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Vantixs Blog

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Pillar guides that answer the big questions: safety, backtesting, indicators, templates, and live ops.

BacktestingPillar
Feb 116 min read

Crypto Backtesting: How to Backtest a Trading Strategy (Complete Guide for 2026)

Crypto backtesting explained end-to-end: data quality, fees, slippage, funding rates, walk-forward validation, Monte Carlo stress testing, and the exact workflow to go from idea → backtest → paper trade → live.

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SafetyPillar
Feb 410 min read

Crypto Trading Bot Safety: API Keys, Permissions, and Risk Controls (2026 Guide)

A practical safety guide for crypto trading bots: trade-only API keys, permissions, encryption expectations, and the operational risk controls that prevent one bad day from wiping you out.

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GuidesPillar
Feb 49 min read

No‑Code Crypto Trading Bot (Beginner Hub): Build, Backtest, Paper Trade, Go Live

A beginner hub for building no-code crypto trading bots: what to build first, how to backtest realistically, how long to paper trade, and the safest path from idea → validation → live.

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StrategiesPillar
Feb 411 min read

Crypto Trading Bot Strategy Templates (Library): What to Use, When, and Why (2026)

A practical library of crypto bot strategy templates: trend, breakout, mean reversion, and momentum. Learn which template fits which market regime and how to validate each before going live.

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IndicatorsPillar
Feb 412 min read

Best Indicators for Crypto Trading Bots (2026): Practical Combos That Backtest Well

A practical guide to indicators for crypto bots: trend filters, momentum, volatility, and risk sizing. Learn indicator combos that make sense, when they fail, and how to validate them without overfitting.

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Live TradingPillar
Feb 410 min read

Live Crypto Trading Bot Operations: Monitoring, Alerts, and Failure Playbooks

Live trading is where strategies break. Learn what to monitor (fills, latency, DD), what to alert on, and how to design kill-switches and playbooks for exchange/API failures.

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Latest Articles

Safety
Feb 56 min read

Trade-Only API Keys for Crypto Bots: What to Enable (and What to Never Enable)

A simple checklist for exchange API key permissions for trading bots. Learn what “trade-only” really means, why withdrawal permissions are a dealbreaker, and how to reduce blast radius.

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Safety
Feb 56 min read

IP Whitelisting for Crypto Exchange API Keys: When to Use It (and When It Breaks Bots)

IP whitelisting can significantly improve security for trading bots, but it can also break deployments if you don’t understand your runtime. Here’s when to use it and how to avoid downtime.

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Safety
Feb 67 min read

Crypto Trading Bot Risk Limits Checklist: Max DD, Exposure Caps, and Kill Switches

A practical checklist of risk limits every crypto trading bot needs: max drawdown, max daily loss, exposure caps, volatility circuit breakers, and what to do when limits are hit.

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Safety
Feb 67 min read

Exchange API Key Hygiene for Crypto Bots: Rotation, Scope, and Incident Response

API keys are secrets. Learn key rotation, scoping, environment separation, and what to do immediately if a key is leaked or you suspect compromise.

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Safety
Feb 78 min read

How to Evaluate a Crypto Trading Bot Platform: Safety Checklist (Custody, Keys, Controls)

A buyer’s checklist to evaluate any crypto trading bot platform: custody model, API permissions, encryption expectations, risk controls, and operational resilience.

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Indicators
Feb 77 min read

RSI Range Shift for Crypto Bots: Stop Using 30/70 in Strong Trends

In strong crypto trends, RSI doesn’t behave like 30/70. Learn RSI range shift (40–80 / 20–60), when to use it, and how to backtest it without curve fitting.

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Indicators
Feb 88 min read

ATR Stops and Position Sizing for Crypto Bots: The Practical Guide

ATR is one of the most useful tools in crypto bots: volatility-aware stops and position sizing. Learn sane defaults, what breaks, and how to validate with realistic costs.

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Indicators
Feb 87 min read

MACD + Trend Filter for Crypto Bots: A Simple Combo That Avoids Chop

MACD alone is noisy in ranges. Combine it with a trend filter to avoid chop and reduce false signals. Here’s a simple ruleset and validation checklist.

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Indicators
Feb 98 min read

Bollinger Bands Mean Reversion for Crypto Bots: When It Works (and When It Gets You Wrecked)

Bollinger mean reversion can work in ranges and fail catastrophically in expansions. Learn regime filters, risk limits, and the backtesting traps specific to mean reversion.

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Indicators
Feb 97 min read

Indicator Parameter Sensitivity: How to Avoid Overfitting Crypto Bots

If a tiny parameter tweak kills performance, you don’t have an edge. Learn sensitivity checks for indicator strategies and how to validate without curve fitting.

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Strategies
Feb 108 min read

Trend-Following Crypto Bot Template: Rules, Risk Limits, and Validation

A simple trend-following template for crypto bots: trend filter, entry trigger, exit logic, and risk limits. Includes a validation checklist to avoid overfitting.

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Strategies
Feb 108 min read

Breakout Crypto Bot Template: Volatility Filters and Slippage Reality

Breakouts are where crypto bots win big and lose big. Use this breakout template with volatility filters, position sizing, and realistic backtesting assumptions.

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Strategies
Feb 118 min read

Mean Reversion Crypto Bot Template: Strict Risk Rules for Ranging Markets

A mean reversion template for crypto bots designed for ranges: entry zones, exits, volatility guardrails, and the risk limits that prevent blowups during trend transitions.

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Strategies
Feb 119 min read

Grid Bot vs DCA vs Trend Bots (Crypto): Which One Fits Your Regime?

