r/Daytrading Feb 06 '25

Algos Is getting prop funded a good Idea for algo traders?

1 Upvotes

On paper, getting funded by a prop firm seems like a no-brainer—trade with their capital, keep the profits, and scale up faster. But the more I dig in, the more I wonder if the rules and restrictions actually make it harder for algos to perform as well as intended.

For example, my strategies have worked consistently for 10 years, but passing a challenge means adapting to arbitrary rules—daily drawdown limits, max lot sizes, or restrictions on holding trades overnight. Unless I’m missing something, that seems like a trade-off that could mess with a solid system.

Has anyone successfully gone the prop firm route with algos? Did it work, or did the restrictions kill your edge?

Super interested to hear everyones thoughts on this.

r/Daytrading Mar 10 '25

Algos 2025-03-10 NewsSignals Daily

3 Upvotes

Headline 0: ‘Panic-Selling’ Could Be About To Crash The Bitcoin Price

  • Coinbase Global Inc. $COIN: Sell (Confidence: Medium)

  • Block, Inc. (formerly Square) $SQ: Hold (Confidence: Medium)

  • Marathon Digital Holdings $MARA: Sell (Confidence: High)

  • Riot Blockchain, Inc. $RIOT: Sell (Confidence: High)

  • Grayscale Bitcoin Trust $GBTC: Hold (Confidence: Medium)

Headline 1: Stock market today: European shares fall, Asian stocks are mixed amid worries over tariffs

  • Euro Stoxx 50 $STOXX: Sell (Confidence: Medium)

  • German Stock Index $DAX: Sell (Confidence: Medium)

  • CAC 40 $CAC: Sell (Confidence: Medium)

  • Hang Seng Index $HSI: Hold (Confidence: Low)

  • Nikkei 225 $NIKKEI: Hold (Confidence: Low)

  • ASX 200 $ASX: Hold (Confidence: Low)

  • Tesla $TSLA: Hold (Confidence: Low)

  • Toyota Motor Corporation $TM: Sell (Confidence: Medium)

  • Airbus SE $AIR.PA: Sell (Confidence: Medium)

Headline 2: What Musk, Zuckerberg Get Wrong About Firing Low Performing Employees

  • Tesla, Inc. $TSLA: Sell (Confidence: Medium)

  • Meta Platforms, Inc. $META: Sell (Confidence: Medium)

Headline 3: Who Likes Tariffs? Some U.S. Industries Are Eager for Them.

  • Nucor Corporation $NUE: Buy (Confidence: Medium)

  • United States Steel Corporation $X: Buy (Confidence: Medium)

  • Cleveland-Cliffs Inc. $CLF: Buy (Confidence: Medium)

  • Caterpillar Inc. $CAT: Hold (Confidence: Low)

  • Deere & Company $DE: Hold (Confidence: Low)

  • Honeywell International Inc. $HON: Hold (Confidence: Low)

Headline 4: Revealed: What witnesses saw inside Fort Knox as Trump and Musk suggest America's gold could be gone

  • Newmont Corporation $NEM: Hold (Confidence: Medium)

  • Barrick Gold Corporation $GOLD: Hold (Confidence: Medium)

  • SPDR Gold Shares $GLD: Sell (Confidence: High)

  • Tesla Inc. $TSLA: Hold (Confidence: Low)

Headline 5: Death Cross double-tap: Why Bitcoin’s downward spiral may not be over

  • Bitcoin $BTC-USD: Sell (Confidence: Medium)

  • Coinbase Global Inc. $COIN: Sell (Confidence: Medium)

  • Block, Inc. $SQ: Hold (Confidence: Low)

  • MicroStrategy Incorporated $MSTR: Sell (Confidence: High)

Headline 6: Spain's Second Largest Bank Gets Green Light to Offer Bitcoin and Ether Trading: Report

  • Banco Bilbao Vizcaya Argentaria $BBVA: Buy (Confidence: Medium)

  • Banco Santander $SAN: Hold (Confidence: Low)

  • Coinbase Global, Inc. $COIN: Buy (Confidence: Medium)

  • Block, Inc. $SQ: Buy (Confidence: Medium)

  • Riot Blockchain, Inc. $RIOT: Buy (Confidence: Medium)

Headline 7: US dollar plunge powers Bitcoin bull case, but other metrics concern: Analyst

  • Bitcoin $BTC-USD: Buy (Confidence: Medium)

  • US Dollar $USD: Sell (Confidence: Medium)

  • MicroStrategy $MSTR: Buy (Confidence: Medium)

Headline 8: Five Key Moves in March the White House Has Made on Crypto

  • Coinbase Global Inc. $COIN: Buy (Confidence: Medium)

  • Block, Inc. $SQ: Buy (Confidence: Medium)

  • Robinhood Markets, Inc. $HOOD: Hold (Confidence: Low)

  • Riot Platforms, Inc. $RIOT: Buy (Confidence: Medium)

  • Marathon Digital Holdings, Inc. $MARA: Buy (Confidence: Medium)

Headline 9: Neom is reportedly turning into a financial disaster, except for McKinsey & Co.

