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Trade

buy - BANANAS31

Status
win
2025-05-27 17:20:33
14 minutes
PNL
0.57
Entry: 0.006667
Last: 0.00670500

Results

Status:
win
Trade Type:
buy
Prediction Score: 0
Prediction 1 Accuracy
Weak Trade
0.55
Prediction 2 Accuracy
0 0.46
ML Trade Score: 70

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 1.697445651E-5
Details
  1. score: 2.04
  2. 1H: ema9 - 0.00669584
  3. 1H: ema21 - 0.00659127
  4. 1H: ema50 - 0.00631394
  5. 1H: ema100 - 0.00609735
  6. 1H: price_ema9_diff - -0.00430828
  7. 1H: ema9_ema21_diff - 0.0158657
  8. 1H: ema21_ema50_diff - 0.0439227
  9. 1H: price_ema100_diff - 0.093424
  10. 1H: all_emas_in_trend - True
  11. 1H: all_emas_and_price_in_trend - False
  12. 1H: rsi - 0.583077
  13. 1H: kc_percentage - 0.605033
  14. 1H: kc_width_percentage - 0.0927215
    15. ¸
  15. 15m: ema9 - 0.00670505
  16. 15m: ema21 - 0.00670918
  17. 15m: ema50 - 0.00667601
  18. 15m: ema100 - 0.0066052
  19. 15m: price_ema9_diff - -0.00567514
  20. 15m: ema9_ema21_diff - -0.000616507
  21. 15m: ema21_ema50_diff - 0.00496979
  22. 15m: price_ema100_diff - 0.00935521
  23. 15m: all_emas_in_trend - False
  24. 15m: all_emas_and_price_in_trend - False
  25. 15m: rsi - 0.44898
  26. 15m: kc_percentage - 0.266793
  27. 15m: kc_width_percentage - 0.0274167
    28. ¸
  28. 5m: ema9 - 0.0066811
  29. 5m: ema21 - 0.00670135
  30. 5m: ema50 - 0.00670875
  31. 5m: ema100 - 0.00669425
  32. 5m: price_ema9_diff - -0.00211113
  33. 5m: ema9_ema21_diff - -0.0030216
  34. 5m: ema21_ema50_diff - -0.00110278
  35. 5m: price_ema100_diff - -0.00407197
  36. 5m: all_emas_in_trend - True
  37. 5m: all_emas_and_price_in_trend - True
  38. 5m: rsi - 0.369377
  39. 5m: kc_percentage - -0.0440981
  40. 5m: kc_width_percentage - 0.00918498
    41. ¸

Long Trade on BANANAS31

The 27 May 2025 at 17:20:33

With 2095 BANANAS31 at 0.006667$ per unit.

Take profit at 0.006705 (0.57 %) and Stop Loss at 0.006642 (0.37 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: 12.14 %

Symbol Start at Seach Score Trade Score Trades Count
SOL 2025-05-07 09:16:22 0.8215 -35 2
DOT 2025-06-03 08:21:56 0.808 50 2
VIDT 2025-03-28 14:59:55 0.7919 100 2
BTC 2025-05-07 09:30:05 0.79 100 1
BSV 2025-04-26 04:01:28 0.7859 -100 1
ALGO 2025-04-12 22:20:39 0.785 -100 1
AI16Z 2025-04-10 03:37:36 0.7838 70 1

📌 Time Data

Start at Closed at Duration
27 May 2025
17:20:33		 27 May 2025
17:35:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.006667 0.006642 0.006705 1.5 0.005802
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 0.006667
  • Stop Loss: 0.006642
  • Take Profit: 0.006705

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.006642 - 0.006667 = -2.5E-5

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.006667 - 0.006705 = -3.8E-5

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -3.8E-5 / -2.5E-5 = 1.52

📌 Position Size

Amount Margin Quantity Leverage
2095 100 314200 20.95
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 -2.5E-5

Taille de position = 8 / -2.5E-5 = -320000

Taille de position USD = -320000 x 0.006667 = -2133.44

Donc, tu peux acheter -320000 avec un stoploss a 0.006642

Avec un position size USD de -2133.44$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -320000 x -2.5E-5 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -320000 x -3.8E-5 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

  • Taille de position -320000
  • Taille de position USD -2133.44
  • Perte potentielle 8
  • Gain potentiel 12.16
  • Risk-Reward Ratio 1.52

📌 Peformances

TP % Target TP $ Target
0.57 % 12 $
SL % Target SL $ Target
0.37 % 7.9 $
RR PNL PNL % Max Drawdown
1.5 12 $ 0.57 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.006717
            [stop_loss] => 0.006642
            [rr_ratio] => 2
            [closed_at] => 2025-05-27 17:40:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.0067295
            [stop_loss] => 0.006642
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-27 17:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.006742
            [stop_loss] => 0.006642
            [rr_ratio] => 3
            [closed_at] => 2025-05-27 17:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.0067545
            [stop_loss] => 0.006642
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-27 17:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.006767
            [stop_loss] => 0.006642
            [rr_ratio] => 4
            [closed_at] => 2025-05-27 18:10:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.0067795
            [stop_loss] => 0.006642
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-27 18:10:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.006792
            [stop_loss] => 0.006642
            [rr_ratio] => 5
            [closed_at] => 2025-05-27 18:10:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)