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Trade

buy - CHILLGUY

Status
win
2025-06-02 23:31:09
18 minutes
PNL
1.37
Entry: 0.0729
Last: 0.07390000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.07
Prediction 1 Accuracy
Weak Trade
0.68
Prediction 2 Accuracy
0 0.63
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 0.0004465412731
Details
  1. score: 2.06
  2. 1H: ema9 - 0.073704
  3. 1H: ema21 - 0.0722982
  4. 1H: ema50 - 0.0706373
  5. 1H: ema100 - 0.0703344
  6. 1H: price_ema9_diff - -0.0109091
  7. 1H: ema9_ema21_diff - 0.0194447
  8. 1H: ema21_ema50_diff - 0.0235124
  9. 1H: price_ema100_diff - 0.0364763
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.530381
  13. 1H: kc_percentage - 0.550192
  14. 1H: kc_width_percentage - 0.136889
    15. ¸
  15. 15m: ema9 - 0.0739761
  16. 15m: ema21 - 0.0741741
  17. 15m: ema50 - 0.0733198
  18. 15m: ema100 - 0.0720839
  19. 15m: price_ema9_diff - -0.0145477
  20. 15m: ema9_ema21_diff - -0.0026686
  21. 15m: ema21_ema50_diff - 0.011651
  22. 15m: price_ema100_diff - 0.0113202
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.414351
  26. 15m: kc_percentage - 0.174199
  27. 15m: kc_width_percentage - 0.0541554
    28. ¸
  28. 5m: ema9 - 0.0732606
  29. 5m: ema21 - 0.0738542
  30. 5m: ema50 - 0.0742076
  31. 5m: ema100 - 0.0738624
  32. 5m: price_ema9_diff - -0.00492296
  33. 5m: ema9_ema21_diff - -0.00803708
  34. 5m: ema21_ema50_diff - -0.00476266
  35. 5m: price_ema100_diff - -0.0130302
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.316499
  39. 5m: kc_percentage - -0.0636122
  40. 5m: kc_width_percentage - 0.0223607
    41. ¸

Long Trade on CHILLGUY

The 02 Jun 2025 at 23:31:09

With 870.7 CHILLGUY at 0.0729$ per unit.

Take profit at 0.0739 (1.4 %) and Stop Loss at 0.07223 (0.92 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -14.29 %

Symbol Start at Seach Score Trade Score Trades Count
EOS 2025-04-01 14:40:01 0.9301 -50 4
VIRTUAL 2025-05-27 18:22:49 0.9264 30 3
CHILLGUY 2025-04-28 14:12:25 0.9167 -100 1
GAS 2025-04-09 12:27:29 0.9127 40 1
SOL 2025-04-19 12:40:23 0.9125 40 1
KAVA 2025-05-31 13:47:38 0.907 30 1
ACH 2025-04-15 08:40:44 0.903 -90 1

📌 Time Data

Start at Closed at Duration
02 Jun 2025
23:31:09		 02 Jun 2025
23:50:00		 18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.0729 0.07223 0.0739 1.5 0.06162
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 0.0729
  • Stop Loss: 0.07223
  • Take Profit: 0.0739

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.07223 - 0.0729 = -0.00067

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.0729 - 0.0739 = -0.00099999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00099999999999999 / -0.00067 = 1.4925

📌 Position Size

Amount Margin Quantity Leverage
870.7 100 11940 8.71
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 -0.00067

Taille de position = 8 / -0.00067 = -11940.3

Taille de position USD = -11940.3 x 0.0729 = -870.45

Donc, tu peux acheter -11940.3 avec un stoploss a 0.07223

Avec un position size USD de -870.45$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -11940.3 x -0.00067 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -11940.3 x -0.00099999999999999 = 11.94

Si Take Profit atteint, tu gagneras 11.94$

Résumé

  • Taille de position -11940.3
  • Taille de position USD -870.45
  • Perte potentielle 8
  • Gain potentiel 11.94
  • Risk-Reward Ratio 1.4925

📌 Peformances

TP % Target TP $ Target
1.4 % 12 $
SL % Target SL $ Target
0.92 % 8 $
RR PNL PNL % Max Drawdown
1.5 12 $ 1.37 -0.54869684499316

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.07424
            [stop_loss] => 0.07223
            [rr_ratio] => 2
            [closed_at] => 2025-06-02 23:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.074575
            [stop_loss] => 0.07223
            [rr_ratio] => 2.5
            [closed_at] => 2025-06-03 00:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.07491
            [stop_loss] => 0.07223
            [rr_ratio] => 3
            [closed_at] => 2025-06-03 00:00:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.075245
            [stop_loss] => 0.07223
            [rr_ratio] => 3.5
            [closed_at] => 2025-06-03 00:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.07558
            [stop_loss] => 0.07223
            [rr_ratio] => 4
            [closed_at] => 2025-06-03 00:45:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.075915
            [stop_loss] => 0.07223
            [rr_ratio] => 4.5
            [closed_at] => 2025-06-03 00:45:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.07625
            [stop_loss] => 0.07223
            [rr_ratio] => 5
            [closed_at] => 2025-06-03 00:45:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)