Trade

buy - PEOPLE

Status
win
2025-06-03 16:33:11
6 minutes
PNL
1.04
Entry: 0.02218
Last: 0.02241000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.58
Prediction 1 Accuracy
Weak Trade
0.71
Prediction 2 Accuracy
0 0.7
ML Trade Score: 30

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.15
  4. atr: 0.0001021763693
Details
  1. score: 2.15
  2. 1H: ema9 - 0.0223711
  3. 1H: ema21 - 0.0220968
  4. 1H: ema50 - 0.0215573
  5. 1H: ema100 - 0.0210367
  6. 1H: price_ema9_diff - -0.00854466
  7. 1H: ema9_ema21_diff - 0.0124141
  8. 1H: ema21_ema50_diff - 0.0250276
  9. 1H: price_ema100_diff - 0.0543462
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.533479
  13. 1H: kc_percentage - 0.53402
  14. 1H: kc_width_percentage - 0.0797658
  15. ¸
  16. 15m: ema9 - 0.0224311
  17. 15m: ema21 - 0.0224517
  18. 15m: ema50 - 0.0223006
  19. 15m: ema100 - 0.0219789
  20. 15m: price_ema9_diff - -0.0111985
  21. 15m: ema9_ema21_diff - -0.00091708
  22. 15m: ema21_ema50_diff - 0.00677608
  23. 15m: price_ema100_diff - 0.00914562
  24. 15m: all_emas_in_trend - False
  25. 15m: all_emas_and_price_in_trend - False
  26. 15m: rsi - 0.409256
  27. 15m: kc_percentage - 0.147637
  28. 15m: kc_width_percentage - 0.0350165
  29. ¸
  30. 5m: ema9 - 0.0223973
  31. 5m: ema21 - 0.0224584
  32. 5m: ema50 - 0.0224831
  33. 5m: ema100 - 0.0224456
  34. 5m: price_ema9_diff - -0.00970307
  35. 5m: ema9_ema21_diff - -0.00271981
  36. 5m: ema21_ema50_diff - -0.00110185
  37. 5m: price_ema100_diff - -0.0118344
  38. 5m: all_emas_in_trend - True
  39. 5m: all_emas_and_price_in_trend - True
  40. 5m: rsi - 0.325687
  41. 5m: kc_percentage - -0.148853
  42. 5m: kc_width_percentage - 0.019193
  43. ¸

Long Trade on PEOPLE

The 03 Jun 2025 at 16:33:11

With 1158 PEOPLE at 0.02218$ per unit.

Take profit at 0.02241 (1 %) and Stop Loss at 0.02203 (0.68 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -46.25 %

Symbol Start at Seach Score Trade Score Trades Count
AAVE 2025-06-03 16:32:56 0.968 40 1
UNI 2025-06-03 16:32:47 0.9446 30 1
NEO 2025-05-11 02:58:15 0.9421 -100 2
AUCTION 2025-04-06 04:06:19 0.9433 -100 2
COMP 2025-06-06 09:31:49 0.9425 -100 4
SWARMS 2025-04-23 05:58:18 0.9395 -100 2
APE 2025-06-04 09:55:03 0.9394 60 1
BRETT 2025-05-09 10:28:25 0.9388 -100 1

📌 Time Data

Start at Closed at Duration
03 Jun 2025
16:33:11
03 Jun 2025
16:40:00
6 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02218 0.02203 0.02241 1.5 0.01916
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 0.02218
  • Stop Loss: 0.02203
  • Take Profit: 0.02241

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02203 - 0.02218 = -0.00015

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02218 - 0.02241 = -0.00023

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00023 / -0.00015 = 1.5333

📌 Position Size

Amount Margin Quantity Leverage
1158 100 52200 11.58
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 -0.00015

Taille de position = 8 / -0.00015 = -53333.33

Taille de position USD = -53333.33 x 0.02218 = -1182.93

Donc, tu peux acheter -53333.33 avec un stoploss a 0.02203

Avec un position size USD de -1182.93$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -53333.33 x -0.00015 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -53333.33 x -0.00023 = 12.27

Si Take Profit atteint, tu gagneras 12.27$

Résumé

  • Taille de position -53333.33
  • Taille de position USD -1182.93
  • Perte potentielle 8
  • Gain potentiel 12.27
  • Risk-Reward Ratio 1.5333

📌 Peformances

TP % Target TP $ Target
1 % 12 $
SL % Target SL $ Target
0.68 % 7.8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.04 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.02248
            [stop_loss] => 0.02203
            [rr_ratio] => 2
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.022555
            [stop_loss] => 0.02203
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.02263
            [stop_loss] => 0.02203
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.022705
            [stop_loss] => 0.02203
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.02278
            [stop_loss] => 0.02203
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.022855
            [stop_loss] => 0.02203
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.02293
            [stop_loss] => 0.02203
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 17:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)