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Trade

buy - DOGE

Status
win
2025-05-12 07:59:56
40 minutes
PNL
1.57
Entry: 0.2424
Last: 0.24620000

Results

Status:
win
Trade Type:
buy
Prediction Score: 1.5415
Prediction 1 Probability
Strong Trade
n/a
Prediction 2 Probability
1 n/a
Prediction 3 Probability
n/a
ML Trade Score: 30
ML Pullback Score: 0.62

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.12
  4. atr: 0.001672742076
Details
  1. score: 2.12
  2. 1H
  3. ema9 - 0.243255
  4. ema21 - 0.239337
  5. ema50 - 0.232559
  6. price_ema9_diff - -0.00345102
  7. ema9_ema21_diff - 0.0163733
  8. ema21_ema50_diff - 0.0291458
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.561713
  12. kc_percentage - 0.61179
  13. kc_width_percentage - 0.105075
    14. ¸
  14. 15m
  15. ema9 - 0.246325
  16. ema21 - 0.245779
  17. ema50 - 0.242194
  18. price_ema9_diff - -0.015851
  19. ema9_ema21_diff - 0.0022236
  20. ema21_ema50_diff - 0.0147999
  21. all_emas_in_trend - True
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.438058
  24. kc_percentage - 0.212264
  25. kc_width_percentage - 0.0496686
    26. ¸
  26. 5m
  27. ema9 - 0.245122
  28. ema21 - 0.246573
  29. ema50 - 0.246473
  30. price_ema9_diff - -0.010921
  31. ema9_ema21_diff - -0.00588152
  32. ema21_ema50_diff - 0.0004037
  33. all_emas_in_trend - False
  34. all_emas_and_price_in_trend - False
  35. rsi - 0.299601
  36. kc_percentage - -0.121679
  37. kc_width_percentage - 0.0270966
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 104268
  41. 5m_price_ema100_diff: -0.00536811
  42. 5m_price: 103708
  43. 5m_correlation_with_coin: 0.719869
  44. btc_indicators
  45. 15m_ema100: 104253
  46. 15m_price_ema100_diff: -0.00522549
  47. 15m_price: 103708
  48. btc_indicators
  49. 1H_ema100: 103104
  50. 1H_price_ema100_diff: 0.00586171
  51. 1H_price: 103708
    52. ¸

Long Trade on DOGE

The 12 May 2025 at 07:59:56

With 3188.3776 DOGE at 0.2424$ per unit.

Position size of 772.9584 $

Take profit at 0.2462 (1.57 %) and Stop Loss at 0.2399 (1.03 %)

That's a 1.52 RR Trade

📌 Similar Trades

Similar Trade Score: -40.63 %

Symbol Start at Seach Score Trade Score Trades Count
SHIB 2025-05-12 07:58:53 0.963 -100 3
SHIB 2025-03-26 08:34:31 0.9578 -100 1
1000BONK 2025-05-12 07:46:44 0.9595 -100 3
POPCAT 2025-05-12 07:54:14 0.9599 30 1
CRV 2025-04-22 15:42:11 0.9587 -100 1
LPT 2025-05-30 12:05:18 0.9572 -35 2
WIF 2025-05-12 07:53:09 0.9539 30 1
DUCK 2025-05-07 23:50:00 0.9527 50 1

📌 Time Data

Start at Closed at Duration
12 May 2025
07:59:56		 12 May 2025
08:40:00		 40 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2424 0.2399 0.2462 1.52 0.2364
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 0.2424
  • Stop Loss: 0.2399
  • Take Profit: 0.2462

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2399 - 0.2424 = -0.0025

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2424 - 0.2462 = -0.0038

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0038 / -0.0025 = 1.52

📌 Position Size

Amount Margin Quantity Leverage
772.9584 100 3188.3776 7.73
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 -0.0025

Taille de position = 8 / -0.0025 = -3200

Taille de position USD = -3200 x 0.2424 = -775.68

Donc, tu peux acheter -3200 avec un stoploss a 0.2399

Avec un position size USD de -775.68$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -3200 x -0.0025 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -3200 x -0.0038 = 12.16

Si Take Profit atteint, tu gagneras 12.16$

Résumé

  • Taille de position -3200
  • Taille de position USD -775.68
  • Perte potentielle 8
  • Gain potentiel 12.16
  • Risk-Reward Ratio 1.52

📌 Peformances

TP % Target TP $ Target
1.57 % 12.12 $
SL % Target SL $ Target
1.03 % 7.97 $
PNL PNL %
12.12 $ 1.57
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.83333333333333 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2474
            [stop_loss] => 0.2399
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [2.5] => Array
        (
            [take_profit] => 0.24865
            [stop_loss] => 0.2399
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.2499
            [stop_loss] => 0.2399
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.25115
            [stop_loss] => 0.2399
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.2524
            [stop_loss] => 0.2399
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.25365
            [stop_loss] => 0.2399
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.2549
            [stop_loss] => 0.2399
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.25615
            [stop_loss] => 0.2399
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.2574
            [stop_loss] => 0.2399
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.25865
            [stop_loss] => 0.2399
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.2599
            [stop_loss] => 0.2399
            [rr_ratio] => 7
            [closed_at] => 2025-05-12 09:35:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0043
            [max_drawdown] => 0.00791
            [rr_ratio] => 0.54
            [high] => 0.24670000
            [low] => 0.23449000
            [mfe_pct] => 1.77
            [mae_pct] => 3.26
            [mfe_mae_ratio] => 0.54
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T07:59:56-04:00
            [end_at] => 2025-05-12T09:59:56-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0043
            [max_drawdown] => 0.01377
            [rr_ratio] => 0.31
            [high] => 0.24670000
            [low] => 0.22863000
            [mfe_pct] => 1.77
            [mae_pct] => 5.68
            [mfe_mae_ratio] => 0.31
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T07:59:56-04:00
            [end_at] => 2025-05-12T13:59:56-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25239000
            [high_after] => 0.24670000
            [low_before] => 0.24057000
            [low_after] => 0.22863000
            [is_new_high] => 
            [is_new_low] => 
        )

)