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Trade

sell - ALCH

Status
win
2025-05-22 12:02:50
17 minutes
PNL
1.76
Entry: 0.1477
Last: 0.14510000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.9039
Prediction 1 Accuracy
Weak Trade
0.59
Prediction 2 Accuracy
0 0.57
ML Trade Score: 120
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.04
  4. atr: 0.00114201535
Details
  1. score: 1.04
  2. 1H
  3. ema9 - 0.146804
  4. ema21 - 0.149566
  5. ema50 - 0.15265
  6. ema100 - 0.154472
  7. price_ema9_diff - 0.00609753
  8. ema9_ema21_diff - -0.0184637
  9. ema21_ema50_diff - -0.0202052
  10. price_ema100_diff - -0.0438418
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.458749
  14. kc_percentage - 0.407868
  15. kc_width_percentage - 0.123303
    16. ¸
  16. 15m
  17. ema9 - 0.145245
  18. ema21 - 0.1455
  19. ema50 - 0.147542
  20. ema100 - 0.150778
  21. price_ema9_diff - 0.0168966
  22. ema9_ema21_diff - -0.00175152
  23. ema21_ema50_diff - -0.0138384
  24. price_ema100_diff - -0.0204203
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.554258
  28. kc_percentage - 0.765212
  29. kc_width_percentage - 0.0577249
    30. ¸
  30. 5m
  31. ema9 - 0.146343
  32. ema21 - 0.145254
  33. ema50 - 0.145237
  34. ema100 - 0.146922
  35. price_ema9_diff - 0.00926904
  36. ema9_ema21_diff - 0.00749638
  37. ema21_ema50_diff - 0.000118043
  38. price_ema100_diff - 0.00529328
  39. all_emas_in_trend - True
  40. all_emas_and_price_in_trend - True
  41. rsi - 0.66484
  42. kc_percentage - 1.03695
  43. kc_width_percentage - 0.0301651
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 110994
  47. 5m_price_ema100_diff: 0.00329088
  48. 5m_price: 111359
  49. 5m_correlation_with_coin: 0.255867
  50. btc_indicators
  51. 15m_ema100: 110258
  52. 15m_price_ema100_diff: 0.00998352
  53. 15m_price: 111359
  54. btc_indicators
  55. 1H_ema100: 107382
  56. 1H_price_ema100_diff: 0.037037
  57. 1H_price: 111359
    58. ¸

Short Trade on ALCH

The 22 May 2025 at 12:02:50

With 4670.1065 ALCH at 0.1477$ per unit.

Position size of 689.7747 $

Take profit at 0.1451 (1.76 %) and Stop Loss at 0.1494 (1.15 %)

That's a 1.53 RR Trade

📌 Similar Trades

Similar Trade Score: -37.27 %

Symbol Start at Seach Score Trade Score Trades Count
FARTCOIN 2025-05-06 19:18:08 0.9004 -100 2
FARTCOIN 2025-05-30 15:27:58 0.8858 30 1
NEAR 2025-04-27 23:48:59 0.8904 -100 2
WAL 2025-03-29 17:23:55 0.8858 -100 1
ATOM 2025-04-07 05:40:38 0.8857 60 1
BRETT 2025-07-15 02:08:34 0.8825 -100 1
GRIFFAIN 2025-05-30 15:14:43 0.8824 40 1
GALA 2025-04-07 05:00:45 0.881 -100 1
POPCAT 2025-05-30 15:27:02 0.8794 -100 1
FUN 2025-07-21 09:48:34 0.8793 30 1
LTC 2025-05-24 23:44:55 0.879 30 1

📌 Time Data

Start at Closed at Duration
22 May 2025
12:02:50		 22 May 2025
12:20:00		 17 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1477 0.1494 0.1451 1.53 0.1412
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 0.1477
  • Stop Loss: 0.1494
  • Take Profit: 0.1451

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1494 - 0.1477 = 0.0017

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1477 - 0.1451 = 0.0026

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0026 / 0.0017 = 1.5294

📌 Position Size

Amount Margin Quantity Leverage
689.7747 100 4670.1065 6.90
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 0.0017

Taille de position = 8 / 0.0017 = 4705.88

Taille de position USD = 4705.88 x 0.1477 = 695.06

Donc, tu peux acheter 4705.88 avec un stoploss a 0.1494

Avec un position size USD de 695.06$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4705.88 x 0.0017 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4705.88 x 0.0026 = 12.24

Si Take Profit atteint, tu gagneras 12.24$

Résumé

  • Taille de position 4705.88
  • Taille de position USD 695.06
  • Perte potentielle 8
  • Gain potentiel 12.24
  • Risk-Reward Ratio 1.5294

📌 Peformances

TP % Target TP $ Target
1.76 % 12.14 $
SL % Target SL $ Target
1.15 % 7.94 $
PNL PNL %
12.14 $ 1.76
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1443
            [stop_loss] => 0.1494
            [rr_ratio] => 2
            [closed_at] => 2025-05-22 12:25:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14345
            [stop_loss] => 0.1494
            [rr_ratio] => 2.5
            [closed_at] => 2025-05-22 12:30:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.1426
            [stop_loss] => 0.1494
            [rr_ratio] => 3
            [closed_at] => 2025-05-22 12:35:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.14175
            [stop_loss] => 0.1494
            [rr_ratio] => 3.5
            [closed_at] => 2025-05-22 12:55:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.1409
            [stop_loss] => 0.1494
            [rr_ratio] => 4
            [closed_at] => 2025-05-22 13:45:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.14005
            [stop_loss] => 0.1494
            [rr_ratio] => 4.5
            [closed_at] => 2025-05-22 14:00:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.1392
            [stop_loss] => 0.1494
            [rr_ratio] => 5
            [closed_at] => 2025-05-22 14:55:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.13835
            [stop_loss] => 0.1494
            [rr_ratio] => 5.5
            [closed_at] => 2025-05-22 15:15:00
            [result] => win
        )

    [6] => Array
        (
            [take_profit] => 0.1375
            [stop_loss] => 0.1494
            [rr_ratio] => 6
            [closed_at] => 2025-05-22 15:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00833
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14764000
            [low] => 0.13937000
            [mfe_pct] => 5.64
            [mae_pct] => -0.04
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-05-22T12:02:50-04:00
            [end_at] => 2025-05-22T14:02:50-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.01068
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.14764000
            [low] => 0.13702000
            [mfe_pct] => 7.23
            [mae_pct] => -0.04
            [mfe_mae_ratio] => 
            [candles_analyzed] => 72
            [start_at] => 2025-05-22T12:02:50-04:00
            [end_at] => 2025-05-22T18:02:50-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14879000
            [high_after] => 0.14764000
            [low_before] => 0.13868000
            [low_after] => 0.13702000
            [is_new_high] => 
            [is_new_low] => 1
        )

)