Bitcoin developers and researchers proposed BIP-361, a mechanism to freeze quantum-vulnerable coins as a private incentive for users to upgrade their security posture. The proposal, published Wednesday, aims to address the long-term threat posed by quantum computing to legacy Bitcoin addresses that lack quantum resistance.

According to the proposal authors, freezing lost or abandoned quantum-vulnerable coins would effectively increase the relative value of all other coins in circulation by reducing the total active supply. The mechanism is designed to encourage voluntary migration to quantum-resistant address formats before quantum computing capabilities advance to a point where they pose an active threat to the Bitcoin network.

Sources: Cointelegraph

This article was generated automatically by The Defiant’s AI news system from publicly available sources.

More than 420 million people now hold cryptocurrency worldwide — yet the overwhelming majority still trade manually, emotionally, and inconsistently. The result is predictable: they buy tops, sell bottoms, and hand their edge to the market every single cycle.

The best trading bot for crypto doesn’t just automate button-clicks. Done right, it applies a disciplined, rules-based (or AI-driven) strategy around the clock, without fear, fatigue, or FOMO. But “done right” is the hard part. The market is flooded with bots that are expensive to configure, opaque about performance, and quick to blow up accounts when volatility spikes.

This guide cuts through the noise. We’ll explain exactly how crypto trading bots work, break down the major strategy types, review the top platforms available in 2026, and give you a practical framework for choosing — and safely running — your first automated strategy. Whether you’re a complete beginner, an intermediate trader ready to step up from manual execution, or someone burned by Telegram signal groups, this guide is for you.

Disclaimer: Crypto trading carries significant risk. Past performance of any bot or strategy does not guarantee future results. Always use risk management controls and only allocate capital you can afford to lose.

Table of Contents

1. How Crypto Trading Bots Actually Work
2. Bot Strategy Types Explained
3. AI-Powered vs. Rule-Based Bots: What’s the Real Difference?
4. The Best Crypto Trading Bots in 2026 (Reviewed)
5. Head-to-Head Comparison: Strategy Type, AI, Pricing, and Best For
6. How to Choose the Right Bot for Your Goals
7. How to Set Up Your First Crypto Bot Safely (Step-by-Step)
8. What Can Go Wrong — and How to Protect Yourself
9. Performance Metrics That Actually Matter
10. Crypto Trading Strategies: A Plain-Language Primer
11. Frequently Asked Questions

How Crypto Trading Bots Actually Work

A crypto trading bot is software that connects to an exchange via API and executes buy and sell orders automatically based on a pre-defined set of rules or an AI model’s output. There is no magic. The bot is only as good as the strategy it runs.

Here is the basic loop:

1. Data ingestion — The bot continuously reads market data: price, volume, order book depth, and (in AI-powered systems) on-chain signals, sentiment feeds, or macroeconomic indicators.

2. Signal generation — A rule fires (“price crossed the 20-period moving average”) or an AI model produces a probability output (“65% probability of upward move in next 4 hours”).

3. Order execution — The bot sends a buy or sell instruction to the exchange. Speed matters: institutional-grade systems execute in milliseconds.

4. Position management — Stop-loss, take-profit, trailing orders, and position sizing rules activate automatically.

5. Logging and reporting — Every trade is recorded for performance analysis.

In practice, what this looks like is a bot running at 3 AM on a Tuesday when Bitcoin drops 8% in 20 minutes. A well-configured bot executes its stop-loss without hesitation. A human trader — asleep, or panicking — does not.

The critical limitation: bots optimise around historical patterns. When the market enters a regime it has never seen before — a black swan, a regulatory shock, a coordinated whale manipulation event — the bot has no special foresight. Human oversight remains essential.

Bot Strategy Types Explained

Understanding the strategy a bot runs is more important than the brand name on the platform. Here are the five major approaches:

Dollar-Cost Averaging (DCA) Bots

DCA bots buy a fixed dollar amount of an asset at regular intervals, regardless of price. This reduces the impact of volatility on entry price and suits long-term holders who believe in an asset’s trajectory.

Best for: Passive investors, beginners, long-term BTC/ETH accumulation. Risk profile: Low to medium. DCA doesn’t prevent capital loss in a prolonged bear market; it only smooths entry points.

