Trade

buy - ARK

Status
win
2025-04-17 05:01:44
18 minutes
PNL
3.54
Entry: 0.4829
Last: 0.50000000

Results

Status:
win
Trade Type:
buy
Prediction Score:
Prediction 1 Accuracy
Strong Trade
n/a
Prediction 2 Accuracy
n/a
ML Trade Score: 60
ML Pullback Score: 5.82

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.23
  4. atr: 0.007602195101
Details
  1. score: 2.23
  2. 1H
  3. ema9 - 0.492903
  4. ema21 - 0.47961
  5. ema50 - 0.466286
  6. price_ema9_diff - -0.0208584
  7. ema9_ema21_diff - 0.0277164
  8. ema21_ema50_diff - 0.0285762
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - False
  11. rsi - 0.518612
  12. kc_percentage - 0.526666
  13. kc_width_percentage - 0.201823
  14. ¸
  15. 15m
  16. ema9 - 0.503803
  17. ema21 - 0.505578
  18. ema50 - 0.488944
  19. price_ema9_diff - -0.0413453
  20. ema9_ema21_diff - -0.00351192
  21. ema21_ema50_diff - 0.0340202
  22. all_emas_in_trend - False
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.40135
  25. kc_percentage - 0.0789356
  26. kc_width_percentage - 0.114002
  27. ¸
  28. 5m
  29. ema9 - 0.493974
  30. ema21 - 0.505919
  31. ema50 - 0.509789
  32. price_ema9_diff - -0.0218906
  33. ema9_ema21_diff - -0.0236088
  34. ema21_ema50_diff - -0.00759166
  35. all_emas_in_trend - True
  36. all_emas_and_price_in_trend - True
  37. rsi - 0.253447
  38. kc_percentage - -0.232956
  39. kc_width_percentage - 0.0633229
  40. ¸

Long Trade on ARK

The 17 Apr 2025 at 05:01:44

With 701.5518 ARK at 0.4829$ per unit.

Position size of 338.7793 $

Take profit at 0.5 (3.54 %) and Stop Loss at 0.4715 (2.36 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -45.71 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-06-30 17:04:39 0.9707 -100 1
BB 2025-06-29 23:03:33 0.9665 50 1
WIF 2025-05-23 02:41:54 0.9634 -65 4
VIRTUAL 2025-05-23 03:53:04 0.9633 30 2
ETHFI 2025-06-29 23:16:26 0.9625 -35 2
DOOD 2025-07-21 07:29:22 0.962 -100 1
TRX 2025-06-10 13:32:16 0.9612 -100 1

📌 Time Data

Start at Closed at Duration
17 Apr 2025
05:01:44
17 Apr 2025
05:20:00
18 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.4829 0.4715 0.5 1.5 0.5343
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 0.4829
  • Stop Loss: 0.4715
  • Take Profit: 0.5

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.4715 - 0.4829 = -0.0114

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.4829 - 0.5 = -0.0171

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.0171 / -0.0114 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
338.7793 100 701.5518 3.39
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 -0.0114

Taille de position = 8 / -0.0114 = -701.75

Taille de position USD = -701.75 x 0.4829 = -338.88

Donc, tu peux acheter -701.75 avec un stoploss a 0.4715

Avec un position size USD de -338.88$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -701.75 x -0.0114 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -701.75 x -0.0171 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -701.75
  • Taille de position USD -338.88
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
3.54 % 12 $
SL % Target SL $ Target
2.36 % 8 $
PNL PNL %
12 $ 3.54
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.4288672603023 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.5057
            [stop_loss] => 0.4715
            [rr_ratio] => 2
            [closed_at] => 2025-04-17 05:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.5114
            [stop_loss] => 0.4715
            [rr_ratio] => 2.5
            [closed_at] => 2025-04-17 07:10:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.5171
            [stop_loss] => 0.4715
            [rr_ratio] => 3
            [closed_at] => 2025-04-17 07:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0234
            [max_drawdown] => 0.0069
            [rr_ratio] => 3.39
            [high] => 0.50630000
            [low] => 0.47600000
            [mfe_pct] => 4.85
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 3.39
            [candles_analyzed] => 24
            [start_at] => 2025-04-17T05:01:44-04:00
            [end_at] => 2025-04-17T07:01:44-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0383
            [max_drawdown] => 0.0069
            [rr_ratio] => 5.55
            [high] => 0.52120000
            [low] => 0.47600000
            [mfe_pct] => 7.93
            [mae_pct] => 1.43
            [mfe_mae_ratio] => 5.55
            [candles_analyzed] => 72
            [start_at] => 2025-04-17T05:01:44-04:00
            [end_at] => 2025-04-17T11:01:44-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.54000000
            [high_after] => 0.52120000
            [low_before] => 0.48000000
            [low_after] => 0.47600000
            [is_new_high] => 
            [is_new_low] => 
        )

)