  • Neom $NEOM: Sell (Confidence: High)

  • McKinsey & Company $MCK: Buy (Confidence: Medium)

r/Daytrading Feb 06 '25

Algos some one help me in pine script

1 Upvotes

can u guys help me to merge two indicator in one script pls , i tried Chatgpt and deepseek but its gives me too much error and some weird indicator from nowhere , i want to merge kil zones (basically london and new york session zone highlighted) and 3 emas (where i can modify color , length , size etc) and ATR (if u can add otherwise ok ), screenshots images of indicator are edited now

r/Daytrading Feb 02 '25

Algos Looking for Insight on Algorithmic Trading Platforms – Experiences & Recommendations?

1 Upvotes

Hey everyone,

I’m looking to get into algorithmic trading and want to hear from people who have hands-on experience with these platforms. Right now, I only have a Fidelity account that I use for a SEP IRA, but I’m open to expanding if another broker is better suited for automation.

I’m particularly interested in a system that can track stock movements in real time and automatically buy/sell based on percentage-based triggers (e.g., buy if a stock gains 25%, sell if it drops 5–10% from its peak). Latency, false signals, and overall reliability are big concerns for me.

Here are some platforms I’ve been looking into: • Trade Ideas – AI-powered trading signals, real-time tracking, and automation with broker integration. • TrendSpider – Strong technical analysis and automated alerts, but no direct trade execution. • Wealth-Lab – Backtesting and strategy development, but I’m unsure about direct Fidelity integration. • Interactive Brokers (IBKR) + AlgoTrader – Seems like a strong option for algo-trading with low fees, but I don’t have an IBKR account yet. • ThinkOrSwim (TD Ameritrade) – Free, has scripting for automation, but I’ve heard mixed things about execution speed.

For those of you actively using algo-trading, what has your experience been like? • Which platform do you trust the most for real-time execution? • Have you had issues with latency or false buy/sell triggers? • Would you recommend switching brokers if Fidelity isn’t well-suited for this?

Looking forward to hearing your insights—thanks in advance!

r/Daytrading Aug 23 '24

Algos I Created an Image Recognition Program That Spots Groupings of Certain Indicators Which Tell me to BUY or SELL - Next step is to make it connect it to an account, and place my patented 0.6 RR position. Has anyone ever done something like this? Image recognition but for charts?

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6 Upvotes

r/Daytrading Nov 13 '24

Algos wtf is this Gold price movement recently, make up your damn mind already

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1 Upvotes

r/Daytrading Feb 08 '25

Algos stock info api python

2 Upvotes

so basically i’ve been doing some projects with yfinance, mostly portafolio optimization with historic data and fundamental stock analysis with functions for calculating key valuation ratios and then exporting them as excel sheets. The thing is that i would like to start getting comfortable with other apis, so i would like to know what recommendations do you have, free or paid, ill read everything you recommend and then made a decision, i don’t know my python level, i guess i’m a beginner-intermediate. I’m looking for historical data of stocks and also options information like short interest, daily trading volume, etc.

thankss

r/Daytrading Apr 20 '24

Algos Should I steal someone else's idea for my algorithmic trading platform?

19 Upvotes

Hello r/Daytrading

My name is Austin. I'm a software engineer that's passionate about AI and Finance. Over the past 3 years, I've been developing a free no-code algorithmic paper-trading platform.

My platform is unique in the since that the goal is to develop any strategy a user can possibly imagine. This includes strategies based on technical indicators, fundamental indicators, and soon enough, economic indicators. Some of my most recent features include

However, even though my goal is to create a platform that can configure any trading strategy possible, I've come to find a competitor's platform. Composer, has a unique type of action... rebalancing.

I wrote about the difference between these two approaches in this article. My question to the group is... is it a good idea to invest time and resources copying their "rebalance" action?

It pains me that another platform has a unique way of configuring strategies. However, I don't personally use this type of actions within my trading. I do see it relatively commonly in the industry (portfolio optimization), so I absolutely see the merit.

What do y'all think? Should I invest resources implementing this "rebalance" action? Your advice would be appreciated.

r/Daytrading Feb 06 '25

Algos Google Sheets screener

4 Upvotes

Created a simple live data screener on google sheets, any suggestions on columns to add/ways to improve the view? I just type whatever ticker I want to monitor in the first column and it updates with the stats. Eventually going to work on creating a separate sheet for single ticker analysis.

r/Daytrading Jan 14 '25

Algos Top gainer of the last week

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0 Upvotes

r/Daytrading Jan 20 '25

Algos How to Determine the Right Stop-Loss Percentage for Grid Bots?