Grid, DCA, and trend bots behave very differently. Learn what regime each bot likes, the failure modes, and the validation checks to run before risking capital.

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Strategies
Feb 127 min read

Regime Filters for Crypto Bot Templates: Stop Running the Right Strategy at the Wrong Time

A strategy template can be correct but mistimed. Learn simple regime filters (trend/volatility/range) to decide when to run trend, breakout, or mean reversion bots.

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Live Trading
Feb 127 min read

Crypto Trading Bot Monitoring Metrics: What to Track Daily (and Why)

A practical monitoring checklist for crypto bots: order success rate, fill quality, slippage, drawdown, exposure, and when to pause a strategy.

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Live Trading
Feb 137 min read

Crypto Trading Bot Alerting Rules: What to Alert On (Before It’s Too Late)

Alerts are your early-warning system. Learn the high-signal alerts for crypto bots: error rates, no fills, DD thresholds, spread widening, and position anomalies.

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Live Trading
Feb 138 min read

Handling Exchange Outages in Crypto Bots: Retries, Pauses, and Safe Recovery

Exchanges go down. Learn how bots should behave during outages: idempotent retries, pause policies, cancel/replace strategies, and recovery steps to avoid double orders.

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Live Trading
Feb 148 min read

Rate Limits, Retries, and Idempotency: The Live Trading Essentials for Crypto Bots

Most live bot bugs are not “strategy bugs”—they are retry bugs. Learn rate-limit handling, backoff, idempotency keys, and safe order workflows.

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Live Trading
Feb 147 min read

Kill Switches and Circuit Breakers for Crypto Bots: Design Patterns That Save Accounts

A kill switch is your last line of defense. Learn practical kill-switch triggers (DD, volatility, API errors), how to resume safely, and common mistakes.

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Backtesting
Feb 157 min read

Survivorship Bias in Crypto Backtesting: Why Testing Only “Survivors” Overstates Returns

Crypto tokens die, delist, and rebrand. If your backtest ignores dead tokens, you may be measuring a fantasy. Learn survivorship bias and how to reduce it.

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Backtesting
Feb 157 min read

Crypto Backtesting Data Quality Checklist: Missing Candles, Bad Wicks, and Symbol Drift

A practical data quality checklist for crypto backtests: missing candles, bad ticks, exchange differences, symbol changes, and how these issues create fake edges.

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Backtesting
Feb 167 min read

Crypto Backtesting Metrics That Matter: Drawdown, Exposure, and Trade Count (Not Just Return)

Stop judging crypto strategies by return alone. Learn the metrics that predict survivability: max drawdown, exposure, trade count, profit factor, and expectancy.

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Backtesting
Feb 167 min read

Exchange Differences in Crypto Backtesting: Why a Strategy Works on One Venue and Fails on Another

Fees, spreads, liquidity, and market microstructure vary by exchange. Learn how to re-test across venues and avoid false confidence from single-exchange backtests.

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Backtesting
Feb 27 min read

Look-Ahead Bias in Crypto Backtesting: The Silent Bug That Makes Bad Strategies Look Great

Look-ahead bias is the #1 invisible error in crypto backtests: using future information to make past decisions. Learn the common ways it sneaks in (indicators, candle-close fills, leaks), how to detect it, and how to fix it.

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Backtesting
Feb 37 min read

Backtesting vs Paper Trading vs Forward Testing (Crypto): When to Use Each

Backtesting, paper trading, and forward testing are not interchangeable. Learn the purpose of each, what each can and cannot prove in crypto markets, and the safest path from idea → validation → live.

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Backtesting
Feb 18 min read

Slippage, Fees, and Funding: Why Your Crypto Backtest Lies (and How to Fix It)

Most crypto strategies fail live for one reason: costs. Learn how slippage, spreads, taker fees, and funding rates silently destroy backtests—and how to model them realistically.

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Backtesting
Feb 17 min read

Walk-Forward Optimization for Crypto: The Anti-Overfitting Playbook

Crypto regimes change fast. Walk-forward validation is how you stop curve-fitting and prove your strategy survives out-of-sample. Here’s the exact workflow and what “good” looks like.

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Backtesting
Feb 17 min read

Monte Carlo Crypto Backtesting: Stress Test Your Strategy (Before It Breaks Live)

Monte Carlo backtesting helps you understand fragility: sequence risk, slippage variance, and drawdown probability. Here’s what to simulate and how to interpret results for crypto strategies.

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Backtesting
Feb 16 min read

Overfitting in Crypto Backtesting: How to Detect It and Stop Lying to Yourself

Overfitting is the #1 reason crypto backtests don’t survive live. Learn the warning signs, how to validate properly, and how to design strategies that generalize across regimes.

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Education
Jan 1014 min read

Backtesting 101: How to Test Your Trading Strategy Before Risking Real Money

A complete guide to backtesting trading strategies. Learn Monte Carlo simulation, walk-forward optimization, and how to avoid the deadly trap of overfitting that destroys most algorithmic traders.

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Strategies
Jan 515 min read

5 RSI Trading Strategies You Can Build Without Code in 2026

Master RSI-based trading strategies using visual builders. From basic overbought/oversold signals to divergence detection, multi-timeframe analysis, and RSI + MACD combinations that actually work.

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Advanced
Dec 2818 min read

Machine Learning Trading Bots: A Beginner's Guide to AI-Powered Trading in 2026

Demystifying ML in trading. Learn how XGBoost, LSTM, and feature engineering actually work for predicting markets—and how to use them without writing Python code.

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