Grid Trading Bots

Grid bots place a ladder of buy and sell orders at preset intervals above and below a price. They profit from price oscillation within a range, collecting small margins on each grid level filled.

Best for: Sideways or range-bound markets. Grid bots struggle in strong trending conditions — a market that breaks out of the grid range can cause significant losses. Risk profile: Medium. Grid width, number of levels, and total capital allocation are the key risk variables.

Momentum / Trend-Following Bots

These bots identify directional trends using indicators (RSI, MACD, moving averages, Bollinger Bands) and ride the move. They enter on breakouts and exit when momentum stalls.

Best for: Trending markets (bull runs, post-news breakouts). Risk profile: Medium to high. Momentum strategies suffer in choppy or whipsawing conditions.

Arbitrage Bots

Arbitrage bots exploit price discrepancies between exchanges or between spot and futures markets. They buy where the asset is cheaper and simultaneously sell where it is more expensive.

Best for: Institutional traders with low latency infrastructure. Retail arbitrage margins have compressed significantly as competition has intensified. Risk profile: Low per-trade risk, but execution speed and API reliability are critical.

Quantitative (Quant) Strategy Bots

Quant strategies use statistical models, factor-based analysis, or machine learning to identify repeatable edges in market data. This is the approach used by hedge funds and institutional trading desks — and increasingly, by platforms like SaintQuant, which deploys 18+ live quantitative strategies across crypto markets.

Unlike simple indicator-based rules, quant models analyse multiple data dimensions simultaneously, adapt to changing volatility regimes, and apply rigorous risk controls (position limits, drawdown thresholds, correlation management). SaintQuant makes this institutional-grade approach accessible to everyday traders through its managed strategy tiers — no coding, no configuration required.

Best for: Traders seeking consistent, risk-adjusted returns without having to build or manage strategies themselves. Risk profile: Varies by tier. Plans range from Low (Starter/Basic DCA) to High (Institutional Pro, Hedge Fund, Quant Fund Apex scalping strategies).

AI-Powered vs. Rule-Based Bots: What’s the Real Difference?

The term “AI” is used loosely in crypto bot marketing. Here is an honest breakdown:

The honest answer: Most consumer-facing “AI bots” use relatively simple machine learning (signal classification, basic NLP sentiment) rather than sophisticated deep learning. True AI-driven quant systems require large proprietary datasets, continuous model retraining, and institutional-grade infrastructure. Platforms like SaintQuant operate at this level, deploying models that analyse order flow, volatility regimes, and cross-asset signals simultaneously.

The Best Trading Bot for Crypto in 2026 (Reviewed)

SaintQuant — Best AI-Powered Crypto Trading Bot for Reliable, Risk-Adjusted Returns

Best for: Passive income seekers, complete beginners, and disillusioned signal followers who want professional-grade automation without building strategies from scratch.

What makes it different: SaintQuant is not a bot-builder. It is a fully managed, AI-powered quantitative trading platform. Rather than asking you to configure indicators or pick a grid range, SaintQuant gives you access to a tiered suite of pre-built strategies — each combining machine learning, deep learning, and proven quantitative models — and handles all execution automatically.

The model is simple: sign up, choose a plan that matches your risk profile and capital size, deposit funds, and the platform runs 24/7 across major crypto exchanges on your behalf. At the end of each contract period, your original capital plus earned profit is returned to your account.

In practice, what this looks like: A user signs up in under three minutes, selects a strategy tier (ranging from the $99 free Starter trial to institutional tiers for larger capital), and lets SaintQuant’s AI handle the rest — no indicator-tuning, no grid-width decisions, no overnight monitoring required.

Strategy Tiers (as of April 2026):

Target ROI figures are based on historical performance. All trading carries risk; past results do not guarantee future returns.

Key Features:

• 10 tiered strategy plans spanning DCA, Grid, Swing, and Scalping bot types
• AI + machine learning + deep learning models that adapt to live market conditions
• Built-in risk management: position controls, drawdown limits, diversified strategy execution
• 24/7 automated trading across major cryptocurrency exchanges
• No subscription fees — a small processing fee applies at withdrawal only
• Free $99 Starter trial to evaluate performance before committing larger capital
• Mobile app available; supports 9 languages for a global user base

Pricing: Plans start at $99 (free 10-day trial). No monthly subscription. Visit saintquant.com/page/strategies for current plan details. Experience Level: Beginner to Institutional

3Commas — Best for Multi-Exchange Active Traders

Best for: Traders who want hands-on control across multiple exchanges with structured entry/exit workflows.

