Created
September 27, 2019 07:41
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RSI calculation to match Tradingview
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import pandas as pd | |
def rsi(ohlc: pd.DataFrame, period: int = 14) -> pd.Series: | |
"""See source https://github.com/peerchemist/finta | |
and fix https://www.tradingview.com/wiki/Talk:Relative_Strength_Index_(RSI) | |
Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. | |
RSI oscillates between zero and 100. Traditionally, and according to Wilder, RSI is considered overbought when above 70 and oversold when below 30. | |
Signals can also be generated by looking for divergences, failure swings and centerline crossovers. | |
RSI can also be used to identify the general trend.""" | |
delta = ohlc["close"].diff() | |
up, down = delta.copy(), delta.copy() | |
up[up < 0] = 0 | |
down[down > 0] = 0 | |
_gain = up.ewm(com=(period - 1), min_periods=period).mean() | |
_loss = down.abs().ewm(com=(period - 1), min_periods=period).mean() | |
RS = _gain / _loss | |
return pd.Series(100 - (100 / (1 + RS)), name="RSI") |
This no longer works. The RSI is different from Tradingviews
here is an implementation in Python that is equivalent to the current one in TradingView. Happy trading.
here is an implementation in Python that is equivalent to the current one in TradingView. Happy trading.
Hello. I just want to know value of rsi. Can i do this by using this?
here is an implementation in Python that is equivalent to the current one in TradingView. Happy trading.
I implemented your implemenation with data from yahoo finance. The vast majority of them work, But I found that they differ on AAPL, MSFT and WMT. Do you know why this is?
@lukaszbinden many thanks chief
pine_sma(x, y) =>
sum = 0.0
for i = 0 to y - 1
sum := sum + x[i] / y
sum
pine_rma(src, length) =>
alpha = 1/length
sum = 0.0
sum := na(sum[1]) ?
pine_sma(src, length) :
alpha * src + (1 - alpha) * nz(sum[1])
sum
pine_rsi(x, y) =>
u = math.max(x - x[1], 0) // upward ta.change
d = math.max(x[1] - x, 0) // downward ta.change
rs = pine_rma(u, y) / pine_rma(d, y)
res = 100 - 100 / (1 + rs)
res
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`` interval = mt5.TIMEFRAME_M30
time = utc_from
bars = 1000
rates = mt5.copy_rates_from(currency, interval, time, bars)
rates_frame = pd.DataFrame(rates)
rates_frame['close_time'] = rates['time']
rates_frame['time'] = pd.to_datetime(rates_frame['time'], unit='s')
df = rates_frame
Hi I'm new to python and im trying to create a trading bot. I've been using TA-lib for the RSI indicator but its quite off from tradingview. Above is my code where i pass in dataframe.
So my question is how do i use dataframe with finta?