Web3Way Logo

Trade

sell - ALGO

Status
win
2025-08-11 22:39:48
5 minutes
PNL
0.62
Entry: 0.2586
Last: 0.25700000

Results

Status:
win
Trade Type:
sell
Prediction Score: -0.4
Prediction 1 Probability
Weak Trade
0.62
Prediction 2 Probability
0 0.61
Prediction 3 Probability
1 0.59
ML Trade Score: 110
ML Pullback Score: 8

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.22
  4. atr: 0.0007055364821
Details
  1. score: 1.22
  2. 1H
  3. ema9 - 0.25705
  4. ema21 - 0.260255
  5. ema50 - 0.264001
  6. ema100 - 0.26545
  7. price_ema9_diff - 0.00602937
  8. ema9_ema21_diff - -0.0123175
  9. ema21_ema50_diff - -0.0141875
  10. price_ema100_diff - -0.025808
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.442018
  14. adx - 0.289822
  15. kc_percentage - 0.407336
  16. kc_width_percentage - 0.0594153
  17. volume_ema_diff - -0.494806
  18. volume_ema1 - 407933.29310195
  19. volume_ema2 - 807478.60549616
    20. ¸
  20. 15m
  21. ema9 - 0.256582
  22. ema21 - 0.255987
  23. ema50 - 0.257928
  24. ema100 - 0.261688
  25. price_ema9_diff - 0.00786338
  26. ema9_ema21_diff - 0.00232242
  27. ema21_ema50_diff - -0.00752277
  28. price_ema100_diff - -0.0118039
  29. all_emas_in_trend - False
  30. all_emas_and_price_in_trend - False
  31. rsi - 0.61296
  32. adx - 0.201744
  33. kc_percentage - 0.969941
  34. kc_width_percentage - 0.0215565
  35. volume_ema_diff - -0.406603
  36. volume_ema1 - 96999.925307619
  37. volume_ema2 - 163465.72471705
    38. ¸
  38. 5m
  39. ema9 - 0.257288
  40. ema21 - 0.256551
  41. ema50 - 0.255732
  42. ema100 - 0.255782
  43. price_ema9_diff - 0.00509616
  44. ema9_ema21_diff - 0.00287547
  45. ema21_ema50_diff - 0.00320224
  46. price_ema100_diff - 0.0110168
  47. all_emas_in_trend - True
  48. all_emas_and_price_in_trend - True
  49. rsi - 0.675596
  50. adx - 0.247582
  51. kc_percentage - 1.22318
  52. kc_width_percentage - 0.010687
  53. volume_ema_diff - 0.512602
  54. volume_ema1 - 55214.923775098
  55. volume_ema2 - 36503.272125465
    56. ¸
  56. btc_indicators
  57. btc_indicators
  58. 5m_ema100: 118978
  59. 5m_price_ema100_diff: 0.00194161
  60. 5m_price: 119209
  61. 5m_correlation_with_coin: 0.746829
  62. btc_indicators
  63. 15m_ema100: 119721
  64. 15m_price_ema100_diff: -0.00483675
  65. 15m_price: 119142
  66. btc_indicators
  67. 1H_ema100: 118559
  68. 1H_price_ema100_diff: 0.00548282
  69. 1H_price: 119209
    70. ¸

Short Trade on ALGO

The 11 Aug 2025 at 22:39:48

With 7559.2595 ALGO at 0.2586$ per unit.

Position size of 1954.8245 $

Take profit at 0.257 (0.62 %) and Stop Loss at 0.2597 (0.43 %)

That's a 1.45 RR Trade

📌 Similar Trades

Similar Trade Score: 30.3 %

Symbol Start at Seach Score Trade Score Trades Count
ADA 2025-08-11 22:37:44 0.9713 70 1
NEAR 2025-08-11 22:39:28 0.9625 30 1
XRP 2025-08-11 22:37:32 0.9612 30 1
ZIL 2025-08-11 22:38:07 0.9525 13.33 3
IOTA 2025-08-11 22:39:55 0.959 80 1
FLOKI 2025-08-11 22:42:22 0.9564 50 1
HYPE 2025-08-11 22:45:44 0.9529 60 1
RAY 2025-05-06 13:16:55 0.9477 -100 2
BB 2025-06-17 10:15:33 0.9457 40 1
FIL 2025-08-11 22:38:29 0.9456 30 1
KILO 2025-04-29 23:20:38 0.9428 30 1

