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Trade

buy - WIF

Status
win
2025-05-10 22:53:23
51 minutes
PNL
2.11
Entry: 0.8916
Last: 0.91040000

Results

Status:
win
Trade Type:
buy
Prediction Score: -1.1159
Prediction 1 Accuracy
Weak Trade
n/a
Prediction 2 Accuracy
0 n/a
ML Trade Score: 40
ML Pullback Score: 4.62

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.21
  4. atr: 0.008343697147
Details
  1. score: 2.21
  2. 1H
  3. ema9 - 0.91519
  4. ema21 - 0.88869
  5. ema50 - 0.819392
  6. price_ema9_diff - -0.0265453
  7. ema9_ema21_diff - 0.0298188
  8. ema21_ema50_diff - 0.0845724
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.547634
  12. kc_percentage - 0.502363
  13. kc_width_percentage - 0.153978
    14. ¸
  14. 15m
  15. ema9 - 0.913257
  16. ema21 - 0.921136
  17. ema50 - 0.911757
  18. price_ema9_diff - -0.023512
  19. ema9_ema21_diff - -0.00855306
  20. ema21_ema50_diff - 0.0102863
  21. all_emas_in_trend - False
  22. all_emas_and_price_in_trend - False
  23. rsi - 0.361696
  24. kc_percentage - 0.0391378
  25. kc_width_percentage - 0.0715373
    26. ¸
  26. 5m
  27. ema9 - 0.907682
  28. ema21 - 0.914677
  29. ema50 - 0.923114
  30. price_ema9_diff - -0.0175831
  31. ema9_ema21_diff - -0.00764735
  32. ema21_ema50_diff - -0.00913994
  33. all_emas_in_trend - True
  34. all_emas_and_price_in_trend - True
  35. rsi - 0.303934
  36. kc_percentage - -0.210191
  37. kc_width_percentage - 0.0357305
    38. ¸
  38. btc_indicators
  39. btc_indicators
  40. 5m_ema100: 103861
  41. 5m_price_ema100_diff: -0.00308332
  42. 5m_price: 103540
  43. 5m_correlation_with_coin: 0.461982
  44. btc_indicators
  45. 15m_ema100: 103570
  46. 15m_price_ema100_diff: -0.000285832
  47. 15m_price: 103540
  48. btc_indicators
  49. 1H_ema100: 101460
  50. 1H_price_ema100_diff: 0.0205009
  51. 1H_price: 103540
    52. ¸

Long Trade on WIF

The 10 May 2025 at 22:53:23

With 639.205 WIF at 0.8916$ per unit.

Position size of 569.9152 $

Take profit at 0.9104 (2.11 %) and Stop Loss at 0.8791 (1.4 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -48.75 %

Symbol Start at Seach Score Trade Score Trades Count
MKR 2025-06-29 11:39:26 0.9601 -100 2
TRX 2025-06-10 16:05:46 0.95 -35 2
COOKIE 2025-06-16 08:19:30 0.9506 -35 2
INIT 2025-06-10 13:26:50 0.944 -100 2
RVN 2025-06-10 03:00:21 0.9418 -100 2
LTC 2025-06-10 01:58:54 0.9404 50 1
UMA 2025-07-21 20:20:36 0.9395 -100 2
LISTA 2025-05-26 03:55:26 0.9391 30 1

📌 Time Data

Start at Closed at Duration
10 May 2025
22:53:23		 10 May 2025
23:45:00		 51 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.8916 0.8791 0.9104 1.5 1.063
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 0.8916
  • Stop Loss: 0.8791
  • Take Profit: 0.9104

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.8791 - 0.8916 = -0.0125

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.8916 - 0.9104 = -0.0188

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0188 / -0.0125 = 1.504

📌 Position Size

Amount Margin Quantity Leverage
569.9152 100 639.205 5.70
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 -0.0125

Taille de position = 8 / -0.0125 = -640

Taille de position USD = -640 x 0.8916 = -570.62

Donc, tu peux acheter -640 avec un stoploss a 0.8791

Avec un position size USD de -570.62$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -640 x -0.0125 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -640 x -0.0188 = 12.03

Si Take Profit atteint, tu gagneras 12.03$

Résumé

  • Taille de position -640
  • Taille de position USD -570.62
  • Perte potentielle 8
  • Gain potentiel 12.03
  • Risk-Reward Ratio 1.504

📌 Peformances

TP % Target TP $ Target
2.11 % 12.02 $
SL % Target SL $ Target
1.4 % 7.99 $
PNL PNL %
12.02 $ 2.11
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.067294751009414 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.9166
            [stop_loss] => 0.8791
            [rr_ratio] => 2
            [closed_at] => 2025-05-11 01:00:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.92285
            [stop_loss] => 0.8791
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.9291
            [stop_loss] => 0.8791
            [rr_ratio] => 3
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.93535
            [stop_loss] => 0.8791
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.9416
            [stop_loss] => 0.8791
            [rr_ratio] => 4
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.94785
            [stop_loss] => 0.8791
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.9541
            [stop_loss] => 0.8791
            [rr_ratio] => 5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.96035
            [stop_loss] => 0.8791
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.9666
            [stop_loss] => 0.8791
            [rr_ratio] => 6
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.97285
            [stop_loss] => 0.8791
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.9791
            [stop_loss] => 0.8791
            [rr_ratio] => 7
            [closed_at] => 2025-05-11 03:05:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0216
            [max_drawdown] => 0.00059999999999993
            [rr_ratio] => 36
            [high] => 0.91320000
            [low] => 0.89100000
            [mfe_pct] => 2.42
            [mae_pct] => 0.07
            [mfe_mae_ratio] => 36
            [candles_analyzed] => 24
            [start_at] => 2025-05-10T22:53:23-04:00
            [end_at] => 2025-05-11T00:53:23-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0301
            [max_drawdown] => 0.0293
            [rr_ratio] => 1.03
            [high] => 0.92170000
            [low] => 0.86230000
            [mfe_pct] => 3.38
            [mae_pct] => 3.29
            [mfe_mae_ratio] => 1.03
            [candles_analyzed] => 72
            [start_at] => 2025-05-10T22:53:23-04:00
            [end_at] => 2025-05-11T04:53:23-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.98030000
            [high_after] => 0.92170000
            [low_before] => 0.88900000
            [low_after] => 0.86230000
            [is_new_high] => 
            [is_new_low] => 
        )

)