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Trade

buy - SAGA

Status
win
2025-05-23 18:39:21
1 hour
PNL
2.16
Entry: 0.4069
Last: 0.41570000

Results

Status:
win
Trade Type:
buy
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.44
ML Trade Score: 60

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.003906653278
Details
  1. score: 2.02
  2. 1H: ema9 - 0.414696
  3. 1H: ema21 - 0.405522
  4. 1H: ema50 - 0.383922
  5. 1H: ema100 - 0.364027
  6. 1H: price_ema9_diff - -0.0188001
  7. 1H: ema9_ema21_diff - 0.0226211
  8. 1H: ema21_ema50_diff - 0.056263
  9. 1H: price_ema100_diff - 0.117772
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.530848
  13. 1H: kc_percentage - 0.507435
  14. 1H: kc_width_percentage - 0.163323
    15. ¸
  15. 15m: ema9 - 0.414566
  16. 15m: ema21 - 0.417028
  17. 15m: ema50 - 0.413082
  18. 15m: ema100 - 0.402348
  19. 15m: price_ema9_diff - -0.0184918
  20. 15m: ema9_ema21_diff - -0.00590477
  21. 15m: ema21_ema50_diff - 0.009553
  22. 15m: price_ema100_diff - 0.0113126
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.411662
  26. 15m: kc_percentage - 0.19405
  27. 15m: kc_width_percentage - 0.0809682
    28. ¸
  28. 5m: ema9 - 0.413546
  29. 5m: ema21 - 0.415085
  30. 5m: ema50 - 0.417467
  31. 5m: ema100 - 0.418098
  32. 5m: price_ema9_diff - -0.0160718
  33. 5m: ema9_ema21_diff - -0.00370708
  34. 5m: ema21_ema50_diff - -0.0057072
  35. 5m: price_ema100_diff - -0.026785
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.334552
  39. 5m: kc_percentage - -0.0224873
  40. 5m: kc_width_percentage - 0.0379961
    41. ¸

Long Trade on SAGA

The 23 May 2025 at 18:39:21

With 555.5 SAGA at 0.4069$ per unit.

Take profit at 0.4157 (2.2 %) and Stop Loss at 0.401 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -58 %

Symbol Start at Seach Score Trade Score Trades Count
AI16Z 2025-05-13 20:45:53 0.8858 -100 2
POL 2025-03-26 09:59:54 0.8767 -100 2
XRP 2025-06-03 20:14:07 0.8744 -100 1
FUEL 2025-04-16 01:31:52 0.874 -80 1
FLOKI 2025-04-29 02:00:46 0.8733 40 1
SHIB 2025-03-26 10:45:02 0.8729 -100 1
BSW 2025-05-07 16:44:57 0.8718 30 1
MEW 2025-05-12 08:19:07 0.8714 -100 2
TAO 2025-05-02 17:55:01 0.871 30 1
ENA 2025-05-11 02:45:22 0.8707 -100 1

📌 Time Data

Start at Closed at Duration
23 May 2025
18:39:21		 23 May 2025
20:00:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4069 0.401 0.4157 1.5 0.2878
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 0.4069
  • Stop Loss: 0.401
  • Take Profit: 0.4157

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.401 - 0.4069 = -0.0059

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4069 - 0.4157 = -0.0088

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0088 / -0.0059 = 1.4915

📌 Position Size

Amount Margin Quantity Leverage
555.5 100 1365 5.55
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 -0.0059

Taille de position = 8 / -0.0059 = -1355.93

Taille de position USD = -1355.93 x 0.4069 = -551.73

Donc, tu peux acheter -1355.93 avec un stoploss a 0.401

Avec un position size USD de -551.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -1355.93 x -0.0059 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -1355.93 x -0.0088 = 11.93

Si Take Profit atteint, tu gagneras 11.93$

Résumé

  • Taille de position -1355.93
  • Taille de position USD -551.73
  • Perte potentielle 8
  • Gain potentiel 11.93
  • Risk-Reward Ratio 1.4915

📌 Peformances

TP % Target TP $ Target
2.2 % 12 $
SL % Target SL $ Target
1.4 % 8.1 $
RR PNL PNL % Max Drawdown
1.5 12 $ 2.16 -1.3762595232244

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.4187
            [stop_loss] => 0.401
            [rr_ratio] => 2
            [closed_at] => 2025-05-23 20:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.42165
            [stop_loss] => 0.401
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-23 20:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.4246
            [stop_loss] => 0.401
            [rr_ratio] => 3
            [closed_at] => 2025-05-23 20:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.42755
            [stop_loss] => 0.401
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.4305
            [stop_loss] => 0.401
            [rr_ratio] => 4
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.43345
            [stop_loss] => 0.401
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.4364
            [stop_loss] => 0.401
            [rr_ratio] => 5
            [closed_at] => 2025-05-23 21:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)