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Trade

buy - PEOPLE

Status
win
2025-07-16 20:02:38
12 minutes
PNL
1.27
Entry: 0.02283
Last: 0.02312000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.0778
Prediction 1 Accuracy
Strong Trade
0.68
Prediction 2 Accuracy
0 0.38
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.01
  4. atr: 0.000130819484
Details
  1. score: 2.01
  2. 1H
  3. ema9 - 0.0231038
  4. ema21 - 0.0227143
  5. ema50 - 0.0220617
  6. ema100 - 0.0216279
  7. price_ema9_diff - -0.0118513
  8. ema9_ema21_diff - 0.0171479
  9. ema21_ema50_diff - 0.0295773
  10. price_ema100_diff - 0.0555797
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.54495
  14. kc_percentage - 0.539608
  15. kc_width_percentage - 0.0913553
  16. volume_ema_diff - -0.106551
  17. volume_ema1 - 325968.01157196
  18. volume_ema2 - 364842.42817039
    19. ¸
  19. 15m
  20. ema9 - 0.0231344
  21. ema21 - 0.0232955
  22. ema50 - 0.0230651
  23. ema100 - 0.022682
  24. price_ema9_diff - -0.0131596
  25. ema9_ema21_diff - -0.00691405
  26. ema21_ema50_diff - 0.00998907
  27. price_ema100_diff - 0.00652096
  28. all_emas_in_trend - False
  29. all_emas_and_price_in_trend - False
  30. rsi - 0.387456
  31. kc_percentage - 0.0616684
  32. kc_width_percentage - 0.0464478
  33. volume_ema_diff - -0.322585
  34. volume_ema1 - 85756.713740887
  35. volume_ema2 - 126594.13275314
    36. ¸
  36. 5m
  37. ema9 - 0.0229172
  38. ema21 - 0.0230975
  39. ema50 - 0.0233022
  40. ema100 - 0.0232328
  41. price_ema9_diff - -0.00380778
  42. ema9_ema21_diff - -0.00780445
  43. ema21_ema50_diff - -0.00878538
  44. price_ema100_diff - -0.0173401
  45. all_emas_in_trend - True
  46. all_emas_and_price_in_trend - True
  47. rsi - 0.351946
  48. kc_percentage - -0.00666769
  49. kc_width_percentage - 0.0219426
  50. volume_ema_diff - 0.248811
  51. volume_ema1 - 45532.063871524
  52. volume_ema2 - 36460.309932248
    53. ¸
  53. btc_indicators
  54. btc_indicators
  55. 5m_ema100: 119148
  56. 5m_price_ema100_diff: -0.00440389
  57. 5m_price: 118623
  58. 5m_correlation_with_coin: 0.506324
  59. btc_indicators
  60. 15m_ema100: 118674
  61. 15m_price_ema100_diff: -0.000429486
  62. 15m_price: 118623
  63. btc_indicators
  64. 1H_ema100: 118427
  65. 1H_price_ema100_diff: 0.00165833
  66. 1H_price: 118623
    67. ¸

Long Trade on PEOPLE

The 16 Jul 2025 at 20:02:38

With 40770 PEOPLE at 0.02283$ per unit.

Position size of 930.7 $

Take profit at 0.02312 (1.3 %) and Stop Loss at 0.02263 (0.88 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -7.62 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-07-16 19:55:44 0.9659 -100 1
OP 2025-06-10 00:33:13 0.958 -40 5
APT 2025-06-10 00:32:57 0.956 36.67 3
ETC 2025-06-10 00:48:15 0.9561 30 1
ARB 2025-06-10 00:50:37 0.9561 60 1
ZBCN 2025-06-02 00:02:33 0.9552 -100 1
BCH 2025-05-07 02:30:12 0.9549 60 1

📌 Time Data

Start at Closed at Duration
16 Jul 2025
20:02:38		 16 Jul 2025
20:15:00		 12 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02283 0.02263 0.02312 1.5 0.02376
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 0.02283
  • Stop Loss: 0.02263
  • Take Profit: 0.02312

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02263 - 0.02283 = -0.0002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02283 - 0.02312 = -0.00029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00029 / -0.0002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
930.7 100 40770 9.31
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 -0.0002

Taille de position = 8 / -0.0002 = -40000

Taille de position USD = -40000 x 0.02283 = -913.2

Donc, tu peux acheter -40000 avec un stoploss a 0.02263

Avec un position size USD de -913.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -40000 x -0.0002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -40000 x -0.00029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position -40000
  • Taille de position USD -913.2
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.88 % 8.2 $
PNL PNL %
12 $ 1.27
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4818 % 55 % 2

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02323
            [stop_loss] => 0.02263
            [rr_ratio] => 2
            [closed_at] => 2025-07-16 20:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.02333
            [stop_loss] => 0.02263
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-16 20:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.02343
            [stop_loss] => 0.02263
            [rr_ratio] => 3
            [closed_at] => 2025-07-16 20:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.02353
            [stop_loss] => 0.02263
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02363
            [stop_loss] => 0.02263
            [rr_ratio] => 4
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.02373
            [stop_loss] => 0.02263
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02383
            [stop_loss] => 0.02263
            [rr_ratio] => 5
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.02393
            [stop_loss] => 0.02263
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.02403
            [stop_loss] => 0.02263
            [rr_ratio] => 6
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.02413
            [stop_loss] => 0.02263
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.02423
            [stop_loss] => 0.02263
            [rr_ratio] => 7
            [closed_at] => 2025-07-16 21:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)