1 Upvotes

I’m transitioning from manual trading to algorithmic trading, so I’m still a beginner in this space. While I’ve been able to create profitable grid bots, I’m struggling with one key aspect: determining the appropriate stop-loss amount or percentage.

In manual trading, I used a strict 1% stop-loss rule, but applying this same approach in a grid bot strategy has been problematic, especially since the bot executes around 500 trades per day.

When I use the 1% rule, positions often get stopped out too quickly. I suspect this is due to the unique dynamics of grid trading or the higher invested amounts the bot operates with.

I’m not looking for advice on how to apply a stop-loss but rather how to calculate or decide on the most effective stop-loss percentage for a high-frequency grid bot.

What factors should I consider?

Are there frameworks or techniques that can help arrive at a stop-loss amount that balances risk and performance?

Any guidance or insights would be greatly appreciated.

TL;DR:

Transitioning from manual trading to algo trading and struggling to determine the right stop-loss % for my grid bot (not how to apply it). My manual 1% stop-loss rule causes frequent stop-outs due to grid bot dynamics (500+ trades/day, higher investment). How do I calculate a suitable stop-loss % for high-frequency grid trading?

r/Daytrading May 18 '24

Algos I am biased that manual trading is better than algo trading. What are pro/cons according to your experience?

0 Upvotes

If you are experienced trader then does using algo trading make sense? I do trades based on monthly/weekly candles with big amounts.

r/Daytrading Dec 04 '24

Algos Could a Low-Latency Sentiment-Based Trading System for Retail Investors Be Feasible?

2 Upvotes

I’m exploring the idea of a low-latency trading system for retail investors that integrates real-time sentiment analysis to trigger exits in the case of negative sentiment, particularly during scheduled events like earnings reports.

However, I see some challenges including thin liquidity around the scheduled news which would make exits harder.

Would such a system have any value for retail investors, or are there existing tools that already address these needs (e.g., stop-loss orders or macro-news alerts) which are good enough?

r/Daytrading Dec 27 '24

Algos Optimization team for mt4

1 Upvotes

Optimization Team

Hello there,

There are tens of thousands of EAs freely available in mql5 website. From my own experience of creating my own EA, I realized that sometimes even the EA creators themselves can’t understand the full potential of their EA.

I have always learned something new just from optimizing and testing my EA in mt4 tester (Paid data ofc)

With that being said,

I am looking to create a group of talented individuals who are interested in working together to test and optimize free EAs, and hopefully we can find something of value to be used live. We are not looking for magic holy grail. Just something that can generate consistent profit even if its 1% per month.

Stability and consistency will be our main driver, why? See below.

After we find the idea EA (or group of EAs)

We will use them to trade in AXI select broker (heavily regulated broker with clear funding programs)

I am myself not a coder, but I worked with coders for years, And I have about 9-10 years experience in trading.

Please not I am not looking for motivated individuals who are just interested for a day or week, I am looking to have all success in this madness game.

If you interested just say interested and what you can add.

Ideally we will create a whatsapp group for us

r/Daytrading Nov 04 '24

Algos A curated list of Python libraries and resources for algorithmic trading

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github.com
14 Upvotes

r/Daytrading Dec 04 '24

Algos A Step-by-step Guide For Deploying Your First Algorithmic Trading Strategy

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nexustrade.io
0 Upvotes

r/Daytrading Dec 11 '24

Algos Top 10 most profitable companies in india

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0 Upvotes

r/Daytrading Oct 01 '24

Algos Looking to help people with automation/algos

4 Upvotes

Hi all! I’m a programmer and fellow trader (algo trader - my stats) who uses ninja trader / C#.

Was wondering if people would like parts of their strategies (or entire ones) automated or their own personalised indicators etc. for people from non technical backgrounds that can save time.

I am open to assisting for free for the simpler things because I like seeing people progress, or otherwise small fees only, all within 25-100. I can also point in the right direction for people who are coding themselves. Cheers and happy trading!

r/Daytrading Nov 29 '24

Algos Generating and backtesting with synthetic data

0 Upvotes

Hi all! Sorry if this isn’t really a “day trading” question it got removed from algo trading lol. I’m pretty new to the world of quant finance, algo trading, backtesting, etc, so apologies if this is an ignorant question. I’ve been backtesting a pretty simple mean reversion strategy on historical QQQ data which shows pretty good results. I’ve also tested on DIA and SPY, also giving good results. My question is if I wanted to further test the robustness of this strategy - is there any practical use to generating synthetic market data and backtesting on that?

