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Trade

buy - INIT

Status
win
2025-05-12 07:23:21
11 minutes
PNL
3.48
Entry: 1.265
Last: 1.30900000

Results

Status:
win
Trade Type:
buy
Prediction Score: -0.0786
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
0 n/a
Prediction 3 Probability
n/a
ML Trade Score: 60
ML Pullback Score: 4.13

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.01946506508
Details
  1. score: 2.14
  2. 1H
  3. ema9 - 1.26868
  4. ema21 - 1.20343
  5. ema50 - 1.08717
  6. price_ema9_diff - -0.00305878
  7. ema9_ema21_diff - 0.0542166
  8. ema21_ema50_diff - 0.106933
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.609656
  12. kc_percentage - 0.702315
  13. kc_width_percentage - 0.222258
    14. ¸
  14. 15m
  15. ema9 - 1.30641
  16. ema21 - 1.29109
  17. ema50 - 1.23898
  18. price_ema9_diff - -0.0320791
  19. ema9_ema21_diff - 0.011867
  20. ema21_ema50_diff - 0.0420629
  21. all_emas_in_trend - True
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.476329
  24. kc_percentage - 0.320552
  25. kc_width_percentage - 0.123731
    26. ¸
  26. 5m
  27. ema9 - 1.29972
  28. ema21 - 1.31368
  29. ema50 - 1.30359
  30. price_ema9_diff - -0.0264322
  31. ema9_ema21_diff - -0.0106304
  32. ema21_ema50_diff - 0.00774132
  33. all_emas_in_trend - False
  34. all_emas_and_price_in_trend - False
  35. rsi - 0.303363
  36. kc_percentage - -0.13631
  37. kc_width_percentage - 0.0599788
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 104271
  41. 5m_price_ema100_diff: 0.000635336
  42. 5m_price: 104338
  43. 5m_correlation_with_coin: 0.527101
  44. btc_indicators
  45. 15m_ema100: 104267
  46. 15m_price_ema100_diff: 0.000674537
  47. 15m_price: 104338
  48. btc_indicators
  49. 1H_ema100: 103116
  50. 1H_price_ema100_diff: 0.0118448
  51. 1H_price: 104338
    52. ¸

Long Trade on INIT

The 12 May 2025 at 07:23:21

With 273.9951 INIT at 1.265$ per unit.

Position size of 346.6039 $

Take profit at 1.3088 (3.46 %) and Stop Loss at 1.2358 (2.31 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -43.33 %

Symbol Start at Seach Score Trade Score Trades Count
PENGU 2025-07-26 03:35:25 0.9533 -100 1
1000SATS 2025-05-14 03:02:58 0.9516 30 1
LUCE 2025-04-07 01:02:27 0.95 100 1
XAUT 2025-07-21 12:55:40 0.9489 -100 2
PI 2025-05-12 08:03:56 0.9481 -100 1
KAS 2025-06-09 22:05:14 0.9468 -100 1
ARB 2025-06-09 23:04:59 0.9464 -100 1
AVAX 2025-04-22 15:41:51 0.9456 100 1
LISTA 2025-07-02 15:39:51 0.9452 -100 1
INJ 2025-07-16 18:49:46 0.9449 -100 1
HEI 2025-04-11 14:42:33 0.9443 -100 1
MUBARAK 2025-05-13 10:07:49 0.9442 50 1

📌 Time Data

Start at Closed at Duration
12 May 2025
07:23:21		 12 May 2025
07:35:00		 11 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
1.265 1.2358 1.3088 1.5 0.4333
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 1.265
  • Stop Loss: 1.2358
  • Take Profit: 1.3088

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 1.2358 - 1.265 = -0.0292

  • Récompense (distance jusqu'au take profit):

    E - TP = 1.265 - 1.3088 = -0.0438

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0438 / -0.0292 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
346.6039 100 273.9951 3.47
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 -0.0292

Taille de position = 8 / -0.0292 = -273.97

Taille de position USD = -273.97 x 1.265 = -346.57

Donc, tu peux acheter -273.97 avec un stoploss a 1.2358

Avec un position size USD de -346.57$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -273.97 x -0.0292 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -273.97 x -0.0438 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -273.97
  • Taille de position USD -346.57
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.46 % 12 $
SL % Target SL $ Target
2.31 % 8 $
PNL PNL %
12.06 $ 3.48
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 1.323
            [stop_loss] => 1.236
            [rr_ratio] => 2
            [closed_at] => 2025-05-12 07:35:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 1.3375
            [stop_loss] => 1.236
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-12 10:40:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 1.352
            [stop_loss] => 1.236
            [rr_ratio] => 3
            [closed_at] => 2025-05-12 10:40:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 1.3665
            [stop_loss] => 1.236
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 1.381
            [stop_loss] => 1.236
            [rr_ratio] => 4
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 1.3955
            [stop_loss] => 1.236
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 1.41
            [stop_loss] => 1.236
            [rr_ratio] => 5
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 1.4245
            [stop_loss] => 1.236
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 1.439
            [stop_loss] => 1.236
            [rr_ratio] => 6
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 1.4535
            [stop_loss] => 1.236
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 1.468
            [stop_loss] => 1.236
            [rr_ratio] => 7
            [closed_at] => 2025-05-12 11:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0617
            [max_drawdown] => 0.0214
            [rr_ratio] => 2.88
            [high] => 1.32670000
            [low] => 1.24360000
            [mfe_pct] => 4.88
            [mae_pct] => 1.69
            [mfe_mae_ratio] => 2.88
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T07:23:21-04:00
            [end_at] => 2025-05-12T09:23:21-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0934
            [max_drawdown] => 0.0306
            [rr_ratio] => 3.05
            [high] => 1.35840000
            [low] => 1.23440000
            [mfe_pct] => 7.38
            [mae_pct] => 2.42
            [mfe_mae_ratio] => 3.05
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T07:23:21-04:00
            [end_at] => 2025-05-12T13:23:21-04:00
        )

    [breakout] => Array
        (
            [high_before] => 1.37880000
            [high_after] => 1.35840000
            [low_before] => 1.23020000
            [low_after] => 1.23440000
            [is_new_high] => 
            [is_new_low] => 
        )

)