Trade

sell - 1000RATS

Status
loss
2025-05-12 18:35:20
39 minutes
PNL
-0.89
Entry: 0.03149
Last: 0.03177000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -3.3878
Prediction 1 Accuracy
Weak Trade
0.82
Prediction 2 Accuracy
0 0.72
ML Trade Score: -100
ML Pullback Score: 5.65

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.28
  4. atr: 0.0001889967992
Details
  1. score: 1.28
  2. 1H
  3. ema9 - 0.0314686
  4. ema21 - 0.0320266
  5. ema50 - 0.0321372
  6. ema100 - 0.0322707
  7. price_ema9_diff - 0.000679951
  8. ema9_ema21_diff - -0.0174234
  9. ema21_ema50_diff - -0.00344375
  10. price_ema100_diff - -0.0241943
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.460599
  14. kc_percentage - 0.401755
  15. kc_width_percentage - 0.16797
  16. ¸
  17. 15m
  18. ema9 - 0.0309217
  19. ema21 - 0.0310429
  20. ema50 - 0.0317598
  21. ema100 - 0.0320922
  22. price_ema9_diff - 0.0183754
  23. ema9_ema21_diff - -0.00390197
  24. ema21_ema50_diff - -0.0225727
  25. price_ema100_diff - -0.0187672
  26. all_emas_in_trend - True
  27. all_emas_and_price_in_trend - False
  28. rsi - 0.535895
  29. kc_percentage - 0.745724
  30. kc_width_percentage - 0.0612169
  31. ¸
  32. 5m
  33. ema9 - 0.0311912
  34. ema21 - 0.0309318
  35. ema50 - 0.0308951
  36. ema100 - 0.0312675
  37. price_ema9_diff - 0.00957932
  38. ema9_ema21_diff - 0.00838464
  39. ema21_ema50_diff - 0.00118747
  40. price_ema100_diff - 0.00711378
  41. all_emas_in_trend - True
  42. all_emas_and_price_in_trend - True
  43. rsi - 0.734354
  44. kc_percentage - 1.27552
  45. kc_width_percentage - 0.0222693
  46. ¸
  47. btc_indicators
  48. btc_indicators
  49. 5m_ema100: 102544
  50. 5m_price_ema100_diff: 0.00229189
  51. 5m_price: 102779
  52. 5m_correlation_with_coin: 0.771656
  53. btc_indicators
  54. 15m_ema100: 103287
  55. 15m_price_ema100_diff: -0.00491062
  56. 15m_price: 102779
  57. btc_indicators
  58. 1H_ema100: 103231
  59. 1H_price_ema100_diff: -0.00437752
  60. 1H_price: 102779
  61. ¸

Short Trade on 1000RATS

The 12 May 2025 at 18:35:20

With 28219.1728 1000RATS at 0.03149$ per unit.

Position size of 888.6218 $

Take profit at 0.03106 (1.37 %) and Stop Loss at 0.03177 (0.89 %)

That's a 1.54 RR Trade

📌 Similar Trades

Similar Trade Score: -54.44 %

Symbol Start at Seach Score Trade Score Trades Count
DOT 2025-06-02 08:54:25 0.9373 -100 2
GRASS 2025-05-12 18:37:13 0.9364 -100 1
TSTBSC 2025-04-26 12:03:16 0.9337 40 1
WLD 2025-06-09 05:08:47 0.9321 -100 1
LTC 2025-05-14 14:20:31 0.9318 -100 1
USELESS 2025-07-20 23:14:25 0.9295 -100 2
MELANIA 2025-06-26 16:29:25 0.9309 -100 1
EIGEN 2025-06-13 00:38:08 0.9294 30 1
TRB 2025-07-01 17:56:27 0.9284 40 1

📌 Time Data

Start at Closed at Duration
12 May 2025
18:35:20
12 May 2025
19:15:00
39 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.03149 0.03177 0.03106 1.54 0.0207
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 0.03149
  • Stop Loss: 0.03177
  • Take Profit: 0.03106

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.03177 - 0.03149 = 0.00028

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.03149 - 0.03106 = 0.00043

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00043 / 0.00028 = 1.5357

📌 Position Size

Amount Margin Quantity Leverage
888.6218 100 28219.1728 8.89
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 0.00028

Taille de position = 8 / 0.00028 = 28571.43

Taille de position USD = 28571.43 x 0.03149 = 899.71

Donc, tu peux acheter 28571.43 avec un stoploss a 0.03177

Avec un position size USD de 899.71$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 28571.43 x 0.00028 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 28571.43 x 0.00043 = 12.29

Si Take Profit atteint, tu gagneras 12.29$

Résumé

  • Taille de position 28571.43
  • Taille de position USD 899.71
  • Perte potentielle 8
  • Gain potentiel 12.29
  • Risk-Reward Ratio 1.5357

📌 Peformances

TP % Target TP $ Target
1.37 % 12.13 $
SL % Target SL $ Target
0.89 % 7.9 $
PNL PNL %
-7.9 $ -0.89
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-1.3972689742776 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.03106
            [entry_price] => 0.03149
            [stop_loss] => 0.031798
            [rr_ratio] => 1.4
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-12 19:15:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.03106
            [entry_price] => 0.03149
            [stop_loss] => 0.031826
            [rr_ratio] => 1.28
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-12 19:15:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.03106
            [entry_price] => 0.03149
            [stop_loss] => 0.031854
            [rr_ratio] => 1.18
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-12 19:15:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.03106
            [entry_price] => 0.03149
            [stop_loss] => 0.03191
            [rr_ratio] => 1.02
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-12 19:15:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00037
            [max_drawdown] => 0.00065
            [rr_ratio] => 0.57
            [high] => 0.03214000
            [low] => 0.03112000
            [mfe_pct] => 1.17
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 0.57
            [candles_analyzed] => 24
            [start_at] => 2025-05-12T18:35:20-04:00
            [end_at] => 2025-05-12T20:35:20-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00389
            [max_drawdown] => 0.00065
            [rr_ratio] => 5.98
            [high] => 0.03214000
            [low] => 0.02760000
            [mfe_pct] => 12.35
            [mae_pct] => 2.06
            [mfe_mae_ratio] => 5.98
            [candles_analyzed] => 72
            [start_at] => 2025-05-12T18:35:20-04:00
            [end_at] => 2025-05-13T00:35:20-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.03157000
            [high_after] => 0.03214000
            [low_before] => 0.02933000
            [low_after] => 0.02760000
            [is_new_high] => 
            [is_new_low] => 1
        )

)