-22 00:35:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.1384
            [stop_loss] => 0.1488
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-22 01:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0056
            [max_drawdown] => 0.00040000000000001
            [rr_ratio] => 14
            [high] => 0.14760000
            [low] => 0.14160000
            [mfe_pct] => 3.8
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 14
            [candles_analyzed] => 24
            [start_at] => 2025-06-21T20:50:26-04:00
            [end_at] => 2025-06-21T22:50:26-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0092
            [max_drawdown] => 0.00040000000000001
            [rr_ratio] => 23
            [high] => 0.14760000
            [low] => 0.13800000
            [mfe_pct] => 6.25
            [mae_pct] => 0.27
            [mfe_mae_ratio] => 23
            [candles_analyzed] => 72
            [start_at] => 2025-06-21T20:50:26-04:00
            [end_at] => 2025-06-22T02:50:26-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14850000
            [high_after] => 0.14760000
            [low_before] => 0.13480000
            [low_after] => 0.13800000
            [is_new_high] => 
            [is_new_low] => 
        )

)