Trade

sell - ALGO

Status
loss
2025-06-18 00:12:22
27 minutes
PNL
-0.23
Entry: 0.1706
Last: 0.17100000

Results

Status:
loss
Trade Type:
sell
Prediction Score: -0.1322
Prediction 1 Accuracy
Weak Trade
0.7
Prediction 2 Accuracy
0 0.61
ML Trade Score: -100

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.16
  4. atr: 0.0002643198511
Details
  1. score: 1.16
  2. 1H
  3. ema9 - 0.170024
  4. ema21 - 0.171336
  5. ema50 - 0.174085
  6. ema100 - 0.175916
  7. price_ema9_diff - 0.0033844
  8. ema9_ema21_diff - -0.00765681
  9. ema21_ema50_diff - -0.0157937
  10. price_ema100_diff - -0.0302221
  11. all_emas_in_trend - True
  12. all_emas_and_price_in_trend - False
  13. rsi - 0.447242
  14. kc_percentage - 0.417932
  15. kc_width_percentage - 0.0431874
  16. volume_ema_diff - -0.654034
  17. ¸
  18. 15m
  19. ema9 - 0.169947
  20. ema21 - 0.169876
  21. ema50 - 0.170382
  22. ema100 - 0.171832
  23. price_ema9_diff - 0.00383882
  24. ema9_ema21_diff - 0.000421465
  25. ema21_ema50_diff - -0.00297433
  26. price_ema100_diff - -0.00717482
  27. all_emas_in_trend - False
  28. all_emas_and_price_in_trend - False
  29. rsi - 0.553359
  30. kc_percentage - 0.775871
  31. kc_width_percentage - 0.0154498
  32. volume_ema_diff - -0.346443
  33. ¸
  34. 5m
  35. ema9 - 0.170123
  36. ema21 - 0.16992
  37. ema50 - 0.169868
  38. ema100 - 0.170158
  39. price_ema9_diff - 0.00280211
  40. ema9_ema21_diff - 0.00119238
  41. ema21_ema50_diff - 0.000309203
  42. price_ema100_diff - 0.00259421
  43. all_emas_in_trend - True
  44. all_emas_and_price_in_trend - True
  45. rsi - 0.628379
  46. kc_percentage - 1.15834
  47. kc_width_percentage - 0.00596314
  48. volume_ema_diff - 1.69634
  49. ¸
  50. btc_indicators
  51. btc_indicators
  52. 5m_ema100: 104765
  53. 5m_price_ema100_diff: 0.00387123
  54. 5m_price: 105171
  55. 5m_correlation_with_coin: 0.700093
  56. btc_indicators
  57. 15m_ema100: 105286
  58. 15m_price_ema100_diff: -0.00109292
  59. 15m_price: 105171
  60. btc_indicators
  61. 1H_ema100: 105711
  62. 1H_price_ema100_diff: -0.00510866
  63. 1H_price: 105171
  64. ¸

Short Trade on ALGO

The 18 Jun 2025 at 00:12:22

With 20180 ALGO at 0.1706$ per unit.

Position size of 3442 $

Take profit at 0.17 (0.35 %) and Stop Loss at 0.171 (0.23 %)

That's a 1.5 RR Trade

📌 Similar Trades

Similar Trade Score: -100 %

Symbol Start at Seach Score Trade Score Trades Count
NEAR 2025-06-18 00:14:50 0.9491 -100 2
FLOKI 2025-06-18 00:16:18 0.926 -100 2
LDO 2025-06-18 00:15:51 0.9138 -100 2
RENDER 2025-06-18 00:17:50 0.9089 -100 4
APT 2025-06-18 00:18:10 0.9066 -100 1
APE 2025-06-18 00:17:57 0.8837 -100 1
TURBO 2025-06-18 00:13:45 0.879 -100 1

📌 Time Data

Start at Closed at Duration
18 Jun 2025
00:12:22
18 Jun 2025
00:40:00
27 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1706 0.171 0.17 1.5 0.1742
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 0.1706
  • Stop Loss: 0.171
  • Take Profit: 0.17

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.171 - 0.1706 = 0.00040000000000001

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1706 - 0.17 = 0.00059999999999999

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.00059999999999999 / 0.00040000000000001 = 1.5

📌 Position Size

Amount Margin Quantity Leverage
3442 100 20180 34.42
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 0.00040000000000001

Taille de position = 8 / 0.00040000000000001 = 20000

Taille de position USD = 20000 x 0.1706 = 3412

Donc, tu peux acheter 20000 avec un stoploss a 0.171

Avec un position size USD de 3412$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 20000 x 0.00040000000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 20000 x 0.00059999999999999 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

  • Taille de position 20000
  • Taille de position USD 3412
  • Perte potentielle 8
  • Gain potentiel 12
  • Risk-Reward Ratio 1.5

📌 Peformances

TP % Target TP $ Target
0.35 % 12 $
SL % Target SL $ Target
0.23 % 8.1 $
PNL PNL %
-8.1 $ -0.23
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.2931 % 0 % 0

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.17
            [entry_price] => 0.1706
            [stop_loss] => 0.17104
            [rr_ratio] => 1.36
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.17
            [entry_price] => 0.1706
            [stop_loss] => 0.17108
            [rr_ratio] => 1.25
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-06-18 00:40:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.17
            [entry_price] => 0.1706
            [stop_loss] => 0.17112
            [rr_ratio] => 1.15
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.17
            [entry_price] => 0.1706
            [stop_loss] => 0.1712
            [rr_ratio] => 1
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-06-18 00:45:00
            [result] => loss
        )

)