Trade

sell - PEOPLE

Status
win
2025-08-15 02:09:41
50 minutes
PNL
0.66
Entry: 0.01962
Last: 0.01949000

Results

Status:
win
Trade Type:
sell
Prediction Score: 1.463
Prediction 1 Probability
Weak Trade
0.54
Prediction 2 Probability
0 0.37
Prediction 3 Probability
1 0.62
ML Trade Score: 110
ML Pullback Score: 8.09

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 5.594705463E-5
Details
  1. score: 1.07
  2. 1H
  3. ema9 - 0.0195075
  4. ema21 - 0.0198516
  5. ema50 - 0.0204041
  6. ema100 - 0.0205988
  7. price_ema9_diff - 0.00576518
  8. ema9_ema21_diff - -0.0173335
  9. ema21_ema50_diff - -0.0270763
  10. price_ema100_diff - -0.0475179
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.401231
  14. adx - 0.544566
  15. kc_percentage - 0.343843
  16. kc_width_percentage - 0.0648469
  17. volume_ema_diff - -0.825422
  18. volume_ema1 - 54729.541955612
  19. volume_ema2 - 313497.38974926
  20. ¸
  21. 15m
  22. ema9 - 0.0195063
  23. ema21 - 0.0194701
  24. ema50 - 0.0195784
  25. ema100 - 0.0200412
  26. price_ema9_diff - 0.00582766
  27. ema9_ema21_diff - 0.00185686
  28. ema21_ema50_diff - -0.0055289
  29. price_ema100_diff - -0.0210172
  30. all_emas_in_trend - False
  31. all_emas_and_price_in_trend - False
  32. rsi - 0.597561
  33. adx - 0.162478
  34. kc_percentage - 0.839718
  35. kc_width_percentage - 0.0221402
  36. volume_ema_diff - -0.728477
  37. volume_ema1 - 11527.811066421
  38. volume_ema2 - 42456.197190076
  39. ¸
  40. 5m
  41. ema9 - 0.0195099
  42. ema21 - 0.0194903
  43. ema50 - 0.0194626
  44. ema100 - 0.0193711
  45. price_ema9_diff - 0.00564322
  46. ema9_ema21_diff - 0.00100346
  47. ema21_ema50_diff - 0.00142227
  48. price_ema100_diff - 0.012849
  49. all_emas_in_trend - True
  50. all_emas_and_price_in_trend - True
  51. rsi - 0.635301
  52. adx - 0.164938
  53. kc_percentage - 1.06861
  54. kc_width_percentage - 0.0115863
  55. volume_ema_diff - 0.284103
  56. volume_ema1 - 6424.2590130549
  57. volume_ema2 - 5002.914979934
  58. ¸
  59. btc_indicators
  60. btc_indicators
  61. 5m_ema100: 118543
  62. 5m_price_ema100_diff: 0.00323077
  63. 5m_price: 118926
  64. 5m_correlation_with_coin: 0.53593
  65. btc_indicators
  66. 15m_ema100: 119331
  67. 15m_price_ema100_diff: -0.00339304
  68. 15m_price: 118926
  69. btc_indicators
  70. 1H_ema100: 120174
  71. 1H_price_ema100_diff: -0.0103906
  72. 1H_price: 118926
  73. ¸

Short Trade on PEOPLE

The 15 Aug 2025 at 02:09:41

With 95328.2236 PEOPLE at 0.01962$ per unit.

Position size of 1870.3397 $

Take profit at 0.01949 (0.66 %) and Stop Loss at 0.0197 (0.41 %)

That's a 1.62 RR Trade

📌 Similar Trades

Similar Trade Score: -71.11 %

Symbol Start at Seach Score Trade Score Trades Count
GALA 2025-08-15 02:10:33 0.9571 -100 3
VIRTUAL 2025-08-15 02:06:19 0.9646 -100 1
ORDI 2025-08-15 02:07:49 0.9628 -35 2
DYDX 2025-08-15 02:02:47 0.9623 -100 1
OP 2025-08-15 02:06:37 0.9463 -35 2
MANA 2025-08-15 02:09:12 0.9475 30 1
APE 2025-08-15 02:09:50 0.9431 -100 1
SUSHI 2025-08-15 02:09:03 0.9331 -100 1
ICP 2025-08-15 02:08:44 0.9328 -100 1

📌 Time Data

Start at Closed at Duration
15 Aug 2025
02:09:41
15 Aug 2025
03:00:00
50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.01962 0.0197 0.01949 1.62 0.02141
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 0.01962
  • Stop Loss: 0.0197
  • Take Profit: 0.01949

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.0197 - 0.01962 = 8.0E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.01962 - 0.01949 = 0.00013

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00013 / 8.0E-5 = 1.625

📌 Position Size

Amount Margin Quantity Leverage
1870.3397 100 95328.2236 18.70
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 8.0E-5

Taille de position = 8 / 8.0E-5 = 100000

Taille de position USD = 100000 x 0.01962 = 1962

Donc, tu peux acheter 100000 avec un stoploss a 0.0197

Avec un position size USD de 1962$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 100000 x 8.0E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 100000 x 0.00013 = 13

Si Take Profit atteint, tu gagneras 13$

Résumé

  • Taille de position 100000
  • Taille de position USD 1962
  • Perte potentielle 8
  • Gain potentiel 13
  • Risk-Reward Ratio 1.625

📌 Peformances

TP % Target TP $ Target
0.66 % 12.39 $
SL % Target SL $ Target
0.41 % 7.63 $
PNL PNL %
12.39 $ 0.66
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.3568 % 87.52 % 7

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.01946
            [stop_loss] => 0.0197
            [rr_ratio] => 2
            [closed_at] => 2025-08-15 03:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.01942
            [stop_loss] => 0.0197
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-15 03:50:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.01938
            [stop_loss] => 0.0197
            [rr_ratio] => 3
            [closed_at] => 2025-08-15 05:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.01934
            [stop_loss] => 0.0197
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-15 05:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.0193
            [stop_loss] => 0.0197
            [rr_ratio] => 4
            [closed_at] => 2025-08-15 05:40:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.01926
            [stop_loss] => 0.0197
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-15 05:50:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.01922
            [stop_loss] => 0.0197
            [rr_ratio] => 5
            [closed_at] => 2025-08-15 05:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.01918
            [stop_loss] => 0.0197
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-15 05:55:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00021
            [max_drawdown] => 7.0000000000001E-5
            [rr_ratio] => 3
            [high] => 0.01969000
            [low] => 0.01941000
            [mfe_pct] => 1.07
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 3
            [candles_analyzed] => 24
            [start_at] => 2025-08-15T02:09:41-04:00
            [end_at] => 2025-08-15T04:09:41-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00059
            [max_drawdown] => 7.0000000000001E-5
            [rr_ratio] => 8.43
            [high] => 0.01969000
            [low] => 0.01903000
            [mfe_pct] => 3.01
            [mae_pct] => 0.36
            [mfe_mae_ratio] => 8.43
            [candles_analyzed] => 84
            [start_at] => 2025-08-15T02:09:41-04:00
            [end_at] => 2025-08-15T09:09:41-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.01968000
            [high_after] => 0.01969000
            [low_before] => 0.01937000
            [low_after] => 0.01915000
            [is_new_high] => 
            [is_new_low] => 1
        )

)