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Trade

sell - ALGO

Status
loss
2025-05-15 11:47:31
32 minutes
PNL
-0.88
Entry: 0.2268
Last: 0.22880000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -8.0059
Prediction 1 Probability
Weak Trade
0.57
Prediction 2 Probability
0 0.53
Prediction 3 Probability
n/a
ML Trade Score: -100
ML Pullback Score: 0.69

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.02
  4. atr: 0.001302572269
Details
  1. score: 1.02
  2. 1H
  3. ema9 - 0.226205
  4. ema21 - 0.230194
  5. ema50 - 0.235358
  6. ema100 - 0.238391
  7. price_ema9_diff - 0.00262612
  8. ema9_ema21_diff - -0.017325
  9. ema21_ema50_diff - -0.0219434
  10. price_ema100_diff - -0.0486255
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.423926
  14. kc_percentage - 0.335266
  15. kc_width_percentage - 0.0829605
    16. ¸
  16. 15m
  17. ema9 - 0.22447
  18. ema21 - 0.2253
  19. ema50 - 0.227798
  20. ema100 - 0.230956
  21. price_ema9_diff - 0.0103779
  22. ema9_ema21_diff - -0.0036855
  23. ema21_ema50_diff - -0.0109662
  24. price_ema100_diff - -0.0179964
  25. all_emas_in_trend - True
  26. all_emas_and_price_in_trend - False
  27. rsi - 0.528717
  28. kc_percentage - 0.653478
  29. kc_width_percentage - 0.0453948
    30. ¸
  30. 5m
  31. ema9 - 0.224954
  32. ema21 - 0.224183
  33. ema50 - 0.224752
  34. ema100 - 0.225362
  35. price_ema9_diff - 0.00820502
  36. ema9_ema21_diff - 0.00343748
  37. ema21_ema50_diff - -0.00253187
  38. price_ema100_diff - 0.00637984
  39. all_emas_in_trend - False
  40. all_emas_and_price_in_trend - False
  41. rsi - 0.638911
  42. kc_percentage - 1.01895
  43. kc_width_percentage - 0.022197
    44. ¸
  44. btc_indicators
  45. btc_indicators
  46. 5m_ema100: 102113
  47. 5m_price_ema100_diff: 0.00923425
  48. 5m_price: 103056
  49. 5m_correlation_with_coin: 0.816093
  50. btc_indicators
  51. 15m_ema100: 102603
  52. 15m_price_ema100_diff: 0.00441722
  53. 15m_price: 103056
  54. btc_indicators
  55. 1H_ema100: 103363
  56. 1H_price_ema100_diff: -0.00296461
  57. 1H_price: 103056
    58. ¸

Short Trade on ALGO

The 15 May 2025 at 11:47:31

With 4094.4625 ALGO at 0.2268$ per unit.

Position size of 928.6241 $

Take profit at 0.2239 (1.28 %) and Stop Loss at 0.2288 (0.88 %)

That's a 1.45 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
BCH 2025-05-15 11:45:18 0.9881 -100 1
FET 2025-05-15 11:53:37 0.9766 -100 2
SHIB 2025-05-15 11:46:39 0.9838 -100 1
ENS 2025-05-15 11:48:10 0.982 -100 1
VET 2025-05-15 11:48:57 0.9817 -100 1
HBAR 2025-05-15 11:48:48 0.9815 -100 1
LINK 2025-05-15 11:45:41 0.9808 -100 1
GMT 2025-05-15 11:47:41 0.9767 -100 1
GALA 2025-05-15 11:46:49 0.9763 -100 1
FIL 2025-05-15 11:46:11 0.9761 -100 1
ATOM 2025-05-15 11:46:25 0.9703 -100 1
XRP 2025-05-15 11:54:57 0.969 -100 1

📌 Time Data

Start at Closed at Duration
15 May 2025
11:47:31		 15 May 2025
12:20:00		 32 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2268 0.2288 0.2239 1.45 0.2618
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 0.2268
  • Stop Loss: 0.2288
  • Take Profit: 0.2239

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2288 - 0.2268 = 0.002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2268 - 0.2239 = 0.0029

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0029 / 0.002 = 1.45

📌 Position Size

Amount Margin Quantity Leverage
928.6241 100 4094.4625 9.29
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 0.002

Taille de position = 8 / 0.002 = 4000

Taille de position USD = 4000 x 0.2268 = 907.2

Donc, tu peux acheter 4000 avec un stoploss a 0.2288

Avec un position size USD de 907.2$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 4000 x 0.002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 4000 x 0.0029 = 11.6

Si Take Profit atteint, tu gagneras 11.6$

Résumé

  • Taille de position 4000
  • Taille de position USD 907.2
  • Perte potentielle 8
  • Gain potentiel 11.6
  • Risk-Reward Ratio 1.45

📌 Peformances

TP % Target TP $ Target
1.28 % 11.87 $
SL % Target SL $ Target
0.88 % 8.19 $
PNL PNL %
-8.19 $ -0.88
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.92592592592592 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.229
            [rr_ratio] => 1.32
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2292
            [rr_ratio] => 1.21
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2294
            [rr_ratio] => 1.12
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.2239
            [entry_price] => 0.2268
            [stop_loss] => 0.2298
            [rr_ratio] => 0.97
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-15 12:45:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00070000000000001
            [max_drawdown] => 0.0062
            [rr_ratio] => 0.11
            [high] => 0.23300000
            [low] => 0.22610000
            [mfe_pct] => 0.31
            [mae_pct] => 2.73
            [mfe_mae_ratio] => 0.11
            [candles_analyzed] => 24
            [start_at] => 2025-05-15T11:47:31-04:00
            [end_at] => 2025-05-15T13:47:31-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0062
            [max_drawdown] => 0.0062
            [rr_ratio] => 1
            [high] => 0.23300000
            [low] => 0.22060000
            [mfe_pct] => 2.73
            [mae_pct] => 2.73
            [mfe_mae_ratio] => 1
            [candles_analyzed] => 72
            [start_at] => 2025-05-15T11:47:31-04:00
            [end_at] => 2025-05-15T17:47:31-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.23020000
            [high_after] => 0.23300000
            [low_before] => 0.21980000
            [low_after] => 0.22060000
            [is_new_high] => 
            [is_new_low] => 
        )

)