Web3Way Logo

Trade

buy - JTO

Status
win
2025-06-15 21:07:51
27 minutes
PNL
1.29
Entry: 2.174
Last: 2.20200000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.7604
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
1 0.4
ML Trade Score: 140

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.01256710427
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 2.18397
  4. ema21 - 2.13654
  5. ema50 - 2.07071
  6. ema100 - 2.04643
  7. price_ema9_diff - -0.00451933
  8. ema9_ema21_diff - 0.0221986
  9. ema21_ema50_diff - 0.0317914
  10. price_ema100_diff - 0.0623862
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.588189
  14. kc_percentage - 0.698415
  15. kc_width_percentage - 0.0784334
  16. volume_ema_diff - 0.339803
    17. ¸
  17. 15m
  18. ema9 - 2.19971
  19. ema21 - 2.19763
  20. ema50 - 2.16783
  21. ema100 - 2.11569
  22. price_ema9_diff - -0.0116436
  23. ema9_ema21_diff - 0.000945045
  24. ema21_ema50_diff - 0.0137455
  25. price_ema100_diff - 0.0276039
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.434111
  29. kc_percentage - 0.22603
  30. kc_width_percentage - 0.0404902
  31. volume_ema_diff - -0.0916513
    32. ¸
  32. 5m
  33. ema9 - 2.19134
  34. ema21 - 2.20265
  35. ema50 - 2.20365
  36. ema100 - 2.20274
  37. price_ema9_diff - -0.00786797
  38. ema9_ema21_diff - -0.0051357
  39. ema21_ema50_diff - -0.000455591
  40. price_ema100_diff - -0.0130031
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.324073
  44. kc_percentage - -0.0664871
  45. kc_width_percentage - 0.0228193
  46. volume_ema_diff - -0.181968
    47. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 105274
  50. 5m_price_ema100_diff: 0.000449665
  51. 5m_price: 105322
  52. 5m_correlation_with_coin: 0.562499
  53. btc_indicators
  54. 15m_ema100: 105288
  55. 15m_price_ema100_diff: 0.000316823
  56. 15m_price: 105322
  57. btc_indicators
  58. 1H_ema100: 105796
  59. 1H_price_ema100_diff: -0.00448658
  60. 1H_price: 105322
    61. ¸

Long Trade on JTO

The 15 Jun 2025 at 21:07:51

With 424.4 JTO at 2.174$ per unit.

Position size of 922.7 $

Take profit at 2.202 (1.3 %) and Stop Loss at 2.155 (0.87 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -21.5 %

Symbol Start at Seach Score Trade Score Trades Count
SAND 2025-06-24 04:16:39 0.9662 -25 2
SUI 2025-06-24 04:09:00 0.9637 30 2
SWEAT 2025-06-08 23:48:05 0.9637 -100 2
TIA 2025-06-24 04:17:01 0.9638 40 1
VET 2025-06-24 04:14:26 0.9596 40 1
ORDI 2025-06-24 04:16:07 0.9573 30 1
ENA 2025-06-24 04:06:28 0.9573 -60 1
FLOKI 2025-06-24 04:15:00 0.957 -100 1
TAIKO 2025-06-24 04:24:23 0.9568 -100 1
HBAR 2025-06-24 04:13:55 0.9564 30 1

📌 Time Data

Start at Closed at Duration
15 Jun 2025
21:07:51		 15 Jun 2025
21:35:00		 27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.174 2.155 2.202 1.5 1.961
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 2.174
  • Stop Loss: 2.155
  • Take Profit: 2.202

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.155 - 2.174 = -0.019

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.174 - 2.202 = -0.028

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.028 / -0.019 = 1.4737

📌 Position Size

Amount Margin Quantity Leverage
922.7 100 424.4 9.23
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 -0.019

Taille de position = 8 / -0.019 = -421.05

Taille de position USD = -421.05 x 2.174 = -915.36

Donc, tu peux acheter -421.05 avec un stoploss a 2.155

Avec un position size USD de -915.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -421.05 x -0.019 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -421.05 x -0.028 = 11.79

Si Take Profit atteint, tu gagneras 11.79$

Résumé

  • Taille de position -421.05
  • Taille de position USD -915.36
  • Perte potentielle 8
  • Gain potentiel 11.79
  • Risk-Reward Ratio 1.4737

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.87 % 8.1 $
PNL PNL %
12 $ 1.29
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.299 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.212
            [stop_loss] => 2.155
            [rr_ratio] => 2
            [closed_at] => 2025-06-15 21:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.2215
            [stop_loss] => 2.155
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-15 21:35:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.231
            [stop_loss] => 2.155
            [rr_ratio] => 3
            [closed_at] => 2025-06-15 21:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.2405
            [stop_loss] => 2.155
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-15 21:35:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 2.25
            [stop_loss] => 2.155
            [rr_ratio] => 4
            [closed_at] => 2025-06-15 21:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 2.2595
            [stop_loss] => 2.155
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 2.269
            [stop_loss] => 2.155
            [rr_ratio] => 5
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 2.2785
            [stop_loss] => 2.155
            [rr_ratio] => 5.5
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 2.288
            [stop_loss] => 2.155
            [rr_ratio] => 6
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 2.2975
            [stop_loss] => 2.155
            [rr_ratio] => 6.5
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 2.307
            [stop_loss] => 2.155
            [rr_ratio] => 7
            [closed_at] => 2025-06-15 21:45:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)