Web3Way Logo

Trade

buy - ALGO

Status
loss
2025-06-16 17:29:58
2 seconds
PNL
-0.33
Entry: 0.184
Last: 0.18340000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -0.3595
Prediction 1 Probability
Weak Trade
0.7
Prediction 2 Probability
0 0.59
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.04

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.05
  4. atr: 0.0004059777694
Details
  1. score: 2.05
  2. 1H
  3. ema9 - 0.18389
  4. ema21 - 0.182059
  5. ema50 - 0.179996
  6. ema100 - 0.17979
  7. price_ema9_diff - 0.000597849
  8. ema9_ema21_diff - 0.0100543
  9. ema21_ema50_diff - 0.0114592
  10. price_ema100_diff - 0.0234148
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - True
  13. rsi - 0.595267
  14. kc_percentage - 0.746776
  15. kc_width_percentage - 0.0398109
  16. volume_ema_diff - 0.18035
    17. ¸
  17. 15m
  18. ema9 - 0.184944
  19. ema21 - 0.184659
  20. ema50 - 0.183273
  21. ema100 - 0.18082
  22. price_ema9_diff - -0.00510823
  23. ema9_ema21_diff - 0.00154514
  24. ema21_ema50_diff - 0.00756183
  25. price_ema100_diff - 0.017585
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.52414
  29. kc_percentage - 0.263015
  30. kc_width_percentage - 0.0159589
  31. volume_ema_diff - 0.371183
    32. ¸
  32. 5m
  33. ema9 - 0.18473
  34. ema21 - 0.184897
  35. ema50 - 0.184787
  36. ema100 - 0.184239
  37. price_ema9_diff - -0.00395175
  38. ema9_ema21_diff - -0.000905338
  39. ema21_ema50_diff - 0.000593373
  40. price_ema100_diff - -0.00130138
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.370336
  44. kc_percentage - -0.0454329
  45. kc_width_percentage - 0.00888941
  46. volume_ema_diff - 2.28911
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 107915
  50. 5m_price_ema100_diff: 0.00623629
  51. 5m_price: 108588
  52. 5m_correlation_with_coin: 0.690591
  53. btc_indicators
  54. 15m_ema100: 106897
  55. 15m_price_ema100_diff: 0.0153615
  56. 15m_price: 108540
  57. btc_indicators
  58. 1H_ema100: 106203
  59. 1H_price_ema100_diff: 0.0224535
  60. 1H_price: 108588
    61. ¸

Long Trade on ALGO

The 16 Jun 2025 at 17:29:58

With 13137.0083 ALGO at 0.184$ per unit.

Position size of 2417.2095 $

Take profit at 0.1849 (0.49 %) and Stop Loss at 0.1834 (0.33 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -36.95 %

Symbol Start at Seach Score Trade Score Trades Count
CRV 2025-06-10 00:41:32 0.9508 -46.67 3
KAS 2025-05-02 23:46:25 0.9477 -100 4
XTZ 2025-07-18 09:18:13 0.9462 -100 1
JUP 2025-07-28 03:39:09 0.9459 30 1
ARK 2025-04-12 18:02:04 0.9441 30 1
VVV 2025-08-20 07:44:39 0.9434 -35 2

📌 Time Data

Start at Closed at Duration
16 Jun 2025
17:29:58		 16 Jun 2025
17:30:00		 2 seconds

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.184 0.1834 0.1849 1.5 0.2597
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 0.184
  • Stop Loss: 0.1834
  • Take Profit: 0.1849

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1834 - 0.184 = -0.00059999999999999

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.184 - 0.1849 = -0.00090000000000001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00090000000000001 / -0.00059999999999999 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
2417.2095 100 13137.0083 24.17
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 -0.00059999999999999

Taille de position = 8 / -0.00059999999999999 = -13333.33

Taille de position USD = -13333.33 x 0.184 = -2453.33

Donc, tu peux acheter -13333.33 avec un stoploss a 0.1834

Avec un position size USD de -2453.33$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -13333.33 x -0.00059999999999999 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -13333.33 x -0.00090000000000001 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -13333.33
  • Taille de position USD -2453.33
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.49 % 11.82 $
SL % Target SL $ Target
0.33 % 7.88 $
PNL PNL %
-7.88 $ -0.33
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3261 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1849
            [entry_price] => 0.184
            [stop_loss] => 0.18334
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1849
            [entry_price] => 0.184
            [stop_loss] => 0.18328
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1849
            [entry_price] => 0.184
            [stop_loss] => 0.18322
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1849
            [entry_price] => 0.184
            [stop_loss] => 0.1831
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-16 17:35:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00020000000000001
            [max_drawdown] => 0.0065
            [rr_ratio] => 0.03
            [high] => 0.18420000
            [low] => 0.17750000
            [mfe_pct] => 0.11
            [mae_pct] => 3.53
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 24
            [start_at] => 2025-06-16T17:29:58-04:00
            [end_at] => 2025-06-16T19:29:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00020000000000001
            [max_drawdown] => 0.0123
            [rr_ratio] => 0.02
            [high] => 0.18420000
            [low] => 0.17170000
            [mfe_pct] => 0.11
            [mae_pct] => 6.68
            [mfe_mae_ratio] => 0.02
            [candles_analyzed] => 72
            [start_at] => 2025-06-16T17:29:58-04:00
            [end_at] => 2025-06-16T23:29:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.18620000
            [high_after] => 0.18420000
            [low_before] => 0.18340000
            [low_after] => 0.17170000
            [is_new_high] => 
            [is_new_low] => 
        )

)