Web3Way Logo

Trade

buy - WIF

Status
win
2025-07-16 15:13:11
1 hour
PNL
1.73
Entry: 1.099
Last: 1.11800000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.1
Prediction 1 Accuracy
Weak Trade
0.6
Prediction 2 Accuracy
0 0.61
ML Trade Score: 50

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.00838506331
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 1.10375
  4. ema21 - 1.08638
  5. ema50 - 1.05652
  6. ema100 - 1.02552
  7. price_ema9_diff - -0.00449235
  8. ema9_ema21_diff - 0.0159942
  9. ema21_ema50_diff - 0.0282617
  10. price_ema100_diff - 0.0714535
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.559542
  14. kc_percentage - 0.603921
  15. kc_width_percentage - 0.0964234
  16. volume_ema_diff - -0.0395858
  17. volume_ema1 - 4603688.9831803
  18. volume_ema2 - 4793441.616055
    19. ¸
  19. 15m
  20. ema9 - 1.11427
  21. ema21 - 1.1116
  22. ema50 - 1.09911
  23. ema100 - 1.08244
  24. price_ema9_diff - -0.0138909
  25. ema9_ema21_diff - 0.00240323
  26. ema21_ema50_diff - 0.0113629
  27. price_ema100_diff - 0.0151051
  28. all_emas_in_trend - True
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.437542
  31. kc_percentage - 0.275489
  32. kc_width_percentage - 0.0534657
  33. volume_ema_diff - 0.109701
  34. volume_ema1 - 1551949.2215158
  35. volume_ema2 - 1398528.5611447
    36. ¸
  36. 5m
  37. ema9 - 1.1104
  38. ema21 - 1.11624
  39. ema50 - 1.11473
  40. ema100 - 1.10843
  41. price_ema9_diff - -0.0104476
  42. ema9_ema21_diff - -0.00523296
  43. ema21_ema50_diff - 0.00135581
  44. price_ema100_diff - -0.00869614
  45. all_emas_in_trend - False
  46. all_emas_and_price_in_trend - False
  47. rsi - 0.330853
  48. kc_percentage - -0.0277527
  49. kc_width_percentage - 0.0297819
  50. volume_ema_diff - -0.0919606
  51. volume_ema1 - 471772.44930185
  52. volume_ema2 - 519550.6379722
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 119061
  56. 5m_price_ema100_diff: 0.00275557
  57. 5m_price: 119390
  58. 5m_correlation_with_coin: 0.572925
  59. btc_indicators
  60. 15m_ema100: 118316
  61. 15m_price_ema100_diff: 0.00907504
  62. 15m_price: 119390
  63. btc_indicators
  64. 1H_ema100: 118331
  65. 1H_price_ema100_diff: 0.00894178
  66. 1H_price: 119390
    67. ¸

Long Trade on WIF

The 16 Jul 2025 at 15:13:11

With 636.1 WIF at 1.099$ per unit.

Position size of 698.9 $

Take profit at 1.118 (1.7 %) and Stop Loss at 1.086 (1.2 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 7.5 %

Symbol Start at Seach Score Trade Score Trades Count
SEI 2025-05-09 00:02:06 0.9571 30 2
ONDO 2025-05-08 23:59:31 0.9533 40 1
SHIB 2025-05-09 00:01:00 0.9499 35 2
1000BONK 2025-05-08 23:52:45 0.9483 -35 2
WIF 2025-05-08 23:48:54 0.9487 -100 4
1000000MOG 2025-07-11 11:54:15 0.9493 30 1
ARB 2025-05-08 23:58:39 0.9487 30 1
INJ 2025-06-24 04:14:11 0.9477 30 1

📌 Time Data

Start at Closed at Duration
16 Jul 2025
15:13:11		 16 Jul 2025
16:25:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.099 1.086 1.118 1.5 1.122
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 1.099
  • Stop Loss: 1.086
  • Take Profit: 1.118

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.086 - 1.099 = -0.013

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.099 - 1.118 = -0.019

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.019 / -0.013 = 1.4615

📌 Position Size

Amount Margin Quantity Leverage
698.9 100 636.1 6.99
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 -0.013

Taille de position = 8 / -0.013 = -615.38

Taille de position USD = -615.38 x 1.099 = -676.3

Donc, tu peux acheter -615.38 avec un stoploss a 1.086

Avec un position size USD de -676.3$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -615.38 x -0.013 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -615.38 x -0.019 = 11.69

Si Take Profit atteint, tu gagneras 11.69$

Résumé

  • Taille de position -615.38
  • Taille de position USD -676.3
  • Perte potentielle 8
  • Gain potentiel 11.69
  • Risk-Reward Ratio 1.4615

📌 Peformances

TP % Target TP $ Target
1.7 % 12 $
SL % Target SL $ Target
1.2 % 8.3 $
PNL PNL %
12 $ 1.73
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5641 % 47.69 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.125
            [stop_loss] => 1.086
            [rr_ratio] => 2
            [closed_at] => 2025-07-16 16:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.1315
            [stop_loss] => 1.086
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-16 17:25:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.138
            [stop_loss] => 1.086
            [rr_ratio] => 3
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 1.1445
            [stop_loss] => 1.086
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.151
            [stop_loss] => 1.086
            [rr_ratio] => 4
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.1575
            [stop_loss] => 1.086
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.164
            [stop_loss] => 1.086
            [rr_ratio] => 5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.1705
            [stop_loss] => 1.086
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.177
            [stop_loss] => 1.086
            [rr_ratio] => 6
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.1835
            [stop_loss] => 1.086
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.19
            [stop_loss] => 1.086
            [rr_ratio] => 7
            [closed_at] => 2025-07-16 19:00:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)