Trade

buy - LAYER

Status
win
2025-04-23 17:53:58
11 minutes
PNL
1.87
Entry: 2.1383
Last: 2.17800000

Results

Status:
win
Trade Type:
buy
Prediction Score: -9.4798
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 70
ML Pullback Score: 6

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.29
  4. atr: 0.01776220676
Details
  1. score: 2.29
  2. 1H
  3. ema9 - 2.18362
  4. ema21 - 2.13726
  5. ema50 - 2.09512
  6. price_ema9_diff - -0.021208
  7. ema9_ema21_diff - 0.0216936
  8. ema21_ema50_diff - 0.020113
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.52555
  12. kc_percentage - 0.491062
  13. kc_width_percentage - 0.114417
  14. ¸
  15. 15m
  16. ema9 - 2.19641
  17. ema21 - 2.20541
  18. ema50 - 2.17408
  19. price_ema9_diff - -0.0263487
  20. ema9_ema21_diff - -0.00408469
  21. ema21_ema50_diff - 0.0144143
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.347315
  25. kc_percentage - -0.0440135
  26. kc_width_percentage - 0.0580982
  27. ¸
  28. 5m
  29. ema9 - 2.17165
  30. ema21 - 2.19944
  31. ema50 - 2.21264
  32. price_ema9_diff - -0.0151638
  33. ema9_ema21_diff - -0.012635
  34. ema21_ema50_diff - -0.0059683
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.250929
  38. kc_percentage - -0.291979
  39. kc_width_percentage - 0.0352791
  40. ¸

Long Trade on LAYER

The 23 Apr 2025 at 17:53:58

With 300.263 LAYER at 2.1383$ per unit.

Position size of 642.0524 $

Take profit at 2.1783 (1.87 %) and Stop Loss at 2.1117 (1.24 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -42.62 %

Symbol Start at Seach Score Trade Score Trades Count
WIF 2025-05-23 02:45:01 0.9521 -53.33 3
SWEAT 2025-06-15 15:50:08 0.9523 -35 2
KAS 2025-04-09 19:34:56 0.951 -100 4
AERO 2025-07-13 13:19:26 0.9522 30 1
NEIROCTO 2025-05-23 00:35:20 0.9514 -100 2
SOL 2025-07-06 15:46:44 0.9517 60 1
COW 2025-05-29 03:08:52 0.9517 -100 1

📌 Time Data

Start at Closed at Duration
23 Apr 2025
17:53:58
23 Apr 2025
18:05:00
11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
2.1383 2.1117 2.1783 1.5 0.727
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 2.1383
  • Stop Loss: 2.1117
  • Take Profit: 2.1783

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 2.1117 - 2.1383 = -0.0266

  • Récompense (distance jusqu'au take profit):

    E - TP = 2.1383 - 2.1783 = -0.04

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.04 / -0.0266 = 1.5038

📌 Position Size

Amount Margin Quantity Leverage
642.0524 100 300.263 6.42
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 -0.0266

Taille de position = 8 / -0.0266 = -300.75

Taille de position USD = -300.75 x 2.1383 = -643.09

Donc, tu peux acheter -300.75 avec un stoploss a 2.1117

Avec un position size USD de -643.09$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -300.75 x -0.0266 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -300.75 x -0.04 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position -300.75
  • Taille de position USD -643.09
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.5038

📌 Peformances

TP % Target TP $ Target
1.87 % 12.01 $
SL % Target SL $ Target
1.24 % 7.99 $
PNL PNL %
12.01 $ 1.87
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 2.19
            [stop_loss] => 2.112
            [rr_ratio] => 2
            [closed_at] => 2025-04-23 19:05:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 2.203
            [stop_loss] => 2.112
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-23 20:00:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 2.216
            [stop_loss] => 2.112
            [rr_ratio] => 3
            [closed_at] => 2025-04-23 20:05:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 2.229
            [stop_loss] => 2.112
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-23 20:35:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0543
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.19260000
            [low] => 2.14230000
            [mfe_pct] => 2.54
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-04-23T17:53:58-04:00
            [end_at] => 2025-04-23T19:53:58-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.1009
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 2.23920000
            [low] => 2.14230000
            [mfe_pct] => 4.72
            [mae_pct] => -0.19
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-04-23T17:53:58-04:00
            [end_at] => 2025-04-23T23:53:58-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.29260000
            [high_after] => 2.23920000
            [low_before] => 2.12660000
            [low_after] => 2.14230000
            [is_new_high] => 
            [is_new_low] => 
        )

)