Comments (4)
Oh, it’s a good idea to compare to other libraries, it’s really your only way to double check that everything’s okay. Some of them are not good sources of truth, is the only point I was making.
My guess is that there’s a slight variance between the raw quote data sources you’re comparing. Are you able to get the raw data from each of these sources to compare equivalency? Some of them may use dividend adjusted prices, Yahoo might have a separate adjusted price too.
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After getting raw data from tw problem seems to be with the Yahoo adjusted data. Thanks for your help
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Check to make sure you're using enough historical data to exceed the normal warmup and convergence periods for Relative Strength Index (RSI). It's a common problem that is misunderstood that can be extra frustrating when comparing to other potentially faulty platforms.
Warning
For RSI, the first10×N
periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.
Review this additional information and see if it can explain what you're seeing. If you still believe there's something wrong with this library, please provide more specific information to allow us to narrow down the source or to reproduce the error.
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Sorry for misunderstanding i did not mean to compare you with other libraries it was just to double check.
I am sure there is enough historical data as i have tried remove warmup periods which did not have any effect.
With the attached file when i use getrsi it calculates rsi as "52.5963803620636" . Close is the last coloumn.
And here are the results from other sources. It should be 56.
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Related Issues (20)
- add Andrews pitchfork
- add isolated increment methods
- quote-stream auto-aggregator HOT 1
- handle out-of-sequence late-arrival quotes HOT 1
- auto-prune in-memory stream data HOT 5
- stream through full chains HOT 1
- Forward Curve for CoT Trading HOT 1
- How to calculate a stream HOT 1
- Stc Bug - Out of range exception HOT 3
- Can't seem to matchup the SuperTrend or ATR results with the results showing on chart. HOT 2
- Williams %R values out of 0 to -100 bounds HOT 4
- Fractal all nulls HOT 2
- RSI missing default param value when chainee HOT 2
- add RCI (Rank Correlation Index) HOT 1
- Four-hour pivot points HOT 1
- add Smoothed Heiken Ashi HOT 1
- Ichimoko SenkouSpanA miscalculation HOT 3
- GetEma return NULL HOT 2
- Native support of Pandas DataFrame? HOT 4
- Connors RSI accuracy (during warmup periods) HOT 10
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