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Trade

sell - BCH

Status
win
2025-05-15 08:35:29
14 minutes
PNL
0.61
Entry: 394.25
Last: 391.80000000

Results

Status:
win
Trade Type:
sell
Prediction Score: 5.7415
Prediction 1 Probability
Weak Trade
0.65
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
ML Trade Score: 130
ML Pullback Score: 7.77

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.06
  4. atr: 1.096436699
Details
  1. score: 1.06
  2. 1H
  3. ema9 - 393.77
  4. ema21 - 397.346
  5. ema50 - 401.62
  6. ema100 - 404.795
  7. price_ema9_diff - 0.00121699
  8. ema9_ema21_diff - -0.00899992
  9. ema21_ema50_diff - -0.0106411
  10. price_ema100_diff - -0.0260508
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.421991
  14. kc_percentage - 0.339487
  15. kc_width_percentage - 0.0450897
    16. ¸
  16. 15m
  17. ema9 - 391.934
  18. ema21 - 392.465
  19. ema50 - 395.124
  20. ema100 - 398.486
  21. price_ema9_diff - 0.00590823
  22. ema9_ema21_diff - -0.00135403
  23. ema21_ema50_diff - -0.00672964
  24. price_ema100_diff - -0.010632
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.541899
  28. kc_percentage - 0.712332
  29. kc_width_percentage - 0.0222676
    30. ¸
  30. 5m
  31. ema9 - 392.315
  32. ema21 - 391.759
  33. ema50 - 392.022
  34. ema100 - 393.335
  35. price_ema9_diff - 0.00493008
  36. ema9_ema21_diff - 0.00141953
  37. ema21_ema50_diff - -0.00067122
  38. price_ema100_diff - 0.0023257
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.667833
  42. kc_percentage - 1.06409
  43. kc_width_percentage - 0.011121
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102212
  47. 5m_price_ema100_diff: 0.00444394
  48. 5m_price: 102667
  49. 5m_correlation_with_coin: 0.849994
  50. btc_indicators
  51. 15m_ema100: 102819
  52. 15m_price_ema100_diff: -0.00148197
  53. 15m_price: 102667
  54. btc_indicators
  55. 1H_ema100: 103393
  56. 1H_price_ema100_diff: -0.00702925
  57. 1H_price: 102667
    58. ¸

Short Trade on BCH

The 15 May 2025 at 08:35:29

With 4.8642 BCH at 394.25$ per unit.

Position size of 1917.7274 $

Take profit at 391.783 (0.63 %) and Stop Loss at 395.8947 (0.42 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -10 %

Symbol Start at Seach Score Trade Score Trades Count
STX 2025-05-15 08:36:47 0.9821 30 1
RENDER 2025-05-15 08:38:19 0.9802 40 1
MEW 2025-05-15 08:37:57 0.9757 30 1
POL 2025-05-15 08:38:32 0.9754 60 1
SOL 2025-05-15 08:36:01 0.9699 40 1
PUMP 2025-04-08 18:07:27 0.9633 -100 2
BID 2025-07-21 19:12:19 0.9629 -100 1
WCT 2025-06-12 23:24:05 0.9602 -100 2
SUI 2025-04-06 21:24:04 0.9599 100 3
CVX 2025-07-18 17:28:38 0.959 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
08:35:29		 15 May 2025
08:50:00		 14 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
394.25 395.8947 391.783 1.5 596.69
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 394.25
  • Stop Loss: 395.8947
  • Take Profit: 391.783

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 395.8947 - 394.25 = 1.6447

  • Récompense (distance jusqu'au take profit):

    E - TP = 394.25 - 391.783 = 2.467

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 2.467 / 1.6447 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
1917.7274 100 4.8642 19.18
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 1.6447

Taille de position = 8 / 1.6447 = 4.86

Taille de position USD = 4.86 x 394.25 = 1916.06

Donc, tu peux acheter 4.86 avec un stoploss a 395.8947

Avec un position size USD de 1916.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4.86 x 1.6447 = 7.99

Si Stop Loss atteint, tu perdras 7.99$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4.86 x 2.467 = 11.99

Si Take Profit atteint, tu gagneras 11.99$

Résumé

  • Taille de position 4.86
  • Taille de position USD 1916.06
  • Perte potentielle 7.99
  • Gain potentiel 11.99
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.63 % 12 $
SL % Target SL $ Target
0.42 % 8 $
PNL PNL %
11.68 $ 0.61
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 390.8
            [stop_loss] => 395.9
            [rr_ratio] => 2
            [closed_at] => 2025-05-15 09:30:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 389.95
            [stop_loss] => 395.9
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-15 09:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 389.1
            [stop_loss] => 395.9
            [rr_ratio] => 3
            [closed_at] => 2025-05-15 09:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 388.25
            [stop_loss] => 395.9
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-15 09:40:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 387.4
            [stop_loss] => 395.9
            [rr_ratio] => 4
            [closed_at] => 2025-05-15 09:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 386.55
            [stop_loss] => 395.9
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-15 09:45:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 385.7
            [stop_loss] => 395.9
            [rr_ratio] => 5
            [closed_at] => 2025-05-15 09:50:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 384.85
            [stop_loss] => 395.9
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-15 10:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 384
            [stop_loss] => 395.9
            [rr_ratio] => 6
            [closed_at] => 2025-05-15 10:40:00
            [result] => win
        )

    [6.5] => Array
        (
            [take_profit] => 383.15
            [stop_loss] => 395.9
            [rr_ratio] => 6.5
            [closed_at] => 2025-05-15 10:45:00
            [result] => win
        )

    [7] => Array
        (
            [take_profit] => 382.3
            [stop_loss] => 395.9
            [rr_ratio] => 7
            [closed_at] => 2025-05-15 12:50:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 10.15
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 393.80000000
            [low] => 384.10000000
            [mfe_pct] => 2.57
            [mae_pct] => -0.11
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T08:35:29-04:00
            [end_at] => 2025-05-15T10:35:29-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 11.25
            [max_drawdown] => 3.81
            [rr_ratio] => 2.95
            [high] => 398.06000000
            [low] => 383.00000000
            [mfe_pct] => 2.85
            [mae_pct] => 0.97
            [mfe_mae_ratio] => 2.95
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T08:35:29-04:00
            [end_at] => 2025-05-15T14:35:29-04:00
        )

    [breakout] => Array
        (
            [high_before] => 395.73000000
            [high_after] => 398.06000000
            [low_before] => 387.63000000
            [low_after] => 383.00000000
            [is_new_high] => 
            [is_new_low] => 1
        )

)