📌 Time Data

Start at Closed at Duration
11 Aug 2025
22:39:48		 11 Aug 2025
22:45:00		 5 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.2586 0.2597 0.257 1.45 0.2637
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 0.2586
  • Stop Loss: 0.2597
  • Take Profit: 0.257

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.2597 - 0.2586 = 0.0011

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.2586 - 0.257 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.0011 = 1.4545

📌 Position Size

Amount Margin Quantity Leverage
1954.8245 100 7559.2595 19.55
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 0.0011

Taille de position = 8 / 0.0011 = 7272.73

Taille de position USD = 7272.73 x 0.2586 = 1880.73

Donc, tu peux acheter 7272.73 avec un stoploss a 0.2597

Avec un position size USD de 1880.73$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 7272.73 x 0.0011 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 7272.73 x 0.0016 = 11.64

Si Take Profit atteint, tu gagneras 11.64$

Résumé

  • Taille de position 7272.73
  • Taille de position USD 1880.73
  • Perte potentielle 8
  • Gain potentiel 11.64
  • Risk-Reward Ratio 1.4545

📌 Peformances

TP % Target TP $ Target
0.62 % 12.09 $
SL % Target SL $ Target
0.43 % 8.32 $
PNL PNL %
12.09 $ 0.62
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.2564
            [stop_loss] => 0.2597
            [rr_ratio] => 2
            [closed_at] => 2025-08-11 22:55:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.25585
            [stop_loss] => 0.2597
            [rr_ratio] => 2.5
            [closed_at] => 2025-08-11 23:05:00
            [result] => win
        )

    [3] => Array
        (
            [take_profit] => 0.2553
            [stop_loss] => 0.2597
            [rr_ratio] => 3
            [closed_at] => 2025-08-11 23:15:00
            [result] => win
        )

    [3.5] => Array
        (
            [take_profit] => 0.25475
            [stop_loss] => 0.2597
            [rr_ratio] => 3.5
            [closed_at] => 2025-08-11 23:25:00
            [result] => win
        )

    [4] => Array
        (
            [take_profit] => 0.2542
            [stop_loss] => 0.2597
            [rr_ratio] => 4
            [closed_at] => 2025-08-12 01:30:00
            [result] => win
        )

    [4.5] => Array
        (
            [take_profit] => 0.25365
            [stop_loss] => 0.2597
            [rr_ratio] => 4.5
            [closed_at] => 2025-08-12 02:10:00
            [result] => win
        )

    [5] => Array
        (
            [take_profit] => 0.2531
            [stop_loss] => 0.2597
            [rr_ratio] => 5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

    [5.5] => Array
        (
            [take_profit] => 0.25255
            [stop_loss] => 0.2597
            [rr_ratio] => 5.5
            [closed_at] => 2025-08-12 02:15:00
            [result] => win
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0039
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.25860000
            [low] => 0.25470000
            [mfe_pct] => 1.51
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 24
            [start_at] => 2025-08-11T22:39:48-04:00
            [end_at] => 2025-08-12T00:39:48-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0062
            [max_drawdown] => 1.0E-6
            [rr_ratio] => 100
            [high] => 0.25860000
            [low] => 0.25240000
            [mfe_pct] => 2.4
            [mae_pct] => 0
            [mfe_mae_ratio] => 
            [candles_analyzed] => 84
            [start_at] => 2025-08-11T22:39:48-04:00
            [end_at] => 2025-08-12T05:39:48-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.25870000
            [high_after] => 0.25860000
            [low_before] => 0.25260000
            [low_after] => 0.25240000
            [is_new_high] => 
            [is_new_low] => 1
        )

)