Trade

buy - BROCCOLIF3B

Status
loss
2025-05-14 06:13:00
2 hours
PNL
-4.89
Entry: 0.02473
Last: 0.02352000

Results

Status:
loss
Trade Type:
buy
Prediction Score: -1.9711
Prediction 1 Probability
Strong Trade
0.6
Prediction 2 Probability
1 0.49
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.51

Signal

CatchTheWave Signal - buy

Indicators:

  1. long_trend: 1
  2. short_kc: True
  3. short_kc_percentage: 0.07
  4. atr: 0.000805634179
Details
  1. score: 2.07
  2. 1H
  3. ema9 - 0.0253656
  4. ema21 - 0.0245235
  5. ema50 - 0.0234217
  6. ema100 - 0.0225395
  7. price_ema9_diff - -0.0250214
  8. ema9_ema21_diff - 0.0343419
  9. ema21_ema50_diff - 0.0470418
  10. price_ema100_diff - 0.0972267
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.522273
  14. kc_percentage - 0.520294
  15. kc_width_percentage - 0.309583
  16. ¸
  17. 15m
  18. ema9 - 0.0264417
  19. ema21 - 0.0262398
  20. ema50 - 0.0253138
  21. ema100 - 0.0245059
  22. price_ema9_diff - -0.0646995
  23. ema9_ema21_diff - 0.00769353
  24. ema21_ema50_diff - 0.0365842
  25. price_ema100_diff - 0.00918522
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.428129
  29. kc_percentage - 0.222359
  30. kc_width_percentage - 0.224928
  31. ¸
  32. 5m
  33. ema9 - 0.0259266
  34. ema21 - 0.0265366
  35. ema50 - 0.0264723
  36. ema100 - 0.0258324
  37. price_ema9_diff - -0.0461164
  38. ema9_ema21_diff - -0.0229864
  39. ema21_ema50_diff - 0.00242758
  40. price_ema100_diff - -0.04264
  41. all_emas_in_trend - False
  42. all_emas_and_price_in_trend - False
  43. rsi - 0.337514
  44. kc_percentage - -0.0722953
  45. kc_width_percentage - 0.126084
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 103539
  50. 5m_price_ema100_diff: 0.000657557
  51. 5m_price: 103607
  52. 5m_correlation_with_coin: 0.012906
  53. btc_indicators
  54. 15m_ema100: 103672
  55. 15m_price_ema100_diff: -0.000625675
  56. 15m_price: 103607
  57. btc_indicators
  58. 1H_ema100: 103580
  59. 1H_price_ema100_diff: 0.000265672
  60. 1H_price: 103607
  61. ¸

Long Trade on BROCCOLIF3B

The 14 May 2025 at 06:13:00

With 6620.0435 BROCCOLIF3B at 0.02473$ per unit.

Position size of 163.7203 $

Take profit at 0.02654 (7.32 %) and Stop Loss at 0.02352 (4.89 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -4 %

Symbol Start at Seach Score Trade Score Trades Count
OG 2025-08-05 12:21:31 0.9521 30 1
GRASS 2025-08-09 07:56:34 0.9467 -100 2
RESOLV 2025-06-23 09:25:27 0.9444 30 2
VVV 2025-07-27 19:34:49 0.9429 70 1
ELX 2025-07-26 04:44:40 0.941 -100 3
OP 2025-08-07 10:34:36 0.9402 30 1
S 2025-07-10 20:47:19 0.9368 40 1
HIPPO 2025-07-13 15:21:41 0.9364 30 1
1000BONK 2025-03-26 08:24:27 0.9361 30 1
XCN 2025-05-15 23:20:40 0.9355 -100 1

📌 Time Data

Start at Closed at Duration
14 May 2025
06:13:00
14 May 2025
08:20:00
2 hours

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.02473 0.02352 0.02654 1.5 0.00972
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 0.02473
  • Stop Loss: 0.02352
  • Take Profit: 0.02654

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.02352 - 0.02473 = -0.00121

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.02473 - 0.02654 = -0.00181

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = -0.00181 / -0.00121 = 1.4959

📌 Position Size

Amount Margin Quantity Leverage
163.7203 100 6620.0435 1.64
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 -0.00121

Taille de position = 8 / -0.00121 = -6611.57

Taille de position USD = -6611.57 x 0.02473 = -163.5

Donc, tu peux acheter -6611.57 avec un stoploss a 0.02352

Avec un position size USD de -163.5$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -6611.57 x -0.00121 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -6611.57 x -0.00181 = 11.97

Si Take Profit atteint, tu gagneras 11.97$

Résumé

  • Taille de position -6611.57
  • Taille de position USD -163.5
  • Perte potentielle 8
  • Gain potentiel 11.97
  • Risk-Reward Ratio 1.4959

📌 Peformances

TP % Target TP $ Target
7.32 % 11.98 $
SL % Target SL $ Target
4.89 % 8.01 $
PNL PNL %
-8.01 $ -4.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-9.0173877881116 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.02654
            [entry_price] => 0.02473
            [stop_loss] => 0.023399
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-14 08:20:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.02654
            [entry_price] => 0.02473
            [stop_loss] => 0.023278
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-14 08:20:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.02654
            [entry_price] => 0.02473
            [stop_loss] => 0.023157
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-14 08:20:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.02654
            [entry_price] => 0.02473
            [stop_loss] => 0.022915
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-14 08:20:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.000542
            [max_drawdown] => 0.000988
            [rr_ratio] => 0.55
            [high] => 0.02527200
            [low] => 0.02374200
            [mfe_pct] => 2.19
            [mae_pct] => 4
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 24
            [start_at] => 2025-05-14T06:13:00-04:00
            [end_at] => 2025-05-14T08:13:00-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.000542
            [max_drawdown] => 0.004841
            [rr_ratio] => 0.11
            [high] => 0.02527200
            [low] => 0.01988900
            [mfe_pct] => 2.19
            [mae_pct] => 19.58
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 72
            [start_at] => 2025-05-14T06:13:00-04:00
            [end_at] => 2025-05-14T12:13:00-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.02885900
            [high_after] => 0.02527200
            [low_before] => 0.02401000
            [low_after] => 0.01988900
            [is_new_high] => 
            [is_new_low] => 
        )

)