3Commas is one of the most established automation platforms in the market, offering DCA bots, grid bots, and its flagship SmartTrade terminal. SmartTrade lets you set complex conditional orders — take-profit, stop-loss, trailing — from a single interface connected to multiple exchanges simultaneously.

The platform also integrates with TradingView, routing external signals directly into live orders. A basic AI assistant provides configuration suggestions, though these are primarily parameter recommendations rather than autonomous strategy generation.

Key Features: SmartTrade terminal, DCA and grid bots, TradingView signal routing, AI-assisted configuration suggestions, basic backtesting. Pricing: From ~$12.42/month (annual plan). Free tier available with limitations. Supported Exchanges: Binance, Bybit, OKX, Kraken, KuCoin, and others. Experience Level: Intermediate to Advanced

Risk Note: 3Commas requires active monitoring. The platform does not manage your risk for you — stop-loss configuration and position sizing are the user’s responsibility.

Cryptohopper — Best for Strategy Marketplace and Automated Switching

Best for: Traders who want access to pre-built strategies and automated strategy rotation without coding from scratch.

Cryptohopper’s standout feature is its Algorithm Intelligence system, which scores and rotates between strategies based on current market conditions. Rather than locking into one approach, the platform attempts to switch to whichever strategy is performing best in real time — a form of meta-strategy automation.

The Strategy Marketplace allows users to subscribe to third-party strategies, which lowers the barrier to entry but also means performance is dependent on the strategy creator’s skill.

Key Features: Strategy Marketplace, Algorithm Intelligence (strategy rotation), visual Strategy Designer, copy trading, backtesting and paper trading. Pricing: Free Pioneer plan; paid plans from ~$24.16/month. Supported Exchanges: Binance, Bybit, OKX, Coinbase Advanced, Kraken, KuCoin, and others. Experience Level: Beginner to Advanced

Coinrule — Best for Beginners Who Want No-Code Automation

Best for: Complete beginners who want to learn automation without touching a line of code.

Coinrule uses an IF-THEN rule builder with drag-and-drop interface, pre-built templates, and a demo exchange so users can test strategies without risking real funds. The learning curve is genuinely low. The tradeoff is limited strategy depth — the IF-THEN framework is powerful enough for simple momentum or DCA rules, but cannot replicate the sophistication of a quantitative model.

Key Features: No-code rule builder, strategy templates, demo exchange for paper trading, AI-assisted strategy optimisation. Pricing: Free tier; paid plans from $29.99/month. Supported Exchanges: Binance, OKX, Bybit, Bitget, Coinbase Advanced, Kraken, KuCoin, and others. Experience Level: Beginner

Pionex — Best Free Built-In Bots

Best for: Beginners who want free, zero-configuration bots on a built-in exchange.

Pionex is a centralized exchange that includes 10+ built-in trading bots at no extra cost — you only pay the standard trading fee (0.05%). The bots cover grid trading, DCA, and volatility-based strategies. The recent addition of PionexGPT allows users to describe their trading idea in plain English and have the system translate it into a configured bot — a genuinely useful feature for non-technical beginners.

Note: Pionex.com is not available in the US, though Pionex.US operates in 47 states.

Key Features: 10+ free built-in bots, PionexGPT (plain-English bot configuration), demo mode, low trading fees. Pricing: Free (0.05% trading fee). Exchange: Built-in Pionex exchange. Experience Level: Beginner

Bitsgap — Best for Multi-Exchange Unified Terminal

Best for: Active traders who operate across multiple exchanges and want a single dashboard.

Bitsgap aggregates connections to 15+ exchanges into one terminal, offering grid bots, DCA bots, and the COMBO futures bot. Its AI Assistant suggests bot configurations and portfolio allocations based on current market conditions — a useful starting point for configuring parameters, though users should validate suggestions with their own backtesting.

