TradeArmor, Self-Hosted Automated Crypto Trading

Comparison of simple DCA buys clustered in a tight price band versus gated DCA buys spaced down a falling market with cooldown and EQ-price gates

Gated DCA vs Simple DCA: The Math That Matters

Gated DCA vs simple DCA, compared on the math that matters: how cost-basis gates, cooldowns, and EQ-price logic decide whether averaging down actually works.

A crypto DCA strategy laid out as a rules engine: spaced buy levels stepping down a falling price chart with cooldown timers, an EQ-price gate, and a reserve cash floor

Crypto DCA Strategy: The Complete Guide That Holds Up

A complete crypto DCA strategy guide: when dollar cost averaging works, when it fails, and how a gated rules engine actually lowers your cost basis.

An RSI and MACD combined crypto strategy shown as two instruments feeding one rule: RSI measuring momentum speed and MACD measuring trend direction, combined into the boolean formula RSI_BUY and MACD_BUY on a self-hosted bot

RSI MACD Strategy: A Combined Guide for Crypto

An RSI MACD strategy combines momentum and trend so each covers the other's blind spot. How it works, the best crypto settings, and the bot rule.

The Supertrend indicator shown as a single ATR-scaled trend line that flips below price in an uptrend and above price in a downtrend, gated with RSI into the boolean bot rule SUPERTREND buy and RSI buy on a self-hosted crypto trading bot

Supertrend Indicator Explained for Crypto Traders

The Supertrend indicator is an ATR-based trend filter. How it works, the best crypto settings, where it whipsaws, and how to run it as a bot rule.

A plain English crypto strategy builder turning the sentence buy when RSI is oversold and MACD turns up into the boolean formula RSI_BUY and MACD_BUY running on a self-hosted bot

Plain English Crypto Strategy Builder: Sentence to Rule

A plain English crypto strategy builder turns a sentence like buy when RSI is oversold and MACD turns up into a boolean rule your bot runs. Here is how.

A crypto strategy backtest showing an equity curve, win rate, and max drawdown on a self-hosted trading bot, with the reminder that past performance does not predict future results

How to Backtest Crypto Strategy Without Fooling Yourself

How to backtest crypto strategy honestly: what a backtest proves, the biases that fake your results, fees, slippage, and a self-hosted walkthrough.

A crypto DCA bot shown as a rules engine: spaced buy levels stepping down a falling price chart, each gated by a cooldown timer, an EQ-price check, and a reserve cash floor, all running on the owner's own machine with the withdrawal permission switched off

Best Crypto DCA Bot: What Actually Matters

A real crypto DCA bot gates each buy on price, cooldown, and reserve cash, not a calendar. Here is what separates one from a recurring buy, with a 2026 matrix.

A crypto grid bot working a sideways BTC/USDC range, with evenly spaced buy orders below price and sell orders above, each filled buy automatically placing a sell one grid level up, and the upper and lower bounds marking where the grid stops working

Crypto Grid Trading Explained: How Grid Bots Work

Crypto grid trading explained: how a grid bot profits from a sideways market, how to set range, step size, and order count, and when a grid breaks.

A side-by-side view of a crypto paper trading run with a simulated balance and a live trading account, on a self-hosted trading bot, with the reminder that past performance does not predict future results

Paper Trading vs Live Trading: When to Switch

Paper trading vs live trading in crypto: what a paper run proves, the execution and psychology gaps it hides, and how to know when to switch to real money.

A bot setup screen choosing the quote pair, with BTC/USDC and BTC/USDT side by side, USDC tagged for monthly reserve reporting and a US trust charter and USDT tagged for deeper liquidity and quarterly attestations, and a note that the key placing the orders stays on your own machine either way

BTC/USDC vs BTC/USDT: Which Pair for a Trading Bot

BTC/USDC vs BTC/USDT for a trading bot: how the two stablecoins differ on reserves, regulation, and liquidity, and why TradeArmor defaults to BTC/USDC.

A Bollinger Bands strategy for crypto shown as a 20-period middle band with two standard-deviation outer bands, contracting into a squeeze then expanding on a breakout, gated with RSI into the boolean bot rule BOLLINGER buy and RSI buy on a self-hosted crypto trading bot

Bollinger Bands Strategy for Crypto Traders

A Bollinger Bands strategy for crypto works two ways: mean reversion in a range and the squeeze breakout. How each works, the settings, and the bot rule.

An EMA crossover strategy for crypto shown as a fast 9-period EMA crossing above a slow 21-period EMA at the golden cross and below it at the death cross, gated with RSI into the boolean bot rule EMA buy and RSI buy on a self-hosted crypto trading bot

EMA Crossover Strategy for Crypto Traders

An EMA crossover strategy for crypto trades the golden cross and death cross. How fast and slow EMAs work, the period pairs, and the bot rule.

A stack of DCA legs bought at different prices, with the lowest unsold leg highlighted as EQPRICE against the blended average line above it

ProfitTrailer EQPRICE Explained (and How Gated DCA Uses It)

ProfitTrailer EQPRICE explained: what the per-leg bought price actually does, why it beats the blended average, and how a gated DCA bot uses it to buy.

The Ichimoku Cloud on a crypto chart showing the Tenkan-sen crossing above the Kijun-sen, price closing above a green Kumo, and Chikou span confirmation, gated into the boolean bot rule EMA buy and Supertrend buy on a self-hosted crypto trading bot

Ichimoku Cloud Strategy for Crypto Traders

An Ichimoku cloud strategy for crypto needs more than a green cloud. The TK cross, Chikou confirmation, real settings, and how to run it as a bot rule.

