Web3Way Logo

Trade

buy - APT

Status
loss
2025-06-16 18:45:38
4 minutes
PNL
-0.56
Entry: 4.7893
Last: 4.76200000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.59
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.4
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.1

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.01796912406
Details
  1. score: 2.28
  2. 1H
  3. ema9 - 4.78819
  4. ema21 - 4.71622
  5. ema50 - 4.6298
  6. ema100 - 4.60376
  7. price_ema9_diff - 0.000230254
  8. ema9_ema21_diff - 0.0152601
  9. ema21_ema50_diff - 0.0186667
  10. price_ema100_diff - 0.0402996
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.643834
  14. kc_percentage - 0.816789
  15. kc_width_percentage - 0.0448658
  16. volume_ema_diff - 0.211896
    17. ¸
  17. 15m
  18. ema9 - 4.83336
  19. ema21 - 4.81891
  20. ema50 - 4.76431
  21. ema100 - 4.69786
  22. price_ema9_diff - -0.00911719
  23. ema9_ema21_diff - 0.00299852
  24. ema21_ema50_diff - 0.0114608
  25. price_ema100_diff - 0.0194621
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.462825
  29. kc_percentage - 0.233296
  30. kc_width_percentage - 0.0246463
  31. volume_ema_diff - 1.27168
    32. ¸
  32. 5m
  33. ema9 - 4.8406
  34. ema21 - 4.85123
  35. ema50 - 4.83491
  36. ema100 - 4.80494
  37. price_ema9_diff - -0.0105986
  38. ema9_ema21_diff - -0.00219046
  39. ema21_ema50_diff - 0.00337436
  40. price_ema100_diff - -0.00325702
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.311496
  44. kc_percentage - -0.281879
  45. kc_width_percentage - 0.0165635
  46. volume_ema_diff - 2.84861
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 108175
  50. 5m_price_ema100_diff: -0.00673633
  51. 5m_price: 107446
  52. 5m_correlation_with_coin: 0.639285
  53. btc_indicators
  54. 15m_ema100: 107101
  55. 15m_price_ema100_diff: 0.00321741
  56. 15m_price: 107446
  57. btc_indicators
  58. 1H_ema100: 106120
  59. 1H_price_ema100_diff: 0.0124899
  60. 1H_price: 107446
    61. ¸

Long Trade on APT

The 16 Jun 2025 at 18:45:38

With 296.8054 APT at 4.7893$ per unit.

Position size of 1421.4902 $

Take profit at 4.8297 (0.84 %) and Stop Loss at 4.7623 (0.56 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -44 %

Symbol Start at Seach Score Trade Score Trades Count
A2Z 2025-08-07 23:18:31 0.9731 -100 1
CTSI 2025-08-16 13:22:53 0.9717 30 1
MKR 2025-06-03 11:48:43 0.9704 30 1
WCT 2025-05-14 05:17:22 0.9697 -100 1
APE 2025-08-09 07:40:58 0.9686 60 1
TOSHI 2025-07-16 15:54:46 0.968 -100 1
RPL 2025-07-27 15:24:41 0.9677 -100 2
BGB 2025-05-23 04:15:06 0.9667 -100 2
ZORA 2025-07-26 21:32:33 0.9671 40 1
SHIB 2025-06-02 23:08:40 0.967 -100 1

📌 Time Data

Start at Closed at Duration
16 Jun 2025
18:45:38		 16 Jun 2025
18:50:00		 4 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.7893 4.7623 4.8297 1.5 4.7701
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 4.7893
  • Stop Loss: 4.7623
  • Take Profit: 4.8297

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.7623 - 4.7893 = -0.027

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.7893 - 4.8297 = -0.0404

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0404 / -0.027 = 1.4963

📌 Position Size

Amount Margin Quantity Leverage
1421.4902 100 296.8054 14.21
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 -0.027

Taille de position = 8 / -0.027 = -296.3

Taille de position USD = -296.3 x 4.7893 = -1419.07

Donc, tu peux acheter -296.3 avec un stoploss a 4.7623

Avec un position size USD de -1419.07$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -296.3 x -0.027 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -296.3 x -0.0404 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position -296.3
  • Taille de position USD -1419.07
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4963

📌 Peformances

TP % Target TP $ Target
0.84 % 11.99 $
SL % Target SL $ Target
0.56 % 8.01 $
PNL PNL %
-8.01 $ -0.56
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.877 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.83
            [entry_price] => 4.789
            [stop_loss] => 4.7593
            [rr_ratio] => 1.38
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-16 18:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.83
            [entry_price] => 4.789
            [stop_loss] => 4.7566
            [rr_ratio] => 1.27
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-16 18:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.83
            [entry_price] => 4.789
            [stop_loss] => 4.7539
            [rr_ratio] => 1.17
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-16 18:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.83
            [entry_price] => 4.789
            [stop_loss] => 4.7485
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-16 18:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0144
            [max_drawdown] => 0.2066
            [rr_ratio] => 0.07
            [high] => 4.80370000
            [low] => 4.58270000
            [mfe_pct] => 0.3
            [mae_pct] => 4.31
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T18:45:38-04:00
            [end_at] => 2025-06-16T20:45:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0144
            [max_drawdown] => 0.2066
            [rr_ratio] => 0.07
            [high] => 4.80370000
            [low] => 4.58270000
            [mfe_pct] => 0.3
            [mae_pct] => 4.31
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T18:45:38-04:00
            [end_at] => 2025-06-17T00:45:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.89980000
            [high_after] => 4.80370000
            [low_before] => 4.74400000
            [low_after] => 4.58270000
            [is_new_high] => 
            [is_new_low] => 
        )

)