Key Features: Unified multi-exchange terminal, AI Assistant for configuration suggestions, backtesting, demo mode, advanced grid and DCA bots. Pricing: From ~$18/month. Supported Exchanges: Binance, Bybit, OKX, Coinbase Advanced, Kraken, KuCoin, Bitget, and others. Experience Level: Intermediate

HaasOnline — Best for Developers and Advanced Customisation

Best for: Quantitative traders and developers who want full scripting control over strategy logic.

HaasOnline’s differentiator is HaasScript — a proprietary scripting language that gives advanced users complete control over execution logic, including market-making strategies, arbitrage, and custom technical indicator combinations. It is the most powerful platform on this list for users who can leverage it, and the most complex for those who cannot.

Key Features: HaasScript visual and code editor, market-making and arbitrage strategies, built-in backtesting and paper trading. Pricing: From ~$23/month. Experience Level: Advanced / Developer

TradeSanta — Best for Quick Cloud Setup with Templates

Best for: Traders who want to get a simple bot running in under 30 minutes without deep configuration.

TradeSanta is cloud-based, beginner-friendly, and template-driven. Setup is genuinely fast. The trade-off is limited customisation depth — for users who want to go beyond the templates, the platform’s ceiling is lower than 3Commas or HaasOnline. But for the target audience (quick start, low friction), TradeSanta delivers.

Key Features: Strategy templates, long and short bot options, trailing take-profit, 24/7 customer support. Pricing: From ~$18/month. Supported Exchanges: Binance, Kraken, OKX, and 6+ others. Experience Level: Beginner to Intermediate

Head-to-Head Comparison: Strategy Type, AI, Pricing, and Best For

How to Choose the Right Bot for Your Goals

Before you sign up for anything, answer these four questions honestly:

1. How much time do you want to spend managing your trading? If the answer is “as little as possible,” a fully managed platform like SaintQuant is the right fit — you deposit funds, choose a plan, and the system does everything else. If you enjoy chart analysis and active configuration, a tool like 3Commas or Bitsgap gives you that hands-on control.

2. What is your risk tolerance? Grid bots in sideways markets are relatively low-risk. Momentum bots in trending markets are higher-risk. Quant strategies with institutional risk management sit in a measured middle ground, targeting risk-adjusted returns rather than maximum upside.

3. What is your technical level? No-code tools (Coinrule, TradeSanta) are genuinely accessible for beginners. HaasOnline requires coding knowledge. Managed platforms (SaintQuant) require no technical skill at all — the complexity is handled for you.

4. What outcome are you actually trying to achieve? Passive income? Active trading income? Portfolio growth with reduced volatility? The right answer shapes the right tool.

How to Set Up Your First Crypto Bot Safely (Step-by-Step)

There are two distinct setup paths depending on whether you choose a managed platform (like SaintQuant) or a self-directed bot builder (like 3Commas or Bitsgap). Both are covered below.

Path A: Managed Platform (SaintQuant)

Step 1: Register — Create a free account at saintquant.com in under three minutes.

Step 2: Browse Strategies — Review the Strategies page. Each plan shows the bot type (DCA, Grid, Swing, Scalping), duration, target daily ROI, and risk level. Start with the free $99 Starter trial to evaluate real performance before committing larger capital.

Step 3: Deposit — Fund your account with your preferred cryptocurrency. Funds are held in institutional-grade cold storage.

Step 4: Activate Your Strategy — Select your chosen plan and confirm. The AI system takes over immediately — no further configuration required.

Step 5: Monitor (Lightly) — Check your dashboard periodically. At the end of the contract period, your capital plus earned profit is returned automatically.

Path B: Self-Directed Bot Builder (3Commas, Bitsgap, Coinrule, etc.)

Step 1: Choose Your Platform — Match the platform to your goals using the comparison table above.

Step 2: Create API Keys (Correctly) This is where most beginners make dangerous mistakes. When creating API keys on your exchange:

• Enable trade permissions only — never enable withdrawal permissions
• Enable IP allowlisting where available — restrict the key to the bot platform’s IP ranges
• Create a separate key for each bot platform — never reuse keys
• Store keys securely and rotate them every 90 days

Step 3: Start in Paper Trading / Demo Mode Before committing real capital, run your chosen strategy in demo mode for at least 2 weeks across different market conditions. Record performance and drawdown.