A VWAP strategy for crypto shown as a volume weighted average price line with standard deviation bands, anchored to a swing low, gated into the boolean bot rule VWAP buy and OBV buy on a self-hosted crypto trading bot

VWAP Strategy for Crypto Traders

A VWAP strategy for crypto has to solve a problem stocks never had: no closing bell. How VWAP, anchored VWAP, and deviation bands become a bot rule.

Parabolic SAR dots trailing below a rising crypto price then flipping above it during a stop and reverse, gated with a Supertrend trend filter into the boolean bot rule Supertrend buy and EMA buy on a self-hosted crypto trading bot

Parabolic SAR Strategy for Crypto Traders

A parabolic sar strategy without a trend filter turns into a whipsaw machine. The real formula, the acceleration factor, and how to gate it into a bot rule.

Stochastic oscillator %K and %D lines crossing above the 80 overbought band during a strong crypto uptrend, gated with a Supertrend trend filter into the boolean bot rule Stochastic buy and Supertrend buy on a self-hosted crypto trading bot

Stochastic Oscillator Strategy for Crypto Trading Bots

A stochastic oscillator strategy on the default 14,3,3 settings whipsaws hard in a real trend. The formula, the fast vs slow vs StochRSI split, and the fix.

An ADX line climbing above the 25 threshold while DI plus crosses above DI minus, confirming trend strength and direction together, gated into the boolean bot rule Supertrend buy and ADX buy on a self-hosted crypto trading bot

ADX Strategy for Crypto Traders

An ADX strategy for crypto measures trend strength, not direction. The threshold levels that matter, why ADX alone never trades, and the bot rule that gates it.

A Keltner Channel EMA basis with an ATR envelope drawn tight around price while the Bollinger Bands sit fully inside it, marking a squeeze that later fires into a breakout, gated with a directional confirmation into the boolean bot rule BOLLINGER buy and KELTNER buy on a self-hosted crypto trading bot

Keltner Channel Strategy for Crypto: Trading the Squeeze Before It Fires

A keltner channel strategy pairs an EMA basis with an ATR envelope to catch crypto's pre-breakout squeeze. The formula, the TTM setup, and the bot rule.

A cumulative On-Balance Volume line climbing beneath a rising crypto price chart, then flattening into a bearish divergence while price keeps printing higher highs, gated with a trend indicator into the boolean bot rule SUPERTREND buy and OBV buy on a self-hosted crypto trading bot

OBV Strategy for Crypto: Reading On-Balance Volume Before Price Confirms It

An OBV strategy tracks cumulative volume flow to catch buying or selling pressure before price confirms it. The formula, divergence reads, and the bot rule.

A 50-day SMA crossing above a 200-day SMA at the golden cross and back below it at the death cross, gated with a trend-strength filter into the boolean bot rule SMA buy and ADX buy on a self-hosted crypto trading bot

SMA Golden Cross and Death Cross Strategy for Crypto

A golden cross and death cross strategy for crypto runs on the classic 50-day and 200-day SMA, not EMA. The mechanics, the history, and the bot rule.

Five technical indicators stacked into one overfit boolean rule next to a leaner three indicator rule pulling one signal from each category, on a self-hosted crypto trading bot's strategy builder

Signal Stacking vs. Overfitting: How Many Indicators Should a Crypto Bot Use

Signal stacking helps a crypto bot right up until it doesn't. Where confluence turns into overfitting, and how many indicators is actually too many.

Three candlestick charts of the same BTC/USDC move on 1-hour, 4-hour, and daily intervals, showing how the same price action produces a different number of candles and a different signal read on a self-hosted crypto trading bot

Best Timeframe for a Crypto Trading Bot: 1H vs. 4H vs. Daily

The best timeframe for a crypto trading bot depends on fees, monitoring time, and noise, not a magic interval. 1H vs 4H vs daily, and how to pick.

An in-sample backtest equity curve climbing smoothly next to a choppier, lower out-of-sample walk-forward curve for the same crypto trading strategy, illustrating how walk-forward testing exposes overfitting a normal backtest hides

Walk-Forward Testing vs. Backtesting: Why Your Crypto Strategy Backtest Lies to You

Walk-forward testing splits a crypto strategy backtest into blind out-of-sample windows, exposing the overfitting a normal single-pass backtest hides.

$Two crypto trading bot position sizing bars side by side, a flat fixed fractional bar staying constant across trades next to a Kelly criterion bar that shrinks and grows with edge and odds, on a self-hosted trading dashboard$

Position Sizing for a Crypto Bot: Fixed Fractional vs. Kelly Criterion

Position sizing for a crypto bot decides more of the outcome than the entry signal. The fixed fractional and Kelly criterion math, compared honestly.

A sideways price chart with a grid bot's evenly spaced buy and sell order lines next to a downward-trending chart with a DCA bot's widening buy levels, illustrating which crypto trading bot strategy fits a ranging versus a trending market

Grid Trading vs DCA Bot: Which Fits Your Market

Grid trading vs DCA bot is not a preference, it is a bet on whether the market ranges or trends. The mechanics, the failure modes, and how to choose.

A single crypto trading bot dashboard split into three independent Trading Groups, BTC and ETH running cava-signals, an altcoin group running a custom RSI formula, and a range-bound pair running the grid bot, each with its own position count and sell rules

Trading Groups: Running Multiple Strategies on One Crypto Bot

Trading Groups let you run multiple strategies on one crypto bot: signals on BTC, custom rules on alts, grid on a range-bound pair, each with its own settings.

A strategy configuration screen showing a cava-signal buy candidate gated by two indicator conditions, RSI below 35 and MACD bullish, with the gate shown passing and the resulting trade logged

Hybrid Crypto Trading Strategy: Signals Plus Your Own Filter Rules

A hybrid crypto trading strategy runs cava-signals through your own indicator filters before a trade fires. Here's how TradeArmor's Hybrid Mode works.