Long Trade on BCH

The 09 Apr 2025 at 19:42:45

With 6.5398 BCH at 304.05$ per unit.

Position size of 1988.4129 $

Take profit at 305.8849 (0.6 %) and Stop Loss at 302.8267 (0.4 %)

That's a 1.5 RR Trade

Results

Status:
loss
Trade Type:
buy
ML Trade Score: -100
ML Pullback Score: -0.08
Prediction Score:
Prediction 1 Probability
Weak Trade
n/a
Prediction 2 Probability
n/a
Prediction 3 Probability
n/a
BTC Market Regime Coin Market Regime
BTC Correlation Score

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.03
  4. atr: 0.8155247698
Details
  1. score: 2.03
  2. 1H
  3. ema9 - 298.652
  4. ema21 - 288.598
  5. ema50 - 281.863
  6. price_ema9_diff - 0.0187041
  7. ema9_ema21_diff - 0.0348359
  8. ema21_ema50_diff - 0.0238946
  9. all_emas_in_trend - True
  10. all_emas_and_price_in_trend - True
  11. rsi - 0.714134
  12. kc_percentage - 1.16319
  13. kc_width_percentage - 0.0739281
  14. ¸
  15. 15m
  16. ema9 - 305.621
  17. ema21 - 303.144
  18. ema50 - 293.816
  19. price_ema9_diff - -0.00518495
  20. ema9_ema21_diff - 0.00817268
  21. ema21_ema50_diff - 0.031747
  22. all_emas_in_trend - True
  23. all_emas_and_price_in_trend - False
  24. rsi - 0.587357
  25. kc_percentage - 0.569535
  26. kc_width_percentage - 0.0272055
  27. ¸
  28. 5m
  29. ema9 - 304.922
  30. ema21 - 305.624
  31. ema50 - 304.514
  32. price_ema9_diff - -0.00285613
  33. ema9_ema21_diff - -0.00229668
  34. ema21_ema50_diff - 0.00364778
  35. all_emas_in_trend - False
  36. all_emas_and_price_in_trend - False
  37. rsi - 0.355309
  38. kc_percentage - -0.0267219
  39. kc_width_percentage - 0.00965701
  40. ¸

📌 Time Data

Start at Closed at Duration
09 Apr 2025
19:42:45
09 Apr 2025
19:50:00
7 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
304.05 302.8267 305.8849 1.5 567.79
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 304.05
  • Stop Loss: 302.8267
  • Take Profit: 305.8849

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 302.8267 - 304.05 = -1.2233

  • Récompense (distance jusqu'au take profit):

    E - TP = 304.05 - 305.8849 = -1.8349

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -1.8349 / -1.2233 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1988.4129 100 6.5398 19.88
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 -1.2233

Taille de position = 8 / -1.2233 = -6.54

Taille de position USD = -6.54 x 304.05 = -1988.49

Donc, tu peux acheter -6.54 avec un stoploss a 302.8267

Avec un position size USD de -1988.49$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6.54 x -1.2233 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6.54 x -1.8349 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position -6.54
  • Taille de position USD -1988.49
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.6 % 12 $
SL % Target SL $ Target
0.4 % 8 $
PNL PNL %
-7.85 $ -0.39
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.8421052631579 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 305.9
            [entry_price] => 304
            [stop_loss] => 302.68
            [rr_ratio] => 1.44
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 305.9
            [entry_price] => 304
            [stop_loss] => 302.56
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 305.9
            [entry_price] => 304
            [stop_loss] => 302.44
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 305.9
            [entry_price] => 304
            [stop_loss] => 302.2
            [rr_ratio] => 1.06
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-09 19:50:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.29000000000002
            [max_drawdown] => 3.75
            [rr_ratio] => -0.08
            [high] => 303.76000000
            [low] => 300.30000000
            [mfe_pct] => -0.1
            [mae_pct] => 1.23
            [mfe_mae_ratio] => -0.08
            [candles_analyzed] => 24
            [start_at] => 2025-04-09T19:42:45-04:00
            [end_at] => 2025-04-09T21:42:45-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.29000000000002
            [max_drawdown] => 9.82
            [rr_ratio] => -0.03
            [high] => 303.76000000
            [low] => 294.23000000
            [mfe_pct] => -0.1
            [mae_pct] => 3.23
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-09T19:42:45-04:00
            [end_at] => 2025-04-10T01:42:45-04:00
        )

    [breakout] => Array
        (
            [high_before] => 308.80000000
            [high_after] => 303.76000000
            [low_before] => 303.55000000
            [low_after] => 294.23000000
            [is_new_high] => 
            [is_new_low] => 
        )

)