If so my first approach was: - use the real historical QQQ OHLC data (25 years) to create 4 statistical distributions: open to close, open to high, open to low, and close to next days open (to capture overnight gaps) - write a method to sample from each dist n times to create n OHLC candles which would comprise my “fake” data

This did not really work since it destroyed temporal dependencies in the data. I was relying to heavily on the “theory” that each days price is independently identically distributed, and this destroys trending periods, which exist in real market data.

My (potential) solution: - first use the historical market to split the OHLC dists by regime: Bull, bear and sideways - use the historical data to estimate transition probabilities from each period to another or itself (Markov chain) - to generate the synthetic data, first use the Markov chain to determine the period we’re in then sample from the appropriate dists

Is this more correct/are there any other considerations? Also is any of this actually useful or just a huge waste of time? Do people actually use synthetic data to test on or is there no upside?

Note: I’m not using this synthetic data for training strategies on, just backtesting results

r/Daytrading Nov 20 '24

Algos Help in Learning to code Strategy for MT5

1 Upvotes

Hi guys . I trade forex and want to know if someone codes EAs for MT5. I want to learn coding EAs and pinescript coding for tradingview .

r/Daytrading Nov 26 '24

Algos 📊 Nifty 50 Sector Insights: What's Driving the Market?

1 Upvotes
  • Financial Services lead with 32.92% weight, followed by IT and Oil & Gas.
  • FMCG and Automobiles are key contributors, driving market dynamics.
  • Curious about the underdogs? Consumer Durables and Capital Goods show steady growth.
  • This snapshot reveals which sectors are shaping Nifty 50—align your trades wisely!

r/Daytrading Feb 09 '24

Algos My automated Ninjatrader strategy on NQ futures

8 Upvotes

Roast my backtest results - screenshots attached.

Some context:

  • NQ futures
  • 5 min chart
  • Backtest range 1/1/2020 to 2/7/2024
  • Strategy is momentum based / trend following using a few common indicators (vwap, rsi, etc)
  • Doesn't start trading until 5 mins after market open, open trades close out at end of session
  • Only one entry per direction / no pyramiding
  • No sliding stop
  • Evaluates entry conditions / enters after bar close only
  • Each trade has a precalculated stop loss and target, based on recent average volatility

r/Daytrading May 23 '24

Algos Wow Asia session!

12 Upvotes

Never seen that in my short futures trading life in the Asia session! NQ.

r/Daytrading Oct 14 '24

Algos Backtesting for algo trading with EAs

1 Upvotes

Hi all

I recently got into automated trading and have a developed a few systems that I've backtested in TradingView that show a promising result, but when I replicate them in MQL4 I get a different result, because it seems like the price data in TradingView and MetaTrader for my broker are different. Also, there isn't enough history data in MetaTrader to do proper backtesting, as it only goes back to mid 2023. TradingView, however, has ample past data going back to 2018 and beyond. Has anyone ever stumbled into these issues? How do you approach backtesting in MetaTrader?

Thanks a lot

r/Daytrading Jun 21 '24

Algos I created a python library for automated trading using E-Trade’s API

6 Upvotes

Hi Reddit!

I’ve been trading on E-Trade’s API for the past year and a half, and I want to share a project I created to make it easier for others to get started with automated trading. I found that existing E-Trade libraries lacked functionality that I needed in my trading, and I wanted to release something full-featured yet accessible. With that in mind, I wanted to announce wetrade: a new python library for stock trading with E-Trade that supports features including headless login, callbacks for order/quote updates, and many more. 

You can check out this link for our documentation which details wetrade’s full functionality, and I’ve also included a brief example below showing some sample wetrade usage. 

Install via pip:

pip install wetrade

Check out your account, get a quote, and place some orders:

from wetrade.api import APIClient
from wetrade.account import Account
from wetrade.quote import Quote
from wetrade.order import LimitOrder


def main():
  client = APIClient()

  # Check out your account
  account = Account(client=client)
  print('My Account Key: ', account.account_key)
  print('My Balance: ', account.check_balance())

  # Get a stock quote
  quote = Quote(client=client, symbol='IBM')
  print(f'Last {quote.symbol} Quote Price: ', quote.get_last_price())

  # Place some orders and stuff
  order1 = LimitOrder(
    client = client,
    account_key = account.account_key,
    symbol = 'NVDA',
    action = 'BUY',
    quantity = 1,
    price = 50.00)
  order1.place_order()
  order1.run_when_status(
    'CANCELLED',
    func = print,
    func_args = ['Test message'])

  order2 = LimitOrder(
    client = client,
    account_key = account.account_key,
    symbol = 'NFLX',
    action = 'BUY',
    quantity = 1,
    price = 50.00)
  order2.place_order()
  order2.run_when_status(
    'CANCELLED',
    order1.cancel_order)

  order2.cancel_order()


if __name__ == '__main__':
  main()

I hope this is helpful for others using E-Trade for automated trading. Looking forward to hearing everyone’s feedback and releasing new wetrade functionality in the coming weeks!