Trade

buy - RSR

Status
win
2025-04-22 02:30:59
59 minutes
PNL
1.34
Entry: 0.008116
Last: 0.00822500

Results

Status:
win
Trade Type:
buy
Prediction Score: -1.0007
Prediction 1 Accuracy
Strong Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 110

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 4.838943781E-5
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 0.00822076
  4. ema21 - 0.00803361
  5. ema50 - 0.00775951
  6. price_ema9_diff - -0.0130403
  7. ema9_ema21_diff - 0.0232954
  8. ema21_ema50_diff - 0.0353243
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.557736
  12. kc_percentage - 0.578256
  13. kc_width_percentage - 0.106866
  14. ¸
  15. 15m
  16. ema9 - 0.0082111
  17. ema21 - 0.00825951
  18. ema50 - 0.00816626
  19. price_ema9_diff - -0.0115148
  20. ema9_ema21_diff - -0.00586135
  21. ema21_ema50_diff - 0.0114193
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.398554
  25. kc_percentage - 0.119183
  26. kc_width_percentage - 0.0463623
  27. ¸
  28. 5m
  29. ema9 - 0.00816361
  30. ema21 - 0.00821854
  31. ema50 - 0.00827828
  32. price_ema9_diff - -0.00579377
  33. ema9_ema21_diff - -0.00668398
  34. ema21_ema50_diff - -0.00721558
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.348749
  38. kc_percentage - -0.0336917
  39. kc_width_percentage - 0.0227895
  40. ¸

Long Trade on RSR

The 22 Apr 2025 at 02:30:59

With 110200 RSR at 0.008116$ per unit.

Position size of 894.5 $

Take profit at 0.008225 (1.3 %) and Stop Loss at 0.008043 (0.9 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 1.25 %

Symbol Start at Seach Score Trade Score Trades Count
SUI 2025-04-21 09:11:36 0.967 30 1
PEPE 2025-05-26 06:55:11 0.964 40 1
INJ 2025-05-26 06:57:47 0.9596 20 4
RENDER 2025-05-26 07:01:38 0.9611 60 1
IO 2025-05-26 06:55:47 0.9589 30 1
PAXG 2025-06-12 03:34:00 0.9588 -100 1
TUT 2025-06-01 04:32:05 0.957 30 1
SHIB 2025-03-26 10:29:59 0.9557 -100 2

📌 Time Data

Start at Closed at Duration
22 Apr 2025
02:30:59
22 Apr 2025
03:30:00
59 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.008116 0.008043 0.008225 1.5 0.007272
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 0.008116
  • Stop Loss: 0.008043
  • Take Profit: 0.008225

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.008043 - 0.008116 = -7.3E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.008116 - 0.008225 = -0.000109

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.000109 / -7.3E-5 = 1.4932

📌 Position Size

Amount Margin Quantity Leverage
894.5 100 110200 8.95
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 -7.3E-5

Taille de position = 8 / -7.3E-5 = -109589.04

Taille de position USD = -109589.04 x 0.008116 = -889.42

Donc, tu peux acheter -109589.04 avec un stoploss a 0.008043

Avec un position size USD de -889.42$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -109589.04 x -7.3E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -109589.04 x -0.000109 = 11.95

Si Take Profit atteint, tu gagneras 11.95$

Résumé

  • Taille de position -109589.04
  • Taille de position USD -889.42
  • Perte potentielle 8
  • Gain potentiel 11.95
  • Risk-Reward Ratio 1.4932

📌 Peformances

TP % Target TP $ Target
1.3 % 12 $
SL % Target SL $ Target
0.9 % 8 $
PNL PNL %
12 $ 1.34
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5791030064071 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.008262
            [stop_loss] => 0.008043
            [rr_ratio] => 2
            [closed_at] => 2025-04-22 03:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0082985
            [stop_loss] => 0.008043
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-22 03:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.008335
            [stop_loss] => 0.008043
            [rr_ratio] => 3
            [closed_at] => 2025-04-22 03:55:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0083715
            [stop_loss] => 0.008043
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-22 04:00:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.008408
            [stop_loss] => 0.008043
            [rr_ratio] => 4
            [closed_at] => 2025-04-22 06:05:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.0084445
            [stop_loss] => 0.008043
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-22 06:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.008481
            [stop_loss] => 0.008043
            [rr_ratio] => 5
            [closed_at] => 2025-04-22 06:10:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.0085175
            [stop_loss] => 0.008043
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-22 06:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)