VolumeFi AMA Technical Indicators That Drive Bot Optimization

Volume Finance discusses Technical Indicators in this week’s Volume AMA. Taariq Lewis @LewisTaariq, CEO of VolumeFi (


) is joined by VolumeFi’s Senior DeFi Strategist, Zhibai Zhang @fieldtheory, AMA guest Niko @___niko. The group discusses recent additions to the VolumeFi repo featuring technical indicators.

The host, Taariq Lewis, welcomes everyone on the show and mentions

’s GitHub repo, where their Trading Bots can be found. It’s a free, open-source GitHub that anyone can use. Taariq then gives a background about


Taariq proceeds to the main topic of the AMA, which is all about technical indicators. Zhibai states that on a high level, technical indicators are calculations that one can do based on the present volume data of an asset. The historic data is loaded into a data type and then the moving average and Bollinger Bands indicators are run. All these statistics are based on methods to find, computationally, what is looking either normal or abnormal. And from there create a kind of a view of the market and say this is how the market will move. The host says that technical indicators must be so popular in traditional equities, markets, and fixed income that they must have been used for quite a long time. Zhibai confirms that people have been using them for hundreds of years. Taariq says that it’s very well documented that anyone can use Google and find one. He then asks Zhibai to discuss Momentum Trading as he indicates that a lot of time was spent working on technical indicators for Momentum Trading:

Momentum catches the price changes that one may hope will continue. Taariq then shares that he chanced upon MACD after Googling Momentum Trading Indicators. Zhibai proceeds to discuss MACD:

Taariq then moves on with RSI. Zhibai says that it’s another form of computing two different kinds of meals on the market. A rather short-term versus long-term RSI is gained versus losses. He further elaborates:

Moving on, Zhibai proceeds with the Stochastic Oscillator. He says that it’s like a pendulum that goes up and down. It’s a probability theory-based term to describe mean reversion behavior. For example, when one looks at a coin and sees that its price moves and sometimes, it doesn’t and rather goes consistently in just one direction. The Stochastic Oscillator can think of it as a way to measure how dislocated the price of a token is from an oscillator.

Taariq mentions that most of these indicators are already programmed into the repo. Zhibai says that the momentum indicator can be used as returns in the form of returns and there are also multiple returns to use both intraday and longer term. RSI and MACD are already there and Bollinger Band will be added very quickly. Fieltheory explains how the repo will work:

Taariq gives it a try and a bunch of numbers come out. Zhibai says that the left column of the table shows the name of the tokens, the other columns, 24 H is a 24-hour return, and 12 H is a 12-hour return, 7 is a 7-day return. He says that the numbers are really just how much the price has gone in the past. Taariq notices that the Momentum Scanner also captures meme tokens. Zhibai says that the Momentum Scanner really solely focuses on momentum. Those tokens are there because they have had very strong momentum in the past 12 hours. Taariq says that the Momentum Scanner sort of captures whatever is moving and whatever those reasons are. If it’s a meme coin, if it’s an NFT-related marketplace, it seems that the Momentum Scanner, CoinGecko API covers everything. Zhibai says that unfortunately, to check intraday momentum, it should be done coin by coin so that the number of queries adds up. The queries depend on how many tokens pass the original filtering where volume and liquidity are filtered.

The repo is free to use and it supports all access that CoinGecko supports, which is at about 500. Zhibai then discusses enter at and stop loss at:

Taariq says that the coolest thing about their Trading Bot repo is that users can get a way to filter out and find momentum tokens across 500 exchanges. Users can use this GitHub repo, get a CoinGecko API key, and test and see what momentum opportunities there are. He also reminds listeners that they are not giving trading advice. They’re just sharing a free piece of software that anybody could use. Taariq also adds that there’s always a high possibility of losses, especially if stop-loss or collect profits are not managed properly. With that, he says that more changes will be done in the repo to which Zhibai agrees, and that more indicators will be added.

Taariq wraps up the show and thanks Zhibai. He also thanks Niko who joined the AMA and jokingly says that they will continue to look for $NIKO Coin. He also thanks the Paloma community and people who are part of Volume.

With that, he encourages everyone to try the repo, explore it, and abuse the VolumeFi Trading Tools.

Stay tuned for next week’s AMA!

To find out more about Volume, check out Volume. finance (


), join the Discord (

), and follow us on Twitter (@volumefi).

Check out Paloma Chain on




), follow them on Twitter (@palomachain), and join the flock on discord (

). Coo!