Web3Way Logo

Trade

buy - GOAT

Status
win
2025-06-09 23:21:47
1 hour
PNL
1.16
Entry: 0.1292
Last: 0.13070000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.9333
Prediction 1 Accuracy
Strong Trade
0.69
Prediction 2 Accuracy
1 0.49
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.0006654588645
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.129639
  4. ema21 - 0.127
  5. ema50 - 0.123676
  6. ema100 - 0.120601
  7. price_ema9_diff - -0.00339047
  8. ema9_ema21_diff - 0.0207769
  9. ema21_ema50_diff - 0.0268816
  10. price_ema100_diff - 0.0712957
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.601265
  14. kc_percentage - 0.70431
  15. kc_width_percentage - 0.0764811
  16. volume_ema_diff - 0.238159
    17. ¸
  17. 15m
  18. ema9 - 0.130645
  19. ema21 - 0.130764
  20. ema50 - 0.128839
  21. ema100 - 0.126122
  22. price_ema9_diff - -0.0110671
  23. ema9_ema21_diff - -0.000906812
  24. ema21_ema50_diff - 0.0149413
  25. price_ema100_diff - 0.0244005
  26. all_emas_in_trend - False
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.437114
  29. kc_percentage - 0.178586
  30. kc_width_percentage - 0.0386458
  31. volume_ema_diff - 0.00287047
    32. ¸
  32. 5m
  33. ema9 - 0.129881
  34. ema21 - 0.130543
  35. ema50 - 0.130937
  36. ema100 - 0.130101
  37. price_ema9_diff - -0.00524486
  38. ema9_ema21_diff - -0.00506987
  39. ema21_ema50_diff - -0.00301292
  40. price_ema100_diff - -0.00692699
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.34262
  44. kc_percentage - -0.00516058
  45. kc_width_percentage - 0.0199077
  46. volume_ema_diff - -0.0438378
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 109501
  50. 5m_price_ema100_diff: -0.000337243
  51. 5m_price: 109464
  52. 5m_correlation_with_coin: 0.592545
  53. btc_indicators
  54. 15m_ema100: 108137
  55. 15m_price_ema100_diff: 0.0122695
  56. 15m_price: 109464
  57. btc_indicators
  58. 1H_ema100: 105861
  59. 1H_price_ema100_diff: 0.0340329
  60. 1H_price: 109464
    61. ¸

Long Trade on GOAT

The 09 Jun 2025 at 23:21:47

With 8015 GOAT at 0.1292$ per unit.

Position size of 1035 $

Take profit at 0.1307 (1.2 %) and Stop Loss at 0.1282 (0.77 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -24.58 %

Symbol Start at Seach Score Trade Score Trades Count
FLOKI 2025-06-09 23:29:05 0.9746 -56.67 3
OP 2025-06-09 23:37:01 0.971 -100 3
SPX 2025-06-03 00:17:38 0.9669 -100 2
SOL 2025-06-09 23:34:38 0.9681 30 1
LDO 2025-06-09 23:36:27 0.9674 60 1
SHIB 2025-07-06 14:53:02 0.9666 40 1
PNUT 2025-06-09 23:31:56 0.965 30 1
ARB 2025-06-09 23:36:45 0.9638 -100 1

📌 Time Data

Start at Closed at Duration
09 Jun 2025
23:21:47		 10 Jun 2025
01:15:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1292 0.1282 0.1307 1.5 0.1002
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 0.1292
  • Stop Loss: 0.1282
  • Take Profit: 0.1307

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1282 - 0.1292 = -0.001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1292 - 0.1307 = -0.0015

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0015 / -0.001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1035 100 8015 10.35
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 -0.001

Taille de position = 8 / -0.001 = -8000

Taille de position USD = -8000 x 0.1292 = -1033.6

Donc, tu peux acheter -8000 avec un stoploss a 0.1282

Avec un position size USD de -1033.6$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8000 x -0.001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8000 x -0.0015 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -8000
  • Taille de position USD -1033.6
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.2 % 12 $
SL % Target SL $ Target
0.77 % 8 $
PNL PNL %
12 $ 1.16
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4876 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1312
            [stop_loss] => 0.1282
            [rr_ratio] => 2
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.1317
            [stop_loss] => 0.1282
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1322
            [stop_loss] => 0.1282
            [rr_ratio] => 3
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.1327
            [stop_loss] => 0.1282
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1332
            [stop_loss] => 0.1282
            [rr_ratio] => 4
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.1337
            [stop_loss] => 0.1282
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1342
            [stop_loss] => 0.1282
            [rr_ratio] => 5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.1347
            [stop_loss] => 0.1282
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1352
            [stop_loss] => 0.1282
            [rr_ratio] => 6
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.1357
            [stop_loss] => 0.1282
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1362
            [stop_loss] => 0.1282
            [rr_ratio] => 7
            [closed_at] => 2025-06-10 01:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)