To begin, there are other token snipers out there, but the code is not open source and they do not clearly state that they will send a portion of total profits back to themselves as part of the "free service", which is neither free, nor is it "Free as in Beer". It is not FOSS, and therefore I must toss, so to speak.
To expound on the details of what I require:
-Web 3.0 hooks/API usage.
- Security - I do***NOT*** want to have my Metamask passwords and private key stored within the program unencrypted or in plain text - should the program require such, as other programs out there claim to require in order to function. Do not encode it in Base 64 or anything that any doofus out there could "decode".
- Web Scraping - I need quick, snappy, buy orders on newly listed tokens with sufficient liquidity.
- Not headless, I need it to show stats of what's being bought and sold
- Python skills a must!
***You must be able to do the following two points, or we can aim to sell the tokens, after being bought by the bot, at low profit margins and increase buying speed as much as possible. Keeping transaction fees in mind!***
- Knowledge of Sell Indicators derived from past market data across other tokens and coins
- Sentiment Analysis using web scraping of Twitter and daily moving averages.
I will be running this on a very low-spec system. It's a portable PC that plugs in with 5V DC 2000 milliamp USB and outputs 1080P video. 4GB of RAM, slow processor: Z8350. It is a Terryza WD Pro, Model: T5
This low-spec system will run Linux, probably Debian, so please keep that in mind should you choose to take this on.
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i need an expert to help join 3 model i have in ninjatrader into one, kindly message me and i will be expecting from you and i need this work done in maximum of 4 days, so i need expert that can get it done
//+------------------------------------------------------------------+ //| XAUUSD Ultimate Institutional EA | //| Features: | //| - True swing-based market structure | //| - BOS sniper entries on M5 | //| - Liquidity sweep filter | //| - Partial TP + breakeven | //| - Visual BOS, swings, liquidity
Position Size = (Account Risk %) / (Stop Loss %) Example: $1000 account, 1% risk = $10 If SL = 0.75%, position = $10 / 0.0075 = $1333 moving average
// Add this to your EA after ExportState() function void SendToBase44(const string state, const string dir, double entry, double sl, double tp) { string url = " https://preview-sandbox--ee0a32a725b788974de435e8cef40b7a.base44.app/api/functions/receiveEAState "; string headers = "Content-Type: application/json\r\n"; string json = "{" "\"symbol\":\""+_Symbol+"\","
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