Step 4: Start Small with Real Capital Your first live allocation should be a small percentage of your intended total — 10–20%. Observe for 2–4 weeks. Verify that live performance aligns with demo results within a reasonable margin.

Step 5: Monitor, Don’t Abandon Automation does not mean zero oversight. Check your bot’s performance weekly at minimum. Review drawdown against your maximum acceptable threshold. Pause and reassess if the market enters a regime significantly different from backtest conditions.

Step 6: Rebalance and Refine As you gain confidence, expand allocation to strategies performing consistently. Reduce or pause strategies showing deteriorating Sharpe ratios. Diversify across multiple uncorrelated strategies where possible.

What Can Go Wrong — and How to Protect Yourself

Automation is powerful. It is not foolproof. Here are the most common failure modes:

API Key Compromise If your API key is stolen (phishing, data breach, insecure storage), an attacker with trade permissions can liquidate your positions or execute loss-generating trades. Use trade-only keys, IP allowlists, and two-factor authentication on both your exchange and bot platform accounts.

Exchange Outages Exchanges go down. During high-volatility events — exactly when you need execution most — APIs can throttle or fail. Platforms with robust error-handling (SaintQuant’s 24/7 execution infrastructure, for example) manage this more reliably than simple rule-based bots.

Overfitting in Backtests A backtest that shows 300% annual return usually means the strategy was curve-fitted to historical data that will never repeat exactly. Validate with out-of-sample data and paper trading. A realistic backtest on a robust strategy should show modest, consistent returns with manageable drawdown — not spectacular results.

Black Swan Events No bot can predict a Terra/LUNA-style collapse, a major exchange hack, or a sudden regulatory ban. Always maintain a maximum drawdown threshold and a manual override plan.

Strategy Regime Failure A grid bot configured for a $25,000–$35,000 BTC range will lose money if BTC breaks decisively above or below that range. Bots need to be monitored and parameters updated when market structure changes fundamentally.

Performance Metrics That Actually Matter

When evaluating any bot or strategy, look beyond “profit percentage.” These metrics tell a more complete story:

Sharpe Ratio: Measures return relative to risk taken. A Sharpe above 1.0 indicates better-than-average risk-adjusted performance. Above 2.0 is excellent. A strategy showing 200% annual return with a Sharpe of 0.3 is taking far more risk than the headline suggests.

Maximum Drawdown (Max DD): The largest peak-to-trough loss observed. If a strategy’s max drawdown is 60%, ask yourself: can you hold through a 60% paper loss without withdrawing? Most people cannot.

Win Rate vs. Risk/Reward Ratio: A strategy with 40% win rate but 3:1 reward-to-risk can be very profitable. A 90% win rate with 1:10 risk/reward is a disaster waiting to happen. These two metrics must be evaluated together.

Calmar Ratio: Annualised return divided by maximum drawdown. A Calmar above 2.0 is considered good. This is particularly useful for comparing strategies that chase different return/risk profiles.

Recovery Factor: How long does the strategy typically take to recover from its largest drawdown? A strategy with a 3-month recovery time is far more tolerable than one requiring 18 months.

Crypto Trading Strategies: A Plain-Language Primer

What Is Cryptocurrency Trading Automation?

Cryptocurrency trading automation means using software to execute trades based on predefined rules or AI models, removing the human from the execution loop. The goal is not to remove human judgment entirely — strategy design still requires it — but to ensure execution is consistent, fast, and emotionally neutral.

Why Automated Strategies Outperform Manual Trading for Most People

Humans are not wired for financial markets. We anchor on entry prices, hold losers too long, cut winners too early, and trade impulsively on news events. Automation enforces discipline that is extraordinarily difficult to maintain manually, especially through prolonged drawdowns.

Crypto markets also operate 24/7 — a significant structural advantage for bots over human traders who need to sleep.

The Role of Market Analysis in Strategy Design

Even the best automation requires periodic human oversight to validate that market conditions still match strategy assumptions. Tools like TradingView, CoinGecko, and on-chain analytics platforms (Glassnode, Nansen) provide the data layer that informs strategic decisions at the portfolio level — which strategies to run, and when to pause them.

