Trade

buy - ALGO

Status
win
2025-05-09 18:58:40
26 minutes
PNL
0.60
Entry: 0.2318
Last: 0.23320000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1
Prediction 1 Accuracy
Strong Trade
n/a
Prediction 2 Accuracy
0 n/a
ML Trade Score: 100

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.1
  4. atr: 0.0006087753876
Details
  1. score: 2.1
  2. 1H: ema9 - 0.233118
  3. 1H: ema21 - 0.230792
  4. 1H: ema50 - 0.222779
  5. 1H: price_ema9_diff - -0.00571458
  6. 1H: ema9_ema21_diff - 0.0100783
  7. 1H: ema21_ema50_diff - 0.0359704
  8. 1H: all_emas_in_trend - True
  9. 1H: all_emas_and_price_in_trend - False
  10. 1H: rsi - 0.551684
  11. 1H: kc_percentage - 0.547816
  12. 1H: kc_width_percentage - 0.0661871
  13. ¸
  14. 15m: ema9 - 0.233112
  15. 15m: ema21 - 0.233248
  16. 15m: ema50 - 0.232845
  17. 15m: price_ema9_diff - -0.00562689
  18. 15m: ema9_ema21_diff - -0.000582263
  19. 15m: ema21_ema50_diff - 0.00172784
  20. 15m: all_emas_in_trend - False
  21. 15m: all_emas_and_price_in_trend - False
  22. 15m: rsi - 0.432992
  23. 15m: kc_percentage - 0.241069
  24. 15m: kc_width_percentage - 0.0240471
  25. ¸
  26. 5m: ema9 - 0.232849
  27. 5m: ema21 - 0.233203
  28. 5m: ema50 - 0.233279
  29. 5m: price_ema9_diff - -0.00449904
  30. 5m: ema9_ema21_diff - -0.00151733
  31. 5m: ema21_ema50_diff - -0.000327839
  32. 5m: all_emas_in_trend - True
  33. 5m: all_emas_and_price_in_trend - True
  34. 5m: rsi - 0.357375
  35. 5m: kc_percentage - -0.10039
  36. 5m: kc_width_percentage - 0.00999198
  37. ¸

Long Trade on ALGO

The 09 May 2025 at 18:58:40

With 2031 ALGO at 0.2318$ per unit.

Take profit at 0.2332 (0.6 %) and Stop Loss at 0.2309 (0.39 %)

That's a 1.6 RR Trade

📌 Similar Trades

Similar Trade Score: 22.31 %

Symbol Start at Seach Score Trade Score Trades Count
BOME 2025-05-14 04:12:37 0.7674 40 1
S 2025-04-10 05:10:12 0.7546 40 1
HYPE 2025-05-09 18:56:35 0.7397 50 1
LISTA 2025-04-12 00:21:12 0.7056 30 1
DOT 2025-06-03 08:36:43 0.7053 60 1
BSV 2025-04-26 04:21:16 0.6952 -100 2
AGLD 2025-05-01 12:55:02 0.7014 40 1
TRX 2025-05-09 18:58:06 0.6976 100 1
ZEREBRO 2025-05-14 03:31:26 0.6932 -100 1
TAI 2025-05-08 23:41:04 0.6923 -100 1
BANANAS31 2025-05-27 17:20:33 0.6896 70 1
NKN 2025-04-25 06:42:32 0.687 100 1
1000BONK 2025-05-09 18:54:39 0.6836 60 1

📌 Time Data

Start at Closed at Duration
09 May 2025
18:58:40
09 May 2025
19:25:00
26 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2318 0.2309 0.2332 1.6 0.1909
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 0.2318
  • Stop Loss: 0.2309
  • Take Profit: 0.2332

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2309 - 0.2318 = -0.00090000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2318 - 0.2332 = -0.0014

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0014 / -0.00090000000000001 = 1.5556

📌 Position Size

Amount Margin Quantity Leverage
2031 100 8761 20.31
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 -0.00090000000000001

Taille de position = 8 / -0.00090000000000001 = -8888.89

Taille de position USD = -8888.89 x 0.2318 = -2060.44

Donc, tu peux acheter -8888.89 avec un stoploss a 0.2309

Avec un position size USD de -2060.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -8888.89 x -0.00090000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -8888.89 x -0.0014 = 12.44

Si Take Profit atteint, tu gagneras 12.44$

Résumé

  • Taille de position -8888.89
  • Taille de position USD -2060.44
  • Perte potentielle 8
  • Gain potentiel 12.44
  • Risk-Reward Ratio 1.5556

📌 Peformances

TP % Target TP $ Target
0.6 % 12 $
SL % Target SL $ Target
0.39 % 7.9 $
RR PNL PNL % Max Drawdown
1.6 12 $ 0.60 -0.043140638481457

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2336
            [stop_loss] => 0.2309
            [rr_ratio] => 2
            [closed_at] => 2025-05-09 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.23405
            [stop_loss] => 0.2309
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-09 20:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2345
            [stop_loss] => 0.2309
            [rr_ratio] => 3
            [closed_at] => 2025-05-09 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.23495
            [stop_loss] => 0.2309
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-09 20:05:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2354
            [stop_loss] => 0.2309
            [rr_ratio] => 4
            [closed_at] => 2025-05-09 20:10:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.23585
            [stop_loss] => 0.2309
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-09 20:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2363
            [stop_loss] => 0.2309
            [rr_ratio] => 5
            [closed_at] => 2025-05-09 20:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)