ForgeX
Prop firms →
Take the test before you pay for it
The same profit target and the same loss limits as the real thing, with no entry fee. Find out how a challenge goes before paying for one.
See prop firm practiceBacktest to get funded
ForgeX is the first ever backtesting-only firm. We are the only backtesting software that pays for your next prop firm challenge. It is the only place where prop firm traders earn while they learn, so you can stop bleeding thousands on failed evals and start getting funded for it instead.
190M+tradeable candles
66tradeable instruments
Real bars with the spread that was actually quoted, checked before they are served.
From the guides
What the research says
Why you sell winners and hold losers
10,000 accounts were examined. A position in profit was more than 50 percent more likely to be closed than one in loss, and it cost them 3.4 percent a year.
What the research says
What overconfidence costs a trader
35,000 households, split by expected confidence. The more confident group traded 45 percent more and gave up nearly a point more a year for it.
What the research says
What percentage of traders lose money
Europe's regulator made brokers hand over their numbers. Between 74 and 89 percent of retail accounts lost money, and the average loss ran into thousands.
What the research says
Can you day trade for a living
Two studies tracked hundreds of thousands of real day traders. 97 percent of those who kept at it lost money, and under 1 percent were reliably profitable.
What the research says
Does trading more often make you more money
66,465 households were tracked for six years. The ones who traded most earned 11.4 percent a year while the market returned 17.9 percent.
Backtesting
What backtesting is, and what it can and cannot tell you
Backtesting means checking a trading idea against history before you risk money on it. Here is what it proves, what it does not, and where it misleads people.
Backtesting
How to backtest a trading strategy, step by step
A plain walkthrough of manual backtesting. Write the rules down, pick the data, replay it bar by bar, record every trade, then read the result honestly.
Backtesting
How many trades do you need before a backtest means anything
Ten trades settle nothing. Here is why small samples mislead, and how to tell a real result from a lucky one.
Backtesting
In sample and out of sample testing, explained simply
Splitting the data is the cheapest way to catch a strategy that only works on the history it was built from. Here is the method and how to read the outcome.
Backtesting
Overfitting: how to tell a real edge from a curve fit
Overfitting is what happens when you tune a strategy until it fits the past perfectly. Here is what causes it and how to catch it in a result before trusting it.
Backtesting
How far back should you backtest
How much history a test needs depends on trade frequency and on which market conditions have to be covered. Here are the rough numbers and the reasoning.
Backtesting
Why your backtest beat your live results
Almost everyone trades worse live than in testing. Here are the seven reasons why, and which of them you can actually fix.
Risk and position sizing
Position sizing, explained without the jargon
How to work out how much to trade. The percent risk method, the maths behind it, and why sizing decides survival more than entries do.
Risk and position sizing
Risk of ruin, and the drawdown you should expect
Even a winning strategy can lose everything at the wrong size. Here is what risk of ruin means, what drives it, and how to keep it near zero.
Risk and position sizing
Risk to reward and win rate: the trade off nobody explains
A high win rate is not the goal. Here is how win rate and reward to risk fit together, and the break even table you can check your strategy against.
Risk and position sizing
What a normal losing streak looks like
Long losing runs are a normal feature of a working strategy. Here is how long a run to expect at your win rate, and how to tell a normal one from a real problem.
Prop firm challenges
Why most people fail prop firm challenges
It is rarely the profit target that stops people. Here are the real reasons challenges fail and what to do differently.
Prop firm challenges
Daily drawdown limits, and what trailing really means
Static, trailing and end of day drawdown limits behave very differently. Here is how each one works with a worked example.
Prop firm challenges
Prop firm rules explained in plain words
Profit targets, loss limits, minimum days, consistency rules and payout splits. What each rule means and which ones actually catch people out.
What the research says
Why you sell winners and hold losers
10,000 accounts were examined. A position in profit was more than 50 percent more likely to be closed than one in loss, and it cost them 3.4 percent a year.
What the research says
What overconfidence costs a trader
35,000 households, split by expected confidence. The more confident group traded 45 percent more and gave up nearly a point more a year for it.
What the research says
What percentage of traders lose money
Europe's regulator made brokers hand over their numbers. Between 74 and 89 percent of retail accounts lost money, and the average loss ran into thousands.
What the research says
Can you day trade for a living
Two studies tracked hundreds of thousands of real day traders. 97 percent of those who kept at it lost money, and under 1 percent were reliably profitable.
What the research says
Does trading more often make you more money
66,465 households were tracked for six years. The ones who traded most earned 11.4 percent a year while the market returned 17.9 percent.
Backtesting
What backtesting is, and what it can and cannot tell you
Backtesting means checking a trading idea against history before you risk money on it. Here is what it proves, what it does not, and where it misleads people.
