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Trade

buy - DEXE

Status
win
2025-04-30 01:39:05
50 minutes
PNL
0.53
Entry: 13.143
Last: 13.21000000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
1 n/a
Prediction 3 Probability
n/a
ML Trade Score: 40
ML Pullback Score: 3.14

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.03082274469
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 13.1588
  4. ema21 - 13.1307
  5. ema50 - 13.1194
  6. price_ema9_diff - -0.001208
  7. ema9_ema21_diff - 0.00214438
  8. ema21_ema50_diff - 0.000854803
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.507611
  12. kc_percentage - 0.517915
  13. kc_width_percentage - 0.047161
    14. ¸
  14. 15m
  15. ema9 - 13.2039
  16. ema21 - 13.1812
  17. ema50 - 13.1381
  18. price_ema9_diff - -0.00462371
  19. ema9_ema21_diff - 0.00172084
  20. ema21_ema50_diff - 0.00328009
  21. all_emas_in_trend - True
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.47145
  24. kc_percentage - 0.328516
  25. kc_width_percentage - 0.0180017
    26. ¸
  26. 5m
  27. ema9 - 13.1966
  28. ema21 - 13.2187
  29. ema50 - 13.1983
  30. price_ema9_diff - -0.00405778
  31. ema9_ema21_diff - -0.00167324
  32. ema21_ema50_diff - 0.00154976
  33. all_emas_in_trend - False
  34. all_emas_and_price_in_trend - False
  35. rsi - 0.340161
  36. kc_percentage - -0.123177
  37. kc_width_percentage - 0.00921032
    38. ¸

Long Trade on DEXE

The 30 Apr 2025 at 01:39:05

With 173.0324 DEXE at 13.143$ per unit.

Position size of 2274.1648 $

Take profit at 13.2124 (0.53 %) and Stop Loss at 13.0968 (0.35 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -56.67 %

Symbol Start at Seach Score Trade Score Trades Count
SUI 2025-06-10 20:42:46 0.8488 -100 1
RENDER 2025-06-28 00:53:38 0.7804 40 1
RENDER 2025-06-10 21:08:48 0.7631 -100 1
DOT 2025-06-24 14:22:53 0.78 -100 1
ETH 2025-04-14 01:57:29 0.7661 5 2
BGB 2025-05-10 22:02:52 0.7676 45 2
HOUSE 2025-07-16 09:05:49 0.7647 30 1
TRUMP 2025-06-10 20:58:24 0.7615 -100 1
DOGE 2025-04-14 02:10:24 0.7614 -100 1
LAYER 2025-05-23 16:32:33 0.7541 -100 1
CRV 2025-06-10 21:04:21 0.7537 -100 1
UNI 2025-04-14 01:50:29 0.7521 -100 1

📌 Time Data

Start at Closed at Duration
30 Apr 2025
01:39:05		 30 Apr 2025
02:30:00		 50 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
13.143 13.0968 13.2124 1.5 6.996
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 13.143
  • Stop Loss: 13.0968
  • Take Profit: 13.2124

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 13.0968 - 13.143 = -0.046200000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 13.143 - 13.2124 = -0.0694

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0694 / -0.046200000000001 = 1.5022

📌 Position Size

Amount Margin Quantity Leverage
2274.1648 100 173.0324 22.74
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 -0.046200000000001

Taille de position = 8 / -0.046200000000001 = -173.16

Taille de position USD = -173.16 x 13.143 = -2275.84

Donc, tu peux acheter -173.16 avec un stoploss a 13.0968

Avec un position size USD de -2275.84$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -173.16 x -0.046200000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -173.16 x -0.0694 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

  • Taille de position -173.16
  • Taille de position USD -2275.84
  • Perte potentielle 8
  • Gain potentiel 12.02
  • Risk-Reward Ratio 1.5022

📌 Peformances

TP % Target TP $ Target
0.53 % 12.01 $
SL % Target SL $ Target
0.35 % 7.99 $
PNL PNL %
12.12 $ 0.53
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.022831050228311 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 13.22
            [stop_loss] => 13.1
            [rr_ratio] => 2
            [closed_at] => 2025-04-30 02:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 13.24
            [stop_loss] => 13.1
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 13.26
            [stop_loss] => 13.1
            [rr_ratio] => 3
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 13.28
            [stop_loss] => 13.1
            [rr_ratio] => 3.5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 13.3
            [stop_loss] => 13.1
            [rr_ratio] => 4
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 13.32
            [stop_loss] => 13.1
            [rr_ratio] => 4.5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 13.34
            [stop_loss] => 13.1
            [rr_ratio] => 5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 13.36
            [stop_loss] => 13.1
            [rr_ratio] => 5.5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 13.38
            [stop_loss] => 13.1
            [rr_ratio] => 6
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 13.4
            [stop_loss] => 13.1
            [rr_ratio] => 6.5
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 13.42
            [stop_loss] => 13.1
            [rr_ratio] => 7
            [closed_at] => 2025-04-30 03:40:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.081999999999999
            [max_drawdown] => 0.023000000000001
            [rr_ratio] => 3.57
            [high] => 13.22500000
            [low] => 13.12000000
            [mfe_pct] => 0.62
            [mae_pct] => 0.17
            [mfe_mae_ratio] => 3.57
            [candles_analyzed] => 24
            [start_at] => 2025-04-30T01:39:05-04:00
            [end_at] => 2025-04-30T03:39:05-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.081999999999999
            [max_drawdown] => 0.171
            [rr_ratio] => 0.48
            [high] => 13.22500000
            [low] => 12.97200000
            [mfe_pct] => 0.62
            [mae_pct] => 1.3
            [mfe_mae_ratio] => 0.48
            [candles_analyzed] => 72
            [start_at] => 2025-04-30T01:39:05-04:00
            [end_at] => 2025-04-30T07:39:05-04:00
        )

    [breakout] => Array
        (
            [high_before] => 13.31600000
            [high_after] => 13.22500000
            [low_before] => 13.09400000
            [low_after] => 12.97200000
            [is_new_high] => 
            [is_new_low] => 
        )

)