Trade

buy - PEOPLE

Status
win
2025-07-16 19:40:16
39 minutes
PNL
1.31
Entry: 0.0229
Last: 0.02320000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0.9805
Prediction 1 Accuracy
Strong Trade
0.63
Prediction 2 Accuracy
0 0.42
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0001333411816
Details
  1. score: 2.06
  2. 1H
  3. ema9 - 0.0231842
  4. ema21 - 0.0227081
  5. ema50 - 0.0220266
  6. ema100 - 0.0215606
  7. price_ema9_diff - -0.012261
  8. ema9_ema21_diff - 0.0209658
  9. ema21_ema50_diff - 0.0309392
  10. price_ema100_diff - 0.0621201
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.555172
  14. kc_percentage - 0.568715
  15. kc_width_percentage - 0.0988862
  16. volume_ema_diff - 0.110786
  17. volume_ema1 - 414711.50599302
  18. volume_ema2 - 373349.44462611
  19. ¸
  20. 15m
  21. ema9 - 0.0232791
  22. ema21 - 0.0233813
  23. ema50 - 0.0230738
  24. ema100 - 0.0226319
  25. price_ema9_diff - -0.0162887
  26. ema9_ema21_diff - -0.00436851
  27. ema21_ema50_diff - 0.0133267
  28. price_ema100_diff - 0.011844
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.396116
  32. kc_percentage - 0.0648419
  33. kc_width_percentage - 0.0487015
  34. volume_ema_diff - -0.392598
  35. volume_ema1 - 78587.94847116
  36. volume_ema2 - 129383.77304824
  37. ¸
  38. 5m
  39. ema9 - 0.0229946
  40. ema21 - 0.0232014
  41. ema50 - 0.0233798
  42. ema100 - 0.023293
  43. price_ema9_diff - -0.00411577
  44. ema9_ema21_diff - -0.00891546
  45. ema21_ema50_diff - -0.00763065
  46. price_ema100_diff - -0.0168751
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.349077
  50. kc_percentage - -0.0644444
  51. kc_width_percentage - 0.0222461
  52. volume_ema_diff - -0.669979
  53. volume_ema1 - 12147.335241711
  54. volume_ema2 - 36807.851372109
  55. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 119210
  59. 5m_price_ema100_diff: -0.00390569
  60. 5m_price: 118745
  61. 5m_correlation_with_coin: 0.540512
  62. btc_indicators
  63. 15m_ema100: 118705
  64. 15m_price_ema100_diff: -0.00094957
  65. 15m_price: 118592
  66. btc_indicators
  67. 1H_ema100: 118361
  68. 1H_price_ema100_diff: 0.00323955
  69. 1H_price: 118745
  70. ¸

Long Trade on PEOPLE

The 16 Jul 2025 at 19:40:16

With 40000 PEOPLE at 0.0229$ per unit.

Position size of 915.9 $

Take profit at 0.0232 (1.3 %) and Stop Loss at 0.0227 (0.87 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -25.28 %

Symbol Start at Seach Score Trade Score Trades Count
XLM 2025-06-10 00:45:30 0.966 35 2
BOME 2025-07-16 19:35:23 0.9669 -100 1
OP 2025-06-10 00:12:17 0.9615 -100 3
ETC 2025-06-10 00:33:35 0.961 -56.67 3
SPX 2025-06-03 00:57:32 0.9615 30 2
ARB 2025-06-10 00:43:55 0.9612 40 1

📌 Time Data

Start at Closed at Duration
16 Jul 2025
19:40:16
16 Jul 2025
20:20:00
39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0229 0.0227 0.0232 1.5 0.02349
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 0.0229
  • Stop Loss: 0.0227
  • Take Profit: 0.0232

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0227 - 0.0229 = -0.0002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0229 - 0.0232 = -0.0003

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0003 / -0.0002 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
915.9 100 40000 9.16
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 0.0229 = -916

Donc, tu peux acheter -40000 avec un stoploss a 0.0227

Avec un position size USD de -916$

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 -0.0003 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -40000
  • Taille de position USD -916
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.87 % 8 $
PNL PNL %
12 $ 1.31
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.786 % 89.99 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.0233
            [stop_loss] => 0.0227
            [rr_ratio] => 2
            [closed_at] => 2025-07-16 20:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0234
            [stop_loss] => 0.0227
            [rr_ratio] => 2.5
            [closed_at] => 2025-07-16 20:20:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.0235
            [stop_loss] => 0.0227
            [rr_ratio] => 3
            [closed_at] => 2025-07-16 20:25:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0236
            [stop_loss] => 0.0227
            [rr_ratio] => 3.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.0237
            [stop_loss] => 0.0227
            [rr_ratio] => 4
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0238
            [stop_loss] => 0.0227
            [rr_ratio] => 4.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.0239
            [stop_loss] => 0.0227
            [rr_ratio] => 5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.024
            [stop_loss] => 0.0227
            [rr_ratio] => 5.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.0241
            [stop_loss] => 0.0227
            [rr_ratio] => 6
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.0242
            [stop_loss] => 0.0227
            [rr_ratio] => 6.5
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.0243
            [stop_loss] => 0.0227
            [rr_ratio] => 7
            [closed_at] => 2025-07-16 21:30:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)