Backtesting
How to backtest a trading strategy, step by step
A plain walkthrough of manual backtesting. Write the rules down, pick the data, replay it bar by bar, record every trade, then read the result honestly.
Backtesting
How many trades do you need before a backtest means anything
Ten trades settle nothing. Here is why small samples mislead, and how to tell a real result from a lucky one.
Backtesting
In sample and out of sample testing, explained simply
Splitting the data is the cheapest way to catch a strategy that only works on the history it was built from. Here is the method and how to read the outcome.
Backtesting
Overfitting: how to tell a real edge from a curve fit
Overfitting is what happens when you tune a strategy until it fits the past perfectly. Here is what causes it and how to catch it in a result before trusting it.
Backtesting
How far back should you backtest
How much history a test needs depends on trade frequency and on which market conditions have to be covered. Here are the rough numbers and the reasoning.
Backtesting
Why your backtest beat your live results
Almost everyone trades worse live than in testing. Here are the seven reasons why, and which of them you can actually fix.
Risk and position sizing
Position sizing, explained without the jargon
How to work out how much to trade. The percent risk method, the maths behind it, and why sizing decides survival more than entries do.
Risk and position sizing
Risk of ruin, and the drawdown you should expect
Even a winning strategy can lose everything at the wrong size. Here is what risk of ruin means, what drives it, and how to keep it near zero.
Risk and position sizing
Risk to reward and win rate: the trade off nobody explains
A high win rate is not the goal. Here is how win rate and reward to risk fit together, and the break even table you can check your strategy against.
Risk and position sizing
What a normal losing streak looks like
Long losing runs are a normal feature of a working strategy. Here is how long a run to expect at your win rate, and how to tell a normal one from a real problem.
Prop firm challenges
Why most people fail prop firm challenges
It is rarely the profit target that stops people. Here are the real reasons challenges fail and what to do differently.
Prop firm challenges
Daily drawdown limits, and what trailing really means
Static, trailing and end of day drawdown limits behave very differently. Here is how each one works with a worked example.
Prop firm challenges
Prop firm rules explained in plain words
Profit targets, loss limits, minimum days, consistency rules and payout splits. What each rule means and which ones actually catch people out.
Trader Journey →
Get paid for getting good at backtesting
A road that takes you from your first practice trade to a funded account, rewarding you at every milestone along the way. Wind any market back to a real day, prove your edge over real trades, climb a battle-pass style rewards road, and claim a free prop-firm evaluation or cash toward a payout.
See the Trader JourneyEvery trade, written down without you typing
- Backtesting journal Every trade you take in a replay session is recorded on its own, with the chart saved at entry and at exit.
- Live journal Connect a broker account and your real trades land in the same place, in the same shape, next to the practice ones.
- Book journal The whole record as a book that opens. Pick a cover, turn the pages, and read a month back the way a notebook reads.
Vektor AI →
Find out where the money goes
The 9am hour earns. The 3pm hour gives it back. Ask it questions in plain language.
See Vektor AICommunity →
Results the platform can prove
Every figure on the feed is measured by the platform itself. Records here cannot be edited or invented.
See communityCreators →
Get paid for what you already teach
Post videos, sell strategies and presets, and take payouts in the same place your audience already is. One place for the teaching and the payments, with no separate website to build.
See creator toolsUnder it all
The data is the product
A backtest is only worth what the prices behind it are worth. Ours are minute by minute, with the real spread, checked against the exchange.
190M+One minute candles
66Instruments
2019History reaches back to
0Gaps on a trading day
The spread that was really quoted
Every fill pays the bid to ask spread that was really quoted for that minute. A strategy that only survives with costs switched off falls over here, early and for free.
Forex, futures, metals, crypto
Majors and crosses, the CME index and metals contracts and their micros, oil, gold, silver and the big crypto pairs. All on the same clock.
Checked, not just collected
Every series is swept for prices that cannot be real before it is served. A session can only start on a date we can actually draw.
Pricing
Start free, upgrade when the work grows
You do not need a card to begin.
Free
Practice for nothing
$0 / forever
No card needed
Start Free- ✓20 credits for Vektor AI (one-time)
- ✓One replay session at a time
- ✓Six months of history on MNQ, NQ and every forex pair
- ✓25 journal entries
- ✓Core stats and session breakdown
- ✗Automatic screenshots
Most popular
Edge
Test and sharpen your setups
$12.50 / month
or $140 a year, saving $10
Choose Edge- ✓150 credits for Vektor AI, every 48h
- ✓Three replay sessions at once
- ✓Forex & CFD history back to 2015
- ✓Several instruments together
- ✓Automatic screenshots on every trade
- ✓AI assistant and creator earnings
- ✗Strategy DNA and coaching report
Edge+
A coach that reads your whole history
$28 / month
or $320 a year, saving $16
Choose Edge+- ✓90 credits for Vektor AI, every 12h
- ✓Up to ten replay sessions at once
- ✓Full history back to 2008
- ✓Results by market type and volatility
- ✓Consistency and rule break check
- ✓A graded coaching report
- ✓Everything in Edge
Community
For traders who have paid in losses, not dollars
Free / earned
No card, just your story
Chat with usShow us how much you have lost, and how many accounts you have blown. The more honest the story, the better your shot.
