Rationale & Motivation
The share of trading volume executed by algorithmic and AI-driven systems is expected to grow significantly as technological capabilities continue to advance. Algorithmic trading is a rapidly expanding market, and when robust and sustainable strategies are developed, algorithmic systems have the potential to outperform human traders.
Many traditional Web2 financial institutions already manage portfolios primarily through algorithmic systems. This presents a clear opportunity for Web3 protocols to adopt similar approaches. Trading is a global and highly competitive market, and marketplaces, asset managers, and strategists are likely to achieve higher profitability by investing in algorithmic trading capabilities.
What Is Technotrading & rethink.finance and the Impact on gTrade
Technotrading is a Web3 company specialized in executing algorithmic trading strategies on gTrade. The company owns the intellectual property for an adapter capable of executing a large number of trades and handling high trading volumes in an automated manner.
Technotrading is integrated with rethink.finance, a protocol that secures and powers trading vaults and enables capital pooling. Through this integration, Technotrading has already operated an algorithmic trading vault on gTrade via rethink.finance.
Together, these two protocols provide a unique value proposition for gTrade. Technotrading is able to execute algorithmic trading strategies on pooled capital managed through rethink.finance. On other vault providers, such as Enzyme, successful yield strategies have historically attracted vault sizes in the double-digit millions.
The linked Excel file contains a volume simulation illustrating the potential trading volume that could be generated on gTrade through algorithmically managed vaults.
The parameters are defined as follows:
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Number of algo trading vaults sourced through competition refers to the number of successful strategies expected to be identified.
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Average leverage refers to the leverage utilized by the vaults.
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Average trading vault size refers to the amount of capital pooled into each vault immediately after launch.
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Average monthly vault growth refers to the expected monthly increase in vault size through joint business development efforts.
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Average number of trades per vault refers to the expected number of trades each strategy executes per day.
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Average vault growth per month refers to the expected monthly PnL generated by the algorithms.
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Fees refer to the applicable trading and protocol fees.
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Opening and closing factor refers to the combined opening and closing trading volume.
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Average days per month is used to extrapolate volume on a monthly basis.
Note: The infrastructure supports more than 1,000 trades per day, assuming strategies perform as intended. The scalability potential and corresponding impact on gTrade are therefore substantial.
In summary, the logic behind the proposal is to:
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Identify profitable algorithmic trading strategies through a competition
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Establish vaults to pool capital into these strategies
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Scale vault participation and, consequently, increase trading volume on gTrade
Algorithmic Trading Competition
Technotrading’s primary challenge at present is identifying profitable trading strategies, largely due to funding constraints. To address this, the proposal is to jointly host an algorithmic trading competition with gTrade, thereby expanding Technotrading’s strategy pipeline while increasing long-term trading volume on gTrade.
The objective of the competition is to incentivize data scientists, traders, and algorithmic traders to collaborate with Technotrading and gTrade in researching and developing algorithmic trading strategies. The total reward pool will be 100k. Technotrading, in collaboration with gTrade, will curate 3–5 teams from their respective developer communities on Meetup (PyMunich and AI Munich). Each selected team will receive 5k to cover data access, GPU usage, and other essential research resources.
Once teams are selected, a three-month strategy development phase will begin, during which participants will research and build algorithmic trading strategies. This will be followed by a joint launch and a three-month live strategy assessment phase, during which all strategies will be battle-tested in a real trading environment.
Profitable strategies will then be deployed as trading vaults on rethink.finance, allowing the gTrade community to allocate capital to the most successful strategies.
Post-Competition Plans & Benefits for gTrade
The primary objective of the competition is to drive sustained long-term trading volume on gTrade and to onboard new users through rethink.finance vaults. Technotrading guarantees lifetime exclusivity of the strategies sourced through the competition for gTrade, provided that key conditions—such as fees and trade execution—remain mutually beneficial for all parties.
Beyond long-term volume growth, gTrade also benefits from increased marketing exposure and brand positioning as a protocol actively investing in algorithmic trading innovation.
In addition, the competition reward funds will be locked into the vaults for a period of one year, ensuring that the allocated budget remains active and generates trading volume within the ecosystem.
Community Approach and Marketing Plan
The two founders of Technotrading, Johannes Sommer and Anton Caceres, manage large-scale developer communities on Meetup. One community focuses on Python, the primary programming language used in data science and quantitative research, while the other is centered on artificial intelligence. Combined, these communities reach approximately 8,000 developers and experts across Germany.
In addition, a targeted marketing campaign will be conducted across various Discord communities of paid trading signal providers available on TradingView. This outreach aims to attract algorithmic traders who build strategies based on these indicators. Targeted providers include LuxAlgo, IA, and ggshot.
Ask
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100k in reward funding for the trading competition
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5k in data and research funding per team
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Start date: April 1, 2026
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Trading start date: July 1, 2026
Goal: Increase long-term trading volume on gTrade by 2×