Frequently Asked Questions

Q: What is the most reliable crypto trading bot in 2026? A: Reliability depends on what you’re optimising for. For a fully managed, AI-powered approach with no configuration required, SaintQuant offers a tiered suite of DCA, Grid, Swing, and Scalping strategies — each with defined contract periods, built-in risk management, and capital returned at period end. For self-directed automation, 3Commas and Cryptohopper have well-established track records. “Most reliable” for a beginner is the platform that requires the least manual intervention to avoid costly mistakes.

Q: Can crypto trading bots make money for beginners? A: Yes — but with important caveats. Bots enforce discipline and execute 24/7, which gives beginners structural advantages over manual trading. However, a poorly configured bot can lose money just as fast as a bad manual trader. The safest entry point for beginners is a managed platform like SaintQuant, which offers a $99 free 10-day trial so you can evaluate real performance before committing larger capital. For self-directed platforms, always start in demo/paper trading mode.

Q: What is the best free trading bot for crypto? A: SaintQuant offers a $99 free Starter plan (10-day trial, AI QuickStart DCA strategy) with no subscription commitment — your capital and profit are returned at the end of the period. Pionex also offers 10+ free built-in bots with only a 0.05% trading fee. Coinrule has a free tier for rule-based automation. For serious capital, a paid plan with robust risk management is worth the investment.

Q: How much money do I need to start with a crypto bot? A: SaintQuant’s entry point is $99 for the free Starter trial, with paid plans beginning at $150 (Basic, 5-day DCA strategy). Self-directed platforms like Coinrule and Pionex have no hard minimums but practical minimums of $200–$500 to generate meaningful returns across grid levels. Institutional-tier strategies naturally require larger capital allocations.

Q: Are crypto trading bots legal in the US and Australia? A: Yes. Automated crypto trading is legal in both the US and Australia. You remain responsible for tax obligations on trading profits. In Australia, the ATO treats crypto as property and capital gains tax applies to profits — SaintQuant operates under Australian jurisdiction (SAIN PTY LTD, QLD). In the US, the IRS treats crypto as property. Use crypto tax software to track bot-generated trades accurately.

Q: What is the difference between a trading bot and a copy trading platform? A: A trading bot executes a strategy on your account automatically based on pre-set rules or AI models. Copy trading mirrors another trader’s manual trades in real time. Managed platforms like SaintQuant go further — they deploy proprietary AI strategies entirely on your behalf, with no need to connect your own exchange account via API.

Q: Can I trust AI crypto trading tools? A: AI crypto tools vary enormously in quality. Most consumer “AI bots” use simple signal classification rather than sophisticated machine learning. SaintQuant explicitly uses artificial intelligence, machine learning, and deep learning models — and publishes its strategy types, risk levels, and historical target ROI data openly on its Strategies page. When evaluating any AI trading platform, look for disclosed strategy logic, verifiable performance data, transparent fee structures, and regulatory-grade security practices.

Q: What is cryptocurrency market analysis and do bots do it automatically? A: Market analysis involves evaluating price patterns, volume, on-chain data, macroeconomic factors, and sentiment to make trading decisions. Advanced AI bots like those powering SaintQuant’s strategies scan real-time market data across major exchanges continuously to inform each execution decision. Rule-based bots apply specific indicator logic. Neither replaces the need for periodic human review of whether a strategy still fits current market conditions.

The Bottom Line: Choosing the Best Trading Bot for Crypto

The best trading bot for crypto is the one that matches your goals, your risk tolerance, and your willingness to engage with the platform — not the one with the most features or the most aggressive marketing.

For passive income seekers and beginners who want professional-grade results without the complexity of building strategies from scratch, SaintQuant’s managed AI trading plans are the most accessible entry point in 2026. Start with the free $99 Starter trial — no subscription, capital and profit returned at the end of the 10-day period — and scale up from there. For active traders who want hands-on control, 3Commas and Bitsgap deliver mature, feature-rich platforms. For complete beginners testing the waters at zero cost, Pionex and Coinrule’s free tiers offer genuine on-ramps.

Whatever you choose: start small, verify performance before scaling, and never allocate more than you can afford to lose.