- ✓Tell your trading story, with proof of the losses
- ✓We read every single one ourselves
- ✓Free access to EDGE/EDGE+ for a month or more
Every feature side by side
| Feature | Free | Edge | Edge+ |
|---|---|---|---|
| Replay and data | |||
| Active replay sessions | 1 session | 3 at once | Up to 10 |
| Several instruments in one session | ✗ | ✓ | ✓ |
| How far back the data goes | 6 months | Back to 2015 | Back to 2008 |
| Forex, gold, oil, crypto and indices | 6 months | Back to 2015 | Complete (to 2008) |
| Micro futures (MES, MNQ) | MNQ only | All | All |
| Full futures suite (NQ, ES, CL, GC, YM) | NQ only | All | Complete |
| Journal and analytics | |||
| Trade journal and screenshots | 25, by hand | Unlimited, automatic | Unlimited, automatic |
| Automatic entry and exit screenshots | ✗ | ✓ | ✓ |
| Win rate and core stats | ✓ | ✓ | ✓ |
| Risk and reward breakdown | ✓ | ✓ | ✓ |
| Forex session radar | ✓ | ✓ | ✓ |
| Strategy profile and playbook | ✓ | ✓ | ✓ |
| AI and analysis | |||
| AI chat assistant | ✗ | ✓ | ✓ |
| Vektor AI | ✗ | ✓ | ✓ |
| Strategy scanner | ✗ | ✓ | ✓ |
| Does it work verdict and grade | ✗ | ✓ | ✓ |
| Strategy DNA breakdown | ✗ | ✗ | ✓ |
| Market regime and volatility mapping | ✗ | ✗ | ✓ |
| Consistency score | ✗ | ✗ | ✓ |
| Vektor AI report | ✗ | ✗ | ✓ |
| Community and earning | |||
| Social feed, Hall of Fame and Hall of Fail | View only | ✓ | ✓ |
| Creator earnings | ✗ | ✓ | ✓ |
| Help desk and community | ✓ | ✓ | ✓ |
| Public trader profile | ✓ | ✓ | ✓ |
How it works
From idea to proven edge in three steps
STEP 1
Replay
Pick a market and a date, then trade it forward at whatever pace suits.
STEP 2
Measure
Results are logged as the session runs, so what held up and what did not is there afterwards.
STEP 3
Deploy
Take the parts that worked into your live account, and keep the record running.
Resources
Learn how to test a trading idea properly
Plain guides on backtesting and position sizing, on win rate and prop firm rules. No jargon, and the maths shown where it matters.
What the research says
The numbers on how retail traders actually do, taken from regulators and peer reviewed studies rather than from anyone selling a course.
5 guides
Backtesting
How to test a trading idea against history, and how to tell whether the result means anything.
7 guides
Risk and position sizing
How much to put on a trade, what a normal losing run looks like, and the maths that decides whether you survive one.
4 guides
Prop firm challenges
What the rules actually mean, why most people fail, and how to practise a challenge before you pay for one.
3 guides
How to backtest a trading strategy, step by step
A plain walkthrough of manual backtesting. Write the rules down, pick the data, replay it bar by bar, record every trade, then read the result honestly.
9 min read
How many trades do you need before a backtest means anything
Ten trades tell you nothing. Here is why small samples lie, what the common thresholds are, and how to tell whether your result is signal or luck.
7 min read
Position sizing, explained without the jargon
How to work out how much to trade. The percent risk method, the maths behind it, and why sizing decides survival more than entries do.
7 min read
Why most people fail prop firm challenges
It is rarely the profit target that stops people. Here are the real reasons challenges fail and what to do differently.
7 min read
Overfitting: how to tell a real edge from a curve fit
Overfitting is what happens when you tune a strategy until it fits the past perfectly. Here is how it happens, how to spot it, and how to avoid it.
7 min read
Daily drawdown limits, and what trailing really means
Static, trailing and end of day drawdown limits behave very differently. Here is how each one works with a worked example.
6 min read
Put your strategy to the test
Open a session, pick a date, and find out whether a long held belief about the trading survives contact with the data.