Ready to experience AI-powered crypto trading without the setup headache? Explore SaintQuant’s strategies and start your free trial →

Disclaimer: This is a Press Release provided by a third party who is responsible for the content. Please conduct your own research before taking any action based on the content.

World Liberty Financial (WLFI), the DeFi project tied to the Trump family, has posted a governance proposal restructuring token unlocks for all major holder categories, covering over 62 billion WLFI tokens in total.

Under the proposal, early supporters — presale buyers who purchased WLFI at either $0.015 or $0.05 per token — would see their more than 17 billion locked tokens placed on a 2-year cliff followed by a 2-year linear vest, with tokens beginning to unlock at year two and fully distributed by year four. Per the proposal, the unlock takes effect from the date that the proposal passes.

The initial WLFI presale began a year and a half ago, in mid-October, 2024, as The Defiant reported at the time. The proposed unlock and vesting schedule would mean early buyers will have to wait a total of five and a half years before their tokens are fully unlocked and distributed.

That timeline would notably extend well past January 2029, when Donald Trump’s second term as U.S. president ends.

Founders, team members, and partners, which hold a collective 45.2 billion WLFI, face a stricter schedule: a 2-year cliff with a 3-year linear vest, plus an immediate 10% burn of their allocation upon passage, per the proposal.

The proposed schedule does not replace a previous one, as the World Liberty team noted in the proposal and an X announcement today. WLFI’s original sale terms gave early buyers no guaranteed unlock date, and tokens could remain locked indefinitely, with any release contingent on a governance vote.

Holders who decline the new schedule remain under those original indefinite terms, per the proposal.

WLFI is currently trading around $0.08, down over 75% from its all-time high near $0.33, which it reached soon after launch.

Mounting Controversy

Earlier this week, WLFI’s largest investor, Justin Sun, publicly clashed with the project, alleging a hidden blacklisting function in the token contract gives WLFI unilateral power to freeze holder assets. WLFI responded by threatening legal action and calling Sun’s claims baseless.

The conflict follows reporting that WLFI borrowed roughly $75 million in stablecoins using its own WLFI tokens as collateral on Dolomite — a lending protocol co-founded by WLFI’s own CTO — drawing comparisons to prior DeFi blow-ups involving founder self-collateralization.

The latest governance vote runs for seven days with a 1 billion WLFI quorum threshold.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

Decentralized finance (DeFi) platform World Liberty Financial on Wednesday posted a governance proposal that would place 62.28 billion locked WLFI tokens under new multiyear vesting schedules and introduce a potential burn for founder, team, adviser and partner allocations. 

Under the proposal, early supporters’ locked tokens would face a two-year cliff followed by a two-year linear vest. Founder, team, adviser and partner allocations would face a two-year cliff followed by a three-year linear vest if those holders opt in to the new terms.

The plan also provides for a burn of up to 4.52 billion WLFI tokens, or 10% of the founder, team, adviser and partner allocation. Holders who do not accept the new vesting terms would remain locked indefinitely.

The move formalizes a phased unlock approach previously signaled by the project, offering a structured release of tokens while avoiding a near-term increase in supply. It comes as the Trump-linked platform faces growing pressure from holders and broader scrutiny of its governance.

WLFI proposal follows backlash, governance scrutiny

The proposal follows mounting criticism from early WLFI buyers over prolonged lockups and limited liquidity. On April 10, the project said it would introduce the proposal after some holders threatened legal action. 

Additional scrutiny emerged around the platform’s governance structure and decision-making process.

On Monday, Tron founder Justin Sun, who previously invested $30 million in WLFI, criticized the platform over transparency concerns, alleging that prior governance votes were dominated by a small number of wallets and lacked meaningful participation. In response, WLFI threatened to file a lawsuit against Sun.

Related: Trump faces renewed backlash as Trump-linked crypto tokens hit lows

On the same day, Sun urged WLFI to disclose who controls key wallets tied to its smart contracts, warning that the setup could allow significant control, including the ability to freeze tokens. 

The proposal also follows recent concerns around WLFI’s treasury activity and market performance. On Saturday, WLFI fell to a new all-time low, just days after wallets linked to the project used billions of tokens as collateral to borrow about $75 million in stablecoins. 

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